Badania

Zainteresowania naukowe pracowników Katedry Sztucznej Inteligencji obejmują szeroko pojęte metody inteligencji obliczeniowej oraz ich zastosowania.

Publikacje (818)

Ostatnia synchronizacja: 2024-11-17

2024 (39)

Leader-Follower Consensus Over Finite Fields
Lin L., Cao J., Lam J., Zhu S., Azuma S.-I., Rutkowski L., Leader-Follower Consensus Over Finite Fields, IEEE Transactions on Automatic Control, 69, 69, 4718-4725, 2024, Liczba cytowań: 7
Circuit Implementation and Quasi-Stabilization of Delayed Inertial Memristor-Based Neural Networks
Xin Y., Cheng Z., Cao J., Rutkowski L., Wang Y., Circuit Implementation and Quasi-Stabilization of Delayed Inertial Memristor-Based Neural Networks, IEEE Transactions on Neural Networks and Learning Systems, 35, 35, 1394-1400, 2024, Liczba cytowań: 6
A Bisimulation-Based Foundation for Scale Reductions of Continuous-Time Markov Chains
Lin L., Cao J., Lam J., Rutkowski L., Dimirovski G.M., Zhu S., A Bisimulation-Based Foundation for Scale Reductions of Continuous-Time Markov Chains, IEEE Transactions on Automatic Control, 69, 69, 5743-5758, 2024, Liczba cytowań: 5
Set Stabilization of Large-Scale Stochastic Boolean Networks: A Distributed Control Strategy
Lin L., Cao J., Lu J., Rutkowski L., Set Stabilization of Large-Scale Stochastic Boolean Networks: A Distributed Control Strategy, IEEE/CAA Journal of Automatica Sinica, 11, 11, 806-808, 2024, Liczba cytowań: 4
Secure Data Deduplication With Dynamic Access Control for Mobile Cloud Storage
Qi S., Wei W., Wang J., Sun S., Rutkowski L., Huang T., Kacprzyk J., Qi Y., Secure Data Deduplication With Dynamic Access Control for Mobile Cloud Storage, IEEE Transactions on Mobile Computing, 23, 23, 2566-2582, 2024, Liczba cytowań: 4
Distributed Saturated Impulsive Control for Local Consensus of Nonlinear Time-Delay Multiagent Systems with Switching Topologies
Lv X., Cao J., Rutkowski L., Duan P., Distributed Saturated Impulsive Control for Local Consensus of Nonlinear Time-Delay Multiagent Systems with Switching Topologies, IEEE Transactions on Automatic Control, 69, 69, 771-782, 2024, Liczba cytowań: 4
Event-triggered impulsive quasi-synchronization for BAM neural networks with reliable redundant channel
Zhou Y., Lv W., Tao J., Xu Y., Huang T., Rutkowski L., Event-triggered impulsive quasi-synchronization for BAM neural networks with reliable redundant channel, Neural Networks, 169, 169, 485-495, 2024, Liczba cytowań: 3
Finite-Time Control of Fuzzy Competitive Networks via Comparison Method and Bounded Control
Kong F., Cao J., Rutkowski L., Zhang Y., Finite-Time Control of Fuzzy Competitive Networks via Comparison Method and Bounded Control, IEEE Transactions on Fuzzy Systems, 32, 32, 3059-3070, 2024, Liczba cytowań: 2
A Second-Order Primal-Dual Dynamics for Set Constrained Distributed Optimization Problems
Tao M., Guo L., Cao J., Rutkowski L., A Second-Order Primal-Dual Dynamics for Set Constrained Distributed Optimization Problems, IEEE Transactions on Circuits and Systems II: Express Briefs, 71, 71, 1316-1320, 2024, Liczba cytowań: 2
Event-Triggered Distributed Moving Horizon Estimation Over Wireless Sensor Networks
Huang Z., Lv W., Liu C., Xu Y., Rutkowski L., Huang T., Event-Triggered Distributed Moving Horizon Estimation Over Wireless Sensor Networks, IEEE Transactions on Industrial Informatics, 20, 20, 4218-4226, 2024, Liczba cytowań: 2
Ant colony optimization using two-dimensional pheromone for single-objective transport problems
Starzec G., Starzec M., Rutkowski L., Kisiel-Dorohinicki M., Byrski A., Ant colony optimization using two-dimensional pheromone for single-objective transport problems, Journal of Computational Science, 79, 79, 2024, Liczba cytowań: 1
How to regulate pattern formations for malware propagation in cyber-physical systems
Cheng H., Xiao M., Yu W., Rutkowski L., Cao J., How to regulate pattern formations for malware propagation in cyber-physical systems, Chaos, 34, 34, 2024, Liczba cytowań: 1
Accelerating deep neural network learning using data stream methodology
Duda P., Wojtulewicz M., Rutkowski L., Accelerating deep neural network learning using data stream methodology, Information Sciences, 669, 669, 2024, Liczba cytowań: 1
RANKING OF ALTERNATIVES DESCRIBED BY ATANASSOV'S INTUITIONISTIC FUZZY SETS – RECONCILING SOME MISUNDERSTANDINGS
Szmidt E., Kacprzyk J., Bujnowski P., Starczewski J.T., Siwocha A., RANKING OF ALTERNATIVES DESCRIBED BY ATANASSOV'S INTUITIONISTIC FUZZY SETS – RECONCILING SOME MISUNDERSTANDINGS, Journal of Artificial Intelligence and Soft Computing Research, 14, 14, 237-250, 2024, Liczba cytowań: 1
Observer-Based Sliding Mode Control for Stochastic Sampling Fuzzy Systems With Stochastic Communication Protocol
Wu J., Cheng J., Yan H., Rutkowski L., Cao J., Observer-Based Sliding Mode Control for Stochastic Sampling Fuzzy Systems With Stochastic Communication Protocol, IEEE Transactions on Fuzzy Systems, 2024, Liczba cytowań: 0
Hybrid control of Turing instability and bifurcation for spatial-temporal propagation of computer virus
Ju Y., Xiao M., Huang C., Rutkowski L., Cao J., Hybrid control of Turing instability and bifurcation for spatial-temporal propagation of computer virus, International Journal of Systems Science, 55, 55, 2187-2210, 2024, Liczba cytowań: 0
A New MLEM Reconstruction Algorithm for Ultra-low Dose PET
Cierniak R., A New MLEM Reconstruction Algorithm for Ultra-low Dose PET, Communications in Computer and Information Science, 2166 CCIS, 2166 CCIS, 406-418, 2024, Liczba cytowań: 0
Probabilistic neural networks for incremental learning over time-varying streaming data with application to air pollution monitoring
Rutkowska D., Duda P., Cao J., Jaworski M., Kisiel-Dorohinicki M., Tao D., Rutkowski L., Probabilistic neural networks for incremental learning over time-varying streaming data with application to air pollution monitoring, Applied Soft Computing, 161, 161, 2024, Liczba cytowań: 0
EVALUATING NEURAL NETWORK MODELS FOR PREDICTING DYNAMIC SIGNATURE SIGNALS
Zalasinski M., Cader A., Patora-Wysocka Z., Xiao M., EVALUATING NEURAL NETWORK MODELS FOR PREDICTING DYNAMIC SIGNATURE SIGNALS, Journal of Artificial Intelligence and Soft Computing Research, 14, 14, 361-372, 2024, Liczba cytowań: 0
(μ +λ) Evolution Strategy with Socio-Cognitive Mutation
Urbanczyk A., Kucaba K., Wojtulewicz M., Kisiel-Dorohinicki M., Rutkowski L., Duda P., Kacprzyk J., Yao X., Chong S.Y., Byrski A., (μ +λ) Evolution Strategy with Socio-Cognitive Mutation, Journal of Automation, Mobile Robotics and Intelligent Systems, 18, 18, 1-11, 2024, Liczba cytowań: 0
Facilitating and Determining Turing Patterns in 3-D Memristor Cellular Neural Networks
He J., Xiao M., He H., Wang Z., Xing Zheng W., Rutkowski L., Facilitating and Determining Turing Patterns in 3-D Memristor Cellular Neural Networks, IEEE Transactions on Circuits and Systems I: Regular Papers, 71, 71, 4131-4144, 2024, Liczba cytowań: 0
Mechanism analysis of regulating Turing instability and Hopf bifurcation of malware propagation in mobile wireless sensor networks
Huang X.-X., Xiao M., Rutkowski L., Bao H.-B., Huang X., Cao J.-D., Mechanism analysis of regulating Turing instability and Hopf bifurcation of malware propagation in mobile wireless sensor networks, Chinese Physics B, 33, 33, 2024, Liczba cytowań: 0
Task offloading strategies for mobile edge computing: A survey
Dong S., Tang J., Abbas K., Hou R., Kamruzzaman J., Rutkowski L., Buyya R., Task offloading strategies for mobile edge computing: A survey, Computer Networks, 254, 254, 2024, Liczba cytowań: 0
Full-Dimensional Proportional-Derivative Control Technique for Turing Pattern and Bifurcation of Delayed Reaction-Diffusion Bidirectional Ring Neural Networks
Du X., Xiao M., Luan Y., Ding J., Rutkowski L., Full-Dimensional Proportional-Derivative Control Technique for Turing Pattern and Bifurcation of Delayed Reaction-Diffusion Bidirectional Ring Neural Networks, Journal of Computational and Nonlinear Dynamics, 19, 19, 2024, Liczba cytowań: 0
Approaching the Global Nash Equilibrium of Non-convex Multi-player Games
Chen G., Xu G., He F., Hong Y., Rutkowski L., Tao D., Approaching the Global Nash Equilibrium of Non-convex Multi-player Games, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024, Liczba cytowań: 0
Professionally Diverse: AI-Generated Faces for Targeted Advertising
Osowski M., Krasnodebska A., Drozda P., Scherer R., Professionally Diverse: AI-Generated Faces for Targeted Advertising, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 14795 LNAI, 14795 LNAI, 171-183, 2024, Liczba cytowań: 0
ACCELERATING USER PROFILING IN E-COMMERCE USING CONDITIONAL GAN NETWORKS FOR SYNTHETIC DATA GENERATION
Gabryel M., Kocic E., Kocic M., Patora-Wysocka Z., Xiao M., Pawlak M., ACCELERATING USER PROFILING IN E-COMMERCE USING CONDITIONAL GAN NETWORKS FOR SYNTHETIC DATA GENERATION, Journal of Artificial Intelligence and Soft Computing Research, 14, 14, 309-319, 2024, Liczba cytowań: 0
Toward Real-Time Solar Content-Based Image Retrieval
Grycuk R., De Magistris G., Napoli C., Scherer R., Toward Real-Time Solar Content-Based Image Retrieval, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 14832 LNCS, 14832 LNCS, 107-120, 2024, Liczba cytowań: 0
An efficient approach to parameter extraction of photovoltaic cell models using a new population-based algorithm
Slowik A., Cpalka K., Xue Y., Hapka A., An efficient approach to parameter extraction of photovoltaic cell models using a new population-based algorithm, Applied Energy, 364, 364, 2024, Liczba cytowań: 0
Computer-Integrated Monitoring Technology with Support-Decision of Unauthorized Disturbance of Methane Sensor Functioning for Coal Mines
Vovna O., Kaydash H., Rutkowski L., Sakhno I., Laktionov I., Kabanets M., Zozulya S., Computer-Integrated Monitoring Technology with Support-Decision of Unauthorized Disturbance of Methane Sensor Functioning for Coal Mines, Journal of Control Science and Engineering, 2024, 2024, 2024, Liczba cytowań: 0
A multi-model approach to the development of algorithmic trading systems for the Forex market
Sevastjanov P., Kaczmarek K., Rutkowski L., A multi-model approach to the development of algorithmic trading systems for the Forex market, Expert Systems with Applications, 236, 236, 2024, Liczba cytowań: 0
Stability and boundedness criteria for certain second-order nonlinear neutral stochastic functional differential equations
Ademola A.T., Wen S., Feng Y., Zhang W., Rutkowski L., Stability and boundedness criteria for certain second-order nonlinear neutral stochastic functional differential equations, Proyecciones, 43, 43, 985-1009, 2024, Liczba cytowań: 0
Compact Representation of Digital Camera’s Fingerprint with Convolutional Autoencoder
Bernacki J., Scherer R., Compact Representation of Digital Camera’s Fingerprint with Convolutional Autoencoder, Proceedings of the International Conference on Security and Cryptography, 792-797, 2024, Liczba cytowań: 0
Complex pattern evolution of a two-dimensional space diffusion model of malware spread
Cheng H., Xiao M., Lu Y., Bao H., Rutkowski L., Cao J., Complex pattern evolution of a two-dimensional space diffusion model of malware spread, Physica Scripta, 99, 99, 2024, Liczba cytowań: 0
Increasing the explainability and trustiness of Wang–Mendel fuzzy system for classification problems
Lapa K., Increasing the explainability and trustiness of Wang–Mendel fuzzy system for classification problems, Applied Soft Computing, 167, 167, 2024, Liczba cytowań: 0
Space-Time Sampled-Data Control for Memristor-Based Reaction-Diffusion Neural Networks With Nonhomogeneous Sojourn Probabilities
Cheng J., Liu N., Rutkowski L., Cao J., Yan H., Hua L., Space-Time Sampled-Data Control for Memristor-Based Reaction-Diffusion Neural Networks With Nonhomogeneous Sojourn Probabilities, IEEE Transactions on Circuits and Systems I: Regular Papers, 2024, Liczba cytowań: 0
Ensemble Diversity Pruning on Cybersecurity: Optimizing Intrusion Detection Systems
Lucas T.J., Passos L.A., Rodrigues D., Jodas D., Papa J.P., Da Costa K.A.P., Scherer R., Ensemble Diversity Pruning on Cybersecurity: Optimizing Intrusion Detection Systems, International Conference on Systems, Signals, and Image Processing, 2024, Liczba cytowań: 0
A new chemical networked system: spatial-temporal evolution and control
Li H., Xiao M., Wang Z., Xu F., Wang Z., Zheng W., Rutkowski L., A new chemical networked system: spatial-temporal evolution and control, Physica Scripta, 99, 99, 2024, Liczba cytowań: 0
A new Hybrid Parameter Independent Particle Swarm Optimization Algorithm
Dziwinski P., A new Hybrid Parameter Independent Particle Swarm Optimization Algorithm, GECCO 2024 Companion - Proceedings of the 2024 Genetic and Evolutionary Computation Conference Companion, 739-742, 2024, Liczba cytowań: 0

2023 (73)

Fuzzy H<inf>∞</inf> Control of Discrete-Time Nonlinear Markov Jump Systems via a Novel Hybrid Reinforcement Q-Learning Method
Wang J., Wu J., Shen H., Cao J., Rutkowski L., Fuzzy H<inf>∞</inf> Control of Discrete-Time Nonlinear Markov Jump Systems via a Novel Hybrid Reinforcement Q-Learning Method, IEEE Transactions on Cybernetics, 53, 53, 7380-7391, 2023, Liczba cytowań: 36
Fast Computational Approach to the Levenberg-Marquardt Algorithm for Training Feedforward Neural Networks
Bilski J., Smolag J., Kowalczyk B., Grzanek K., Izonin I., Fast Computational Approach to the Levenberg-Marquardt Algorithm for Training Feedforward Neural Networks, Journal of Artificial Intelligence and Soft Computing Research, 13, 13, 45-61, 2023, Liczba cytowań: 23
Asynchronous Fault Detection for Memristive Neural Networks With Dwell-Time-Based Communication Protocol
Lin A., Cheng J., Rutkowski L., Wen S., Luo M., Cao J., Asynchronous Fault Detection for Memristive Neural Networks With Dwell-Time-Based Communication Protocol, IEEE Transactions on Neural Networks and Learning Systems, 34, 34, 9004-9015, 2023, Liczba cytowań: 20
A Novel ConvMixer Transformer Based Architecture for Violent Behavior Detection
Alfarano A., De Magistris G., Mongelli L., Russo S., Starczewski J., Napoli C., A Novel ConvMixer Transformer Based Architecture for Violent Behavior Detection, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 14126 LNAI, 14126 LNAI, 3-16, 2023, Liczba cytowań: 17
Observer-Based Control for Discrete-Time Hidden Semi-Markov Jump Systems
Shen H., Zhang Y., Wang J., Cao J., Rutkowski L., Observer-Based Control for Discrete-Time Hidden Semi-Markov Jump Systems, IEEE Transactions on Automatic Control, 68, 68, 6255-6261, 2023, Liczba cytowań: 15
Observability and Detectability of Stochastic Labeled Graphs
Zhu S., Cao J., Lin L., Rutkowski L., Lu J., Lu G., Observability and Detectability of Stochastic Labeled Graphs, IEEE Transactions on Automatic Control, 68, 68, 7299-7311, 2023, Liczba cytowań: 13
A Decentralized Learning Control Scheme for Constrained Nonlinear Interconnected Systems Based on Dynamic Event-Triggered Mechanism
Wang J., Wu J., Shen H., Cao J., Rutkowski L., A Decentralized Learning Control Scheme for Constrained Nonlinear Interconnected Systems Based on Dynamic Event-Triggered Mechanism, IEEE Transactions on Systems, Man, and Cybernetics: Systems, 53, 53, 4934-4943, 2023, Liczba cytowań: 12
Deep Learning for Human Activity Recognition on 3D Human Skeleton: Survey and Comparative Study
Nguyen H.-C., Nguyen T.-H., Scherer R., Le V.-H., Deep Learning for Human Activity Recognition on 3D Human Skeleton: Survey and Comparative Study, Sensors, 23, 23, 2023, Liczba cytowań: 11
Stabilization of Markovian Jump Boolean Control Networks via Event-Triggered Control
Chen B., Cao J., Lu G., Rutkowski L., Stabilization of Markovian Jump Boolean Control Networks via Event-Triggered Control, IEEE Transactions on Automatic Control, 68, 68, 1215-1222, 2023, Liczba cytowań: 10
YOLO Series for Human Hand Action Detection and Classification from Egocentric Videos
Nguyen H.-C., Nguyen T.-H., Scherer R., Le V.-H., YOLO Series for Human Hand Action Detection and Classification from Egocentric Videos, Sensors (Basel, Switzerland), 23, 23, 2023, Liczba cytowań: 8
A novel approach to intelligent monitoring of gas composition and light mode of greenhouse crop growing zone on the basis of fuzzy modelling and human-in-the-loop techniques
Laktionov I., Rutkowski L., Vovna O., Byrski A., Kabanets M., A novel approach to intelligent monitoring of gas composition and light mode of greenhouse crop growing zone on the basis of fuzzy modelling and human-in-the-loop techniques, Engineering Applications of Artificial Intelligence, 126, 126, 2023, Liczba cytowań: 6
Variable-order fractional derivative rutting depth prediction of asphalt pavement based on the RIOHTrack full-scale track
Wang Y., Yan J., Huang W., Rutkowski L., Cao J., Variable-order fractional derivative rutting depth prediction of asphalt pavement based on the RIOHTrack full-scale track, Science China Information Sciences, 66, 66, 2023, Liczba cytowań: 6
AN INTELLIGENT APPROACH TO SHORT-TERM WIND POWER PREDICTION USING DEEP NEURAL NETWORKS
Niksa-Rynkiewicz T., Stomma P., Witkowska A., Rutkowska D., Slowik A., Cpalka K., Jaworek-Korjakowska J., Kolendo P., AN INTELLIGENT APPROACH TO SHORT-TERM WIND POWER PREDICTION USING DEEP NEURAL NETWORKS, Journal of Artificial Intelligence and Soft Computing Research, 13, 13, 197-210, 2023, Liczba cytowań: 6
LSTM-SN: complex text classifying with LSTM fusion social network
Wei W., Li X., Zhang B., Li L., Damasevicius R., Scherer R., LSTM-SN: complex text classifying with LSTM fusion social network, Journal of Supercomputing, 79, 79, 9558-9583, 2023, Liczba cytowań: 6
The L<inf>2</inf> convergence of stream data mining algorithms based on probabilistic neural networks
Rutkowska D., Duda P., Cao J., Rutkowski L., Byrski A., Jaworski M., Tao D., The L<inf>2</inf> convergence of stream data mining algorithms based on probabilistic neural networks, Information Sciences, 631, 631, 346-368, 2023, Liczba cytowań: 6
Improving the Efficiency of the EMS-Based Smart City: A Novel Distributed Framework for Spatial Data
Chen G., Zou W., Jing W., Wei W., Scherer R., Improving the Efficiency of the EMS-Based Smart City: A Novel Distributed Framework for Spatial Data, IEEE Transactions on Industrial Informatics, 19, 19, 594-604, 2023, Liczba cytowań: 5
Toward domain adaptation with open-set target data: Review of theory and computer vision applications
Ghaffari R., Helfroush M.S., Khosravi A., Kazemi K., Danyali H., Rutkowski L., Toward domain adaptation with open-set target data: Review of theory and computer vision applications, Information Fusion, 100, 100, 2023, Liczba cytowań: 5
A New Approach to Image-Based Recommender Systems with the Application of Heatmaps Maps
Woldan P., Duda P., Cader A., Laktionov I., A New Approach to Image-Based Recommender Systems with the Application of Heatmaps Maps, Journal of Artificial Intelligence and Soft Computing Research, 13, 13, 63-72, 2023, Liczba cytowań: 5
A non-linear SVR-based cascade model for improving prediction accuracy of biomedical data analysis
Izonin I., Tkachenko R., Gurbych O., Kovac M., Rutkowski L., Holoven R., A non-linear SVR-based cascade model for improving prediction accuracy of biomedical data analysis, Mathematical Biosciences and Engineering, 20, 20, 13398-13414, 2023, Liczba cytowań: 4
Fuzzy H<inf>∞</inf> Control of Semi-Markov Jump Singularly Perturbed Nonlinear Systems With Partial Information and Actuator Saturation
Wang J., Chen Z., Shen H., Cao J., Rutkowski L., Fuzzy H<inf>∞</inf> Control of Semi-Markov Jump Singularly Perturbed Nonlinear Systems With Partial Information and Actuator Saturation, IEEE Transactions on Fuzzy Systems, 31, 31, 4374-4384, 2023, Liczba cytowań: 4
Collaborative neurodynamic optimization for solving nonlinear equations
Guan H., Liu Y., Kou K.I., Cao J., Rutkowski L., Collaborative neurodynamic optimization for solving nonlinear equations, Neural Networks, 165, 165, 483-490, 2023, Liczba cytowań: 3
A New Approach to Statistical Iterative Reconstruction Algorithm for a CT Scanner with Flying Focal Spot Using a Rebinning Method
Pluta P., A New Approach to Statistical Iterative Reconstruction Algorithm for a CT Scanner with Flying Focal Spot Using a Rebinning Method, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 13589 LNAI, 13589 LNAI, 286-299, 2023, Liczba cytowań: 2
A Comprehensive Survey on Ensemble Learning-Based Intrusion Detection Approaches in Computer Networks
Lucas T.J., De Figueiredo I.S., Tojeiro C.A.C., De Almeida A.M.G., Scherer R., Brega J.R.F., Papa J.P., Da Costa K.A.P., A Comprehensive Survey on Ensemble Learning-Based Intrusion Detection Approaches in Computer Networks, IEEE Access, 11, 11, 122638-122676, 2023, Liczba cytowań: 2
IMAGINE Dataset: Digital Camera Identification Image BenchmarkinDataset
Bernacki J., Scherer R., IMAGINE Dataset: Digital Camera Identification Image BenchmarkinDataset, Proceedings of the International Conference on Security and Cryptography, 1, 1, 799-804, 2023, Liczba cytowań: 2
Discovery of New Words in Tax-related Fields Based on Word Vector Representation
Wei W., Liu W., Zhang B., Scherer R., Damasevicius R., Discovery of New Words in Tax-related Fields Based on Word Vector Representation, Journal of Internet Technology, 24, 24, 923-930, 2023, Liczba cytowań: 1
Two-Dimensional Pheromone in Ant Colony Optimization
Starzec G., Starzec M., Bandyopadhyay S., Maulik U., Rutkowski L., Kisiel-Dorohinicki M., Byrski A., Two-Dimensional Pheromone in Ant Colony Optimization, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 14162 LNAI, 14162 LNAI, 459-471, 2023, Liczba cytowań: 1
Dynamic Signature Verification Using Selected Regions
Zalasinski M., Duda P., Lota S., Cpalka K., Dynamic Signature Verification Using Selected Regions, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 13589 LNAI, 13589 LNAI, 388-397, 2023, Liczba cytowań: 1
Cryptographic Algorithms with Data Shorter than the Encryption Key, Based on LZW and Huffman Coding
Krokosz T., Rykowski J., Zajecka M., Brzoza-Woch R., Rutkowski L., Cryptographic Algorithms with Data Shorter than the Encryption Key, Based on LZW and Huffman Coding, Sensors, 23, 23, 2023, Liczba cytowań: 1
FPGA-Based Optimization of Industrial Numerical Machine Tool Servo Drives
Przybyl A., FPGA-Based Optimization of Industrial Numerical Machine Tool Servo Drives, Electronics (Switzerland), 12, 12, 2023, Liczba cytowań: 1
Leader-following consensus of finite-field networks with time-delays
Zhu W., Cao J., Shi X., Rutkowski L., Leader-following consensus of finite-field networks with time-delays, Information Sciences, 647, 647, 2023, Liczba cytowań: 1
Autoencoder Neural Network for Detecting Non-human Web Traffic
Gabryel M., Lada D., Kocic M., Autoencoder Neural Network for Detecting Non-human Web Traffic, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 13589 LNAI, 13589 LNAI, 232-242, 2023, Liczba cytowań: 1
Multi-population-based Algorithms with Different Migration Topologies and Their Improvement by Population Re-initialization
Lapa K., Multi-population-based Algorithms with Different Migration Topologies and Their Improvement by Population Re-initialization, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 14125 LNAI, 14125 LNAI, 399-414, 2023, Liczba cytowań: 1
Guest Editorial Introduction to the Special Issue on Graph-Based Machine Learning for Intelligent Transportation Systems
Wei W., Chen K.-C., Rayes A., Scherer R., Guest Editorial Introduction to the Special Issue on Graph-Based Machine Learning for Intelligent Transportation Systems, IEEE Transactions on Intelligent Transportation Systems, 24, 24, 8393-8398, 2023, Liczba cytowań: 1
Special issue on deep interpretation of deep learning: prediction, representation, modeling and utilization
Zhang N., Wang J., Rutkowski L., Special issue on deep interpretation of deep learning: prediction, representation, modeling and utilization, Neural Computing and Applications, 35, 35, 9947-9949, 2023, Liczba cytowań: 1
A New Hybrid Particle Swarm Optimization and Evolutionary Algorithm with Self-Adaptation Mechanism
Dziwinski P., Bartczuk L., A New Hybrid Particle Swarm Optimization and Evolutionary Algorithm with Self-Adaptation Mechanism, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 14125 LNAI, 14125 LNAI, 363-374, 2023, Liczba cytowań: 1
A Novel Approach to the GQR Algorithm for Neural Networks Training
Bilski J., Kowalczyk B., A Novel Approach to the GQR Algorithm for Neural Networks Training, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 14125 LNAI, 14125 LNAI, 3-11, 2023, Liczba cytowań: 0
A NEW APPROACH TO DETECTING AND PREVENTING POPULATIONS STAGNATION THROUGH DYNAMIC CHANGES IN MULTI-POPULATION-BASED ALGORITHMS
Lapa K., Rutkowska D., Byrski A., Napoli C., A NEW APPROACH TO DETECTING AND PREVENTING POPULATIONS STAGNATION THROUGH DYNAMIC CHANGES IN MULTI-POPULATION-BASED ALGORITHMS, Journal of Artificial Intelligence and Soft Computing Research, 13, 13, 289-306, 2023, Liczba cytowań: 0
Distributed online bandit tracking for Nash equilibrium under partial-decision information setting
Feng Z.C., Xu W.Y., Cao J.D., Yang S.F., Rutkowski L., Distributed online bandit tracking for Nash equilibrium under partial-decision information setting, Science China Technological Sciences, 66, 66, 3129-3138, 2023, Liczba cytowań: 0
A New Rebinning Reconstruction Method for the Low Dose CT Scanners with Flying Focal Spot
Pluta P., Cierniak R., A New Rebinning Reconstruction Method for the Low Dose CT Scanners with Flying Focal Spot, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 14126 LNAI, 14126 LNAI, 269-278, 2023, Liczba cytowań: 0
Preface
Rutkowski L., Preface, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 14125 LNAI, 14125 LNAI, v-vi, 2023, Liczba cytowań: 0
A New Linguistic Fuzzy PRISM Algorithm
Bartczuk L., A New Linguistic Fuzzy PRISM Algorithm, IEEE International Conference on Fuzzy Systems, 2023, Liczba cytowań: 0
Ultrasmall fully-convolution GVA-net for point cloud processing[Formula presented]
Walczak J., Najgebauer P., Wojciechowski A., Scherer R., Ultrasmall fully-convolution GVA-net for point cloud processing[Formula presented], Applied Soft Computing, 132, 132, 2023, Liczba cytowań: 0
Evolutionary Algorithms and Their Applications in Intelligent Systems
Slowik A., Cpalka K., Hassanien A.E., Evolutionary Algorithms and Their Applications in Intelligent Systems, Lecture Notes on Data Engineering and Communications Technologies, 184, 184, 143-153, 2023, Liczba cytowań: 0
Fast Estimation of Multidimensional Regression Functions by the Parzen Kernel-Based Method
Galkowski T., Krzyzak A., Fast Estimation of Multidimensional Regression Functions by the Parzen Kernel-Based Method, Communications in Computer and Information Science, 1791 CCIS, 1791 CCIS, 251-262, 2023, Liczba cytowań: 0
Transformer-Based Original Content Recovery from Obfuscated PowerShell Scripts
Dedek M., Scherer R., Transformer-Based Original Content Recovery from Obfuscated PowerShell Scripts, Communications in Computer and Information Science, 1794 CCIS, 1794 CCIS, 284-295, 2023, Liczba cytowań: 0
Hand Gesture Recognition for Medical Purposes Using CNN
Sosnowski J., Pluta P., Najgebauer P., Hand Gesture Recognition for Medical Purposes Using CNN, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 13589 LNAI, 13589 LNAI, 80-88, 2023, Liczba cytowań: 0
Remarks on Speeding up the Digital Camera Identification using Convolutional Neural Networks
Bernacki J., Scherer R., Remarks on Speeding up the Digital Camera Identification using Convolutional Neural Networks, Vietnam Journal of Computer Science, 10, 10, 537-555, 2023, Liczba cytowań: 0
Sun Magnetograms Retrieval from Vast Collections Through Small Hash Codes
Grycuk R., Scherer R., Sun Magnetograms Retrieval from Vast Collections Through Small Hash Codes, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 14076 LNCS, 14076 LNCS, 259-273, 2023, Liczba cytowań: 0
A New Statistical Approach to Image Reconstruction with Rebinning for the X-Ray CT Scanners with Flying Focal Spot Tube
Pluta P., Cierniak R., A New Statistical Approach to Image Reconstruction with Rebinning for the X-Ray CT Scanners with Flying Focal Spot Tube, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 14074 LNCS, 14074 LNCS, 670-677, 2023, Liczba cytowań: 0
Multi-population Algorithm Using Surrogate Models and Different Training Plans
Kucharski D., Cpalka K., Multi-population Algorithm Using Surrogate Models and Different Training Plans, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 14125 LNAI, 14125 LNAI, 385-398, 2023, Liczba cytowań: 0
Edge Detection-Based Full-Disc Solar Image Hashing
Grycuk R., Najgebauer P., Scherer R., Edge Detection-Based Full-Disc Solar Image Hashing, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 13589 LNAI, 13589 LNAI, 243-251, 2023, Liczba cytowań: 0
Preface
Rutkowski L., Preface, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 14126 LNAI, 14126 LNAI, v-vi, 2023, Liczba cytowań: 0
Previous Opinions is All You Need—Legal Information Retrieval System
Osowski M., Lorenc K., Drozda P., Scherer R., Szalapak K., Komar-Komarowski K., Szymanski J., Sobecki A., Previous Opinions is All You Need—Legal Information Retrieval System, Communications in Computer and Information Science, 1864 CCIS, 1864 CCIS, 57-67, 2023, Liczba cytowań: 0
Preface
Rutkowski L., Preface, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 13589 LNAI, 13589 LNAI, v-vi, 2023, Liczba cytowań: 0
A currency trading system based on simplified models using fuzzy multi-criteria hierarchical optimization
Sevastjanov P., Kaczmarek K., Rutkowski L., A currency trading system based on simplified models using fuzzy multi-criteria hierarchical optimization, Applied Soft Computing, 147, 147, 2023, Liczba cytowań: 0
The Analysis of Optimizers in Training Artificial Neural Networks Using the Streaming Approach
Duda P., Wojtulewicz M., Rutkowski L., The Analysis of Optimizers in Training Artificial Neural Networks Using the Streaming Approach, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 14125 LNAI, 14125 LNAI, 46-55, 2023, Liczba cytowań: 0
Preface
Rutkowski L., Preface, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 13588 LNAI, 13588 LNAI, v-vi, 2023, Liczba cytowań: 0
Fuzzy-Based Solar Magnetogram Image Retrieval
Grycuk R., Korytkowski M., Scherer R., Fuzzy-Based Solar Magnetogram Image Retrieval, IEEE International Conference on Fuzzy Systems, 2023, Liczba cytowań: 0
Forecasting of solar energy production using the NEXO platform and VRM Portal
Dudzik S., Kowalczyk B., Forecasting of solar energy production using the NEXO platform and VRM Portal, Przeglad Elektrotechniczny, 2023, 2023, 224-227, 2023, Liczba cytowań: 0
Privacy Preserving by Removing Sensitive Data from Documents with Fully Convolutional Networks
Korytkowski M., Nowak J., Scherer R., Wei W., Privacy Preserving by Removing Sensitive Data from Documents with Fully Convolutional Networks, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 13589 LNAI, 13589 LNAI, 277-285, 2023, Liczba cytowań: 0
InDecGAN: Learning to Generate Complex Images from Captions via Independent Object-Level Decomposition and Enhancement
Cheng J., Wu F., Liu L., Zhang Q., Rutkowski L., Tao D., InDecGAN: Learning to Generate Complex Images from Captions via Independent Object-Level Decomposition and Enhancement, IEEE Transactions on Multimedia, 25, 25, 8279-8293, 2023, Liczba cytowań: 0
Socio-cognitive caste-based optimization
Urbanczyk A., Kipinski P., Nabywaniec M., Rutkowski L., Chong S.Y., Yao X., Boryczko K., Byrski A., Socio-cognitive caste-based optimization, Journal of Computational Science, 72, 72, 2023, Liczba cytowań: 0
Editorial: Big data and artificial intelligence technologies for smart forestry
Jing W., Kuang Z., Scherer R., Wozniak M., Editorial: Big data and artificial intelligence technologies for smart forestry, Frontiers in Plant Science, 14, 14, 2023, Liczba cytowań: 0
Employee Turnover Prediction From Email Communication Analysis
Korytkowski M., Nowak J., Scherer R., Zbieg A., Zak B., Relikowska G., Mader P., Employee Turnover Prediction From Email Communication Analysis, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 13589 LNAI, 13589 LNAI, 252-263, 2023, Liczba cytowań: 0
Detecting Sensitive Data with GANs and Fully Convolutional Networks
Korytkowski M., Nowak J., Scherer R., Detecting Sensitive Data with GANs and Fully Convolutional Networks, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 13995 LNAI, 13995 LNAI, 273-283, 2023, Liczba cytowań: 0
Fast Visual Imperfection Detection when Real Negative Examples are Unavailable
Najgebauer P., Scherer R., Grycuk R., Walczak J., Wojciechowski A., Lada-Tondyra E., Fast Visual Imperfection Detection when Real Negative Examples are Unavailable, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 14126 LNAI, 14126 LNAI, 58-68, 2023, Liczba cytowań: 0
Convergence of RBF Networks Regression Function Estimates and Classifiers
Krzyzak A., Galkowski T., Partyka M., Convergence of RBF Networks Regression Function Estimates and Classifiers, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 13588 LNAI, 13588 LNAI, 363-376, 2023, Liczba cytowań: 0
Visual Odometry with Depth-Wise Separable Convolution and Quaternion Neural Networks
De Magistris G., Comminiello D., Napoli C., Starczewski J.T., Visual Odometry with Depth-Wise Separable Convolution and Quaternion Neural Networks, CEUR Workshop Proceedings, 3417, 3417, 70-80, 2023, Liczba cytowań: 0
On Speeding up the Levenberg-Marquardt Learning Algorithm
Bilski J., Kowalczyk B., Smolag J., On Speeding up the Levenberg-Marquardt Learning Algorithm, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 14125 LNAI, 14125 LNAI, 12-22, 2023, Liczba cytowań: 0
Profiling of Webshop Users in Terms of Price Sensitivity
Kocic E., Gabryel M., Kocic M., Profiling of Webshop Users in Terms of Price Sensitivity, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 14125 LNAI, 14125 LNAI, 522-529, 2023, Liczba cytowań: 0
A New Method of Verification of Dynamic Signatures Changing over Time with Decomposition and Selection of Characteristic Descriptors
Mastalerczyk M., Szczepanik T., Zalasinski M., A New Method of Verification of Dynamic Signatures Changing over Time with Decomposition and Selection of Characteristic Descriptors, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 14126 LNAI, 14126 LNAI, 251-257, 2023, Liczba cytowań: 0
On Computing Paradigms - Where Will Large Language Models Be Going
Wu X., Zhu X., Baralis E., Lu R., Kumar V., Rutkowski L., Tang J., On Computing Paradigms - Where Will Large Language Models Be Going, Proceedings - IEEE International Conference on Data Mining, ICDM, 1577-1582, 2023, Liczba cytowań: 0
A New Computational Approach to the Levenberg-Marquardt Learning Algorithm
Bilski J., Kowalczyk B., Smolag J., A New Computational Approach to the Levenberg-Marquardt Learning Algorithm, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 13588 LNAI, 13588 LNAI, 16-26, 2023, Liczba cytowań: 0

