Research

The research interests of the employees of the Department of Computational Intelligence include the broadly understood methods of computational intelligence and their application.

Papers (706)

2021 (19)

A novel method for speed training acceleration of recurrent neural networks
Jarosław Bilski and Leszek Rutkowski and Jacek Smoląg and Dacheng Tao, A novel method for speed training acceleration of recurrent neural networks, Elsevier, Information Sciences, 266-279, 2021, Cites: 3
Synchronization of Neural Networks via Periodic Self-Triggered Impulsive Control and Its Application in Image Encryption
Xuegang Tan and Changcheng Xiang and Jinde Cao and Wenying Xu and Guanghui Wen and Leszek Rutkowski, Synchronization of Neural Networks via Periodic Self-Triggered Impulsive Control and Its Application in Image Encryption, IEEE, IEEE Transactions on Cybernetics, 2021, Cites: 0
Review of Road Segmentation for SAR Images
Zengguo Sun and Hui Geng and Zheng Lu and Rafał Scherer and Marcin Woźniak, Review of Road Segmentation for SAR Images, Multidisciplinary Digital Publishing Institute, 5, 1011, 2021, Cites: 0
Monitoring Regenerative Heat Exchanger in Steam Power Plant by Making Use of the Recurrent Neural Network
Tacjana Niksa-Rynkiewicz and Natalia Szewczuk-Krypa and Anna Witkowska and Krzysztof Cpałka and Marcin Zalasiński and Andrzej Cader, Monitoring Regenerative Heat Exchanger in Steam Power Plant by Making Use of the Recurrent Neural Network, Journal of Artificial Intelligence and Soft Computing Research, 143-155, 2021, Cites: 0
Improved Fisher MAP Filter for Despeckling of High-Resolution SAR Images Based on Structural Information Detection
Wei Wei and Zeng-Guo Sun and Zhi-Hua Zhang and Rafal Scherer and Robertas Damaševičius, Improved Fisher MAP Filter for Despeckling of High-Resolution SAR Images Based on Structural Information Detection, Journal of Internet Technology, 2, 413-421, 2021, Cites: 0
Wykorzystanie metody Autokodowania Wariacyjnego Bayesa w tomografii komputerowej
J Podolszańska, Wykorzystanie metody Autokodowania Wariacyjnego Bayesa w tomografii komputerowej, Mateusz Weiland Network Solutions, 243-254, 2021, Cites: 0
A Low-Dimensional Layout of Magnetic Units as Nano-Systems of Combinatorial Logic: Numerical Simulations
Dominika Kuźma and Paweł Kowalczyk and Krzysztof Cpałka and Łukasz Laskowski, A Low-Dimensional Layout of Magnetic Units as Nano-Systems of Combinatorial Logic: Numerical Simulations, Multidisciplinary Digital Publishing Institute, Materials, 11, 2974, 2021, Cites: 0
Proces rekonstrukcji obrazu tomograficznego w oparciu o sieć Variational Autoencoder
J Podolszańska, Proces rekonstrukcji obrazu tomograficznego w oparciu o sieć Variational Autoencoder, INDYGO Media, Inżynier i Fizyk Medyczny, 1, 55-58, 2021, Cites: 0
A diversified shared latent variable model for efficient image characteristics extraction and modelling
Hao Xiong and Yuan Yan Tang and Fionn Murtagh and Leszek Rutkowski and Shlomo Berkovsky, A diversified shared latent variable model for efficient image characteristics extraction and modelling, Elsevier, Neurocomputing, 244-259, 2021, Cites: 0
Short-Term Load Forecasting Based on Adabelief Optimized Temporal Convolutional Network and Gated Recurrent Unit Hybrid Neural Network
Hanhong Shi and Lei Wang and Rafał Scherer and Marcin Woźniak and Pengchao Zhang and Wei Wei, Short-Term Load Forecasting Based on Adabelief Optimized Temporal Convolutional Network and Gated Recurrent Unit Hybrid Neural Network, IEEE, IEEE Access, 66965-66981, 2021, Cites: 0
Stabilization of Markovian Jump Boolean Control Networks via Sampled-Data Control
Bingquan Chen and Jinde Cao and Guoping Lu and Leszek Rutkowski, Stabilization of Markovian Jump Boolean Control Networks via Sampled-Data Control, IEEE, IEEE Transactions on Cybernetics, 2021, Cites: 0
Wykorzystanie metody Wariacyjnego Autokodowania Bayesa w tomografii komputerowej
J Podolszańska, Wykorzystanie metody Wariacyjnego Autokodowania Bayesa w tomografii komputerowej, 41, 2021, Cites: 0
MSAR‐DefogNet: Lightweight cloud removal network for high resolution remote sensing images based on multi scale convolution
Ying Zhou and Weipeng Jing and Jian Wang and Guangsheng Chen and Rafal Scherer and Robertas Damaševičius, MSAR‐DefogNet: Lightweight cloud removal network for high resolution remote sensing images based on multi scale convolution, IET Image Processing, 2021, Cites: 0
Abnormal Detection of Electricity Consumption of User Based on Particle Swarm Optimization and Long Short Term Memory With the Attention Mechanism
Jiahao Bian and Lei Wang and Rafał Scherer and Marcin Woźniak and Pengchao Zhang and Wei Wei, Abnormal Detection of Electricity Consumption of User Based on Particle Swarm Optimization and Long Short Term Memory With the Attention Mechanism, IEEE, IEEE Access, 47252-47265, 2021, Cites: 0
Design and Implementation of Public Opinion Monitoring System Based on Cloud Platform
Wei Wei and Long Wang and Xiaowan Li and Beibei Zhang and Rafał Scherer, Design and Implementation of Public Opinion Monitoring System Based on Cloud Platform, Journal of Internet Technology, 3, 569-581, 2021, Cites: 0
Fixed-Point Arithmetic Unit with a Scaling Mechanism for FPGA-Based Embedded Systems
Andrzej Przybył, Fixed-Point Arithmetic Unit with a Scaling Mechanism for FPGA-Based Embedded Systems, Multidisciplinary Digital Publishing Institute, Electronics, 10, 1164, 2021, Cites: 0
Finite-Time Synchronization of Complex-Valued Memristive-Based Neural Networks Via Hybrid Control
Tianhu Yu and Jinde Cao and Leszek Rutkowski and Yi-Ping Luo, Finite-Time Synchronization of Complex-Valued Memristive-Based Neural Networks Via Hybrid Control, IEEE, IEEE Transactions on Neural Networks and Learning Systems, 2021, Cites: 0
A Novel Method for Invariant Image Reconstruction
Mirosław Pawlak and Gurmukh Singh Panesar and Marcin Korytkowski, A Novel Method for Invariant Image Reconstruction, Sciendo, Journal of Artificial Intelligence and Soft Computing Research, 1, 69-80, 2021, Cites: 0
Redukcja artefaktów w TK z wykorzystaniem głębokich sieci neuronowych
J Podolszańska, Redukcja artefaktów w TK z wykorzystaniem głębokich sieci neuronowych, 13, 2021, Cites: 0