2022 (50)

Synchronization of Neural Networks via Periodic Self-Triggered Impulsive Control and Its Application in Image Encryption
Tan X., Xiang C., Cao J., Xu W., Wen G., Rutkowski L., Synchronization of Neural Networks via Periodic Self-Triggered Impulsive Control and Its Application in Image Encryption, IEEE Transactions on Cybernetics, 52, 52, 8246-8257, 2022, Liczba cytowań: 62
Finite-Time Synchronization of Complex-Valued Memristive-Based Neural Networks via Hybrid Control
Yu T., Cao J., Rutkowski L., Luo Y.-P., Finite-Time Synchronization of Complex-Valued Memristive-Based Neural Networks via Hybrid Control, IEEE Transactions on Neural Networks and Learning Systems, 33, 33, 3938-3947, 2022, Liczba cytowań: 46
A Fixed-Time Distributed Optimization Algorithm Based on Event-Triggered Strategy
Song Y., Cao J., Rutkowski L., A Fixed-Time Distributed Optimization Algorithm Based on Event-Triggered Strategy, IEEE Transactions on Network Science and Engineering, 9, 9, 1154-1162, 2022, Liczba cytowań: 40
An Explainable Fake News Detector Based on Named Entity Recognition and Stance Classification Applied to COVID-19
De Magistris G., Russo S., Roma P., Starczewski J.T., Napoli C., An Explainable Fake News Detector Based on Named Entity Recognition and Stance Classification Applied to COVID-19, Information (Switzerland), 13, 13, 2022, Liczba cytowań: 37
Event-Triggered Finite-Time Guaranteed Cost H-Infinity Consensus for Nonlinear Uncertain Multi-Agent Systems
Luo Y., Zhu W., Cao J., Rutkowski L., Event-Triggered Finite-Time Guaranteed Cost H-Infinity Consensus for Nonlinear Uncertain Multi-Agent Systems, IEEE Transactions on Network Science and Engineering, 9, 9, 1527-1539, 2022, Liczba cytowań: 28
Fuzzy clustering decomposition of genetic algorithm-based instance selection for regression problems
Kordos M., Blachnik M., Scherer R., Fuzzy clustering decomposition of genetic algorithm-based instance selection for regression problems, Information Sciences, 587, 587, 23-40, 2022, Liczba cytowań: 24
Event-Triggered Synchronization of Multiple Discrete-Time Markovian Jump Memristor- Based Neural Networks With Mixed Mode-Dependent Delays
Li H., Fang J.-A., Li X., Rutkowski L., Huang T., Event-Triggered Synchronization of Multiple Discrete-Time Markovian Jump Memristor- Based Neural Networks With Mixed Mode-Dependent Delays, IEEE Transactions on Circuits and Systems I: Regular Papers, 69, 69, 2095-2107, 2022, Liczba cytowań: 20
Robust Composite H<inf>∞</inf>Synchronization of Markov Jump Reaction-Diffusion Neural Networks via a Disturbance Observer-Based Method
Shen H., Wang X., Wang J., Cao J., Rutkowski L., Robust Composite H<inf>∞</inf>Synchronization of Markov Jump Reaction-Diffusion Neural Networks via a Disturbance Observer-Based Method, IEEE Transactions on Cybernetics, 52, 52, 12712-12721, 2022, Liczba cytowań: 19
Hybrid approaches to nature-inspired population-based intelligent optimization for industrial applications
Slowik A., Cpalka K., Hybrid approaches to nature-inspired population-based intelligent optimization for industrial applications, IEEE Transactions on Industrial Informatics, 18, 18, 546-558, 2022, Liczba cytowań: 19
A New Approach to Descriptors Generation for Image Retrieval by Analyzing Activations of Deep Neural Network Layers
Staszewski P., Jaworski M., Cao J., Rutkowski L., A New Approach to Descriptors Generation for Image Retrieval by Analyzing Activations of Deep Neural Network Layers, IEEE Transactions on Neural Networks and Learning Systems, 33, 33, 7913-7920, 2022, Liczba cytowań: 18
Stabilization of Markovian Jump Boolean Control Networks via Sampled-Data Control
Chen B., Cao J., Lu G., Rutkowski L., Stabilization of Markovian Jump Boolean Control Networks via Sampled-Data Control, IEEE Transactions on Cybernetics, 52, 52, 10290-10301, 2022, Liczba cytowań: 16
Unified End-to-End YOLOv5-HR-TCM Framework for Automatic 2D/3D Human Pose Estimation for Real-Time Applications
Nguyen H.-C., Nguyen T.-H., Scherer R., Le V.-H., Unified End-to-End YOLOv5-HR-TCM Framework for Automatic 2D/3D Human Pose Estimation for Real-Time Applications, Sensors, 22, 22, 2022, Liczba cytowań: 15
Event-Triggering Interaction Scheme for Discrete-Time Decentralized Optimization with Nonuniform Step Sizes
Feng Y., Zhang W., Xiong J., Li H., Rutkowski L., Event-Triggering Interaction Scheme for Discrete-Time Decentralized Optimization with Nonuniform Step Sizes, IEEE Transactions on Cybernetics, 52, 52, 748-757, 2022, Liczba cytowań: 15
MSAR-DefogNet: Lightweight cloud removal network for high resolution remote sensing images based on multi scale convolution
Zhou Y., Jing W., Wang J., Chen G., Scherer R., Damasevicius R., MSAR-DefogNet: Lightweight cloud removal network for high resolution remote sensing images based on multi scale convolution, IET Image Processing, 16, 16, 659-668, 2022, Liczba cytowań: 14
General Decay Stability for Nonautonomous Neutral Stochastic Systems with Time-Varying Delays and Markovian Switching
Feng L., Liu L., Cao J., Rutkowski L., Lu G., General Decay Stability for Nonautonomous Neutral Stochastic Systems with Time-Varying Delays and Markovian Switching, IEEE Transactions on Cybernetics, 52, 52, 5441-5453, 2022, Liczba cytowań: 13
Efficient Lightweight Multimodel Deep Fusion Based on ECG for Arrhythmia Classification
Hammad M., Meshoul S., Dziwinski P., Plawiak P., Elgendy I.A., Efficient Lightweight Multimodel Deep Fusion Based on ECG for Arrhythmia Classification, Sensors, 22, 22, 2022, Liczba cytowań: 12
Towards a Very Fast Feedforward Multilayer Neural Networks Training Algorithm
Bilski J., Kowalczyk B., Kisiel-Dorohinicki M., Siwocha A., Zurada J., Towards a Very Fast Feedforward Multilayer Neural Networks Training Algorithm, Journal of Artificial Intelligence and Soft Computing Research, 12, 12, 181-195, 2022, Liczba cytowań: 10
Synchronization of Finite-Field Networks With Time Delays
Zhu W., Cao J., Shi X., Rutkowski L., Synchronization of Finite-Field Networks With Time Delays, IEEE Transactions on Network Science and Engineering, 9, 9, 347-355, 2022, Liczba cytowań: 10
A Novel DWT-based Encoder for Human Pose Estimation
De Magistris G., Romano M., Starczewski J., Napoli C., A Novel DWT-based Encoder for Human Pose Estimation, CEUR Workshop Proceedings, 3360, 3360, 33-40, 2022, Liczba cytowań: 10
Detecting Anomalies in Advertising Web Traffic with the Use of the Variational Autoencoder
Gabryel M., Lada D., Filutowicz Z., Patora-Wysocka Z., Kisiel-Dorohinicki M., Chen G.Y., Detecting Anomalies in Advertising Web Traffic with the Use of the Variational Autoencoder, Journal of Artificial Intelligence and Soft Computing Research, 12, 12, 255-256, 2022, Liczba cytowań: 9
Overview of Capsule Neural Networks
Sun Z., Zhao G., Scherer R., Wei W., Wozniak M., Overview of Capsule Neural Networks, Journal of Internet Technology, 23, 23, 33-44, 2022, Liczba cytowań: 9
Guest Editorial: Hybrid Approaches to Nature-Inspired Population-Based Intelligent Optimization for Industrial Applications
Slowik A., Cpalka K., Guest Editorial: Hybrid Approaches to Nature-Inspired Population-Based Intelligent Optimization for Industrial Applications, IEEE Transactions on Industrial Informatics, 18, 18, 542-545, 2022, Liczba cytowań: 9
Deep Learning Methods in Short-Term Traffic Prediction: A Survey
Hou Y., Zheng X., Han C., Wei W., Scherer R., Polap D., Deep Learning Methods in Short-Term Traffic Prediction: A Survey, Information Technology and Control, 51, 51, 139-157, 2022, Liczba cytowań: 9
Hierarchical interactive demand response power profile tracking optimization and control of multiple EV aggregators
Hu J., Cao J., Rutkowski L., Xue C., Yu J., Hierarchical interactive demand response power profile tracking optimization and control of multiple EV aggregators, Electric Power Systems Research, 208, 208, 2022, Liczba cytowań: 8
Formation Control of Multi-Agent Systems With Constrained Mismatched Compasses
Li Z., Tang Y., Fan Y., Huang T., Rutkowski L., Formation Control of Multi-Agent Systems With Constrained Mismatched Compasses, IEEE Transactions on Network Science and Engineering, 9, 9, 2224-2236, 2022, Liczba cytowań: 7
Evolutionary Algorithm for Selecting Dynamic Signatures Partitioning Approach
Zalasinski M., Laskowski L., Niksa-Rynkiewicz T., Cpalka K., Byrski A., Przybyszewski K., Trippner P., Dong S., Evolutionary Algorithm for Selecting Dynamic Signatures Partitioning Approach, Journal of Artificial Intelligence and Soft Computing Research, 12, 12, 267-279, 2022, Liczba cytowań: 6
A Novel Method for Solar Image Retrieval Based on the Parzen Kernel Estimate of the Function Derivative and Convolutional Autoencoder
Grycuk R., Galkowski T., Scherer R., Rutkowski L., A Novel Method for Solar Image Retrieval Based on the Parzen Kernel Estimate of the Function Derivative and Convolutional Autoencoder, Proceedings of the International Joint Conference on Neural Networks, 2022-July, 2022-July, 2022, Liczba cytowań: 6
Semantic Hashing for Fast Solar Magnetogram Retrieval
Grycuk R., Scherer R., Marchlewska A., Napoli C., Semantic Hashing for Fast Solar Magnetogram Retrieval, Journal of Artificial Intelligence and Soft Computing Research, 12, 12, 299-306, 2022, Liczba cytowań: 5
A population-based algorithm with the selection of evaluation precision and size of the population
Cpalka K., Slowik A., Lapa K., A population-based algorithm with the selection of evaluation precision and size of the population, Applied Soft Computing, 115, 115, 2022, Liczba cytowań: 5
Multi-Population-Based Algorithm with an Exchange of Training Plans Based on Population Evaluation
Lapa K., Cpalka K., Kisiel-Dorohinicki M., Paszkowski J., Debski M., Le V.-H., Multi-Population-Based Algorithm with an Exchange of Training Plans Based on Population Evaluation, Journal of Artificial Intelligence and Soft Computing Research, 12, 12, 239-253, 2022, Liczba cytowań: 4
A Novel Approach to Type-Reduction and Design of Interval Type-2 Fuzzy Logic Systems
Starczewski J.T., Przybyszewski K., Byrski A., Szmidt E., Napoli C., A Novel Approach to Type-Reduction and Design of Interval Type-2 Fuzzy Logic Systems, Journal of Artificial Intelligence and Soft Computing Research, 12, 12, 197-206, 2022, Liczba cytowań: 4
Digital camera identification by fingerprint’s compact representation
Bernacki J., Digital camera identification by fingerprint’s compact representation, Multimedia Tools and Applications, 81, 81, 21641-21674, 2022, Liczba cytowań: 4
Noise Robust Illumination Invariant Face Recognition Via Bivariate Wavelet Shrinkage in Logarithm Domain
Chen G.Y., Krzyzak A., Duda P., Cader A., Noise Robust Illumination Invariant Face Recognition Via Bivariate Wavelet Shrinkage in Logarithm Domain, Journal of Artificial Intelligence and Soft Computing Research, 12, 12, 169-180, 2022, Liczba cytowań: 4
Individual Source Camera Identification with Convolutional Neural Networks
Bernacki J., Costa K.A.P., Scherer R., Individual Source Camera Identification with Convolutional Neural Networks, Communications in Computer and Information Science, 1716 CCIS, 1716 CCIS, 45-55, 2022, Liczba cytowań: 3
An Ensemble Pruning Approach to Optimize Intrusion Detection Systems Performance
Lucas T.J., Da Costa K.A.P., Scherer R., Papa J.P., An Ensemble Pruning Approach to Optimize Intrusion Detection Systems Performance, Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics, 2022-October, 2022-October, 1173-1179, 2022, Liczba cytowań: 2
Special issue on deep learning for time series data
Ma R., Angryk R., Scherer R., Special issue on deep learning for time series data, Neural Computing and Applications, 34, 34, 13147-13148, 2022, Liczba cytowań: 1
Applying autonomous hybrid agent-based computing to difficult optimization problems
Godzik M., Dajda J., Kisiel-Dorohinicki M., Byrski A., Rutkowski L., Orzechowski P., Wagenaar J., Moore J.H., Applying autonomous hybrid agent-based computing to difficult optimization problems, Journal of Computational Science, 64, 64, 2022, Liczba cytowań: 1
Digital forensics: a fast algorithm for a digital sensor identification
Bernacki J., Scherer R., Digital forensics: a fast algorithm for a digital sensor identification, Journal of Information and Telecommunication, 6, 6, 399-419, 2022, Liczba cytowań: 1
Fast Estimation of Multidimensional Regression Functions
Galkowski T., Krzyzak A., Dziwinski P., Fast Estimation of Multidimensional Regression Functions, 2022 17th International Conference on Control, Automation, Robotics and Vision, ICARCV 2022, 211-216, 2022, Liczba cytowań: 1
A Real-time Hand Gesture Recognition System for Human-Computer and Human-Robot Interaction
Ponzi V., Iacobelli E., Napoli C., Starczewski J., A Real-time Hand Gesture Recognition System for Human-Computer and Human-Robot Interaction, CEUR Workshop Proceedings, 3398, 3398, 52-58, 2022, Liczba cytowań: 1
Fast Solar Image Retrieval and Classification by Fuzzy Rules
Grycuk R., Korytkowski M., Scherer R., Drozda P., Wei W., Kordos M., Fast Solar Image Retrieval and Classification by Fuzzy Rules, IEEE International Conference on Fuzzy Systems, 2022-July, 2022-July, 2022, Liczba cytowań: 1
Two Novel Methods for Multiple Kinect v2 Sensor Calibration
Hazra S., Pisipati M., Puhan A., Nandy A., Scherer R., Two Novel Methods for Multiple Kinect v2 Sensor Calibration, Communications in Computer and Information Science, 1568 CCIS, 1568 CCIS, 403-414, 2022, Liczba cytowań: 0
An Original Continuous-to-Continuous Forward Model as a Universal Method for the Formulation of Reconstruction Methods for Medical Imaging Techniques
Cierniak R., Pluta P., An Original Continuous-to-Continuous Forward Model as a Universal Method for the Formulation of Reconstruction Methods for Medical Imaging Techniques, Communications in Computer and Information Science, 1653 CCIS, 1653 CCIS, 396-405, 2022, Liczba cytowań: 0
Local Search in Selected Crossover Operators
Kordos M., Kulka R., Steblik T., Scherer R., Local Search in Selected Crossover Operators, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 13352 LNCS, 13352 LNCS, 369-382, 2022, Liczba cytowań: 0
Editorial: Special Issue on Reliable Machine Learning and Optimization
Zhang N., Wang J., Rutkowski L., Editorial: Special Issue on Reliable Machine Learning and Optimization, International Journal on Artificial Intelligence Tools, 31, 31, 2022, Liczba cytowań: 0
Real-time application of OPF-based classifier in Snort IDS
Utimura L., Costa K., Scherer R., Real-time application of OPF-based classifier in Snort IDS, Optimum-Path Forest: Theory, Algorithms, and Applications, 55-93, 2022, Liczba cytowań: 0
Implementations of statistical reconstruction algorithm for CT scanners with flying focal spot
Cierniak R., Bilski J., Pluta P., Implementations of statistical reconstruction algorithm for CT scanners with flying focal spot, Proceedings of SPIE - The International Society for Optical Engineering, 12304, 12304, 2022, Liczba cytowań: 0
Continuous-to-Continuous Data Model vs. Discrete-to-Discrete Data Model for the Statistical Iterative Reconstruction Method
Cierniak R., Continuous-to-Continuous Data Model vs. Discrete-to-Discrete Data Model for the Statistical Iterative Reconstruction Method, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 13351 LNCS, 13351 LNCS, 493-506, 2022, Liczba cytowań: 0
From Network Package Flow to Images: How to Accurately Detect Anomalies in Computer Networks
Junior P.R.G.H., Scherer R., Januario L.B., Rodrigues D., Papa J.P., Costa K.A.P., From Network Package Flow to Images: How to Accurately Detect Anomalies in Computer Networks, International Conference on Systems, Signals, and Image Processing, 2022-June, 2022-June, 2022, Liczba cytowań: 0
Hypergraph-partitioning-based online joint scheduling of tasks and data
Song Y., Wang L., Xiao L., Wei W., Scherer R., Qin G., Wang J., Hypergraph-partitioning-based online joint scheduling of tasks and data, Journal of Supercomputing, 78, 78, 16088-16117, 2022, Liczba cytowań: 0

2021 (59)

Sliding-Mode Control for Slow-Sampling Singularly Perturbed Systems Subject to Markov Jump Parameters
Wang J., Yang C., Shen H., Cao J., Rutkowski L., Sliding-Mode Control for Slow-Sampling Singularly Perturbed Systems Subject to Markov Jump Parameters, IEEE Transactions on Systems, Man, and Cybernetics: Systems, 51, 51, 7579-7586, 2021, Liczba cytowań: 117
Synchronization of Switched Discrete-Time Neural Networks via Quantized Output Control with Actuator Fault
Yang X., Wan X., Zunshui C., Cao J., Liu Y., Rutkowski L., Synchronization of Switched Discrete-Time Neural Networks via Quantized Output Control with Actuator Fault, IEEE Transactions on Neural Networks and Learning Systems, 32, 32, 4191-4201, 2021, Liczba cytowań: 97
Penalty method for constrained distributed quaternion-variable optimization
Xia Z., Liu Y., Lu J., Cao J., Rutkowski L., Penalty method for constrained distributed quaternion-variable optimization, IEEE Transactions on Cybernetics, 51, 51, 5631-5636, 2021, Liczba cytowań: 47
Distributed Dynamic Self-Triggered Impulsive Control for Consensus Networks: The Case of Impulse Gain with Normal Distribution
Tan X., Cao J., Rutkowski L., Lu G., Distributed Dynamic Self-Triggered Impulsive Control for Consensus Networks: The Case of Impulse Gain with Normal Distribution, IEEE Transactions on Cybernetics, 51, 51, 624-634, 2021, Liczba cytowań: 43
Short-Term Load Forecasting Based on Adabelief Optimized Temporal Convolutional Network and Gated Recurrent Unit Hybrid Neural Network
Shi H., Wang L., Scherer R., Wozniak M., Zhang P., Wei W., Short-Term Load Forecasting Based on Adabelief Optimized Temporal Convolutional Network and Gated Recurrent Unit Hybrid Neural Network, IEEE Access, 9, 9, 66965-66981, 2021, Liczba cytowań: 40
Abnormal Detection of Electricity Consumption of User Based on Particle Swarm Optimization and Long Short Term Memory with the Attention Mechanism
Bian J., Wang L., Scherer R., Wozniak M., Zhang P., Wei W., Abnormal Detection of Electricity Consumption of User Based on Particle Swarm Optimization and Long Short Term Memory with the Attention Mechanism, IEEE Access, 9, 9, 47252-47265, 2021, Liczba cytowań: 30
A novel method for speed training acceleration of recurrent neural networks
Bilski J., Rutkowski L., Smolag J., Tao D., A novel method for speed training acceleration of recurrent neural networks, Information Sciences, 553, 553, 266-279, 2021, Liczba cytowań: 21
Review of road segmentation for sar images
Sun Z., Geng H., Lu Z., Scherer R., Wozniak M., Review of road segmentation for sar images, Remote Sensing, 13, 13, 1-15, 2021, Liczba cytowań: 19
Dynamical and static multisynchronization analysis for coupled multistable memristive neural networks with hybrid control
Lv X., Cao J., Rutkowski L., Dynamical and static multisynchronization analysis for coupled multistable memristive neural networks with hybrid control, Neural Networks, 143, 143, 515-524, 2021, Liczba cytowań: 16
Optimal Control on Finite-Time Consensus of the Leader-Following Stochastic Multiagent System with Heuristic Method
Xu S., Cao J., Liu Q., Rutkowski L., Optimal Control on Finite-Time Consensus of the Leader-Following Stochastic Multiagent System with Heuristic Method, IEEE Transactions on Systems, Man, and Cybernetics: Systems, 51, 51, 3617-3628, 2021, Liczba cytowań: 16
Monitoring regenerative heat exchanger in steam power plant by making use of the recurrent neural network
Niksa-Rynkiewicz T., Szewczuk-Krypa N., Witkowska A., Cpalka K., Zalasinski M., Cader A., Monitoring regenerative heat exchanger in steam power plant by making use of the recurrent neural network, Journal of Artificial Intelligence and Soft Computing Research, 11, 11, 143-155, 2021, Liczba cytowań: 15
A Novel Grid-Based Clustering Algorithm
Starczewski A., Scherer M.M., Ksiek W., Debski M., Wang L., A Novel Grid-Based Clustering Algorithm, Journal of Artificial Intelligence and Soft Computing Research, 11, 11, 319-330, 2021, Liczba cytowań: 15
Sitsen: Passive sitting posture sensing based on wireless devices
Li M., Jiang Z., Liu Y., Chen S., Wozniak M., Scherer R., Damasevicius R., Wei W., Li Z., Li Z., Sitsen: Passive sitting posture sensing based on wireless devices, International Journal of Distributed Sensor Networks, 17, 17, 2021, Liczba cytowań: 14
A Novel Fast Feedforward Neural Networks Training Algorithm
Bilski J., Kowalczyk B., Marjanski A., Gandor M., Zurada J., A Novel Fast Feedforward Neural Networks Training Algorithm, Journal of Artificial Intelligence and Soft Computing Research, 11, 11, 287-306, 2021, Liczba cytowań: 14
Humannet-a two-tiered deep neural network architecture for self-occluding humanoid pose reconstruction
Kulikajevas A., Maskeliunas R., Damasevicius R., Scherer R., Humannet-a two-tiered deep neural network architecture for self-occluding humanoid pose reconstruction, Sensors, 21, 21, 2021, Liczba cytowań: 11
Hardware implementation of a Takagi-Sugeno neuro-fuzzy system optimized by a population algorithm
Dziwinski P., Przybyl A., Trippner P., Paszkowski J., Hayashi Y., Hardware implementation of a Takagi-Sugeno neuro-fuzzy system optimized by a population algorithm, Journal of Artificial Intelligence and Soft Computing Research, 11, 11, 243-266, 2021, Liczba cytowań: 11
Decision Making Support System for Managing Advertisers by Ad Fraud Detection
Gabryel M., Scherer M.M., Sulkowski L., Damasevicius R., Decision Making Support System for Managing Advertisers by Ad Fraud Detection, Journal of Artificial Intelligence and Soft Computing Research, 11, 11, 331-339, 2021, Liczba cytowań: 10
A New Statistical Reconstruction Method for the Computed Tomography Using an X-Ray Tube with Flying Focal Spot
Cierniak R., Pluta P., Waligora M., Szymanski Z., Grzanek K., Palka F., Piuri V., A New Statistical Reconstruction Method for the Computed Tomography Using an X-Ray Tube with Flying Focal Spot, Journal of Artificial Intelligence and Soft Computing Research, 11, 11, 271-286, 2021, Liczba cytowań: 9
Fixed-point arithmetic unit with a scaling mechanism for fpga-based embedded systems
Przybyl A., Fixed-point arithmetic unit with a scaling mechanism for fpga-based embedded systems, Electronics (Switzerland), 10, 10, 2021, Liczba cytowań: 8
A Novel Method for Invariant Image Reconstruction
Pawlak M., Panesar G.S., Korytkowski M., A Novel Method for Invariant Image Reconstruction, Journal of Artificial Intelligence and Soft Computing Research, 11, 11, 69-80, 2021, Liczba cytowań: 7
Traffic flow prediction based on BP neural network
Wang T., Zhang B., Wei W., Damasevicius R., Scherer R., Traffic flow prediction based on BP neural network, 2021 IEEE International Conference on Artificial Intelligence and Industrial Design, AIID 2021, 15-19, 2021, Liczba cytowań: 7
Robustness of digital camera identification with convolutional neural networks
Bernacki J., Robustness of digital camera identification with convolutional neural networks, Multimedia Tools and Applications, 80, 80, 29657-29673, 2021, Liczba cytowań: 7
Improved fisher MAP filter for despeckling of high-resolution SAR images based on structural information detection
Wei W., Sun Z.-G., Zhang Z.-H., Scherer R., Damasevicius R., Improved fisher MAP filter for despeckling of high-resolution SAR images based on structural information detection, Journal of Internet Technology, 22, 22, 413-421, 2021, Liczba cytowań: 6
Design and implementation of autonomous path planning for intelligent vehicle
Wei W., Gao F., Scherer R., Damasevicius R., Polap D., Design and implementation of autonomous path planning for intelligent vehicle, Journal of Internet Technology, 22, 22, 957-965, 2021, Liczba cytowań: 6
On robustness of camera identification algorithms
Bernacki J., On robustness of camera identification algorithms, Multimedia Tools and Applications, 80, 80, 921-942, 2021, Liczba cytowań: 6
A diversified shared latent variable model for efficient image characteristics extraction and modelling
Xiong H., Tang Y.Y., Murtagh F., Rutkowski L., Berkovsky S., A diversified shared latent variable model for efficient image characteristics extraction and modelling, Neurocomputing, 421, 421, 244-259, 2021, Liczba cytowań: 5
Performance Analysis of Rough Set-Based Hybrid Classification Systems in the Case of Missing Values
Nowicki R.K., Seliga R., elasko D., Hayashi Y., Performance Analysis of Rough Set-Based Hybrid Classification Systems in the Case of Missing Values, Journal of Artificial Intelligence and Soft Computing Research, 11, 11, 307-318, 2021, Liczba cytowań: 5
Human segmentation and tracking survey on masks for mads dataset
Le V.-H., Scherer R., Human segmentation and tracking survey on masks for mads dataset, Sensors, 21, 21, 2021, Liczba cytowań: 5
Bankline detection of GF-3 SAR images based on shearlet
Sun Z., Zhao G., Wozniak M., Scherer R., Damasevicius R., Bankline detection of GF-3 SAR images based on shearlet, PeerJ Computer Science, 7, 7, 2021, Liczba cytowań: 5
A new approach to detection of changes in multidimensional patterns
Galkowski T., Krzyzak A., Patora-Wysocka Z., Filutowicz Z., Wang L., A new approach to detection of changes in multidimensional patterns, Journal of Artificial Intelligence and Soft Computing Research, 11, 11, 217-227, 2021, Liczba cytowań: 4
Event-Triggered Control for Output Regulation of Probabilistic Logical Systems with Delays
He J., Liu Y., Lu J., Cao J., Rutkowski L., Event-Triggered Control for Output Regulation of Probabilistic Logical Systems with Delays, IEEE Transactions on Systems, Man, and Cybernetics: Systems, 51, 51, 6842-6851, 2021, Liczba cytowań: 4
Research on Decision Tree Based on Rough Set
Wei W., Hui M., Zhang B., Scherer R., Damasevicius R., Research on Decision Tree Based on Rough Set, Journal of Internet Technology, 22, 22, 1385-1394, 2021, Liczba cytowań: 4
Synthesis of vertically aligned porous silica thin films functionalized by silver ions
Fedorchuk A., Walcarius A., Laskowska M., Vila N., Kowalczyk P., Cpalka K., Laskowski L., Synthesis of vertically aligned porous silica thin films functionalized by silver ions, International Journal of Molecular Sciences, 22, 22, 2021, Liczba cytowań: 4
Grid-Based Concise Hash for Solar Images
Grycuk R., Scherer R., Grid-Based Concise Hash for Solar Images, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 12744 LNCS, 12744 LNCS, 242-254, 2021, Liczba cytowań: 3
Design of a MEMS sensor array for dam subsidence monitoring based on dual-sensor cooperative measurements
Tao T., Yang J., Wei W., Wozniak M., Scherer R., Damasevicius R., Design of a MEMS sensor array for dam subsidence monitoring based on dual-sensor cooperative measurements, KSII Transactions on Internet and Information Systems, 15, 15, 3554-3570, 2021, Liczba cytowań: 3
Modification of Learning Feedforward Neural Networks with the BP Method
Bilski J., Smolag J., Najgebauer P., Modification of Learning Feedforward Neural Networks with the BP Method, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 12854 LNAI, 12854 LNAI, 54-65, 2021, Liczba cytowań: 3
CVA-GNN: Convolutional Vicinity Aggregation Graph Neural Network for Point Cloud Classification
Jakub W., Patryk N., Rafal S., Adam W., CVA-GNN: Convolutional Vicinity Aggregation Graph Neural Network for Point Cloud Classification, Proceedings of the International Joint Conference on Neural Networks, 2021-July, 2021-July, 2021, Liczba cytowań: 3
Handwritten word recognition using fuzzy matching degrees
Wrobel M., Starczewski J.T., Fijalkowska J., Siwocha A., Napoli C., Handwritten word recognition using fuzzy matching degrees, Journal of Artificial Intelligence and Soft Computing Research, 11, 11, 229-242, 2021, Liczba cytowań: 3
Design and implementation of public opinion monitoring system based on cloud platform
Wei W., Wang L., Li X., Zhang B., Scherer R., Design and implementation of public opinion monitoring system based on cloud platform, Journal of Internet Technology, 22, 22, 569-581, 2021, Liczba cytowań: 3
Apple Packaging Redesign in LuochuanBased on the Concept of Sustainable Packaging
Ding X., Wei W., Zhang B., Scherer R., Damasevicius R., Apple Packaging Redesign in LuochuanBased on the Concept of Sustainable Packaging, 2021 IEEE International Conference on Artificial Intelligence and Industrial Design, AIID 2021, 614-627, 2021, Liczba cytowań: 2
Vicinity-Based Abstraction: VA-DGCNN Architecture for Noisy 3D Indoor Object Classification
Walczak J., Wojciechowski A., Najgebauer P., Scherer R., Vicinity-Based Abstraction: VA-DGCNN Architecture for Noisy 3D Indoor Object Classification, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 12744 LNCS, 12744 LNCS, 229-241, 2021, Liczba cytowań: 2
Design and Implementation of Regional Food Distribution Platform Based on Big Data
Wei W., Liang H., Zhang B., Damasevicius R., Scherer R., Design and Implementation of Regional Food Distribution Platform Based on Big Data, 2021 IEEE International Conference on Artificial Intelligence and Industrial Design, AIID 2021, 496-501, 2021, Liczba cytowań: 2
Monitoring of Changes in Data Stream Distribution Using Convolutional Restricted Boltzmann Machines
Jaworski M., Rutkowski L., Staszewski P., Najgebauer P., Monitoring of Changes in Data Stream Distribution Using Convolutional Restricted Boltzmann Machines, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 12854 LNAI, 12854 LNAI, 338-346, 2021, Liczba cytowań: 2
A New Variant of the GQR Algorithm for Feedforward Neural Networks Training
Bilski J., Kowalczyk B., A New Variant of the GQR Algorithm for Feedforward Neural Networks Training, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 12854 LNAI, 12854 LNAI, 41-53, 2021, Liczba cytowań: 1
A low-dimensional layout of magnetic units as nano-systems of combinatorial logic: Numerical simulations
Kuzma D., Kowalczyk P., Cpalka K., Laskowski L., A low-dimensional layout of magnetic units as nano-systems of combinatorial logic: Numerical simulations, Materials, 14, 14, 2021, Liczba cytowań: 1
Population Management Approaches in the OPn Algorithm
Lapa K., Cpalka K., Slowik A., Population Management Approaches in the OPn Algorithm, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 12854 LNAI, 12854 LNAI, 402-414, 2021, Liczba cytowań: 1
Application of a Neural Network to Generate the Hash Code for a Device Fingerprint
Gabryel M., Kocic M., Application of a Neural Network to Generate the Hash Code for a Device Fingerprint, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 12855 LNAI, 12855 LNAI, 456-463, 2021, Liczba cytowań: 1
Solar Image Hashing by Intermediate Descriptor and Autoencoder
Grycuk R., Scherer R., Solar Image Hashing by Intermediate Descriptor and Autoencoder, Proceedings of the International Joint Conference on Neural Networks, 2021-July, 2021-July, 2021, Liczba cytowań: 1
Fingerprint Device Parameter Stability Analysis
Gabryel M., Kocic M., Fingerprint Device Parameter Stability Analysis, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 12855 LNAI, 12855 LNAI, 464-472, 2021, Liczba cytowań: 0
Abrupt Change Detection by the Nonparametric Approach Based on Orthogonal Series Estimates
Galkowski T., Krzyzak A., Abrupt Change Detection by the Nonparametric Approach Based on Orthogonal Series Estimates, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 12854 LNAI, 12854 LNAI, 318-327, 2021, Liczba cytowań: 0
Preface
Rutkowski L., Preface, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 12855 LNAI, 12855 LNAI, v-vi, 2021, Liczba cytowań: 0
A Novel Approach to Determining the Radius of the Neighborhood Required for the DBSCAN Algorithm
Starczewski A., A Novel Approach to Determining the Radius of the Neighborhood Required for the DBSCAN Algorithm, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 12854 LNAI, 12854 LNAI, 358-368, 2021, Liczba cytowań: 0
Fast Imaging Sensor Identification
Bernacki J., Scherer R., Fast Imaging Sensor Identification, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 12876 LNAI, 12876 LNAI, 572-584, 2021, Liczba cytowań: 0
Preface
Rutkowski L., Preface, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 12854 LNAI, 12854 LNAI, v-vi, 2021, Liczba cytowań: 0
A New Interval Type-2 Fuzzy PRISM Algorithm
Bartczuk L., A New Interval Type-2 Fuzzy PRISM Algorithm, IEEE International Conference on Fuzzy Systems, 2021-July, 2021-July, 2021, Liczba cytowań: 0
A New Statistical Iterative Reconstruction Algorithm for a CT Scanner with Flying Focal Spot
Cierniak R., Pluta P., A New Statistical Iterative Reconstruction Algorithm for a CT Scanner with Flying Focal Spot, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 12855 LNAI, 12855 LNAI, 431-441, 2021, Liczba cytowań: 0
Sufficient conditions analysis of coverage algorithm constructed positive definite tridiagonal matrices in WSNs
Wei W., Ke Q., Gao F., Scherer R., Fan S., Sufficient conditions analysis of coverage algorithm constructed positive definite tridiagonal matrices in WSNs, Journal of Internet Technology, 22, 22, 735-741, 2021, Liczba cytowań: 0
Dynamic Signature Vertical Partitioning Using Selected Population-Based Algorithms
Zalasinski M., Niksa-Rynkiewicz T., Cpalka K., Dynamic Signature Vertical Partitioning Using Selected Population-Based Algorithms, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 12855 LNAI, 12855 LNAI, 511-518, 2021, Liczba cytowań: 0
The Streaming Approach to Training Restricted Boltzmann Machines
Duda P., Rutkowski L., Woldan P., Najgebauer P., The Streaming Approach to Training Restricted Boltzmann Machines, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 12854 LNAI, 12854 LNAI, 308-317, 2021, Liczba cytowań: 0

2020 (107)

Multimodal brain tumor classification using deep learning and robust feature selection: A machine learning application for radiologists
Khan M.A., Ashraf I., Alhaisoni M., Damasevicius R., Scherer R., Rehman A., Bukhari S.A.C., Multimodal brain tumor classification using deep learning and robust feature selection: A machine learning application for radiologists, Diagnostics, 10, 10, 2020, Liczba cytowań: 307
Accurate and fast URL phishing detector: A convolutional neural network approach
Wei W., Ke Q., Nowak J., Korytkowski M., Scherer R., Wozniak M., Accurate and fast URL phishing detector: A convolutional neural network approach, Computer Networks, 178, 178, 2020, Liczba cytowań: 141
Synchronization of Coupled Time-Delay Neural Networks with Mode-Dependent Average Dwell Time Switching
Yang X., Liu Y., Cao J., Rutkowski L., Synchronization of Coupled Time-Delay Neural Networks with Mode-Dependent Average Dwell Time Switching, IEEE Transactions on Neural Networks and Learning Systems, 31, 31, 5483-5496, 2020, Liczba cytowań: 111
Constrained Quaternion-Variable Convex Optimization: A Quaternion-Valued Recurrent Neural Network Approach
Liu Y., Zheng Y., Lu J., Cao J., Rutkowski L., Constrained Quaternion-Variable Convex Optimization: A Quaternion-Valued Recurrent Neural Network Approach, IEEE Transactions on Neural Networks and Learning Systems, 31, 31, 1022-1035, 2020, Liczba cytowań: 96
Pearson correlation-based feature selection for document classification using balanced training
Nasir I.M., Khan M.A., Yasmin M., Shah J.H., Gabryel M., Scherer R., Damasevicius R., Pearson correlation-based feature selection for document classification using balanced training, Sensors (Switzerland), 20, 20, 1-18, 2020, Liczba cytowań: 84
A New Hybrid Particle Swarm Optimization and Genetic Algorithm Method Controlled by Fuzzy Logic
Dziwinski P., Bartczuk L., A New Hybrid Particle Swarm Optimization and Genetic Algorithm Method Controlled by Fuzzy Logic, IEEE Transactions on Fuzzy Systems, 28, 28, 1140-1154, 2020, Liczba cytowań: 82
Anti-synchronization in fixed time for discontinuous reaction-diffusion neural networks with time-varying coefficients and time delay
Wang Z., Cao J., Cai Z., Rutkowski L., Anti-synchronization in fixed time for discontinuous reaction-diffusion neural networks with time-varying coefficients and time delay, IEEE Transactions on Cybernetics, 50, 50, 2758-2769, 2020, Liczba cytowań: 74
Distributed Dynamic Self-Triggered Control for Uncertain Complex Networks with Markov Switching Topologies and Random Time-Varying Delay
Tan X., Cao J., Rutkowski L., Distributed Dynamic Self-Triggered Control for Uncertain Complex Networks with Markov Switching Topologies and Random Time-Varying Delay, IEEE Transactions on Network Science and Engineering, 7, 7, 1111-1120, 2020, Liczba cytowań: 71
Local Levenberg-Marquardt Algorithm for Learning Feedforwad Neural Networks
Bilski J., Kowalczyk B., Marchlewska A., Zurada J.M., Local Levenberg-Marquardt Algorithm for Learning Feedforwad Neural Networks, Journal of Artificial Intelligence and Soft Computing Research, 10, 10, 299-316, 2020, Liczba cytowań: 71
A New Method for Automatic Determining of the DBSCAN Parameters
Starczewski A., Goetzen P., Er M.J., A New Method for Automatic Determining of the DBSCAN Parameters, Journal of Artificial Intelligence and Soft Computing Research, 10, 10, 209-221, 2020, Liczba cytowań: 47
Robust Event-Triggered Control Invariance of Probabilistic Boolean Control Networks
Lin L., Cao J., Rutkowski L., Robust Event-Triggered Control Invariance of Probabilistic Boolean Control Networks, IEEE Transactions on Neural Networks and Learning Systems, 31, 31, 1060-1065, 2020, Liczba cytowań: 44
Modified Harris Hawks optimizer for solving machine scheduling problems
Jouhari H., Lei D., Al-qaness M.A.A., Abd Elaziz M., Damasevicius R., Korytkowski M., Ewees A.A., Modified Harris Hawks optimizer for solving machine scheduling problems, Symmetry, 12, 12, 2020, Liczba cytowań: 35
Sampled-Data Set Stabilization of Impulsive Boolean Networks Based on a Hybrid Index Model
Lin L., Cao J., Zhu S., Rutkowski L., Lu G., Sampled-Data Set Stabilization of Impulsive Boolean Networks Based on a Hybrid Index Model, IEEE Transactions on Control of Network Systems, 7, 7, 1859-1869, 2020, Liczba cytowań: 35
Asymptotic Output Tracking of Probabilistic Boolean Control Networks
Chen B., Cao J., Luo Y., Rutkowski L., Asymptotic Output Tracking of Probabilistic Boolean Control Networks, IEEE Transactions on Circuits and Systems I: Regular Papers, 67, 67, 2780-2790, 2020, Liczba cytowań: 34
Prediction of streamflow based on dynamic sliding window lstm
Dong L., Fang D., Wang X., Wei W., Damasevicius R., Scherer R., Wozniak M., Prediction of streamflow based on dynamic sliding window lstm, Water (Switzerland), 12, 12, 1-11, 2020, Liczba cytowań: 33
On the Parzen Kernel-Based Probability Density Function Learning Procedures over Time-Varying Streaming Data with Applications to Pattern Classification
Duda P., Rutkowski L., Jaworski M., Rutkowska D., On the Parzen Kernel-Based Probability Density Function Learning Procedures over Time-Varying Streaming Data with Applications to Pattern Classification, IEEE Transactions on Cybernetics, 50, 50, 1683-1696, 2020, Liczba cytowań: 32
A survey on digital camera identification methods
Bernacki J., A survey on digital camera identification methods, Forensic Science International: Digital Investigation, 34, 34, 2020, Liczba cytowań: 28
Efficient Image Retrieval by Fuzzy Rules from Boosting and Metaheuristic
Korytkowski M., Senkerik R., Scherer M.M., Angryk R.A., Kordos M., Siwocha A., Efficient Image Retrieval by Fuzzy Rules from Boosting and Metaheuristic, Journal of Artificial Intelligence and Soft Computing Research, 10, 10, 57-69, 2020, Liczba cytowań: 27
On Training Deep Neural Networks Using a Streaming Approach
Duda P., Jaworski M., Cader A., Wang L., On Training Deep Neural Networks Using a Streaming Approach, Journal of Artificial Intelligence and Soft Computing Research, 10, 10, 15-26, 2020, Liczba cytowań: 24
Lyapunov Functions for the Set Stability and the Synchronization of Boolean Control Networks
Chen B., Cao J., Lu G., Rutkowski L., Lyapunov Functions for the Set Stability and the Synchronization of Boolean Control Networks, IEEE Transactions on Circuits and Systems II: Express Briefs, 67, 67, 2537-2541, 2020, Liczba cytowań: 23
Quality control of the continuous hot pressing process of medium density fiberboard using fuzzy failure mode and effects analysis
Lv Y., Liu Y., Jing W., Wozniak M., Damasevicius R., Scherer R., Wei W., Quality control of the continuous hot pressing process of medium density fiberboard using fuzzy failure mode and effects analysis, Applied Sciences (Switzerland), 10, 10, 2020, Liczba cytowań: 22
Event-triggered impulsive synchronization of discrete-time coupled neural networks with stochastic perturbations and multiple delays
Li H., Fang J.-A., Li X., Rutkowski L., Huang T., Event-triggered impulsive synchronization of discrete-time coupled neural networks with stochastic perturbations and multiple delays, Neural Networks, 132, 132, 447-460, 2020, Liczba cytowań: 21
Triangular Fuzzy-Rough Set Based Fuzzification of Fuzzy Rule-Based Systems
Starczewski J.T., Goetzen P., Napoli C., Triangular Fuzzy-Rough Set Based Fuzzification of Fuzzy Rule-Based Systems, Journal of Artificial Intelligence and Soft Computing Research, 10, 10, 271-285, 2020, Liczba cytowań: 21
Browser fingerprint coding methods increasing the effectiveness of user identification in the web traffic
Gabryel M., Grzanek K., Hayashi Y., Browser fingerprint coding methods increasing the effectiveness of user identification in the web traffic, Journal of Artificial Intelligence and Soft Computing Research, 10, 10, 243-253, 2020, Liczba cytowań: 21
Nanocomposite for photonics — Nickel pyrophosphate nanocrystals synthesised in silica nanoreactors
Laskowska M., Kityk I., Pastukh O., Dulski M., Zubko M., Jedryka J., Cpalka K., Zielinski P.M., Laskowski, Nanocomposite for photonics — Nickel pyrophosphate nanocrystals synthesised in silica nanoreactors, Microporous and Mesoporous Materials, 306, 306, 2020, Liczba cytowań: 19
A New Auto Adaptive Fuzzy Hybrid Particle Swarm Optimization and Genetic Algorithm
Dziwinski P., Bartczuk L., Paszkowski J., A New Auto Adaptive Fuzzy Hybrid Particle Swarm Optimization and Genetic Algorithm, Journal of Artificial Intelligence and Soft Computing Research, 10, 10, 95-111, 2020, Liczba cytowań: 18
Basic Concepts of Data Stream Mining
Rutkowski L., Jaworski M., Duda P., Basic Concepts of Data Stream Mining, Studies in Big Data, 56, 56, 13-33, 2020, Liczba cytowań: 18
Rough Support Vector Machine for Classification with Interval and Incomplete Data
Nowicki R.K., Grzanek K., Hayashi Y., Rough Support Vector Machine for Classification with Interval and Incomplete Data, Journal of Artificial Intelligence and Soft Computing Research, 10, 10, 47-56, 2020, Liczba cytowań: 15
Multipopulation Nature-Inspired Algorithm (MNIA) for the Designing of Interpretable Fuzzy Systems
Slowik A., Cpalka K., Lapa K., Multipopulation Nature-Inspired Algorithm (MNIA) for the Designing of Interpretable Fuzzy Systems, IEEE Transactions on Fuzzy Systems, 28, 28, 1125-1139, 2020, Liczba cytowań: 15
A New Approach to Detection of Changes in Multidimensional Patterns
Galkowski T., Krzyaak A., Filutowicz Z., A New Approach to Detection of Changes in Multidimensional Patterns, Journal of Artificial Intelligence and Soft Computing Research, 10, 10, 125-136, 2020, Liczba cytowań: 14
Concept Drift Detection Using Autoencoders in Data Streams Processing
Jaworski M., Rutkowski L., Angelov P., Concept Drift Detection Using Autoencoders in Data Streams Processing, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 12415 LNAI, 12415 LNAI, 124-133, 2020, Liczba cytowań: 14
Automatic exposure algorithms for digital photography
Bernacki J., Automatic exposure algorithms for digital photography, Multimedia Tools and Applications, 79, 79, 12751-12776, 2020, Liczba cytowań: 13
A Practical Statistical Approach to the Reconstruction Problem Using a Single Slice Rebinning Method
Cierniak R., Pluta P., KaAmierczak A., A Practical Statistical Approach to the Reconstruction Problem Using a Single Slice Rebinning Method, Journal of Artificial Intelligence and Soft Computing Research, 10, 10, 137-149, 2020, Liczba cytowań: 13
Nanostructured silica with anchoring units: The 2D solid solvent for molecules and metal ions
Laskowska M., Pastukh O., Fedorchuk A., Schabikowski M., Kowalczyk P., Zalasinski M., Laskowski L., Nanostructured silica with anchoring units: The 2D solid solvent for molecules and metal ions, International Journal of Molecular Sciences, 21, 21, 1-38, 2020, Liczba cytowań: 12
Evolutionary Algorithm with a Configurable Search Mechanism
Lapa K., Cpalka K., Laskowski L., Cader A., Zeng Z., Evolutionary Algorithm with a Configurable Search Mechanism, Journal of Artificial Intelligence and Soft Computing Research, 10, 10, 151-171, 2020, Liczba cytowań: 12
On-Line Signature Partitioning Using a Population Based Algorithm
Zalasinski M., Lapa K., Cpalka K., Przybyszewski K., Yen G.G., On-Line Signature Partitioning Using a Population Based Algorithm, Journal of Artificial Intelligence and Soft Computing Research, 10, 10, 5-13, 2020, Liczba cytowań: 11
Detecting Visual Objects by Edge Crawling
Grycuk R., Wojciechowski A., Wei W., Siwocha A., Detecting Visual Objects by Edge Crawling, Journal of Artificial Intelligence and Soft Computing Research, 10, 10, 223-237, 2020, Liczba cytowań: 10
Fast Image Index for Database Management Engines
Grycuk R., Najgebauer P., Kordos M., Scherer M.M., Marchlewska A., Fast Image Index for Database Management Engines, Journal of Artificial Intelligence and Soft Computing Research, 10, 10, 113-123, 2020, Liczba cytowań: 10
Magnetic behaviour of Mn<inf>12</inf>-stearate single-molecule magnets immobilized on the surface of 300 nm spherical silica nanoparticles
Laskowska M., Pastukh O., Konieczny P., Dulski M., Zalsinski M., Laskowski L., Magnetic behaviour of Mn<inf>12</inf>-stearate single-molecule magnets immobilized on the surface of 300 nm spherical silica nanoparticles, Materials, 13, 13, 2020, Liczba cytowań: 9
High-resolution SAR image despeckling based on nonlocal means filter and modified AA model
Ke Q., Zeng-Guo S., Liu Y., Wei W., Wozniak M., Scherer R., High-resolution SAR image despeckling based on nonlocal means filter and modified AA model, Security and Communication Networks, 2020, 2020, 2020, Liczba cytowań: 8
Encoder-Decoder Based CNN Structure for Microscopic Image Identification
Polap D., Wozniak M., Korytkowski M., Scherer R., Encoder-Decoder Based CNN Structure for Microscopic Image Identification, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 12532 LNCS, 12532 LNCS, 301-312, 2020, Liczba cytowań: 8
A Novel Drift Detection Algorithm Based on Features' Importance Analysis in a Data Streams Environment
Duda P., Przybyszewski K., Wang L., A Novel Drift Detection Algorithm Based on Features' Importance Analysis in a Data Streams Environment, Journal of Artificial Intelligence and Soft Computing Research, 10, 10, 287-298, 2020, Liczba cytowań: 7
Decision Trees in Data Stream Mining
Rutkowski L., Jaworski M., Duda P., Decision Trees in Data Stream Mining, Studies in Big Data, 56, 56, 37-50, 2020, Liczba cytowań: 7
Fully Convolutional Network for Removing DCT Artefacts from Images
Najgebauer P., Scherer R., Rutkowski L., Fully Convolutional Network for Removing DCT Artefacts from Images, Proceedings of the International Joint Conference on Neural Networks, 2020, Liczba cytowań: 6
An Algorithm for the Evolutionary-Fuzzy Generation of on-Line Signature Hybrid Descriptors
Zalasinski M., Cpalka K., Laskowski L., Wunsch D.C., Przybyszewski K., An Algorithm for the Evolutionary-Fuzzy Generation of on-Line Signature Hybrid Descriptors, Journal of Artificial Intelligence and Soft Computing Research, 10, 10, 173-187, 2020, Liczba cytowań: 6
Efficient visual classification by fuzzy rules
Korytkowski M., Scherer R., Szajerman D., Polap D., Wozniak M., Efficient visual classification by fuzzy rules, IEEE International Conference on Fuzzy Systems, 2020-July, 2020-July, 2020, Liczba cytowań: 6
Intelligent recommendation of related items based on naive bayes and collaborative filtering combination model
Wei W., Wang Z., Fu C., Damasevicius R., Scherer R., Wozniak M., Intelligent recommendation of related items based on naive bayes and collaborative filtering combination model, Journal of Physics: Conference Series, 1682, 1682, 2020, Liczba cytowań: 6
Synthesis in silica nanoreactor: Copper pyrophosphate quantum dots and silver oxide nanocrystallites inside silica mezochannels
Laskowski L., Majtyka-Pilat A., Cpalka K., Zubko M., Laskowska M., Synthesis in silica nanoreactor: Copper pyrophosphate quantum dots and silver oxide nanocrystallites inside silica mezochannels, Materials, 13, 13, 2020, Liczba cytowań: 5
Ghomr: Multi-receptive lightweight residual modules for hyperspectral classification
Das A., Saha I., Scherer R., Ghomr: Multi-receptive lightweight residual modules for hyperspectral classification, Sensors (Switzerland), 20, 20, 1-19, 2020, Liczba cytowań: 5
Intelligent Approach to the Prediction of Changes in Biometric Attributes
Zalasinski M., Lapa K., Laskowska M., Intelligent Approach to the Prediction of Changes in Biometric Attributes, IEEE Transactions on Fuzzy Systems, 28, 28, 1073-1083, 2020, Liczba cytowań: 5
Fast Conjugate Gradient Algorithm for Feedforward Neural Networks
Bilski J., Smolag J., Fast Conjugate Gradient Algorithm for Feedforward Neural Networks, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 12415 LNAI, 12415 LNAI, 27-38, 2020, Liczba cytowań: 5
An interpretable fuzzy system in the on-line signature scalable verification
Zalasinski M., Cpalka K., Lapa K., An interpretable fuzzy system in the on-line signature scalable verification, IEEE International Conference on Fuzzy Systems, 2020-July, 2020-July, 2020, Liczba cytowań: 4
Fingerprinting of url logs: Continuous user authentication from behavioural patterns
Nowak J., Holotyak T., Korytkowski M., Scherer R., Voloshynovskiy S., Fingerprinting of url logs: Continuous user authentication from behavioural patterns, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 12140 LNCS, 12140 LNCS, 184-195, 2020, Liczba cytowań: 4
Digital camera identification based on analysis of optical defects
Bernacki J., Digital camera identification based on analysis of optical defects, Multimedia Tools and Applications, 79, 79, 2945-2963, 2020, Liczba cytowań: 3
Visual Hybrid Recommendation Systems Based on the Content-Based Filtering
Woldan P., Duda P., Hayashi Y., Visual Hybrid Recommendation Systems Based on the Content-Based Filtering, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 12416 LNAI, 12416 LNAI, 455-465, 2020, Liczba cytowań: 3
A Pilot Study for Investigating Gait Signatures in Multi-Scenario Applications
Hazra S., Roy P., Nandy A., Scherer R., A Pilot Study for Investigating Gait Signatures in Multi-Scenario Applications, Proceedings of the International Joint Conference on Neural Networks, 2020, Liczba cytowań: 3
A New Approach to Detection of Abrupt Changes in Black-and-White Images
Galkowski T., Krzyzak A., A New Approach to Detection of Abrupt Changes in Black-and-White Images, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 12416 LNAI, 12416 LNAI, 3-18, 2020, Liczba cytowań: 3
Grid-Based Approach to Determining Parameters of the DBSCAN Algorithm
Starczewski A., Cader A., Grid-Based Approach to Determining Parameters of the DBSCAN Algorithm, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 12415 LNAI, 12415 LNAI, 555-565, 2020, Liczba cytowań: 3
Statistical iterative reconstruction algorithm based on a continuous-to-continuous model formulated for spiral cone-beam ct
Cierniak R., Pluta P., Statistical iterative reconstruction algorithm based on a continuous-to-continuous model formulated for spiral cone-beam ct, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 12139 LNCS, 12139 LNCS, 613-620, 2020, Liczba cytowań: 2
Probabilistic Neural Networks for the Streaming Data Classification
Rutkowski L., Jaworski M., Duda P., Probabilistic Neural Networks for the Streaming Data Classification, Studies in Big Data, 56, 56, 245-277, 2020, Liczba cytowań: 2
Visual analysis of computer game output video stream for gameplay metrics
Kozlowski K., Korytkowski M., Szajerman D., Visual analysis of computer game output video stream for gameplay metrics, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 12141 LNCS, 12141 LNCS, 538-552, 2020, Liczba cytowań: 2
Edge Curve Estimation by the Nonparametric Parzen Kernel Method
Galkowski T., Krzyzak A., Edge Curve Estimation by the Nonparametric Parzen Kernel Method, Communications in Computer and Information Science, 1332, 1332, 377-385, 2020, Liczba cytowań: 2
FastText and XGBoost Content-Based Classification for Employment Web Scraping
Talun A., Drozda P., Bukowski L., Scherer R., FastText and XGBoost Content-Based Classification for Employment Web Scraping, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 12416 LNAI, 12416 LNAI, 435-444, 2020, Liczba cytowań: 2
Grouping Handwritten Letter Strokes Using a Fuzzy Decision Tree
Wrobel M., Starczewski J.T., Napoli C., Grouping Handwritten Letter Strokes Using a Fuzzy Decision Tree, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 12416 LNAI, 12416 LNAI, 103-113, 2020, Liczba cytowań: 2
Complex systems and networks with their applications
Cao J.-D., Liu Y., Lu J.-Q., Rutkowski L., Complex systems and networks with their applications, Frontiers of Information Technology and Electronic Engineering, 21, 21, 195-198, 2020, Liczba cytowań: 2
Discovering Sequential Patterns by Neural Networks
Nowak J., Korytkowski M., Scherer R., Discovering Sequential Patterns by Neural Networks, Proceedings of the International Joint Conference on Neural Networks, 2020, Liczba cytowań: 2
A Novel Explainable Recommender for Investment Managers
Rutkowski T., Nielek R., Rutkowska D., Rutkowski L., A Novel Explainable Recommender for Investment Managers, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 12416 LNAI, 12416 LNAI, 412-422, 2020, Liczba cytowań: 2
Misclassification Error Impurity Measure
Rutkowski L., Jaworski M., Duda P., Misclassification Error Impurity Measure, Studies in Big Data, 56, 56, 63-82, 2020, Liczba cytowań: 2
Normal grouping density separation (ngds): A novel object-driven indoor point cloud partition method
Walczak J., Andrzejczak G., Scherer R., Wojciechowski A., Normal grouping density separation (ngds): A novel object-driven indoor point cloud partition method, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 12142 LNCS, 12142 LNCS, 100-114, 2020, Liczba cytowań: 1
Educational management system
Wei W., Li X., Zhang B., Liu X., Scherer R., Damasevicius R., Educational management system, Proceedings - 2020 International Conference on Intelligent Computing and Human-Computer Interaction, ICHCI 2020, 53-56, 2020, Liczba cytowań: 1
Cascade PID Controller Optimization Using Bison Algorithm
Kazikova A., Lapa K., Pluhacek M., Senkerik R., Cascade PID Controller Optimization Using Bison Algorithm, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 12415 LNAI, 12415 LNAI, 406-416, 2020, Liczba cytowań: 1
Feature detection
Scherer R., Feature detection, Studies in Computational Intelligence, 821, 821, 7-32, 2020, Liczba cytowań: 1
General Non-parametric Learning Procedure for Tracking Concept Drift
Rutkowski L., Jaworski M., Duda P., General Non-parametric Learning Procedure for Tracking Concept Drift, Studies in Big Data, 56, 56, 155-172, 2020, Liczba cytowań: 1
Introduction and Overview of the Main Results of the Book
Rutkowski L., Jaworski M., Duda P., Introduction and Overview of the Main Results of the Book, Studies in Big Data, 56, 56, 1-10, 2020, Liczba cytowań: 1
Online job search and recruitment platform for college students based on SSH
Wei W., Wang B., Zhang B., Scherer R., Damasevicius R., Online job search and recruitment platform for college students based on SSH, Proceedings - 2020 International Conference on Intelligent Computing and Human-Computer Interaction, ICHCI 2020, 355-358, 2020, Liczba cytowań: 1
Nonparametric Regression Models for Data Streams Based on the Generalized Regression Neural Networks
Rutkowski L., Jaworski M., Duda P., Nonparametric Regression Models for Data Streams Based on the Generalized Regression Neural Networks, Studies in Big Data, 56, 56, 173-244, 2020, Liczba cytowań: 1
Hybrid Splitting Criteria
Rutkowski L., Jaworski M., Duda P., Hybrid Splitting Criteria, Studies in Big Data, 56, 56, 91-113, 2020, Liczba cytowań: 1
Introduction to the Special Issue on Nature-Inspired Optimization Methods in Fuzzy Systems
Slowik A., Cpalka K., Jin Y., Introduction to the Special Issue on Nature-Inspired Optimization Methods in Fuzzy Systems, IEEE Transactions on Fuzzy Systems, 28, 28, 1019-1022, 2020, Liczba cytowań: 1
Explainable Cluster-Based Rules Generation for Image Retrieval and Classification
Staszewski P., Jaworski M., Rutkowski L., Tao D., Explainable Cluster-Based Rules Generation for Image Retrieval and Classification, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 12416 LNAI, 12416 LNAI, 85-94, 2020, Liczba cytowań: 1
Nonlinear Fuzzy Modelling of Dynamic Objects with Fuzzy Hybrid Particle Swarm Optimization and Genetic Algorithm
Bartczuk L., Dziwinski P., Goetzen P., Nonlinear Fuzzy Modelling of Dynamic Objects with Fuzzy Hybrid Particle Swarm Optimization and Genetic Algorithm, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 12415 LNAI, 12415 LNAI, 315-325, 2020, Liczba cytowań: 1
The Dynamic Signature Verification Using population-Based Vertical Partitioning
Zalasinski M., Cpalka K., Niksa-Rynkiewicz T., The Dynamic Signature Verification Using population-Based Vertical Partitioning, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 12532 LNCS, 12532 LNCS, 569-579, 2020, Liczba cytowań: 1
Methods of Searching for Similar Device Fingerprints Using Changes in Unstable Parameters
Gabryel M., Przybyszewski K., Methods of Searching for Similar Device Fingerprints Using Changes in Unstable Parameters, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 12416 LNAI, 12416 LNAI, 325-335, 2020, Liczba cytowań: 1
Novel Fast Binary Hash for Content-based Solar Image Retrieval
Grycuk R., Scherer R., Novel Fast Binary Hash for Content-based Solar Image Retrieval, Proceedings of the International Joint Conference on Neural Networks, 2020, Liczba cytowań: 1
Image retrieval and classification in relational databases
Scherer R., Image retrieval and classification in relational databases, Studies in Computational Intelligence, 821, 821, 107-136, 2020, Liczba cytowań: 1
Image indexing techniques
Scherer R., Image indexing techniques, Studies in Computational Intelligence, 821, 821, 33-82, 2020, Liczba cytowań: 0
Signature Partitioning Using Selected Population-Based Algorithms
Zalasinski M., Cpalka K., Niksa-Rynkiewicz T., Hayashi Y., Signature Partitioning Using Selected Population-Based Algorithms, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 12415 LNAI, 12415 LNAI, 480-488, 2020, Liczba cytowań: 0
A New Algorithm with a Line Search for Feedforward Neural Networks Training
Bilski J., Kowalczyk B., Zurada J.M., A New Algorithm with a Line Search for Feedforward Neural Networks Training, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 12415 LNAI, 12415 LNAI, 15-26, 2020, Liczba cytowań: 0
Design and implementation of forward modeling algorithm for anisotropic seismic waves
Wei W., Gao F., Zhang B., Scherer R., Hui M., Damasevicius R., Design and implementation of forward modeling algorithm for anisotropic seismic waves, Proceedings - 2020 International Conference on Intelligent Computing and Human-Computer Interaction, ICHCI 2020, 341-350, 2020, Liczba cytowań: 0
Active Region-Based Full-Disc Solar Image Hashing
Grycuk R., Costa K., Scherer R., Active Region-Based Full-Disc Solar Image Hashing, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 12416 LNAI, 12416 LNAI, 19-30, 2020, Liczba cytowań: 0
Research on variable scale algorithm
Wei W., Hui M., Zhang B., Scherer R., Gao F., Damasevicius R., Research on variable scale algorithm, Proceedings - 2020 International Conference on Intelligent Computing and Human-Computer Interaction, ICHCI 2020, 316-322, 2020, Liczba cytowań: 0
Regression
Rutkowski L., Jaworski M., Duda P., Regression, Studies in Big Data, 56, 56, 309-322, 2020, Liczba cytowań: 0
Splitting Criteria Based on the McDiarmid’s Theorem
Rutkowski L., Jaworski M., Duda P., Splitting Criteria Based on the McDiarmid’s Theorem, Studies in Big Data, 56, 56, 51-62, 2020, Liczba cytowań: 0
Preface
Scherer R., Preface, Studies in Computational Intelligence, 821, 821, v, 2020, Liczba cytowań: 0
Preface
Rutkowski L., Preface, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 12415 LNAI, 12415 LNAI, v-vi, 2020, Liczba cytowań: 0
Preface
Rutkowski L., Preface, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 12416 LNAI, 12416 LNAI, v-vi, 2020, Liczba cytowań: 0
Introduction
Scherer R., Introduction, Studies in Computational Intelligence, 821, 821, 1-5, 2020, Liczba cytowań: 0
Concluding remarks and perspectives in computer vision
Scherer R., Concluding remarks and perspectives in computer vision, Studies in Computational Intelligence, 821, 821, 137, 2020, Liczba cytowań: 0
SmartX – IoT MANAGEMENT PLATFORM
Kowalczyk B., Szelag P., SmartX – IoT MANAGEMENT PLATFORM, Rynek Energii, 2020, 2020, 54-60, 2020, Liczba cytowań: 0
Final Remarks and Challenging Problems
Rutkowski L., Jaworski M., Duda P., Final Remarks and Challenging Problems, Studies in Big Data, 56, 56, 323-327, 2020, Liczba cytowań: 0
Classification
Rutkowski L., Jaworski M., Duda P., Classification, Studies in Big Data, 56, 56, 287-308, 2020, Liczba cytowań: 0
On a Streaming Approach for Training Denoising Auto-encoders
Duda P., Wang L., On a Streaming Approach for Training Denoising Auto-encoders, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 12416 LNAI, 12416 LNAI, 315-324, 2020, Liczba cytowań: 0
Basic Concepts of Probabilistic Neural Networks
Rutkowski L., Jaworski M., Duda P., Basic Concepts of Probabilistic Neural Networks, Studies in Big Data, 56, 56, 117-154, 2020, Liczba cytowań: 0
The General Procedure of Ensembles Construction in Data Stream Scenarios
Rutkowski L., Jaworski M., Duda P., The General Procedure of Ensembles Construction in Data Stream Scenarios, Studies in Big Data, 56, 56, 281-286, 2020, Liczba cytowań: 0
Splitting Criteria with the Bias Term
Rutkowski L., Jaworski M., Duda P., Splitting Criteria with the Bias Term, Studies in Big Data, 56, 56, 83-89, 2020, Liczba cytowań: 0
A Population-Based Method with Selection of a Search Operator
Lapa K., Cpalka K., Niksa-Rynkiewicz T., Wang L., A Population-Based Method with Selection of a Search Operator, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 12415 LNAI, 12415 LNAI, 429-444, 2020, Liczba cytowań: 0
Job Offer Analysis Using Convolutional and Recurrent Convolutional Networks
Nowak J., Milkowska K., Scherer M., Talun A., Korytkowski M., Job Offer Analysis Using Convolutional and Recurrent Convolutional Networks, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 12416 LNAI, 12416 LNAI, 380-387, 2020, Liczba cytowań: 0
Novel methods for image description
Scherer R., Novel methods for image description, Studies in Computational Intelligence, 821, 821, 83-105, 2020, Liczba cytowań: 0

2019 (47)

HEMIGEN: Human embryo image generator based on generative adversarial networks
Dirvanauskas D., Maskeliunas R., Raudonis V., Damasevicius R., Scherer R., HEMIGEN: Human embryo image generator based on generative adversarial networks, Sensors (Switzerland), 19, 19, 2019, Liczba cytowań: 41
On Explainable Fuzzy Recommenders and their Performance Evaluation
Rutkowski T., Lapa K., Nielek R., On Explainable Fuzzy Recommenders and their Performance Evaluation, International Journal of Applied Mathematics and Computer Science, 29, 29, 595-610, 2019, Liczba cytowań: 25
On explainable flexible fuzzy recommender and its performance evaluation using the akaike information criterion
Rutkowski T., Lapa K., Jaworski M., Nielek R., Rutkowska D., On explainable flexible fuzzy recommender and its performance evaluation using the akaike information criterion, Communications in Computer and Information Science, 1142 CCIS, 1142 CCIS, 717-724, 2019, Liczba cytowań: 15
Inertia-based Fast Vectorization of Line Drawings
Najgebauer P., Scherer R., Inertia-based Fast Vectorization of Line Drawings, Computer Graphics Forum, 38, 38, 203-213, 2019, Liczba cytowań: 14
Determining the eps parameter of the DBSCAN algorithm
Starczewski A., Cader A., Determining the eps parameter of the DBSCAN algorithm, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 11509 LNAI, 11509 LNAI, 420-430, 2019, Liczba cytowań: 14
Meta-optimization of multi-objective population-based algorithms using multi-objective performance metrics
Lapa K., Meta-optimization of multi-objective population-based algorithms using multi-objective performance metrics, Information Sciences, 489, 489, 193-204, 2019, Liczba cytowań: 11
On Explainable Recommender Systems Based on Fuzzy Rule Generation Techniques
Rutkowski T., Lapa K., Nowicki R., Nielek R., Grzanek K., On Explainable Recommender Systems Based on Fuzzy Rule Generation Techniques, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 11508 LNAI, 11508 LNAI, 358-372, 2019, Liczba cytowań: 8
A New Hybrid Particle Swarm Optimization and Evolutionary Algorithm
Dziwinski P., Bartczuk L., Goetzen P., A New Hybrid Particle Swarm Optimization and Evolutionary Algorithm, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 11508 LNAI, 11508 LNAI, 432-444, 2019, Liczba cytowań: 6
The dynamically modified BoW algorithm used in assessing clicks in online ads
Gabryel M., Przybyszewski K., The dynamically modified BoW algorithm used in assessing clicks in online ads, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 11509 LNAI, 11509 LNAI, 350-360, 2019, Liczba cytowań: 6
Algorithm Based on Population with a Flexible Search Mechanism
Lapa K., Cpalka K., Zalasinski M., Algorithm Based on Population with a Flexible Search Mechanism, IEEE Access, 7, 7, 132253-132270, 2019, Liczba cytowań: 5
Microscopic Sample Segmentation by Fully Convolutional Network for Parasite Detection
Najgebauer P., Grycuk R., Rutkowski L., Scherer R., Siwocha A., Microscopic Sample Segmentation by Fully Convolutional Network for Parasite Detection, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 11508 LNAI, 11508 LNAI, 164-171, 2019, Liczba cytowań: 5
Resource-aware data stream mining using the restricted boltzmann machine
Jaworski M., Rutkowski L., Duda P., Cader A., Resource-aware data stream mining using the restricted boltzmann machine, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 11509 LNAI, 11509 LNAI, 384-396, 2019, Liczba cytowań: 4
Distributed image retrieval with colour and keypoint features
Lagiewka M., Korytkowski M., Scherer R., Distributed image retrieval with colour and keypoint features, Journal of Information and Telecommunication, 3, 3, 430-445, 2019, Liczba cytowań: 4
Hybrid Multi-population Based Approach for Controllers Structure and Parameters Selection
Lapa K., Cpalka K., Paszkowski J., Hybrid Multi-population Based Approach for Controllers Structure and Parameters Selection, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 11508 LNAI, 11508 LNAI, 456-468, 2019, Liczba cytowań: 3
Rough Set Theory Fundamentals
Nowicki R.K., Rough Set Theory Fundamentals, Studies in Computational Intelligence, 802, 802, 7-16, 2019, Liczba cytowań: 3
Rough Fuzzy Classification Systems
Nowicki R.K., Rough Fuzzy Classification Systems, Studies in Computational Intelligence, 802, 802, 17-70, 2019, Liczba cytowań: 3
Software framework for fast image retrieval
Grycuk R., Scherer R., Software framework for fast image retrieval, 2019 24th International Conference on Methods and Models in Automation and Robotics, MMAR 2019, 588-593, 2019, Liczba cytowań: 3
Fuzzy-rough fuzzification in general FL classifiers
Starczewski J.T., Nowicki R.K., Nieszporek K., Fuzzy-rough fuzzification in general FL classifiers, IJCCI 2019 - Proceedings of the 11th International Joint Conference on Computational Intelligence, 335-342, 2019, Liczba cytowań: 3
Application of Spiking Neural Networks to Fashion Classification
Opielka P., Starczewski J.T., Wrobel M., Nieszporek K., Marchlewska A., Application of Spiking Neural Networks to Fashion Classification, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 11508 LNAI, 11508 LNAI, 172-180, 2019, Liczba cytowań: 2
A greedy algorithm for extraction of handwritten strokes
Wrobel M., Starczewski J.T., Nieszporek K., Opielka P., Kazmierczak A., A greedy algorithm for extraction of handwritten strokes, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 11509 LNAI, 11509 LNAI, 464-473, 2019, Liczba cytowań: 2
Environment scene classification based on images using bag-of-words
Petraitis T., Maskeliunas R., Damasevicius R., Polap D., Wozniak M., Gabryel M., Environment scene classification based on images using bag-of-words, Studies in Computational Intelligence, 829, 829, 281-303, 2019, Liczba cytowań: 2
Exponential Stabilization for Hybrid Recurrent Neural Networks by Delayed Noises Rooted in Discrete Observations of State and Mode
Feng L., Cao J., Hu J., Wu Z., Rutkowski L., Exponential Stabilization for Hybrid Recurrent Neural Networks by Delayed Noises Rooted in Discrete Observations of State and Mode, Neural Processing Letters, 50, 50, 2797-2819, 2019, Liczba cytowań: 2
Rough Nearest Neighbour Classifier
Nowicki R.K., Rough Nearest Neighbour Classifier, Studies in Computational Intelligence, 802, 802, 133-159, 2019, Liczba cytowań: 2
The Method of Predicting Changes of a Dynamic Signature Using Possibilities of Population-Based Algorithms
Zalasinski M., Lapa K., Cpalka K., Marchlewska A., The Method of Predicting Changes of a Dynamic Signature Using Possibilities of Population-Based Algorithms, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 11508 LNAI, 11508 LNAI, 540-549, 2019, Liczba cytowań: 2
On Handling Missing Values in Data Stream Mining Algorithms Based on the Restricted Boltzmann Machine
Jaworski M., Duda P., Rutkowska D., Rutkowski L., On Handling Missing Values in Data Stream Mining Algorithms Based on the Restricted Boltzmann Machine, Communications in Computer and Information Science, 1143 CCIS, 1143 CCIS, 347-354, 2019, Liczba cytowań: 2
On the hermite series-based generalized regression neural networks for stream data mining
Rutkowska D., Rutkowski L., On the hermite series-based generalized regression neural networks for stream data mining, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 11955 LNCS, 11955 LNCS, 437-448, 2019, Liczba cytowań: 1
Convolutional Recurrent Neural Networks for Computer Network Analysis
Nowak J., Korytkowski M., Scherer R., Convolutional Recurrent Neural Networks for Computer Network Analysis, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 11730 LNCS, 11730 LNCS, 747-757, 2019, Liczba cytowań: 1
Modifications of the Givens Training Algorithm for Artificial Neural Networks
Bilski J., Kowalczyk B., Cader A., Modifications of the Givens Training Algorithm for Artificial Neural Networks, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 11508 LNAI, 11508 LNAI, 14-28, 2019, Liczba cytowań: 1
EM-ML algorithm based on continuous-to-continuous model for PET
Cierniak R., Dobosz P., Grzybowski A., EM-ML algorithm based on continuous-to-continuous model for PET, Proceedings of SPIE - The International Society for Optical Engineering, 11072, 11072, 2019, Liczba cytowań: 1
Extended possibilistic fuzzification for classification
Nowicki R.K., Starczewski J.T., Grycuk R., Extended possibilistic fuzzification for classification, IJCCI 2019 - Proceedings of the 11th International Joint Conference on Computational Intelligence, 343-350, 2019, Liczba cytowań: 1
Multilayer architecture for content-based image retrieval systems
Grycuk R., Najgebauer P., Nowicki R., Scherer R., Multilayer architecture for content-based image retrieval systems, Proceedings - 2019 IEEE 12th Conference on Service-Oriented Computing and Applications, SOCA 2019, 119-126, 2019, Liczba cytowań: 1
SEARCHING THE BEGINNING OF THE CLIMB TO GET THE MOST RELIABLE DIFFICULTY INDEX
Wrobel M., SEARCHING THE BEGINNING OF THE CLIMB TO GET THE MOST RELIABLE DIFFICULTY INDEX, Journal of Applied Mathematics and Computational Mechanics, 18, 18, 97-103, 2019, Liczba cytowań: 0
Realizations of the statistical reconstruction method based on the continuous-to-continuous data model
Cierniak R., Bilski J., Pluta P., Filutowicz Z., Realizations of the statistical reconstruction method based on the continuous-to-continuous data model, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 11509 LNAI, 11509 LNAI, 149-156, 2019, Liczba cytowań: 0
A new concept of nonparametric kernel approach for edge detection
Galkowski T., Przybyszewski K., A new concept of nonparametric kernel approach for edge detection, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 11509 LNAI, 11509 LNAI, 361-370, 2019, Liczba cytowań: 0
Fuzzy Rough Classification Systems
Nowicki R.K., Fuzzy Rough Classification Systems, Studies in Computational Intelligence, 802, 802, 71-93, 2019, Liczba cytowań: 0
Fuzzy–rough Fuzzification in General FL Classifiers
Starczewski J.T., Nowicki R.K., Nieszporek K., Fuzzy–rough Fuzzification in General FL Classifiers, International Joint Conference on Computational Intelligence, 1, 1, 335-342, 2019, Liczba cytowań: 0
Preface
Rutkowski L., Preface, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 11509 LNAI, 11509 LNAI, v-vi, 2019, Liczba cytowań: 0
Ensembles of Rough Set–Based Classifiers
Nowicki R.K., Ensembles of Rough Set–Based Classifiers, Studies in Computational Intelligence, 802, 802, 161-184, 2019, Liczba cytowań: 0
Preface
Rutkowski L., Preface, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 11508 LNAI, 11508 LNAI, v-vi, 2019, Liczba cytowań: 0
Corrigendum to ‘How to adjust an ensemble size in stream data mining?’ (Information Sciences (2017) 381 (46–54), (S0020025516313445) (10.1016/j.ins.2016.10.028))
Pietruczuk L., Rutkowski L., Jaworski M., Duda P., Corrigendum to ‘How to adjust an ensemble size in stream data mining?’ (Information Sciences (2017) 381 (46–54), (S0020025516313445) (10.1016/j.ins.2016.10.028)), Information Sciences, 477, 477, 545, 2019, Liczba cytowań: 0
Final Remarks
Nowicki R.K., Final Remarks, Studies in Computational Intelligence, 802, 802, 185-188, 2019, Liczba cytowań: 0
Iterative Statistical Reconstruction Algorithm Based on C-C Data Model with the Direct Use of Projections Performed in Spiral Cone-Beam CT Scanners
Cierniak R., Pluta P., Iterative Statistical Reconstruction Algorithm Based on C-C Data Model with the Direct Use of Projections Performed in Spiral Cone-Beam CT Scanners, Advances in Intelligent Systems and Computing, 1011, 1011, 56-66, 2019, Liczba cytowań: 0
Introduction
Nowicki R.K., Introduction, Studies in Computational Intelligence, 802, 802, 1-6, 2019, Liczba cytowań: 0
Sequential Data Mining of Network Traffic in URL Logs
Korytkowski M., Nowak J., Nowicki R., Milkowska K., Scherer M., Goetzen P., Sequential Data Mining of Network Traffic in URL Logs, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 11508 LNAI, 11508 LNAI, 125-130, 2019, Liczba cytowań: 0
Rough Neural Network Classifier
Nowicki R.K., Rough Neural Network Classifier, Studies in Computational Intelligence, 802, 802, 95-132, 2019, Liczba cytowań: 0
Extended Possibilistic Fuzzification for Classification
Nowicki R.K., Starczewski J.T., Grycuk R., Extended Possibilistic Fuzzification for Classification, International Joint Conference on Computational Intelligence, 1, 1, 343-350, 2019, Liczba cytowań: 0
On Proper Designing of Deep Structures for Image Classification
Woldan P., Staszewski P., Rutkowski L., Grzanek K., On Proper Designing of Deep Structures for Image Classification, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 11508 LNAI, 11508 LNAI, 223-235, 2019, Liczba cytowań: 0

2018 (43)

New Splitting Criteria for Decision Trees in Stationary Data Streams
Jaworski M., Duda P., Rutkowski L., New Splitting Criteria for Decision Trees in Stationary Data Streams, IEEE Transactions on Neural Networks and Learning Systems, 29, 29, 2516-2529, 2018, Liczba cytowań: 89
A content-based recommendation system using neuro-fuzzy approach
Rutkowski T., Romanowski J., Woldan P., Staszewski P., Nielek R., Rutkowski L., A content-based recommendation system using neuro-fuzzy approach, IEEE International Conference on Fuzzy Systems, 2018-July, 2018-July, 2018, Liczba cytowań: 50
Convergent Time-Varying Regression Models for Data Streams: Tracking Concept Drift by the Recursive Parzen-Based Generalized Regression Neural Networks
Duda P., Jaworski M., Rutkowski L., Convergent Time-Varying Regression Models for Data Streams: Tracking Concept Drift by the Recursive Parzen-Based Generalized Regression Neural Networks, International Journal of Neural Systems, 28, 28, 2018, Liczba cytowań: 31
Flexible Fuzzy PID Controller (FFPIDC) and a Nature-Inspired Method for Its Construction
Lapa K., Cpalka K., Flexible Fuzzy PID Controller (FFPIDC) and a Nature-Inspired Method for Its Construction, IEEE Transactions on Industrial Informatics, 14, 14, 1078-1088, 2018, Liczba cytowań: 27
Knowledge discovery in data streams with the orthogonal series-based generalized regression neural networks
Duda P., Jaworski M., Rutkowski L., Knowledge discovery in data streams with the orthogonal series-based generalized regression neural networks, Information Sciences, 460-461, 460-461, 497-518, 2018, Liczba cytowań: 24
Prediction of values of the dynamic signature features
Zalasinski M., Lapa K., Cpalka K., Prediction of values of the dynamic signature features, Expert Systems with Applications, 104, 104, 86-96, 2018, Liczba cytowań: 19
Genetic programming algorithm for designing of control systems
Lapa K., Cpalka K., Przybyl A., Genetic programming algorithm for designing of control systems, Information Technology and Control, 47, 47, 668-683, 2018, Liczba cytowań: 17
New aspects of interpretability of fuzzy systems for nonlinear modeling
Lapa K., Cpalka K., Rutkowski L., New aspects of interpretability of fuzzy systems for nonlinear modeling, Studies in Computational Intelligence, 738, 738, 225-264, 2018, Liczba cytowań: 16
Application of the bag-of-words algorithm in classification the quality of sales leads
Gabryel M., Damasevicius R., Przybyszewski K., Application of the bag-of-words algorithm in classification the quality of sales leads, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10841 LNAI, 10841 LNAI, 615-622, 2018, Liczba cytowań: 15
Data Analysis Algorithm for Click Fraud Recognition
Gabryel M., Data Analysis Algorithm for Click Fraud Recognition, Communications in Computer and Information Science, 920, 920, 437-446, 2018, Liczba cytowań: 15
The bag-of-words method with different types of image features and dictionary analysis
Gabryel M., The bag-of-words method with different types of image features and dictionary analysis, Journal of Universal Computer Science, 24, 24, 357-371, 2018, Liczba cytowań: 13
Concept Drift Detection in Streams of Labelled Data Using the Restricted Boltzmann Machine
Jaworski M., Duda P., Rutkowski L., Concept Drift Detection in Streams of Labelled Data Using the Restricted Boltzmann Machine, Proceedings of the International Joint Conference on Neural Networks, 2018-July, 2018-July, 2018, Liczba cytowań: 13
Multi-objective evolutionary instance selection for regression tasks
Kordos M., Lapa K., Multi-objective evolutionary instance selection for regression tasks, Entropy, 20, 20, 2018, Liczba cytowań: 13
A new method for signature verification based on selection of the most important partitions of the dynamic signature
Zalasinski M., Cpalka K., A new method for signature verification based on selection of the most important partitions of the dynamic signature, Neurocomputing, 289, 289, 13-22, 2018, Liczba cytowań: 12
Random forests for profiling computer network users
Nowak J., Korytkowski M., Nowicki R., Scherer R., Siwocha A., Random forests for profiling computer network users, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10842 LNAI, 10842 LNAI, 734-739, 2018, Liczba cytowań: 11
The parallel modification to the levenberg-marquardt algorithm
Bilski J., Kowalczyk B., Grzanek K., The parallel modification to the levenberg-marquardt algorithm, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10841 LNAI, 10841 LNAI, 15-24, 2018, Liczba cytowań: 11
Negative space-based population initialization algorithm (NSPIA)
Lapa K., Cpalka K., Przybyl A., Grzanek K., Negative space-based population initialization algorithm (NSPIA), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10841 LNAI, 10841 LNAI, 449-461, 2018, Liczba cytowań: 8
Online grnn-based ensembles for regression on evolving data streams
Duda P., Jaworski M., Rutkowski L., Online grnn-based ensembles for regression on evolving data streams, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10878 LNCS, 10878 LNCS, 221-228, 2018, Liczba cytowań: 6
Hard real-time communication solution for mechatronic systems
Przybyl A., Hard real-time communication solution for mechatronic systems, Robotics and Computer-Integrated Manufacturing, 49, 49, 309-316, 2018, Liczba cytowań: 6
Fuzzy-genetic approach to identity verification using a handwritten signature
Zalasinski M., Cpalka K., Rutkowski L., Fuzzy-genetic approach to identity verification using a handwritten signature, Studies in Computational Intelligence, 738, 738, 375-394, 2018, Liczba cytowań: 6
A fuzzy measure for recognition of handwritten letter strokes
Wrobel M., Nieszporek K., Starczewski J.T., Cader A., A fuzzy measure for recognition of handwritten letter strokes, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10841 LNAI, 10841 LNAI, 761-770, 2018, Liczba cytowań: 6
A fuzzy SOM for understanding incomplete 3D faces
Starczewski J.T., Nieszporek K., Wrobel M., Grzanek K., A fuzzy SOM for understanding incomplete 3D faces, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10842 LNAI, 10842 LNAI, 73-80, 2018, Liczba cytowań: 4
A population based algorithm and fuzzy decision trees for nonlinear modeling
Dziwinski P., Bartczuk L., Przybyszewski K., A population based algorithm and fuzzy decision trees for nonlinear modeling, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10842 LNAI, 10842 LNAI, 516-531, 2018, Liczba cytowań: 4
Rough neural network ensemble for interval data classification
Nowicki R.K., Korytkowski M., Scherer R., Rough neural network ensemble for interval data classification, IEEE International Conference on Fuzzy Systems, 2018-July, 2018-July, 2018, Liczba cytowań: 3
Classification of computer network users with convolutional neural networks
Nowak J., Korytkowski M., Scherer R., Classification of computer network users with convolutional neural networks, Proceedings of the 2018 Federated Conference on Computer Science and Information Systems, FedCSIS 2018, 501-504, 2018, Liczba cytowań: 3
Obtaining pareto front in instance selection with ensembles and populations
Kordos M., Wydrzynski M., Lapa K., Obtaining pareto front in instance selection with ensembles and populations, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10841 LNAI, 10841 LNAI, 438-448, 2018, Liczba cytowań: 3
On ensemble components selection in data streams scenario with gradual concept-drift
Duda P., On ensemble components selection in data streams scenario with gradual concept-drift, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10842 LNAI, 10842 LNAI, 311-320, 2018, Liczba cytowań: 3
A method for genetic selection of the dynamic signature global features’ subset
Zalasinski M., Cpalka K., A method for genetic selection of the dynamic signature global features’ subset, Advances in Intelligent Systems and Computing, 655, 655, 73-82, 2018, Liczba cytowań: 3
Fast Two-Level Image Indexing Based on Local Interest Points
Najgebauer P., Grycuk R., Scherer R., Fast Two-Level Image Indexing Based on Local Interest Points, 2018 23rd International Conference on Methods and Models in Automation and Robotics, MMAR 2018, 613-617, 2018, Liczba cytowań: 2
Evolutionary approach for automatic design of PID controllers
Lapa K., Cpalka K., Evolutionary approach for automatic design of PID controllers, Studies in Computational Intelligence, 738, 738, 353-373, 2018, Liczba cytowań: 1
Architecture of database index for content-based image retrieval systems
Grycuk R., Najgebauer P., Scherer R., Siwocha A., Architecture of database index for content-based image retrieval systems, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10842 LNAI, 10842 LNAI, 36-47, 2018, Liczba cytowań: 1
Improvement of the simplified silhouette validity index
Starczewski A., Przybyszewski K., Improvement of the simplified silhouette validity index, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10842 LNAI, 10842 LNAI, 433-444, 2018, Liczba cytowań: 1
On the global convergence of the parzen-based generalized regression neural networks applied to streaming data
Cao J., Rutkowski L., On the global convergence of the parzen-based generalized regression neural networks applied to streaming data, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10841 LNAI, 10841 LNAI, 25-34, 2018, Liczba cytowań: 1
PID-fuzzy controllers with dynamic structure and evolutionary method for their construction
Lapa K., Cpalka K., PID-fuzzy controllers with dynamic structure and evolutionary method for their construction, Advances in Intelligent Systems and Computing, 655, 655, 138-148, 2018, Liczba cytowań: 1
Estimation of probability density function, differential entropy and other relative quantities for data streams with concept drift
Jaworski M., Najgebauer P., Goetzen P., Estimation of probability density function, differential entropy and other relative quantities for data streams with concept drift, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10842 LNAI, 10842 LNAI, 376-386, 2018, Liczba cytowań: 1
Analytical realization of the EM algorithm for emission positron tomography
Cierniak R., Dobosz P., Pluta P., Filutowicz P., Analytical realization of the EM algorithm for emission positron tomography, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10842 LNAI, 10842 LNAI, 127-136, 2018, Liczba cytowań: 0
Performance evaluation of DBN learning on intel multi- and manycore architectures
Olas T., Mleczko W.K., Wozniak M., Nowicki R.K., Gepner P., Performance evaluation of DBN learning on intel multi- and manycore architectures, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10777 LNCS, 10777 LNCS, 565-575, 2018, Liczba cytowań: 0
Symbolic regression with the AMSTA+GP in a non-linear modelling of dynamic objects
Bartczuk L., Dziwinski P., Cader A., Symbolic regression with the AMSTA+GP in a non-linear modelling of dynamic objects, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10842 LNAI, 10842 LNAI, 504-515, 2018, Liczba cytowań: 0
Preface
Rutkowski L., Preface, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10841 LNAI, 10841 LNAI, V-VI, 2018, Liczba cytowań: 0
Outliers detection in regressions by nonparametric parzen kernel estimation
Galkowski T., Cader A., Outliers detection in regressions by nonparametric parzen kernel estimation, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10842 LNAI, 10842 LNAI, 354-363, 2018, Liczba cytowań: 0
Population-based algorithm with selectable evolutionary operators for nonlinear modeling
Lapa K., Population-based algorithm with selectable evolutionary operators for nonlinear modeling, Advances in Intelligent Systems and Computing, 655, 655, 15-26, 2018, Liczba cytowań: 0
Stability of features describing the dynamic signature biometric attribute
Zalasinski M., Cpalka K., Grzanek K., Stability of features describing the dynamic signature biometric attribute, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10842 LNAI, 10842 LNAI, 250-261, 2018, Liczba cytowań: 0
Preface
Rutkowski L., Preface, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10842 LNAI, 10842 LNAI, V-VI, 2018, Liczba cytowań: 0

2017 (53)

LSTM recurrent neural networks for short text and sentiment classification
Nowak J., Taspinar A., Scherer R., LSTM recurrent neural networks for short text and sentiment classification, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10246 LNAI, 10246 LNAI, 553-562, 2017, Liczba cytowań: 125
How to adjust an ensemble size in stream data mining?
Pietruczuk L., Rutkowski L., Jaworski M., Duda P., How to adjust an ensemble size in stream data mining?, Information Sciences, 381, 381, 46-54, 2017, Liczba cytowań: 65
A new validity index for crisp clusters
Starczewski A., A new validity index for crisp clusters, Pattern Analysis and Applications, 20, 20, 687-700, 2017, Liczba cytowań: 49
The image classification with different types of image features
Gabryel M., Damasevicius R., The image classification with different types of image features, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10245 LNAI, 10245 LNAI, 497-506, 2017, Liczba cytowań: 33
A new method for classification of imprecise data using fuzzy rough fuzzification
Nowicki R.K., Starczewski J.T., A new method for classification of imprecise data using fuzzy rough fuzzification, Information Sciences, 414, 414, 33-52, 2017, Liczba cytowań: 25
On applying the Restricted Boltzmann Machine to active concept drift detection
Jaworski M., Duda P., Rutkowski L., On applying the Restricted Boltzmann Machine to active concept drift detection, 2017 IEEE Symposium Series on Computational Intelligence, SSCI 2017 - Proceedings, 2018-January, 2018-January, 1-8, 2017, Liczba cytowań: 22
Novel visual information indexing in relational databases
Korytkowski M., Novel visual information indexing in relational databases, Integrated Computer-Aided Engineering, 24, 24, 119-128, 2017, Liczba cytowań: 16
On ensemble components selection in data streams scenario with reoccurring concept-drift
Duda P., Jaworski M., Rutkowski L., On ensemble components selection in data streams scenario with reoccurring concept-drift, 2017 IEEE Symposium Series on Computational Intelligence, SSCI 2017 - Proceedings, 2018-January, 2018-January, 1-7, 2017, Liczba cytowań: 16
Handwriting recognition with extraction of letter fragments
Wrobel M., Starczewski J.T., Napoli C., Handwriting recognition with extraction of letter fragments, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10246 LNAI, 10246 LNAI, 183-192, 2017, Liczba cytowań: 14
Parallel levenberg-marquardt algorithm without error backpropagation
Bilski J., Wilamowski B.M., Parallel levenberg-marquardt algorithm without error backpropagation, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10245 LNAI, 10245 LNAI, 25-39, 2017, Liczba cytowań: 12
Comparison of effectiveness of multi-objective genetic algorithms in optimization of invertible S-boxes
Kapuscinski T., Nowicki R.K., Napoli C., Comparison of effectiveness of multi-objective genetic algorithms in optimization of invertible S-boxes, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10246 LNAI, 10246 LNAI, 466-476, 2017, Liczba cytowań: 11
Heuristic regression function estimation methods for data streams with concept drift
Jaworski M., Duda P., Rutkowski L., Najgebauer P., Pawlak M., Heuristic regression function estimation methods for data streams with concept drift, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10246 LNAI, 10246 LNAI, 726-737, 2017, Liczba cytowań: 10
The bag-of-words method with dictionary analysis by evolutionary algorithm
Gabryel M., Capizzi G., The bag-of-words method with dictionary analysis by evolutionary algorithm, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10246 LNAI, 10246 LNAI, 43-51, 2017, Liczba cytowań: 8
Interpretability of fuzzy systems designed in the process of evolutionary learning
Cpalka K., Interpretability of fuzzy systems designed in the process of evolutionary learning, Studies in Computational Intelligence, 684, 684, 91-130, 2017, Liczba cytowań: 7
Convolutional neural networks for time series classification
Zebik M., Korytkowski M., Angryk R., Scherer R., Convolutional neural networks for time series classification, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10246 LNAI, 10246 LNAI, 635-642, 2017, Liczba cytowań: 7
The concept on nonlinear modelling of dynamic objects based on state transition algorithm and genetic programming
Bartczuk L., Dziwinski P., Red'Ko V.G., The concept on nonlinear modelling of dynamic objects based on state transition algorithm and genetic programming, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10246 LNAI, 10246 LNAI, 209-220, 2017, Liczba cytowań: 6
Detection of saliency map as image feature outliers using random projections based method
Damasevicius R., Maskeliunas R., Wozniak M., Polap D., Sidekerskiene T., Gabryel M., Detection of saliency map as image feature outliers using random projections based method, ICENCO 2017 - 13th International Computer Engineering Conference: Boundless Smart Societies, 2018-January, 2018-January, 85-90, 2017, Liczba cytowań: 5
A method for non-linear modelling based on the capabilities of PSO and GA algorithms
Dziwinski P., Bartczuk L., Tingwen H., A method for non-linear modelling based on the capabilities of PSO and GA algorithms, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10246 LNAI, 10246 LNAI, 221-232, 2017, Liczba cytowań: 5
Parallel implementation of the givens rotations in the neural network learning algorithm
Bilski J., Kowalczyk B., Zurada J.M., Parallel implementation of the givens rotations in the neural network learning algorithm, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10245 LNAI, 10245 LNAI, 14-24, 2017, Liczba cytowań: 5
Environment recognition based on images using bag-of-words
Petraitis T., Maskeliunas R., Damasevicius R., Polap D., Wozniak M., Gabryel M., Environment recognition based on images using bag-of-words, IJCCI 2017 - Proceedings of the 9th International Joint Conference on Computational Intelligence, 166-176, 2017, Liczba cytowań: 5
Stability evaluation of the dynamic signature partitions over time
Zalasinski M., Cpalka K., Er M.J., Stability evaluation of the dynamic signature partitions over time, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10245 LNAI, 10245 LNAI, 733-746, 2017, Liczba cytowań: 4
Fuzzy PID controllers with FIR filtering and a method for their construction
Lapa K., Cpalka K., Przybyl A., Saito T., Fuzzy PID controllers with FIR filtering and a method for their construction, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10246 LNAI, 10246 LNAI, 292-307, 2017, Liczba cytowań: 4
A method for genetic selection of the most characteristic descriptors of the dynamic signature
Zalasinski M., Cpalka K., Hayashi Y., A method for genetic selection of the most characteristic descriptors of the dynamic signature, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10245 LNAI, 10245 LNAI, 747-760, 2017, Liczba cytowań: 4
The bag-of-words methods with pareto-fronts for similar image retrieval
Gabryel M., The bag-of-words methods with pareto-fronts for similar image retrieval, Communications in Computer and Information Science, 756, 756, 374-384, 2017, Liczba cytowań: 4
Some remarks about tracing digital cameras-faster method and usable countermeasure
Bernacki J., Klonowski M., Syga P., Some remarks about tracing digital cameras-faster method and usable countermeasure, ICETE 2017 - Proceedings of the 14th International Joint Conference on e-Business and Telecommunications, 4, 4, 343-350, 2017, Liczba cytowań: 4
Hybrid initialization in the process of evolutionary learning
Lapa K., Cpalka K., Hayashi Y., Hybrid initialization in the process of evolutionary learning, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10245 LNAI, 10245 LNAI, 380-393, 2017, Liczba cytowań: 4
Novel method for joining missing line fragments for medical image analysis
Najgebauer P., Rutkowski L., Scherer R., Novel method for joining missing line fragments for medical image analysis, 2017 22nd International Conference on Methods and Models in Automation and Robotics, MMAR 2017, 861-866, 2017, Liczba cytowań: 3
A method for changes prediction of the dynamic signature global features over time
Zalasinski M., Lapa K., Cpalka K., Saito T., A method for changes prediction of the dynamic signature global features over time, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10245 LNAI, 10245 LNAI, 761-772, 2017, Liczba cytowań: 3
Improvement of the validity index for determination of an appropriate data partitioning
Starczewski A., Krzyzak A., Improvement of the validity index for determination of an appropriate data partitioning, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10246 LNAI, 10246 LNAI, 159-170, 2017, Liczba cytowań: 3
Distributed image retrieval with color and keypoint features
Lagiewka M., Korytkowski M., Scherer R., Distributed image retrieval with color and keypoint features, Proceedings - 2017 IEEE International Conference on INnovations in Intelligent SysTems and Applications, INISTA 2017, 45-50, 2017, Liczba cytowań: 3
Elastic FOPID+FIR controller design using hybrid population-based algorithm
Lapa K., Elastic FOPID+FIR controller design using hybrid population-based algorithm, Advances in Intelligent Systems and Computing, 522, 522, 15-26, 2017, Liczba cytowań: 3
A method for nonlinear fuzzy modelling using population based algorithm with flexibly selectable operators
Lapa K., Cpalka K., Wang L., A method for nonlinear fuzzy modelling using population based algorithm with flexibly selectable operators, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10245 LNAI, 10245 LNAI, 263-278, 2017, Liczba cytowań: 3
Case study: Interpretability of fuzzy systems applied to nonlinear modelling and control
Cpalka K., Case study: Interpretability of fuzzy systems applied to nonlinear modelling and control, Studies in Computational Intelligence, 684, 684, 131-162, 2017, Liczba cytowań: 2
Local keypoint-based image detector with object detection
Grycuk R., Scherer M., Voloshynovskiy S., Local keypoint-based image detector with object detection, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10245 LNAI, 10245 LNAI, 507-517, 2017, Liczba cytowań: 2
Porous silica templated nanomaterials for artificial intelligence and IT technologies
Laskowska M., Laskowski L., Jelonkiewicz J., Piech H., Galkowski T., Boullanger A., Porous silica templated nanomaterials for artificial intelligence and IT technologies, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10246 LNAI, 10246 LNAI, 509-517, 2017, Liczba cytowań: 2
Introduction to fuzzy system interpretability
Cpalka K., Introduction to fuzzy system interpretability, Studies in Computational Intelligence, 684, 684, 27-36, 2017, Liczba cytowań: 2
Interest point localization based on edge detection according to gestalt laws
Najgebauer P., Rutkowski L., Scherer R., Interest point localization based on edge detection according to gestalt laws, 2017 2nd IEEE International Conference on Computational Intelligence and Applications, ICCIA 2017, 2017-January, 2017-January, 349-353, 2017, Liczba cytowań: 2
The novel method of the estimation of the fourier transform based on noisy measurements
Galkowski T., Pawlak M., The novel method of the estimation of the fourier transform based on noisy measurements, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10246 LNAI, 10246 LNAI, 52-61, 2017, Liczba cytowań: 1
Parallel realizations of the iterative statistical reconstruction algorithm for 3D computed tomography
Cierniak R., Bilski J., Smolag J., Pluta P., Shah N., Parallel realizations of the iterative statistical reconstruction algorithm for 3D computed tomography, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10245 LNAI, 10245 LNAI, 473-484, 2017, Liczba cytowań: 1
A study of cluster validity indices for real-life data
Starczewski A., Krzyzak A., A study of cluster validity indices for real-life data, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10246 LNAI, 10246 LNAI, 148-158, 2017, Liczba cytowań: 1
A method for design of hardware emulators for a distributed network environment
Przybyl A., Er M.J., A method for design of hardware emulators for a distributed network environment, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10246 LNAI, 10246 LNAI, 318-336, 2017, Liczba cytowań: 1
Improving fuzzy systems interpretability by appropriate selection of their structure
Cpalka K., Improving fuzzy systems interpretability by appropriate selection of their structure, Studies in Computational Intelligence, 684, 684, 37-60, 2017, Liczba cytowań: 1
Concluding remarks and future perspectives
Cpalka K., Concluding remarks and future perspectives, Studies in Computational Intelligence, 684, 684, 191-193, 2017, Liczba cytowań: 0
Case study: Interpretability of fuzzy systems applied to identity verification
Cpalka K., Case study: Interpretability of fuzzy systems applied to identity verification, Studies in Computational Intelligence, 684, 684, 163-189, 2017, Liczba cytowań: 0
Environment Recognition based on Images using Bag-of-Words
Petraitis T., Maskeliunas R., Damasevicius R., Polap D., Wozniak M., Gabryel M., Environment Recognition based on Images using Bag-of-Words, International Joint Conference on Computational Intelligence, 1, 1, 166-176, 2017, Liczba cytowań: 0
Selected topics in fuzzy systems designing
Cpalka K., Selected topics in fuzzy systems designing, Studies in Computational Intelligence, 684, 684, 11-25, 2017, Liczba cytowań: 0
A new algorithm for online management of fuzzy rules base for nonlinear modeling
Lapa K., A new algorithm for online management of fuzzy rules base for nonlinear modeling, Advances in Intelligent Systems and Computing, 521, 521, 15-28, 2017, Liczba cytowań: 0
Narx neural network for prediction of refresh timeout in PIM–DM multicast routing
Vladymyrska N., Wrobel M., Starczewski J.T., Hnatushenko V., Narx neural network for prediction of refresh timeout in PIM–DM multicast routing, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10245 LNAI, 10245 LNAI, 199-205, 2017, Liczba cytowań: 0
Interpretability of fuzzy systems designed in the process of gradient learning
Cpalka K., Interpretability of fuzzy systems designed in the process of gradient learning, Studies in Computational Intelligence, 684, 684, 61-90, 2017, Liczba cytowań: 0
Introduction
Cpalka K., Introduction, Studies in Computational Intelligence, 684, 684, 1-10, 2017, Liczba cytowań: 0
Preface
Rutkowski L., Preface, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10246 LNAI, 10246 LNAI, V-VI, 2017, Liczba cytowań: 0
Preface
Rutkowski L., Preface, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10245 LNAI, 10245 LNAI, v-vi, 2017, Liczba cytowań: 0
Weighted fuzzy genetic programming algorithm for structure and parameters selection of fuzzy systems for nonlinear modelling
Lapa K., Cpalka K., Weighted fuzzy genetic programming algorithm for structure and parameters selection of fuzzy systems for nonlinear modelling, Advances in Intelligent Systems and Computing, 521, 521, 157-174, 2017, Liczba cytowań: 0

2016 (65)

Fast image classification by boosting fuzzy classifiers
Korytkowski M., Rutkowski L., Scherer R., Fast image classification by boosting fuzzy classifiers, Information Sciences, 327, 327, 175-182, 2016, Liczba cytowań: 141
A new algorithm for identity verification based on the analysis of a handwritten dynamic signature
Cpalka K., Zalasinski M., Rutkowski L., A new algorithm for identity verification based on the analysis of a handwritten dynamic signature, Applied Soft Computing Journal, 43, 43, 47-56, 2016, Liczba cytowań: 91
A new approach to nonlinear modelling of dynamic systems based on fuzzy rules
Bartczuk L., Przybyl A., Cpalka K., A new approach to nonlinear modelling of dynamic systems based on fuzzy rules, International Journal of Applied Mathematics and Computer Science, 26, 26, 603-621, 2016, Liczba cytowań: 36
An idea of the dynamic signature verification based on a hybrid approach
Zalasinski M., Cpalka K., Rakus-Andersson E., An idea of the dynamic signature verification based on a hybrid approach, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 9693, 9693, 232-246, 2016, Liczba cytowań: 28
New algorithm for on-line signature verification using characteristic hybrid partitions
Zalasinski M., Cpalka K., New algorithm for on-line signature verification using characteristic hybrid partitions, Advances in Intelligent Systems and Computing, 432, 432, 147-157, 2016, Liczba cytowań: 27
Responsive web design: Testing usability of mobile web applications
Bernacki J., Blazejczyk I., Indyka-Piasecka A., Kopel M., Kukla E., Trawinski B., Responsive web design: Testing usability of mobile web applications, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 9621, 9621, 257-269, 2016, Liczba cytowań: 24
Preprocessing large data sets by the use of quick sort algorithm
Wozniak M., Marszalek Z., Gabryel M., Nowicki R.K., Preprocessing large data sets by the use of quick sort algorithm, Advances in Intelligent Systems and Computing, 364, 364, 111-121, 2016, Liczba cytowań: 23
Gene expression programming in correction modelling of nonlinear dynamic objects
Bartczuk L., Gene expression programming in correction modelling of nonlinear dynamic objects, Advances in Intelligent Systems and Computing, 429, 429, 125-134, 2016, Liczba cytowań: 19
A method for automatic adjustment of ensemble size in stream data mining
Pietruczuk L., Rutkowski L., Jaworski M., Duda P., A method for automatic adjustment of ensemble size in stream data mining, Proceedings of the International Joint Conference on Neural Networks, 2016-October, 2016-October, 9-15, 2016, Liczba cytowań: 18
A new approach to the dynamic signature verification aimed at minimizing the number of global features
Zalasinski M., Cpalka K., Hayashi Y., A new approach to the dynamic signature verification aimed at minimizing the number of global features, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 9693, 9693, 218-231, 2016, Liczba cytowań: 18
Content-based image retrieval optimization by differential evolution
Grycuk R., Gabryel M., Nowicki R., Scherer R., Content-based image retrieval optimization by differential evolution, 2016 IEEE Congress on Evolutionary Computation, CEC 2016, 86-93, 2016, Liczba cytowań: 17
A bag-of-features algorithm for applications using a NoSQL database
Gabryel M., A bag-of-features algorithm for applications using a NoSQL database, Communications in Computer and Information Science, 639, 639, 332-343, 2016, Liczba cytowań: 17
Application of genetic algorithms in the construction of invertible substitution boxes
Kapuscinski T., Nowicki R.K., Napoli C., Application of genetic algorithms in the construction of invertible substitution boxes, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 9692, 9692, 380-391, 2016, Liczba cytowań: 16
An application of firefly algorithm to position traffic in NoSQL database systems
Wozniak M., Gabryel M., Nowicki R.K., Nowak B.A., An application of firefly algorithm to position traffic in NoSQL database systems, Advances in Intelligent Systems and Computing, 416, 416, 259-272, 2016, Liczba cytowań: 16
On the application of a hybrid genetic-firework algorithm for controllers structure and parameters selection
Lapa K., Cpalka K., On the application of a hybrid genetic-firework algorithm for controllers structure and parameters selection, Advances in Intelligent Systems and Computing, 429, 429, 111-123, 2016, Liczba cytowań: 16
A new method of the intelligent modeling of the nonlinear dynamic objects with fuzzy detection of the operating points
Dziwinski P., Avedyan E.D., A new method of the intelligent modeling of the nonlinear dynamic objects with fuzzy detection of the operating points, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 9693, 9693, 293-305, 2016, Liczba cytowań: 15
The bag-of-features algorithm for practical applications using the MySQL database
Gabryel M., The bag-of-features algorithm for practical applications using the MySQL database, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 9693, 9693, 635-646, 2016, Liczba cytowań: 15
New algorithm for on-line signature verification using characteristic global features
Zalasinski M., New algorithm for on-line signature verification using characteristic global features, Advances in Intelligent Systems and Computing, 432, 432, 137-146, 2016, Liczba cytowań: 14
Application of the givens rotations in the neural network learning algorithm
Bilski J., Kowalczyk B., Zurada J.M., Application of the givens rotations in the neural network learning algorithm, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 9692, 9692, 46-56, 2016, Liczba cytowań: 14
Application of rough sets in k nearest neighbours algorithm for classification of incomplete samples
Nowicki R.K., Nowak B.A., Wozniak M., Application of rough sets in k nearest neighbours algorithm for classification of incomplete samples, Advances in Intelligent Systems and Computing, 416, 416, 243-257, 2016, Liczba cytowań: 13
Parallel learning of feedforward neural networks without error backpropagation
Bilski J., Wilamowski B.M., Parallel learning of feedforward neural networks without error backpropagation, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 9692, 9692, 57-69, 2016, Liczba cytowań: 13
A modification of the Silhouette index for the improvement of cluster validity assessment
Starczewski A., Krzyzak A., A modification of the Silhouette index for the improvement of cluster validity assessment, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 9693, 9693, 114-124, 2016, Liczba cytowań: 13
Self organizing maps for 3D face understanding
Starczewski J.T., Pabiasz S., Vladymyrska N., Marvuglia A., Napoli C., Wozniak M., Self organizing maps for 3D face understanding, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 9693, 9693, 210-217, 2016, Liczba cytowań: 12
A new method for generating of fuzzy rules for the nonlinear modelling based on semantic genetic programming
Bartczuk L., Lapa K., Koprinkova-Hristova P., A new method for generating of fuzzy rules for the nonlinear modelling based on semantic genetic programming, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 9693, 9693, 262-278, 2016, Liczba cytowań: 12
Image descriptor based on edge detection and crawler algorithm
Grycuk R., Gabryel M., Scherer M., Voloshynovskiy S., Image descriptor based on edge detection and crawler algorithm, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 9693, 9693, 647-659, 2016, Liczba cytowań: 9
Estimating CPU features by browser fingerprinting
Saito T., Yasuda K., Ishikawa T., Hosoi R., Takahashi K., Chen Y., Zalasinski M., Estimating CPU features by browser fingerprinting, Proceedings - 2016 10th International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing, IMIS 2016, 587-592, 2016, Liczba cytowań: 9
The method of hardware implementation of fuzzy systems on FPGA
Przybyl A., Joo Er M., The method of hardware implementation of fuzzy systems on FPGA, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 9692, 9692, 284-298, 2016, Liczba cytowań: 9
Comparison of algebraic and analytical approaches to the formulation of the statistical model-based reconstruction problem for X-ray computed tomography
Cierniak R., Lorent A., Comparison of algebraic and analytical approaches to the formulation of the statistical model-based reconstruction problem for X-ray computed tomography, Computerized Medical Imaging and Graphics, 52, 52, 19-27, 2016, Liczba cytowań: 8
Usability testing of a mobile friendly web conference service
Blazejczyk I., Trawinski B., Indyka-Piasecka A., Kopel M., Kukla E., Bernacki J., Usability testing of a mobile friendly web conference service, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 9875 LNCS, 9875 LNCS, 565-579, 2016, Liczba cytowań: 8
Hybrid splitting criterion in decision trees for data stream mining
Jaworski M., Rutkowski L., Pawlak M., Hybrid splitting criterion in decision trees for data stream mining, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 9693, 9693, 60-72, 2016, Liczba cytowań: 7
Nonparametric estimation of edge values of regression functions
Galkowski T., Pawlak M., Nonparametric estimation of edge values of regression functions, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 9693, 9693, 49-59, 2016, Liczba cytowań: 7
Iron Doped SBA-15 Mesoporous Silica Studied by Mössbauer Spectroscopy
Laskowski ., Laskowska M., Jelonkiewicz J., Galkowski T., Pawlik P., Piech H., Doskocz M., Iron Doped SBA-15 Mesoporous Silica Studied by Mössbauer Spectroscopy, Journal of Nanomaterials, 2016, 2016, 2016, Liczba cytowań: 7
Aspects of evolutionary construction of new flexible PID-fuzzy controller
Lapa K., Szczypta J., Saito T., Aspects of evolutionary construction of new flexible PID-fuzzy controller, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 9692, 9692, 450-464, 2016, Liczba cytowań: 6
A new approach for using the fuzzy decision trees for the detection of the significant operating points in the nonlinear modeling
Dziwinski P., Avedyan E.D., A new approach for using the fuzzy decision trees for the detection of the significant operating points in the nonlinear modeling, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 9693, 9693, 279-292, 2016, Liczba cytowań: 6
Transient solution for queueing delay distribution in the GI/M/1/K-type mode with “queued” waking up and balking
Kempa W.M., Wozniak M., Nowicki R.K., Gabryel M., Damasevicius R., Transient solution for queueing delay distribution in the GI/M/1/K-type mode with “queued” waking up and balking, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 9693, 9693, 340-351, 2016, Liczba cytowań: 6
Adaptation of deep belief networks to modern multicore architectures
Olas T., Mleczko W.K., Nowicki R.K., Wyrzykowski R., Adaptation of deep belief networks to modern multicore architectures, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 9573, 9573, 459-472, 2016, Liczba cytowań: 5
Novel rough neural network for classification with missing data
Nowicki R.K., Scherer R., Rutkowski L., Novel rough neural network for classification with missing data, 2016 21st International Conference on Methods and Models in Automation and Robotics, MMAR 2016, 820-825, 2016, Liczba cytowań: 5
A new method for generating nonlinear correction models of dynamic objects based on semantic genetic programming
Bartczuk L., Galushkin A.I., A new method for generating nonlinear correction models of dynamic objects based on semantic genetic programming, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 9693, 9693, 249-261, 2016, Liczba cytowań: 5
New method for fuzzy nonlinear modelling based on genetic programming
Lapa K., Cpalka K., Koprinkova-Hristova P., New method for fuzzy nonlinear modelling based on genetic programming, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 9692, 9692, 432-449, 2016, Liczba cytowań: 5
Method of evolutionary designing of FPGA-based controllers
Przybyl A., Szczypta J., Method of evolutionary designing of FPGA-based controllers, Przeglad Elektrotechniczny, 92, 92, 174-179, 2016, Liczba cytowań: 5
Query-by-example image retrieval in Microsoft SQL server
Staszewski P., Woldan P., Korytkowski M., Scherer R., Wang L., Query-by-example image retrieval in Microsoft SQL server, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 9693, 9693, 746-754, 2016, Liczba cytowań: 4
The concept of molecular neurons
Laskowski L., Laskowska M., Piech H., Galkowski T., Boullanger A., The concept of molecular neurons, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 9693, 9693, 494-501, 2016, Liczba cytowań: 4
Nonlinear pattern classification using fuzzy system and hybrid genetic-imperialist algorithm
Lapa K., Cpalka K., Nonlinear pattern classification using fuzzy system and hybrid genetic-imperialist algorithm, Advances in Intelligent Systems and Computing, 432, 432, 159-171, 2016, Liczba cytowań: 4
A new approach to designing of intelligent emulators working in a distributed environment
Przybyl A., Er M.J., A new approach to designing of intelligent emulators working in a distributed environment, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 9693, 9693, 546-558, 2016, Liczba cytowań: 4
The method of the evolutionary designing the elastic controller structure
Przybyl A., Lapa K., Szczypta J., Wang L., The method of the evolutionary designing the elastic controller structure, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 9692, 9692, 476-492, 2016, Liczba cytowań: 3
A new proposition of the activation function for significant improvement of neural networks performance
Bilski J., Galushkin A.I., A new proposition of the activation function for significant improvement of neural networks performance, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 9692, 9692, 35-45, 2016, Liczba cytowań: 3
Predicting success of bank direct marketing by neuro-fuzzy systems
Scherer M., Smolag J., Gaweda A., Predicting success of bank direct marketing by neuro-fuzzy systems, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 9693, 9693, 570-576, 2016, Liczba cytowań: 3
New approach for interpretability of neuro-fuzzy systems with parametrized triangular norms
Lapa K., Cpalka K., Wang L., New approach for interpretability of neuro-fuzzy systems with parametrized triangular norms, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 9692, 9692, 248-265, 2016, Liczba cytowań: 3
Color-based large-scale image retrieval with limited hardware resources
Lagiewka M., Scherer R., Angryk R., Color-based large-scale image retrieval with limited hardware resources, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 9693, 9693, 689-699, 2016, Liczba cytowań: 2
Neural video compression based on surf scene change detection algorithm
Grycuk R., Knop M., Neural video compression based on surf scene change detection algorithm, Advances in Intelligent Systems and Computing, 389, 389, 105-112, 2016, Liczba cytowań: 2
A novel convolutional neural network with glial cells
Korytkowski M., A novel convolutional neural network with glial cells, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 9693, 9693, 670-679, 2016, Liczba cytowań: 2
Novel image descriptor based on color spatial distribution
Najgebauer P., Korytkowski M., Barranco C.D., Scherer R., Novel image descriptor based on color spatial distribution, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 9693, 9693, 712-722, 2016, Liczba cytowań: 2
Rough restricted Boltzmann machine -New architecture for incomplete input data
Mleczko W.K., Nowicki R.K., Angryk R., Rough restricted Boltzmann machine -New architecture for incomplete input data, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 9692, 9692, 114-125, 2016, Liczba cytowań: 2
Fast computing framework for convolutional neural networks
Korytkowski M., Staszewski P., Woldan P., Scherer R., Fast computing framework for convolutional neural networks, Proceedings - 2016 IEEE International Conferences on Big Data and Cloud Computing, BDCloud 2016, Social Computing and Networking, SocialCom 2016 and Sustainable Computing and Communications, SustainCom 2016, 118-123, 2016, Liczba cytowań: 2
On the Cesàro-means-based orthogonal series approach to learning time-varying regression functions
Duda P., Pietruczuk L., Jaworski M., Krzyzak A., On the Cesàro-means-based orthogonal series approach to learning time-varying regression functions, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 9693, 9693, 37-48, 2016, Liczba cytowań: 2
New approach for nonlinear modelling based on online designing of the fuzzy rule base
Lapa K., Cpalka K., Hayashi Y., New approach for nonlinear modelling based on online designing of the fuzzy rule base, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 9692, 9692, 230-247, 2016, Liczba cytowań: 1
RFID security: A method for tracking prevention
Bernacki J., Kolaczek G., RFID security: A method for tracking prevention, Communications in Computer and Information Science, 659, 659, 241-249, 2016, Liczba cytowań: 1
On the application of orthogonal series density estimation for image classification based on feature description
Duda P., Jaworski M., Pietruczuk L., Korytkowski M., Gabryel M., Scherer R., On the application of orthogonal series density estimation for image classification based on feature description, Advances in Intelligent Systems and Computing, 364, 364, 529-540, 2016, Liczba cytowań: 1
Aspects of structure selection and parameters tuning of control systems using hybrid genetic-fruit fly algorithm
Szczypta J., Lapa K., Aspects of structure selection and parameters tuning of control systems using hybrid genetic-fruit fly algorithm, Advances in Intelligent Systems and Computing, 429, 429, 101-110, 2016, Liczba cytowań: 0
Artificial intelligence and soft computing: 15th international conference, ICAISC 2016 Zakopane, Poland, June 12-16, 2016 proceedings, Part I
Rutkowski L., Korytkowski M., Scherer R., Tadeusiewicz R., Zadeh L.A., Zurada J.M., Artificial intelligence and soft computing: 15th international conference, ICAISC 2016 Zakopane, Poland, June 12-16, 2016 proceedings, Part I, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 9692, 9692, 2016, Liczba cytowań: 0
Preface
Rutkowski L., Preface, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 9692, 9692, V-VI, 2016, Liczba cytowań: 0
Analytical statistical approach for fan-beam scanners
Cierniak R., Analytical statistical approach for fan-beam scanners, Advances in Intelligent Systems and Computing, 471, 471, 231-243, 2016, Liczba cytowań: 0
Fast image search by trees of keypoint descriptors
Najgebauer P., Scherer R., Fast image search by trees of keypoint descriptors, Advances in Intelligent Systems and Computing, 364, 364, 541-552, 2016, Liczba cytowań: 0
Regularization methods for the analytical statistical reconstruction problem in medical computed tomography
Cierniak R., Lorent A., Pluta P., Shah N., Regularization methods for the analytical statistical reconstruction problem in medical computed tomography, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 9693, 9693, 147-158, 2016, Liczba cytowań: 0
Preface
Rutkowski L., Preface, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 9693, 9693, V-VI, 2016, Liczba cytowań: 0

2015 (42)

A new method for data stream mining based on the misclassification error
Rutkowski L., Jaworski M., Pietruczuk L., Duda P., A new method for data stream mining based on the misclassification error, IEEE Transactions on Neural Networks and Learning Systems, 26, 26, 1048-1059, 2015, Liczba cytowań: 103
Performance evaluation of the silhouette index
Starczewski A., Krzyzak A., Performance evaluation of the silhouette index, Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science), 9120, 9120, 49-58, 2015, Liczba cytowań: 70
A new approach to design of control systems using genetic programming
Cpalka K., Lapa K., Przybyl A., A new approach to design of control systems using genetic programming, Information Technology and Control, 44, 44, 433-442, 2015, Liczba cytowań: 40
Can we process 2D images using artificial bee colony?
Wozniak M., Polap D., Gabryel M., Nowicki R.K., Napoli C., Tramontana E., Can we process 2D images using artificial bee colony?, Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science), 9119, 9119, 660-671, 2015, Liczba cytowań: 39
Multi-class nearest neighbour classifier for incomplete data handling
Nowak B.A., Nowicki R.K., Wozniak M., Napoli C., Multi-class nearest neighbour classifier for incomplete data handling, Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science), 9119, 9119, 469-480, 2015, Liczba cytowań: 39
Parallel Architectures for Learning the RTRN and Elman Dynamic Neural Networks
Bilski J., Smolag J., Parallel Architectures for Learning the RTRN and Elman Dynamic Neural Networks, IEEE Transactions on Parallel and Distributed Systems, 26, 26, 2561-2570, 2015, Liczba cytowań: 39
Toward work groups classification based on probabilistic neural network approach
Napoli C., Pappalardo G., Tramontana E., Nowicki R.K., Starczewski J.T., Wozniak M., Toward work groups classification based on probabilistic neural network approach, Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science), 9119, 9119, 79-89, 2015, Liczba cytowań: 38
A multiscale image compressor with RBFNN and Discrete Wavelet decomposition
Wozniak M., Napoli C., Tramontana E., Capizzi G., Lo Sciuto G., Nowicki R.K., Starczewski J.T., A multiscale image compressor with RBFNN and Discrete Wavelet decomposition, Proceedings of the International Joint Conference on Neural Networks, 2015-September, 2015-September, 2015, Liczba cytowań: 38
Novel approach toward medical signals classifier
Wozniak M., Polap D., Nowicki R.K., Napoli C., Pappalardo G., Tramontana E., Novel approach toward medical signals classifier, Proceedings of the International Joint Conference on Neural Networks, 2015-September, 2015-September, 2015, Liczba cytowań: 38
New fast algorithm for the dynamic signature verification using global features values
Zalasinski M., Cpalka K., Hayashi Y., New fast algorithm for the dynamic signature verification using global features values, Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science), 9120, 9120, 175-188, 2015, Liczba cytowań: 34
Parallel approach to the Levenberg-marquardt learning algorithm for feedforward neural networks
Bilski J., Smolag J., Zurada J.M., Parallel approach to the Levenberg-marquardt learning algorithm for feedforward neural networks, Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science), 9119, 9119, 3-14, 2015, Liczba cytowań: 23
Aspects of structure and parameters selection of control systems using selected multi-population algorithms
Lapa K., Szczypta J., Venkatesan R., Aspects of structure and parameters selection of control systems using selected multi-population algorithms, Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science), 9120, 9120, 247-260, 2015, Liczba cytowań: 20
Multi-layer architecture for storing visual data based on WCF and microsoft SQL server database
Grycuk R., Gabryel M., Scherer R., Voloshynovskiy S., Multi-layer architecture for storing visual data based on WCF and microsoft SQL server database, Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science), 9119, 9119, 715-726, 2015, Liczba cytowań: 19
An application of differential evolution to positioning queueing systems
Gabryel M., Wozniak M., Damasevicius R., An application of differential evolution to positioning queueing systems, Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science), 9120, 9120, 379-390, 2015, Liczba cytowań: 19
A new approach to nonlinear modeling based on significant operating points detection
Dziwinski P., Avedyan E.D., A new approach to nonlinear modeling based on significant operating points detection, Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science), 9120, 9120, 364-378, 2015, Liczba cytowań: 19
Rough deep belief network - application to incomplete handwritten digits pattern classification
Mleczko W.K., Kapuscinski T., Nowicki R.K., Rough deep belief network - application to incomplete handwritten digits pattern classification, Communications in Computer and Information Science, 538, 538, 400-411, 2015, Liczba cytowań: 18
Image indexing and retrieval using GSOM algorithm
Gabryel M., Grycuk R., Korytkowski M., Holotyak T., Image indexing and retrieval using GSOM algorithm, Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science), 9119, 9119, 706-714, 2015, Liczba cytowań: 17
A new method for the dynamic signature verification based on the stable partitions of the signature
Zalasinski M., Cpalka K., Er M.J., A new method for the dynamic signature verification based on the stable partitions of the signature, Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science), 9120, 9120, 161-174, 2015, Liczba cytowań: 16
A new interpretability criteria for neuro-fuzzy systems for nonlinear classification
Lapa K., Cpalka K., Galushkin A.I., A new interpretability criteria for neuro-fuzzy systems for nonlinear classification, Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science), 9119, 9119, 448-468, 2015, Liczba cytowań: 12
Bag-of-features image indexing and classification in microsoft SQL server relational database
Korytkowski M., Scherer R., Staszewski P., Woldan P., Bag-of-features image indexing and classification in microsoft SQL server relational database, Proceedings - 2015 IEEE 2nd International Conference on Cybernetics, CYBCONF 2015, 478-482, 2015, Liczba cytowań: 10
Video key frame detection based on SURF algorithm
Grycuk R., Knop M., Mandal S., Video key frame detection based on SURF algorithm, Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science), 9119, 9119, 566-576, 2015, Liczba cytowań: 10
New method for non-linear correction modelling of dynamic objects with genetic programming
Bartczuk L., Przybyl A., Koprinkova-Hristova P., New method for non-linear correction modelling of dynamic objects with genetic programming, Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science), 9120, 9120, 318-329, 2015, Liczba cytowań: 9
Adaptation of RBM learning for intel MIC architecture
Olas T., Mleczko W.K., Nowicki R.K., Wyrzykowski R., Krzyzak A., Adaptation of RBM learning for intel MIC architecture, Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science), 9119, 9119, 90-101, 2015, Liczba cytowań: 7
SOM vs FCM vs PCA in 3D face recognition
Pabiasz S., Starczewski J.T., Marvuglia A., SOM vs FCM vs PCA in 3D face recognition, Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science), 9120, 9120, 120-129, 2015, Liczba cytowań: 6
Neural Video Compression Algorithm
Knop M., Dobosz P., Neural Video Compression Algorithm, Advances in Intelligent Systems and Computing, 313 AISC, 313 AISC, 59-66, 2015, Liczba cytowań: 5
Design methodology for rough neuro-fuzzy classification with missing data
Nowicki R.K., Korytkowski M., Nowak B.A., Scherer R., Design methodology for rough neuro-fuzzy classification with missing data, Proceedings - 2015 IEEE Symposium Series on Computational Intelligence, SSCI 2015, 1650-1657, 2015, Liczba cytowań: 5
The comparison of creating homogeneous and heterogeneous collaborative learning groups in intelligent tutoring systems
Bernacki J., Kozierkiewicz-HetmaNska A., The comparison of creating homogeneous and heterogeneous collaborative learning groups in intelligent tutoring systems, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 9011, 9011, 46-55, 2015, Liczba cytowań: 5
Improvement of the multiple-view learning based on the self-organizing maps
Galkowski T., Starczewski A., Fu X., Improvement of the multiple-view learning based on the self-organizing maps, Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science), 9120, 9120, 3-12, 2015, Liczba cytowań: 4
Orthogonal series estimation of regression functions in nonstationary conditions
Galkowski T., Pawlak M., Orthogonal series estimation of regression functions in nonstationary conditions, Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science), 9119, 9119, 427-435, 2015, Liczba cytowań: 3
Secure representation of images using multi-layer compression
Ferdowsi S., Voloshynovskiy S., Kostadinov D., Korytkowski M., Scherer R., Secure representation of images using multi-layer compression, Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science), 9119, 9119, 696-705, 2015, Liczba cytowań: 3
Computed Tomography Images Denoising with Markov Random Field Model Parametrized by Prewitt Mask
Knas M., Cierniak R., Computed Tomography Images Denoising with Markov Random Field Model Parametrized by Prewitt Mask, Advances in Intelligent Systems and Computing, 313 AISC, 313 AISC, 53-58, 2015, Liczba cytowań: 2
Efficient bone detector and geometric descriptor for x-ray imaging
Romanowski J., Korytkowski M., Scherer R., Efficient bone detector and geometric descriptor for x-ray imaging, Proceedings - 2015 IEEE Symposium Series on Computational Intelligence, SSCI 2015, 1337-1342, 2015, Liczba cytowań: 2
Fast dictionary matching for content-based image retrieval
Najgebauer P., Rygal J., Nowak T., Romanowski J., Rutkowski L., Voloshynovskiy S., Scherer R., Fast dictionary matching for content-based image retrieval, Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science), 9119, 9119, 747-756, 2015, Liczba cytowań: 2
Optimization of controller structure using evolutionary algorithm
Przybyl A., Szczypta J., Wang L., Optimization of controller structure using evolutionary algorithm, Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science), 9120, 9120, 261-271, 2015, Liczba cytowań: 2
Customization of joint articulations using soft computing methods
Szarek A., Korytkowski M., Rutkowski L., Scherer M., Szyprowski J., Kostadinov D., Customization of joint articulations using soft computing methods, Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science), 9120, 9120, 151-160, 2015, Liczba cytowań: 1
Supervised transform learning for face recognition
Kostadinov D., Voloshynovskiy S., Ferdowsi S., Diephuis M., Scherer R., Supervised transform learning for face recognition, Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science), 9119, 9119, 737-746, 2015, Liczba cytowań: 1
A conception for use of user profile to prediction learning effects in Intelligent Tutoring Systems
Kozierkiewicz-Hetmanska A., Bernacki J., A conception for use of user profile to prediction learning effects in Intelligent Tutoring Systems, Proceedings - 2015 IEEE 2nd International Conference on Cybernetics, CYBCONF 2015, 97-101, 2015, Liczba cytowań: 1
Preface
Rutkowski L., Preface, Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science), 9119, 9119, V-VII, 2015, Liczba cytowań: 0
An edge detection using 2D Gaussian function in computed tomography
Knas M., Cierniak R., Rebrova O., An edge detection using 2D Gaussian function in computed tomography, Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science), 9119, 9119, 586-593, 2015, Liczba cytowań: 0
Preface
Rutkowski L., Preface, Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science), 9120, 9120, V-VII, 2015, Liczba cytowań: 0
Modeling Learning Group's Communication in Intelligent Tutoring Systems
Kozierkiewicz-Hetmanska A., Bernacki J., Modeling Learning Group's Communication in Intelligent Tutoring Systems, Proceedings - 2nd European Network Intelligence Conference, ENIC 2015, 140-144, 2015, Liczba cytowań: 0
Software framework for modular machine learning systems
Korytkowski M., Scherer M., Ferdowsi S., Software framework for modular machine learning systems, Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science), 9120, 9120, 760-767, 2015, Liczba cytowań: 0

2014 (43)

The CART decision tree for mining data streams
Rutkowski L., Jaworski M., Pietruczuk L., Duda P., The CART decision tree for mining data streams, Information Sciences, 266, 266, 1-15, 2014, Liczba cytowań: 267
Decision trees for mining data streams based on the gaussian approximation
Rutkowski L., Jaworski M., Pietruczuk L., Duda P., Decision trees for mining data streams based on the gaussian approximation, IEEE Transactions on Knowledge and Data Engineering, 26, 26, 108-119, 2014, Liczba cytowań: 143
On-line signature verification using vertical signature partitioning
Cpalka K., Zalasinski M., On-line signature verification using vertical signature partitioning, Expert Systems with Applications, 41, 41, 4170-4180, 2014, Liczba cytowań: 88
New method for the on-line signature verification based on horizontal partitioning
Cpalka K., Zalasinski M., Rutkowski L., New method for the on-line signature verification based on horizontal partitioning, Pattern Recognition, 47, 47, 2652-2661, 2014, Liczba cytowań: 85
A new method for designing neuro-fuzzy systems for nonlinear modelling with interpretability aspects
Cpalka K., Lapa K., Przybyl A., Zalasinski M., A new method for designing neuro-fuzzy systems for nonlinear modelling with interpretability aspects, Neurocomputing, 135, 135, 203-217, 2014, Liczba cytowań: 82
A finite-buffer queue with a single vacation policy: An analytical study with evolutionary positioning
Wozniak M., Kempa W.M., Gabryel M., Nowicki R.K., A finite-buffer queue with a single vacation policy: An analytical study with evolutionary positioning, International Journal of Applied Mathematics and Computer Science, 24, 24, 887-900, 2014, Liczba cytowań: 46
New method for design of fuzzy systems for nonlinear modelling using different criteria of interpretability
Lapa K., Cpalka K., Wang L., New method for design of fuzzy systems for nonlinear modelling using different criteria of interpretability, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8467 LNAI, 8467 LNAI, 217-232, 2014, Liczba cytowań: 39
Centroid of triangular and Gaussian type-2 fuzzy sets
Starczewski J.T., Centroid of triangular and Gaussian type-2 fuzzy sets, Information Sciences, 280, 280, 289-306, 2014, Liczba cytowań: 38
New method for dynamic signature verification based on global features
Zalasinski M., Cpalka K., Hayashi Y., New method for dynamic signature verification based on global features, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8468 LNAI, 8468 LNAI, 231-245, 2014, Liczba cytowań: 36
A new algorithm for identification of significant operating points using swarm intelligence
Dziwinski P., Bartczuk L., Przybyl A., Avedyan E.D., A new algorithm for identification of significant operating points using swarm intelligence, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8468 LNAI, 8468 LNAI, 349-362, 2014, Liczba cytowań: 33
New method for dynamic signature verification using hybrid partitioning
Zalasinski M., Cpalka K., Er M.J., New method for dynamic signature verification using hybrid partitioning, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8468 LNAI, 8468 LNAI, 216-230, 2014, Liczba cytowań: 33
From single image to list of objects based on edge and blob detection
Grycuk R., Gabryel M., Korytkowski M., Scherer R., Voloshynovskiy S., From single image to list of objects based on edge and blob detection, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8468 LNAI, 8468 LNAI, 605-615, 2014, Liczba cytowań: 32
On applying evolutionary computation methods to optimization of vacation cycle costs in finite-buffer queue
Wozniak M., Kempa W.M., Gabryel M., Nowicki R.K., Shao Z., On applying evolutionary computation methods to optimization of vacation cycle costs in finite-buffer queue, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8467 LNAI, 8467 LNAI, 480-491, 2014, Liczba cytowań: 32
The parallel approach to the conjugate gradient learning algorithm for the feedforward neural networks
Bilski J., Smolag J., Galushkin A.I., The parallel approach to the conjugate gradient learning algorithm for the feedforward neural networks, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8467 LNAI, 8467 LNAI, 12-21, 2014, Liczba cytowań: 27
Content-Based Image Indexing by Data Clustering and Inverse Document Frequency
Grycuk R., Gabryel M., Korytkowski M., Scherer R., Content-Based Image Indexing by Data Clustering and Inverse Document Frequency, Communications in Computer and Information Science, 424, 424, 374-383, 2014, Liczba cytowań: 26
New method for nonlinear fuzzy correction modelling of dynamic objects
Bartczuk L., Przybyl A., Koprinkova-Hristova P., New method for nonlinear fuzzy correction modelling of dynamic objects, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8467 LNAI, 8467 LNAI, 169-180, 2014, Liczba cytowań: 26
An analytical iterative statistical algorithm for image reconstruction from projections
Cierniak R., An analytical iterative statistical algorithm for image reconstruction from projections, International Journal of Applied Mathematics and Computer Science, 24, 24, 7-17, 2014, Liczba cytowań: 17
Aspects of the selection of the structure and parameters of controllers using selected population based algorithms
Szczypta J., Lapa K., Shao Z., Aspects of the selection of the structure and parameters of controllers using selected population based algorithms, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8467 LNAI, 8467 LNAI, 440-454, 2014, Liczba cytowań: 17
A novel application of Hoeffding's inequality to decision trees construction for data streams
Duda P., Jaworski M., Pietruczuk L., Rutkowski L., A novel application of Hoeffding's inequality to decision trees construction for data streams, Proceedings of the International Joint Conference on Neural Networks, 3324-3330, 2014, Liczba cytowań: 16
Improved digital image segmentation based on stereo vision and mean shift algorithm
Grycuk R., Gabryel M., Korytkowski M., Romanowski J., Scherer R., Improved digital image segmentation based on stereo vision and mean shift algorithm, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8384 LNCS, 8384 LNCS, 433-443, 2014, Liczba cytowań: 13
The idea for the integration of neuro-fuzzy hardware emulators with real-time network
Przybyl A., Er M.J., The idea for the integration of neuro-fuzzy hardware emulators with real-time network, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8467 LNAI, 8467 LNAI, 279-294, 2014, Liczba cytowań: 12
The Parzen kernel approach to learning in non-stationary environment
Pietruczuk L., Rutkowski L., Jaworski M., Duda P., The Parzen kernel approach to learning in non-stationary environment, Proceedings of the International Joint Conference on Neural Networks, 3319-3323, 2014, Liczba cytowań: 12
Evolutionary approach with multiple quality criteria for controller design
Szczypta J., Przybyl A., Wang L., Evolutionary approach with multiple quality criteria for controller design, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8467 LNAI, 8467 LNAI, 455-467, 2014, Liczba cytowań: 12
The learning of neuro-fuzzy approximator with fuzzy rough sets in case of missing features
Nowicki R.K., Nowak B.A., Starczewski J.T., Cpalka K., The learning of neuro-fuzzy approximator with fuzzy rough sets in case of missing features, Proceedings of the International Joint Conference on Neural Networks, 3759-3766, 2014, Liczba cytowań: 10
The learning of neuro-fuzzy classifier with fuzzy rough sets for imprecise datasets
Nowak B.A., Nowicki R.K., Starczewski J.T., Marvuglia A., The learning of neuro-fuzzy classifier with fuzzy rough sets for imprecise datasets, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8467 LNAI, 8467 LNAI, 256-266, 2014, Liczba cytowań: 10
Nonparametric function fitting in the presence of nonstationary noise
Galkowski T., Pawlak M., Nonparametric function fitting in the presence of nonstationary noise, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8467 LNAI, 8467 LNAI, 531-538, 2014, Liczba cytowań: 9
Genetic fuzzy classifier with fuzzy rough sets for imprecise data
Starczewski J.T., Nowicki R.K., Nowak B.A., Genetic fuzzy classifier with fuzzy rough sets for imprecise data, IEEE International Conference on Fuzzy Systems, 1382-1389, 2014, Liczba cytowań: 8
Video compression algorithm based on neural network structures
Knop M., Cierniak R., Shah N., Video compression algorithm based on neural network structures, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8467 LNAI, 8467 LNAI, 715-724, 2014, Liczba cytowań: 7
A new three-dimensional facial landmarks in recognition
Pabiasz S., Starczewski J.T., Marvuglia A., A new three-dimensional facial landmarks in recognition, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8468 LNAI, 8468 LNAI, 179-186, 2014, Liczba cytowań: 7
Nonparametric extension of regression functions outside domain
Galkowski T., Pawlak M., Nonparametric extension of regression functions outside domain, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8467 LNAI, 8467 LNAI, 518-530, 2014, Liczba cytowań: 6
Content-based image retrieval by dictionary of local feature descriptors
Najgebauer P., Nowak T., Romanowski J., Gabryel M., Korytkowski M., Scherer R., Content-based image retrieval by dictionary of local feature descriptors, Proceedings of the International Joint Conference on Neural Networks, 512-517, 2014, Liczba cytowań: 5
Creating collaborative learning groups in intelligent tutoring systems
Bernacki J., Kozierkiewicz-Hetmanska A., Creating collaborative learning groups in intelligent tutoring systems, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8671, 8671, 184-193, 2014, Liczba cytowań: 5
Spatial keypoint representation for visual object retrieval
Nowak T., Najgebauer P., Romanowski J., Gabryel M., Korytkowski M., Scherer R., Kostadinov D., Spatial keypoint representation for visual object retrieval, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8468 LNAI, 8468 LNAI, 639-650, 2014, Liczba cytowań: 4
Regularized Image Reconstruction from Projections Method
Lorent A., Cierniak R., Regularized Image Reconstruction from Projections Method, Proceedings - 2014 International Conference on Engineering and Telecommunication, EnT 2014, 82-86, 2014, Liczba cytowań: 3
Comparing images based on histograms of local interest points
Nowak T., Gabryel M., Korytkowski M., Scherer R., Comparing images based on histograms of local interest points, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8384 LNCS, 8384 LNCS, 423-432, 2014, Liczba cytowań: 3
Ultrafast iterative model-based statistical 3d reconstruction algorithm for x-ray computed tomography
Cierniak R., Knas M., Ultrafast iterative model-based statistical 3d reconstruction algorithm for x-ray computed tomography, Advances in Intelligent Systems and Computing, 283, 283, 187-196, 2014, Liczba cytowań: 2
Robust face recognition by group sparse representation that uses samples from list of subjects
Kostadinov D., Voloshynovskiy S., Ferdowsi S., Diephuis M., Scherer R., Robust face recognition by group sparse representation that uses samples from list of subjects, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8468 LNAI, 8468 LNAI, 616-626, 2014, Liczba cytowań: 2
Multi-class classification: A coding based space partitioning
Ferdowsi S., Voloshynovskiy S., Gabryel M., Korytkowski M., Multi-class classification: A coding based space partitioning, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8468 LNAI, 8468 LNAI, 593-604, 2014, Liczba cytowań: 2
Novel algorithm for translation from image content to semantic form
Rygal J., Romanowski J., Scherer R., Ferdowsi S., Novel algorithm for translation from image content to semantic form, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8467 LNAI, 8467 LNAI, 783-792, 2014, Liczba cytowań: 1
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics): Preface
Rutkowski L., Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics): Preface, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8467 LNAI, 8467 LNAI, 2014, Liczba cytowań: 1
A new image reconstruction from projections algorithm
Lorent A., Cierniak R., Dobosz P., Rebrova O., A new image reconstruction from projections algorithm, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8467 LNAI, 8467 LNAI, 725-732, 2014, Liczba cytowań: 1
A modification of the parallel spline interpolation algorithms
Knas M., Cierniak R., A modification of the parallel spline interpolation algorithms, Advances in Intelligent Systems and Computing, 233, 233, 185-190, 2014, Liczba cytowań: 0
Using of EM algorithm to image reconstruction problem with tomography noises
Dobosz P., Cierniak R., Using of EM algorithm to image reconstruction problem with tomography noises, Advances in Intelligent Systems and Computing, 233, 233, 37-43, 2014, Liczba cytowań: 0

2013 (25)

Decision trees for mining data streams based on the mcdiarmid's bound
Rutkowski L., Pietruczuk L., Duda P., Jaworski M., Decision trees for mining data streams based on the mcdiarmid's bound, IEEE Transactions on Knowledge and Data Engineering, 25, 25, 1272-1279, 2013, Liczba cytowań: 168
On design of flexible neuro-fuzzy systems for nonlinear modelling
Cpalka K., Rebrova O., Nowicki R., Rutkowski L., On design of flexible neuro-fuzzy systems for nonlinear modelling, International Journal of General Systems, 42, 42, 706-720, 2013, Liczba cytowań: 67
A new approach to designing interpretable models of dynamic systems
Lapa K., Przybyl A., Cpalka K., A new approach to designing interpretable models of dynamic systems, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7895 LNAI, 7895 LNAI, 523-534, 2013, Liczba cytowań: 46
Novel algorithm for the on-line signature verification using selected discretization points groups
Zalasinski M., Cpalka K., Novel algorithm for the on-line signature verification using selected discretization points groups, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7894 LNAI, 7894 LNAI, 493-502, 2013, Liczba cytowań: 40
New approach for the on-line signature verification based on method of horizontal partitioning
Zalasinski M., Cpalka K., New approach for the on-line signature verification based on method of horizontal partitioning, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7895 LNAI, 7895 LNAI, 342-350, 2013, Liczba cytowań: 39
New algorithm for evolutionary selection of the dynamic signature global features
Zalasinski M., Lapa K., Cpalka K., New algorithm for evolutionary selection of the dynamic signature global features, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7895 LNAI, 7895 LNAI, 113-121, 2013, Liczba cytowań: 38
A new method for designing and complexity reduction of neuro-fuzzy systems for nonlinear modelling
Lapa K., Zalasinski M., Cpalka K., A new method for designing and complexity reduction of neuro-fuzzy systems for nonlinear modelling, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7894 LNAI, 7894 LNAI, 329-344, 2013, Liczba cytowań: 38
Some aspects of evolutionary designing optimal controllers
Szczypta J., Przybyl A., Cpalka K., Some aspects of evolutionary designing optimal controllers, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7895 LNAI, 7895 LNAI, 91-100, 2013, Liczba cytowań: 36
Genetic cost optimization of the GI/M/1/N finite-buffer queue with a single vacation policy
Gabryel M., Nowicki R.K., Wozniak M., Kempa W.M., Genetic cost optimization of the GI/M/1/N finite-buffer queue with a single vacation policy, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7895 LNAI, 7895 LNAI, 12-23, 2013, Liczba cytowań: 29
Modified merge sort algorithm for large scale data sets
Wozniak M., Marszalek Z., Gabryel M., Nowicki R.K., Modified merge sort algorithm for large scale data sets, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7895 LNAI, 7895 LNAI, 612-622, 2013, Liczba cytowań: 28
Parallel approach to learning of the recurrent Jordan neural network
Bilski J., Smolag J., Parallel approach to learning of the recurrent Jordan neural network, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7894 LNAI, 7894 LNAI, 32-40, 2013, Liczba cytowań: 27
Object detection by simple fuzzy classifiers generated by boosting
Gabryel M., Korytkowski M., Scherer R., Rutkowski L., Object detection by simple fuzzy classifiers generated by boosting, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7894 LNAI, 7894 LNAI, 540-547, 2013, Liczba cytowań: 24
Adaptation of decision trees for handling concept drift
Pietruczuk L., Duda P., Jaworski M., Adaptation of decision trees for handling concept drift, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7894 LNAI, 7894 LNAI, 459-473, 2013, Liczba cytowań: 22
Advanced concepts in fuzzy logic and systems with membership uncertainty
Starczewski J.T., Advanced concepts in fuzzy logic and systems with membership uncertainty, Studies in Fuzziness and Soft Computing, 284, 284, 1-319, 2013, Liczba cytowań: 19
Hybrid state variables - Fuzzy logic modelling of nonlinear objects
Bartczuk L., Przybyl A., Dziwinski P., Hybrid state variables - Fuzzy logic modelling of nonlinear objects, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7894 LNAI, 7894 LNAI, 227-234, 2013, Liczba cytowań: 19
Kernel estimation of regression functions in the boundary regions
Galkowski T., Kernel estimation of regression functions in the boundary regions, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7895 LNAI, 7895 LNAI, 158-166, 2013, Liczba cytowań: 16
A new method of improving classification accuracy of decision tree in case of incomplete samples
Nowak B.A., Nowicki R.K., Mleczko W.K., A new method of improving classification accuracy of decision tree in case of incomplete samples, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7894 LNAI, 7894 LNAI, 448-458, 2013, Liczba cytowań: 8
A new approach to determine three-dimensional facial landmarks
Pabiasz S., Starczewski J.T., A new approach to determine three-dimensional facial landmarks, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7895 LNAI, 7895 LNAI, 286-296, 2013, Liczba cytowań: 7
Video compression algorithm based on neural networks
Cierniak R., Knop M., Video compression algorithm based on neural networks, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7894 LNAI, 7894 LNAI, 524-531, 2013, Liczba cytowań: 5
Representation of edge detection results based on graph theory
Najgebauer P., Nowak T., Romanowski J., Rygal J., Korytkowski M., Representation of edge detection results based on graph theory, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7894 LNAI, 7894 LNAI, 588-601, 2013, Liczba cytowań: 4
A clustering method based on the modified RS validity index
Starczewski A., A clustering method based on the modified RS validity index, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7895 LNAI, 7895 LNAI, 242-250, 2013, Liczba cytowań: 4
Extraction of objects from images using density of edges as basis for GrabCut algorithm
Rygal J., Najgebauer P., Romanowski J., Scherer R., Extraction of objects from images using density of edges as basis for GrabCut algorithm, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7894 LNAI, 7894 LNAI, 613-623, 2013, Liczba cytowań: 3
A novel graph-based descriptor for object matching
Nowak T., Najgebauer P., Rygal J., Scherer R., A novel graph-based descriptor for object matching, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7894 LNAI, 7894 LNAI, 602-612, 2013, Liczba cytowań: 2
Improved X-ray edge detection based on background extraction algorithm
Romanowski J., Nowak T., Najgebauer P., Litwinski S., Improved X-ray edge detection based on background extraction algorithm, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7895 LNAI, 7895 LNAI, 309-319, 2013, Liczba cytowań: 1
Neuronal model-based image reconstruction from projections method
Lorent A., Knas M., Dobosz P., Neuronal model-based image reconstruction from projections method, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7894 LNAI, 7894 LNAI, 580-587, 2013, Liczba cytowań: 0

2012 (43)

Novel online speed profile generation for industrial machine tool based on flexible neuro-fuzzy approximation
Rutkowski L., Przybyl A., Cpalka K., Novel online speed profile generation for industrial machine tool based on flexible neuro-fuzzy approximation, IEEE Transactions on Industrial Electronics, 59, 59, 1238-1247, 2012, Liczba cytowań: 90
Novel algorithm for the on-line signature verification
Zalasinski M., Cpalka K., Novel algorithm for the on-line signature verification, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7268 LNAI, 7268 LNAI, 362-367, 2012, Liczba cytowań: 45
A new method to construct of interpretable models of dynamic systems
Przybyl A., Cpalka K., A new method to construct of interpretable models of dynamic systems, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7268 LNAI, 7268 LNAI, 697-705, 2012, Liczba cytowań: 43
A new method for dealing with unbalanced linguistic term set
Bartczuk L., Dziwinski P., Starczewski J.T., A new method for dealing with unbalanced linguistic term set, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7267 LNAI, 7267 LNAI, 207-212, 2012, Liczba cytowań: 27
Creating learning sets for control systems using an evolutionary method
Gabryel M., Wozniak M., K. Nowicki R., Creating learning sets for control systems using an evolutionary method, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7269 LNCS, 7269 LNCS, 206-213, 2012, Liczba cytowań: 26
Fully controllable ant colony system for text data clustering
Dziwinski P., Bartczuk L., Starczewski J.T., Fully controllable ant colony system for text data clustering, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7269 LNCS, 7269 LNCS, 199-205, 2012, Liczba cytowań: 26
Parallel realisation of the recurrent multi layer perceptron learning
Bilski J., Smolag J., Parallel realisation of the recurrent multi layer perceptron learning, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7267 LNAI, 7267 LNAI, 12-20, 2012, Liczba cytowań: 25
Application of neural networks in assessing changes around implant after total hip arthroplasty
Szarek A., Korytkowski M., Rutkowski L., Scherer R., Szyprowski J., Application of neural networks in assessing changes around implant after total hip arthroplasty, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7268 LNAI, 7268 LNAI, 335-340, 2012, Liczba cytowań: 23
On pre-processing algorithms for data stream
Duda P., Jaworski M., Pietruczuk L., On pre-processing algorithms for data stream, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7268 LNAI, 7268 LNAI, 56-63, 2012, Liczba cytowań: 18
On fuzzy clustering of data streams with concept drift
Jaworski M., Duda P., Pietruczuk L., On fuzzy clustering of data streams with concept drift, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7268 LNAI, 7268 LNAI, 82-91, 2012, Liczba cytowań: 18
A new fuzzy classifier for data streams
Pietruczuk L., Duda P., Jaworski M., A new fuzzy classifier for data streams, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7267 LNAI, 7267 LNAI, 318-324, 2012, Liczba cytowań: 18
On the strong convergence of the orthogonal series-type kernel regression neural networks in a non-stationary environment
Duda P., Hayashi Y., Jaworski M., On the strong convergence of the orthogonal series-type kernel regression neural networks in a non-stationary environment, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7267 LNAI, 7267 LNAI, 47-54, 2012, Liczba cytowań: 17
On resources optimization in fuzzy clustering of data streams
Jaworski M., Pietruczuk L., Duda P., On resources optimization in fuzzy clustering of data streams, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7268 LNAI, 7268 LNAI, 92-99, 2012, Liczba cytowań: 17
Forecasting wear of head and acetabulum in hip joint implant
Szarek A., Korytkowski M., Rutkowski L., Scherer R., Szyprowski J., Forecasting wear of head and acetabulum in hip joint implant, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7268 LNAI, 7268 LNAI, 341-346, 2012, Liczba cytowań: 14
On the weak convergence of the orthogonal series-type kernel regresion neural networks in a non-stationary environment
Er M.J., Duda P., On the weak convergence of the orthogonal series-type kernel regresion neural networks in a non-stationary environment, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7203 LNCS, 7203 LNCS, 443-450, 2012, Liczba cytowań: 14
Preface
Scherer R., Preface, Studies in Fuzziness and Soft Computing, 288, 288, 2012, Liczba cytowań: 10
Takagi-Sugeno fuzzy systems
Scherer R., Takagi-Sugeno fuzzy systems, Studies in Fuzziness and Soft Computing, 288, 288, 73-79, 2012, Liczba cytowań: 6
On-demand web search using browser-based volunteer computing
Krupa T., Majewski P., Kowalczyk B., Turek W., On-demand web search using browser-based volunteer computing, Proceedings - 2012 6th International Conference on Complex, Intelligent, and Software Intensive Systems, CISIS 2012, 184-190, 2012, Liczba cytowań: 5
A neuronal approach to the statistical image reconstruction from projections problem
Cierniak R., Lorent A., A neuronal approach to the statistical image reconstruction from projections problem, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7653 LNAI, 7653 LNAI, 344-353, 2012, Liczba cytowań: 5
Meshes vs. depth maps in face recognition systems
Pabiasz S., Starczewski J.T., Meshes vs. depth maps in face recognition systems, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7267 LNAI, 7267 LNAI, 567-573, 2012, Liczba cytowań: 5
Properties and structure of fast text search engine in context of semantic image analysis
Rygal J., Najgebauer P., Nowak T., Romanowski J., Gabryel M., Scherer R., Properties and structure of fast text search engine in context of semantic image analysis, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7267 LNAI, 7267 LNAI, 592-599, 2012, Liczba cytowań: 4
Novel method for parasite detection in microscopic samples
Najgebauer P., Nowak T., Romanowski J., Rygal J., Korytkowski M., Scherer R., Novel method for parasite detection in microscopic samples, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7267 LNAI, 7267 LNAI, 551-558, 2012, Liczba cytowań: 4
Learning in rough-neuro-fuzzy system for data with missing values
Nowak B.A., Nowicki R.K., Learning in rough-neuro-fuzzy system for data with missing values, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7203 LNCS, 7203 LNCS, 501-510, 2012, Liczba cytowań: 3
A new hierarchical clustering algorithm
Starczewski A., A new hierarchical clustering algorithm, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7268 LNAI, 7268 LNAI, 175-180, 2012, Liczba cytowań: 3
A cluster validity index for hard clustering
Starczewski A., A cluster validity index for hard clustering, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7268 LNAI, 7268 LNAI, 168-174, 2012, Liczba cytowań: 2
Neuro-fuzzy systems
Rutkowski L., Cpalka K., Nowicki R., Pokropinska A., Scherer R., Neuro-fuzzy systems, Computational Complexity: Theory, Techniques, and Applications, 9781461418009, 9781461418009, 2069-2081, 2012, Liczba cytowań: 2
An application of the self-organizing map to multiple view unsupervised learning
Galkowski T., Starczewski A., An application of the self-organizing map to multiple view unsupervised learning, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7268 LNAI, 7268 LNAI, 181-187, 2012, Liczba cytowań: 1
An analytical approach to the image reconstruction problem using em algorithm
Dobosz P., An analytical approach to the image reconstruction problem using em algorithm, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7267 LNAI, 7267 LNAI, 495-500, 2012, Liczba cytowań: 1
On the Cesaro orthogonal series-type kernel probabilistic neural networks handling non-stationary noise
Duda P., Zurada J.M., On the Cesaro orthogonal series-type kernel probabilistic neural networks handling non-stationary noise, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7203 LNCS, 7203 LNCS, 435-442, 2012, Liczba cytowań: 1
Relational modular fuzzy systems
Scherer R., Relational modular fuzzy systems, Studies in Fuzziness and Soft Computing, 288, 288, 39-50, 2012, Liczba cytowań: 1
Introduction
Scherer R., Introduction, Studies in Fuzziness and Soft Computing, 288, 288, 1-5, 2012, Liczba cytowań: 0
On the strong convergence of the recursive orthogonal series-type kernel probabilistic neural networks handling time-varying noise
Duda P., Korytkowski M., On the strong convergence of the recursive orthogonal series-type kernel probabilistic neural networks handling time-varying noise, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7267 LNAI, 7267 LNAI, 55-62, 2012, Liczba cytowań: 0
Preface
Rutkowski L., Preface, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7267 LNAI, 7267 LNAI, 2012, Liczba cytowań: 0
Concluding remarks and challenges for future research
Scherer R., Concluding remarks and challenges for future research, Studies in Fuzziness and Soft Computing, 288, 288, 129-130, 2012, Liczba cytowań: 0
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics): Preface
Rutkowski L., Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics): Preface, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7269 LNCS, 7269 LNCS, 2012, Liczba cytowań: 0
Ensembles of the Mamdani fuzzy systems
Scherer R., Ensembles of the Mamdani fuzzy systems, Studies in Fuzziness and Soft Computing, 288, 288, 51-59, 2012, Liczba cytowań: 0
On the weak convergence of the recursive orthogonal series-type kernel probabilistic neural networks in a time-varying environment
Duda P., Hayashi Y., On the weak convergence of the recursive orthogonal series-type kernel probabilistic neural networks in a time-varying environment, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7203 LNCS, 7203 LNCS, 427-434, 2012, Liczba cytowań: 0
Ensemble techniques
Scherer R., Ensemble techniques, Studies in Fuzziness and Soft Computing, 288, 288, 29-37, 2012, Liczba cytowań: 0
On learning in a time-varying environment by using a probabilistic neural network and the recursive least squares method
Jaworski M., Gabryel M., On learning in a time-varying environment by using a probabilistic neural network and the recursive least squares method, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7267 LNAI, 7267 LNAI, 99-110, 2012, Liczba cytowań: 0
Rough-neuro-fuzzy ensembles for classification with missing data
Scherer R., Rough-neuro-fuzzy ensembles for classification with missing data, Studies in Fuzziness and Soft Computing, 288, 288, 81-127, 2012, Liczba cytowań: 0
On the uniform convergence of the orthogonal series-type kernel regression neural networks in a time-varying environment
Er M.J., Duda P., On the uniform convergence of the orthogonal series-type kernel regression neural networks in a time-varying environment, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7267 LNAI, 7267 LNAI, 39-46, 2012, Liczba cytowań: 0
Logical type fuzzy systems
Scherer R., Logical type fuzzy systems, Studies in Fuzziness and Soft Computing, 288, 288, 61-71, 2012, Liczba cytowań: 0
Introduction to fuzzy systems
Scherer R., Introduction to fuzzy systems, Studies in Fuzziness and Soft Computing, 288, 288, 7-28, 2012, Liczba cytowań: 0

2011 (7)

X-ray computed tomography in biomedical engineering
Cierniak R., X-ray computed tomography in biomedical engineering, X-Ray Computed Tomography in Biomedical Engineering, 1-319, 2011, Liczba cytowań: 51
AdaBoost ensemble of DCOG rough-neuro-fuzzy systems
Korytkowski M., Nowicki R., Rutkowski L., Scherer R., AdaBoost ensemble of DCOG rough-neuro-fuzzy systems, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 6922 LNAI, 6922 LNAI, 62-71, 2011, Liczba cytowań: 25
An ensemble of logical-type neuro-fuzzy systems
Scherer R., An ensemble of logical-type neuro-fuzzy systems, Expert Systems with Applications, 38, 38, 13115-13120, 2011, Liczba cytowań: 11
Neural network algorithm for image reconstruction using the "grid-friendly" projections
Cierniak R., Neural network algorithm for image reconstruction using the "grid-friendly" projections, Australasian Physical and Engineering Sciences in Medicine, 34, 34, 375-389, 2011, Liczba cytowań: 9
Rule base normalization in Takagi-Sugeno ensemble
Korytkowski M., Rutkowski L., Scherer R., Rule base normalization in Takagi-Sugeno ensemble, IEEE SSCI 2011 - Symposium Series on Computational Intelligence - HIMA 2011: 2011 IEEE Workshop on Hybrid Intelligent Models and Applications, 1-5, 2011, Liczba cytowań: 3
On designing of flexible neuro-fuzzy systems for nonlinear modelling
Cpalka K., Rebrova O., Nowicki R., Rutkowski L., On designing of flexible neuro-fuzzy systems for nonlinear modelling, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 6743 LNAI, 6743 LNAI, 147-154, 2011, Liczba cytowań: 2
Foreword
Rutkowski L., Foreword, Intelligent Systems Reference Library, 6, 6, 2011, Liczba cytowań: 0

2010 (28)

Fuzzy regression modeling for tool performance prediction and degradation detection
Li X., Er M.J., Lim B.S., Zhou J.H., Gan O.P., Rutkowski L., Fuzzy regression modeling for tool performance prediction and degradation detection, International Journal of Neural Systems, 20, 20, 405-419, 2010, Liczba cytowań: 66
Online speed profile generation for industrial machine tool based on neuro-fuzzy approach
Rutkowski L., Przybyl A., Cpalka K., Er M.J., Online speed profile generation for industrial machine tool based on neuro-fuzzy approach, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 6114 LNAI, 6114 LNAI, 645-650, 2010, Liczba cytowań: 54
On classification with missing data using rough-neuro-fuzzy systems
Nowicki R.K., On classification with missing data using rough-neuro-fuzzy systems, International Journal of Applied Mathematics and Computer Science, 20, 20, 55-67, 2010, Liczba cytowań: 36
Designing boosting ensemble of relational fuzzy systems
Scherer R., Designing boosting ensemble of relational fuzzy systems, International Journal of Neural Systems, 20, 20, 381-388, 2010, Liczba cytowań: 32
Parallel realisation of the recurrent Elman neural network learning
Bilski J., Smolag J., Parallel realisation of the recurrent Elman neural network learning, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 6114 LNAI, 6114 LNAI, 19-25, 2010, Liczba cytowań: 25
Neuro-fuzzy systems with relation matrix
Scherer R., Neuro-fuzzy systems with relation matrix, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 6113 LNAI, 6113 LNAI, 210-215, 2010, Liczba cytowań: 23
Learning methods for type-2 FLS based on FCM
Starczewski J.T., Bartczuk L., Dziwinski P., Marvuglia A., Learning methods for type-2 FLS based on FCM, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 6113 LNAI, 6113 LNAI, 224-231, 2010, Liczba cytowań: 20
New method for generation type-2 fuzzy partition for FDT
Bartczuk L., Dziwinski P., Starczewski J.T., New method for generation type-2 fuzzy partition for FDT, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 6113 LNAI, 6113 LNAI, 275-280, 2010, Liczba cytowań: 16
Distributed control system based on real time ethernet for computer numerical controlled machine tool
PrzybyL A., Smolag J., Kimla P., Distributed control system based on real time ethernet for computer numerical controlled machine tool, Przeglad Elektrotechniczny, 86, 86, 342-346, 2010, Liczba cytowań: 16
New linguistic hedges in construction of interval type-2 FLS
Dziwinski P., Starczewski J.T., Bartczuk L., New linguistic hedges in construction of interval type-2 FLS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 6114 LNAI, 6114 LNAI, 445-450, 2010, Liczba cytowań: 14
A three-dimentional neural network based approach to the image reconstruction from projections problem
Cierniak R., A three-dimentional neural network based approach to the image reconstruction from projections problem, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 6113 LNAI, 6113 LNAI, 505-514, 2010, Liczba cytowań: 14
On non-singleton fuzzification with DCOG defuzzification
Nowicki R.K., Starczewski J.T., On non-singleton fuzzification with DCOG defuzzification, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 6113 LNAI, 6113 LNAI, 168-174, 2010, Liczba cytowań: 7
General type-2 FLS with uncertainty generated by fuzzy rough sets
Starczewski J.T., General type-2 FLS with uncertainty generated by fuzzy rough sets, 2010 IEEE World Congress on Computational Intelligence, WCCI 2010, 2010, Liczba cytowań: 7
Fault diagnosis of an air-handling unit system using a dynamic fuzzy-neural approach
Du J., Er M.J., Rutkowski L., Fault diagnosis of an air-handling unit system using a dynamic fuzzy-neural approach, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 6113 LNAI, 6113 LNAI, 58-65, 2010, Liczba cytowań: 6
Negative correlation learning of neuro-fuzzy system ensembles
Korytkowski M., Scherer R., Negative correlation learning of neuro-fuzzy system ensembles, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 6113 LNAI, 6113 LNAI, 114-119, 2010, Liczba cytowań: 6
A statistical appraoch to image reconstruction from projections problem using recurrent neural network
Cierniak R., A statistical appraoch to image reconstruction from projections problem using recurrent neural network, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 6353 LNCS, 6353 LNCS, 138-141, 2010, Liczba cytowań: 5
Evolutionary designing of logic-type fuzzy systems
Gabryel M., Rutkowski L., Evolutionary designing of logic-type fuzzy systems, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 6114 LNAI, 6114 LNAI, 143-148, 2010, Liczba cytowań: 5
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics): Preface
Rutkowski L., Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics): Preface, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 6114 LNAI, 6114 LNAI, 2010, Liczba cytowań: 5
MICOG defuzzification rough-neuro-fuzzy system ensemble
Korytkowski M., Nowicki R.K., Scherer R., Rutkowski L., MICOG defuzzification rough-neuro-fuzzy system ensemble, 2010 IEEE World Congress on Computational Intelligence, WCCI 2010, 2010, Liczba cytowań: 5
An Efficient Adaptive Fuzzy Neural Network (EAFNN) approach for short term load forecasting
Du J., Er M.J., Rutkowski L., An Efficient Adaptive Fuzzy Neural Network (EAFNN) approach for short term load forecasting, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 6113 LNAI, 6113 LNAI, 49-57, 2010, Liczba cytowań: 3
Relational type-2 interval fuzzy systems
Scherer R., Starczewski J.T., Relational type-2 interval fuzzy systems, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 6067 LNCS, 6067 LNCS, 360-368, 2010, Liczba cytowań: 3
A statistical tailored image reconstruction from projections method
Cierniak R., A statistical tailored image reconstruction from projections method, Smart Innovation, Systems and Technologies, 4, 4, 181-190, 2010, Liczba cytowań: 3
A neural network optimization-based method of image reconstruction from projections
Cierniak R., A neural network optimization-based method of image reconstruction from projections, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 5990 LNAI, 5990 LNAI, 241-250, 2010, Liczba cytowań: 2
Modular neuro-fuzzy systems based on generalized parametric triangular norms
Korytkowski M., Scherer R., Modular neuro-fuzzy systems based on generalized parametric triangular norms, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 6067 LNCS, 6067 LNCS, 332-339, 2010, Liczba cytowań: 2
Evolutionary learning for neuro-fuzzy ensembles with generalized parametric triangular norms
Gabryel M., Korytkowski M., Pokropinska A., Scherer R., Drozda S., Evolutionary learning for neuro-fuzzy ensembles with generalized parametric triangular norms, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 6113 LNAI, 6113 LNAI, 74-79, 2010, Liczba cytowań: 1
Neural network-based assessment of femur stress after hip joint alloplasty
Korytkowski M., Rutkowski L., Scherer R., Szarek A., Neural network-based assessment of femur stress after hip joint alloplasty, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 6113 LNAI, 6113 LNAI, 621-626, 2010, Liczba cytowań: 0
An online approach towards self-generating fuzzy neural networks with applications
Liu F., Er M.J., Rutkowski L., An online approach towards self-generating fuzzy neural networks with applications, Proceedings of the International Joint Conference on Neural Networks, 2010, Liczba cytowań: 0
On automatic design of neuro-fuzzy systems
Cpalka K., Rutkowski L., Er M.J., On automatic design of neuro-fuzzy systems, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 6113 LNAI, 6113 LNAI, 43-48, 2010, Liczba cytowań: 0

2009 (12)

Efficient triangular type-2 fuzzy logic systems
Starczewski J.T., Efficient triangular type-2 fuzzy logic systems, International Journal of Approximate Reasoning, 50, 50, 799-811, 2009, Liczba cytowań: 73
On evolutionary designing and learning of flexible neuro-fuzzy structures for nonlinear classification
Cpalka K., On evolutionary designing and learning of flexible neuro-fuzzy structures for nonlinear classification, Nonlinear Analysis, Theory, Methods and Applications, 71, 71, 2009, Liczba cytowań: 67
Rough neuro-fuzzy structures for classification with missing data
Nowicki R., Rough neuro-fuzzy structures for classification with missing data, IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, 39, 39, 1334-1347, 2009, Liczba cytowań: 62
A new method for design and reduction of neuro-fuzzy classification systems
Cpalka K., A new method for design and reduction of neuro-fuzzy classification systems, IEEE Transactions on Neural Networks, 20, 20, 701-714, 2009, Liczba cytowań: 61
New neural network algorithm for image reconstruction from fan-beam projections
Cierniak R., New neural network algorithm for image reconstruction from fan-beam projections, Neurocomputing, 72, 72, 3238-3244, 2009, Liczba cytowań: 47
Extended triangular norms
Starczewski J.T., Extended triangular norms, Information Sciences, 179, 179, 742-757, 2009, Liczba cytowań: 34
Neuro-fuzzy relational systems for nonlinear approximation and prediction
Scherer R., Neuro-fuzzy relational systems for nonlinear approximation and prediction, Nonlinear Analysis, Theory, Methods and Applications, 71, 71, 2009, Liczba cytowań: 29
Neuro-fuzzy rough classifier ensemble
Korytkowski M., Nowicki R., Scherer R., Neuro-fuzzy rough classifier ensemble, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 5768 LNCS, 5768 LNCS, 817-823, 2009, Liczba cytowań: 27
Medical diagnosis with type-2 fuzzy decision trees
Bartczuk L., Rutkowska D., Medical diagnosis with type-2 fuzzy decision trees, Advances in Intelligent and Soft Computing, 65, 65, 11-21, 2009, Liczba cytowań: 24
Nonlinear modelling and classification based on the MICOG defuzzification
Nowicki R., Nonlinear modelling and classification based on the MICOG defuzzification, Nonlinear Analysis, Theory, Methods and Applications, 71, 71, 2009, Liczba cytowań: 16
A type-1 approximation of interval type-2 FLS
Starczewski J.T., A type-1 approximation of interval type-2 FLS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 5571 LNAI, 5571 LNAI, 287-294, 2009, Liczba cytowań: 7
A new method for complexity reduction of neuro-fuzzy systems with application to differential stroke diagnosis
Cpalka K., Rebrova O., Rutkowski L., A new method for complexity reduction of neuro-fuzzy systems with application to differential stroke diagnosis, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 5769 LNCS, 5769 LNCS, 435-444, 2009, Liczba cytowań: 2

2008 (24)

Computational intelligence: Methods and techniques
Rutkowski L., Computational intelligence: Methods and techniques, Computational Intelligence: Methods and Techniques, 1-514, 2008, Liczba cytowań: 306
From ensemble of fuzzy classifiers to single fuzzy rule base classifier
Korytkowski M., Rutkowski L., Scherer R., From ensemble of fuzzy classifiers to single fuzzy rule base classifier, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 5097 LNAI, 5097 LNAI, 265-272, 2008, Liczba cytowań: 62
On combining neuro-fuzzy architectures with the rough set theory to solve classification problems with incomplete data
Nowicki R., On combining neuro-fuzzy architectures with the rough set theory to solve classification problems with incomplete data, IEEE Transactions on Knowledge and Data Engineering, 20, 20, 1239-1253, 2008, Liczba cytowań: 44
A new approach to image reconstruction from projections using a recurrent neural network
Cierniak R., A new approach to image reconstruction from projections using a recurrent neural network, International Journal of Applied Mathematics and Computer Science, 18, 18, 147-157, 2008, Liczba cytowań: 43
A 2D approach to tomographic image reconstruction using a Hopfield-type neural network
Cierniak R., A 2D approach to tomographic image reconstruction using a Hopfield-type neural network, Artificial Intelligence in Medicine, 43, 43, 113-125, 2008, Liczba cytowań: 34
Parallel realisation of the recurrent RTRN neural network learning
Bilski J., Smolag J., Parallel realisation of the recurrent RTRN neural network learning, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 5097 LNAI, 5097 LNAI, 11-16, 2008, Liczba cytowań: 28
Modular type-2 neuro-fuzzy systems
Starczewski J., Scherer R., Korytkowski M., Nowicki R., Modular type-2 neuro-fuzzy systems, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 4967 LNCS, 4967 LNCS, 570-578, 2008, Liczba cytowań: 21
Type-2 fuzzy decision trees
Bartczuk L., Rutkowska D., Type-2 fuzzy decision trees, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 5097 LNAI, 5097 LNAI, 197-206, 2008, Liczba cytowań: 20
Ensemble of rough-neuro-fuzzy systems for classification with missing features
Korytkowski M., Nowicki R., Scherer R., Rutkowski L., Ensemble of rough-neuro-fuzzy systems for classification with missing features, IEEE International Conference on Fuzzy Systems, 1745-1750, 2008, Liczba cytowań: 14
Ant focused crawling algorithm
Dziwinski P., Rutkowska D., Ant focused crawling algorithm, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 5097 LNAI, 5097 LNAI, 1018-1028, 2008, Liczba cytowań: 14
Evolutionary methods to create interpretable modular system
Korytkowski M., Gabryel M., Rutkowski L., Drozda S., Evolutionary methods to create interpretable modular system, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 5097 LNAI, 5097 LNAI, 405-413, 2008, Liczba cytowań: 13
A novel approach to image reconstruction problem from fan-beam projections using recurrent neural network
Cierniak R., A novel approach to image reconstruction problem from fan-beam projections using recurrent neural network, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 5097 LNAI, 5097 LNAI, 752-761, 2008, Liczba cytowań: 12
On defuzzification of interval type-2 fuzzy sets
Starczewski J.T., On defuzzification of interval type-2 fuzzy sets, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 5097 LNAI, 5097 LNAI, 333-340, 2008, Liczba cytowań: 11
Evolutionary methods for designing neuro-fuzzy modular systems combined by bagging algorithm
Gabryel M., Rutkowski L., Evolutionary methods for designing neuro-fuzzy modular systems combined by bagging algorithm, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 5097 LNAI, 5097 LNAI, 398-404, 2008, Liczba cytowań: 10
Evolutionary learning of flexible neuro-fuzzy systems
Cpalka K., Rutkowski L., Evolutionary learning of flexible neuro-fuzzy systems, IEEE International Conference on Fuzzy Systems, 969-975, 2008, Liczba cytowań: 10
Financial prediction with neuro-fuzzy systems
Pokropinska A., Scherer R., Financial prediction with neuro-fuzzy systems, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 5097 LNAI, 5097 LNAI, 1120-1126, 2008, Liczba cytowań: 5
Accuracy improvement of neural network state variable estimator in induction motor drive
Jelonkiewicz J., Przybyl A., Accuracy improvement of neural network state variable estimator in induction motor drive, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 5097 LNAI, 5097 LNAI, 71-77, 2008, Liczba cytowań: 5
Modular rough neuro-fuzzy systems for classification
Scherer R., Korytkowski M., Nowicki R., Rutkowski L., Modular rough neuro-fuzzy systems for classification, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 4967 LNCS, 4967 LNCS, 540-548, 2008, Liczba cytowań: 3
An application of weighted triangular norms to complexity reduction of neuro-fuzzy systems
Cpalka K., Rutkowski L., An application of weighted triangular norms to complexity reduction of neuro-fuzzy systems, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 5097 LNAI, 5097 LNAI, 207-216, 2008, Liczba cytowań: 1
A new approach to creating multisegment fuzzy systems
Starczewski A., A new approach to creating multisegment fuzzy systems, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 5097 LNAI, 5097 LNAI, 324-332, 2008, Liczba cytowań: 1
Regression modeling with fuzzy relations
Scherer R., Regression modeling with fuzzy relations, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 5097 LNAI, 5097 LNAI, 317-323, 2008, Liczba cytowań: 1
On differential stroke diagnosis by neuro-fuzzy structures
Cpalka K., Rebrova O., Galkowski T., Rutkowski L., On differential stroke diagnosis by neuro-fuzzy structures, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 5097 LNAI, 5097 LNAI, 974-980, 2008, Liczba cytowań: 1
Information theory inspired weighted immune classification algorithm
Morkowski M., Nowicki R., Information theory inspired weighted immune classification algorithm, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 5097 LNAI, 5097 LNAI, 652-660, 2008, Liczba cytowań: 0
Lecture Notes in Artificial Intelligence : Preface
Rutkowski L., Lecture Notes in Artificial Intelligence : Preface, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 5097 LNAI, 5097 LNAI, 2008, Liczba cytowań: 0

2007 (3)

Rough-neuro-fuzzy systems for classification
Cpalka K., Nowicki R., Rutkowski L., Rough-neuro-fuzzy systems for classification, Proceedings of the 2007 IEEE Symposium on Foundations of Computational Intelligence, FOCI 2007, 1-8, 2007, Liczba cytowań: 3
On obtaining fuzzy rule base from ensemble of Takagi-Sugeno systems
Korytkowski M., Rutkowski L., Scherer R., Drozda G., On obtaining fuzzy rule base from ensemble of Takagi-Sugeno systems, Proceedings of the 2007 IEEE Symposium on Computational Intelligence and Data Mining, CIDM 2007, 234-237, 2007, Liczba cytowań: 1
On speeding up the learning process of neuro-fuzzy ensembles generated by the adaboost algorithm
Korytkowski M., Rutkowski L., Scherer R., On speeding up the learning process of neuro-fuzzy ensembles generated by the adaboost algorithm, Advances in Soft Computing, 45, 45, 319-326, 2007, Liczba cytowań: 0

2006 (14)

On combining backpropagation with boosting
Korytkowski M., Rutkowski L., Scherer R., On combining backpropagation with boosting, IEEE International Conference on Neural Networks - Conference Proceedings, 1274-1277, 2006, Liczba cytowań: 58
A method for designing flexible neuro-fuzzy systems
Cpalka K., A method for designing flexible neuro-fuzzy systems, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 4029 LNAI, 4029 LNAI, 212-219, 2006, Liczba cytowań: 40
Boosting ensemble of relational neuro-fuzzy systems
Scherer R., Boosting ensemble of relational neuro-fuzzy systems, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 4029 LNAI, 4029 LNAI, 306-313, 2006, Liczba cytowań: 34
Rough-neuro-fuzzy system with MICOG defuzzification
Nowicki R., Rough-neuro-fuzzy system with MICOG defuzzification, IEEE International Conference on Fuzzy Systems, 1958-1965, 2006, Liczba cytowań: 24
A new version of the fuzzy-ID3 algorithm
Bartczuk L., Rutkowska D., A new version of the fuzzy-ID3 algorithm, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 4029 LNAI, 4029 LNAI, 1060-1070, 2006, Liczba cytowań: 23
A triangular type-2 fuzzy logic system
Starczewski J.T., A triangular type-2 fuzzy logic system, IEEE International Conference on Fuzzy Systems, 1460-1467, 2006, Liczba cytowań: 19
Evolutionary learning of mamdani-type neuro-fuzzy systems
Gabryel M., Rutkowski L., Evolutionary learning of mamdani-type neuro-fuzzy systems, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 4029 LNAI, 4029 LNAI, 354-359, 2006, Liczba cytowań: 19
Algorithm for generating fuzzy rules for WWW document classification
Dziwinski P., Rutkowska D., Algorithm for generating fuzzy rules for WWW document classification, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 4029 LNAI, 4029 LNAI, 1111-1119, 2006, Liczba cytowań: 17
A new method for designing and reduction of neuro-fuzzy systems
Cpalka K., Rutkowski L., A new method for designing and reduction of neuro-fuzzy systems, IEEE International Conference on Fuzzy Systems, 1851-1857, 2006, Liczba cytowań: 16
A novel approach to image reconstruction from discrete projections using hopfield-type neural network
Cierniak R., A novel approach to image reconstruction from discrete projections using hopfield-type neural network, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 4029 LNAI, 4029 LNAI, 890-898, 2006, Liczba cytowań: 10
Merging ensemble of neuro-fuzzy systems
Korytkowski M., Nowicki R., Rutkowski L., Scherer R., Merging ensemble of neuro-fuzzy systems, IEEE International Conference on Fuzzy Systems, 1954-1957, 2006, Liczba cytowań: 7
A new method for complexity reduction of neuro-fuzzy systems
Cpalka K., Rutkowski L., A new method for complexity reduction of neuro-fuzzy systems, WSEAS Transactions on Systems, 5, 5, 2514-2521, 2006, Liczba cytowań: 1
Isolines of statistical information criteria for relational neuro-fuzzy system design
Pokropinska A., Nowicki R., Scherer R., Isolines of statistical information criteria for relational neuro-fuzzy system design, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 4029 LNAI, 4029 LNAI, 288-296, 2006, Liczba cytowań: 1
Combining logical-type neuro-fuzzy systems
Korytkowski M., Nowicki R., Rutkowski L., Scherer R., Combining logical-type neuro-fuzzy systems, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 4029 LNAI, 4029 LNAI, 240-249, 2006, Liczba cytowań: 1

2005 (5)

Designing and learning of adjustable quasi-triangular norms with applications to neuro-fuzzy systems
Rutkowski L., Cpalka K., Designing and learning of adjustable quasi-triangular norms with applications to neuro-fuzzy systems, IEEE Transactions on Fuzzy Systems, 13, 13, 140-151, 2005, Liczba cytowań: 68
Flexible Takagi-Sugeno fuzzy systems
Cpalka K., Rutkowski L., Flexible Takagi-Sugeno fuzzy systems, Proceedings of the International Joint Conference on Neural Networks, 3, 3, 1764-1769, 2005, Liczba cytowań: 57
Flexible Takagi-Sugeno neuro-fuzzy structures for nonlinear approximation
Cpalka K., Rutkowski L., Flexible Takagi-Sugeno neuro-fuzzy structures for nonlinear approximation, WSEAS Transactions on Systems, 4, 4, 1450-1458, 2005, Liczba cytowań: 42
Extended triangular norms on gaussian fuzzy sets
Starczewski J.T., Extended triangular norms on gaussian fuzzy sets, Proceedings - 4th Conference of the European Society for Fuzzy Logic and Technology and 11th French Days on Fuzzy Logic and Applications, EUSFLAT-LFA 2005 Joint Conference, 872-877, 2005, Liczba cytowań: 21
Flexible neuro-fuzzy structures for pattern classification
Cpalka K., Rutkowski L., Flexible neuro-fuzzy structures for pattern classification, WSEAS Transactions on Computers, 4, 4, 679-688, 2005, Liczba cytowań: 7

2004 (20)

Neuro-fuzzy systems derived from quasi-triangular norms
Rutkowski L., Cpalka K., Neuro-fuzzy systems derived from quasi-triangular norms, IEEE International Conference on Fuzzy Systems, 2, 2, 1031-1036, 2004, Liczba cytowań: 39
Neuro-fuzzy relational classifiers
Scherer R., Rutkowski L., Neuro-fuzzy relational classifiers, Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science), 3070, 3070, 376-380, 2004, Liczba cytowań: 25
Rough sets in the neuro-fuzzy architectures based on non-monotonic fuzzy implications
Nowicki R., Rough sets in the neuro-fuzzy architectures based on non-monotonic fuzzy implications, Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science), 3070, 3070, 518-525, 2004, Liczba cytowań: 22
Parallel realisation of QR algorithm for neural networks learning
Bilski J., Litwinski S., Smolag J., Parallel realisation of QR algorithm for neural networks learning, Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science), 3070, 3070, 158-165, 2004, Liczba cytowań: 21
Rough sets in the neuro-fuzzy architectures based on monotonic fuzzy implications
Nowicki R., Rough sets in the neuro-fuzzy architectures based on monotonic fuzzy implications, Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science), 3070, 3070, 510-517, 2004, Liczba cytowań: 19
Information criterions applied to neuro-fuzzy architectures design
Nowicki R., Pokropinska A., Information criterions applied to neuro-fuzzy architectures design, Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science), 3070, 3070, 332-337, 2004, Liczba cytowań: 19
An image compression algorithm based on neural networks
Cierniak R., An image compression algorithm based on neural networks, Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science), 3070, 3070, 706-711, 2004, Liczba cytowań: 12
Momentum modification of the RLS algorithms
Bilski J., Momentum modification of the RLS algorithms, Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science), 3070, 3070, 151-157, 2004, Liczba cytowań: 11
Fuzzy number-based hierarchical fuzzy system
Gaweda A.E., Scherer R., Fuzzy number-based hierarchical fuzzy system, Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science), 3070, 3070, 302-307, 2004, Liczba cytowań: 8
What differs interval type-2 FLS from type-1 FLS?
Starczewski J.T., What differs interval type-2 FLS from type-1 FLS?, Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science), 3070, 3070, 381-387, 2004, Liczba cytowań: 7
New methods for uncertainty representations in neuro-fuzzy systems
Scherer R., Starczewski J., Gaweda A., New methods for uncertainty representations in neuro-fuzzy systems, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3019, 3019, 659-667, 2004, Liczba cytowań: 4
Recursive probabilistic neural networks
Korytkowski M., Gabryel M., Gaweda A., Recursive probabilistic neural networks, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3019, 3019, 626-631, 2004, Liczba cytowań: 3
Genetic algorithm for database indexing
Korytkowski M., Gabryel M., Nowicki R., Scherer R., Genetic algorithm for database indexing, Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science), 3070, 3070, 1142-1147, 2004, Liczba cytowań: 3
A flexible connectionist fuzzy system
Cpalka K., A flexible connectionist fuzzy system, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3019, 3019, 618-625, 2004, Liczba cytowań: 2
On designing of neuro-fuzzy systems
Nowicki R., Pokropinska A., Hayashi Y., On designing of neuro-fuzzy systems, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3019, 3019, 641-649, 2004, Liczba cytowań: 1
Image compression based on soft computing techniques
Cierniak R., Image compression based on soft computing techniques, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3019, 3019, 609-617, 2004, Liczba cytowań: 1
Fuzzy modelling with a compromise fuzzy reasoning
Cpalka K., Rutkowski L., Fuzzy modelling with a compromise fuzzy reasoning, Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science), 3070, 3070, 284-289, 2004, Liczba cytowań: 0
Neuro-fuzzy versus non-parametric approach to system modeling and classification
Nowicki R., Neuro-fuzzy versus non-parametric approach to system modeling and classification, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3019, 3019, 632-640, 2004, Liczba cytowań: 0
Influence of the training set selection on the performance of the neural network state variables estimators in the induction motor
Jelonkiewicz J., Przybyl A., Influence of the training set selection on the performance of the neural network state variables estimators in the induction motor, Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science), 3070, 3070, 966-971, 2004, Liczba cytowań: 0
Systolic architectures for soft computing algorithms
Bilski J., Smolag J., Zurada J., Systolic architectures for soft computing algorithms, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3019, 3019, 601-608, 2004, Liczba cytowań: 0

2003 (4)

Flexible neuro-fuzzy systems
Rutkowski L., Cpalka K., Flexible neuro-fuzzy systems, IEEE Transactions on Neural Networks, 14, 14, 554-574, 2003, Liczba cytowań: 181
A Hierarchical Neuro-Fuzzy System Based on S-Implications
Nowicki R., Scherer R., Rutkowski L., A Hierarchical Neuro-Fuzzy System Based on S-Implications, Proceedings of the International Joint Conference on Neural Networks, 1, 1, 321-325, 2003, Liczba cytowań: 5
Erratum: Flexible neuro-fuzzy systems (IEEE Transactions on Neural Networks (May 2003) 14 (554-574))
Rutkowski L., Cpalka K., Erratum: Flexible neuro-fuzzy systems (IEEE Transactions on Neural Networks (May 2003) 14 (554-574)), IEEE Transactions on Neural Networks, 14, 14, 967, 2003, Liczba cytowań: 0
A new approach to designing fuzzy systems
Rutkowski L., Cpalka K., A new approach to designing fuzzy systems, Recent Advances in Intelligent Systems and Signal Processing, 343-347, 2003, Liczba cytowań: 0

2002 (4)

Connectionist structures of type 2 fuzzy inference systems
Starczewski J., Rutkowski L., Connectionist structures of type 2 fuzzy inference systems, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2328, 2328, 634-642, 2002, Liczba cytowań: 62
A neuro - Fuzzy controller with a compromise fuzzy reasoning
Rutkowski L., Cpalka K., A neuro - Fuzzy controller with a compromise fuzzy reasoning, Control and Cybernetics, 31, 31, 297-308, 2002, Liczba cytowań: 56
Flexible weighted neuro-fuzzy systems
Rutkowski L., Cpalka K., Flexible weighted neuro-fuzzy systems, ICONIP 2002 - Proceedings of the 9th International Conference on Neural Information Processing: Computational Intelligence for the E-Age, 4, 4, 1857-1861, 2002, Liczba cytowań: 36
Parallel processing by implication-based neuro-fuzzy systems
Rutkowska D., Nowicki R., Hayashi Y., Parallel processing by implication-based neuro-fuzzy systems, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2328, 2328, 599-607, 2002, Liczba cytowań: 4

2001 (2)

A general approach to neuro-fuzzy systems
Rutkowski L., Cpalka K., A general approach to neuro-fuzzy systems, IEEE International Conference on Fuzzy Systems, 3, 3, 1428-1431, 2001, Liczba cytowań: 47
Neuro-fuzzy systems with inference based on bounded product
Rutkowska D., Rutkowski L., Nowicki R., Neuro-fuzzy systems with inference based on bounded product, Advances in Neural Networks and Applications, 104-109, 2001, Liczba cytowań: 5

2000 (1)

On image compression by competitive neural networks and optimal linear predictors
Cierniak R., Rutkowski L., On image compression by competitive neural networks and optimal linear predictors, Signal Processing: Image Communication, 15, 15, 559-565, 2000, Liczba cytowań: 51

1998 (1)

A fast training algorithm for neural networks
Bilski J., Rutkowski L., A fast training algorithm for neural networks, IEEE Transactions on Circuits and Systems II: Analog and Digital Signal Processing, 45, 45, 749-753, 1998, Liczba cytowań: 64

1996 (1)

Neural networks and semi-closed-loop predictive vector quantization for image compression
Cierniak Robert, Rutkowski Leszek, Neural networks and semi-closed-loop predictive vector quantization for image compression, IEEE International Conference on Image Processing, 1, 1, 245-248, 1996, Liczba cytowań: 1

1986 (1)

Nonparametric Fitting of Multivariate Functions
Galkowski T., Rutkowski L., Nonparametric Fitting of Multivariate Functions, IEEE Transactions on Automatic Control, 31, 31, 785-787, 1986, Liczba cytowań: 64

1985 (1)

Nonparametric Recovery of Multivariate Functions with Applications to System Identification
Galkowski T., Rutkowski L., Nonparametric Recovery of Multivariate Functions with Applications to System Identification, Proceedings of the IEEE, 73, 73, 942-943, 1985, Liczba cytowań: 62

1983 (1)

NEW ALGORITHM FOR SHAPE ANALYSIS - THE MULTIDIMENSIONAL CASE.
Galkowski Tomasz, Rutkowski Leszek, NEW ALGORITHM FOR SHAPE ANALYSIS - THE MULTIDIMENSIONAL CASE., 49-53, 1983, Liczba cytowań: 0