2020 (91)

Sliding-mode control for slow-sampling singularly perturbed systems subject to Markov jump parameters
Jing Wang and Chengyu Yang and Hao Shen and Jinde Cao and Leszek Rutkowski, Sliding-mode control for slow-sampling singularly perturbed systems subject to Markov jump parameters, IEEE, IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2020, Cites: 53
Multimodal brain tumor classification using deep learning and robust feature selection: A machine learning application for radiologists
Muhammad Attique Khan and Imran Ashraf and Majed Alhaisoni and Robertas Damaševičius and Rafal Scherer and Amjad Rehman and Syed Ahmad Chan Bukhari, Multimodal brain tumor classification using deep learning and robust feature selection: A machine learning application for radiologists, Multidisciplinary Digital Publishing Institute, Diagnostics, 8, 565, 2020, Cites: 37
Accurate and fast URL phishing detector: A convolutional neural network approach
Wei Wei and Qiao Ke and Jakub Nowak and Marcin Korytkowski and Rafał Scherer and Marcin Woźniak, Accurate and fast URL phishing detector: A convolutional neural network approach, Elsevier, Computer Networks, 107275, 2020, Cites: 21
Stream data mining: Algorithms and their probabilistic properties
Leszek Rutkowski and Maciej Jaworski and Piotr Duda, Stream data mining: Algorithms and their probabilistic properties, Springer, 2020, Cites: 18
Computer vision methods for fast image classification and retrieval
Rafał Scherer, Computer vision methods for fast image classification and retrieval, Springer International Publishing, 2020, Cites: 15
Efficient image retrieval by fuzzy rules from boosting and metaheuristic
Marcin Korytkowski and Roman Šenkeřík and Magdalena M Scherer and Rafal A Angryk and Miroslaw Kordos and Agnieszka Siwocha, Efficient image retrieval by fuzzy rules from boosting and metaheuristic, Sciendo, Journal of Artificial Intelligence and Soft Computing Research, 2020, Cites: 12
Synchronization of switched discrete-time neural networks via quantized output control with actuator fault
Xinsong Yang and Xiaoxiao Wan and Cheng Zunshui and Jinde Cao and Yang Liu and Leszek Rutkowski, Synchronization of switched discrete-time neural networks via quantized output control with actuator fault, IEEE, IEEE Transactions on Neural Networks and Learning Systems, 2020, Cites: 10
Synchronization of coupled time-delay neural networks with mode-dependent average dwell time switching
Xinsong Yang and Yang Liu and Jinde Cao and Leszek Rutkowski, Synchronization of coupled time-delay neural networks with mode-dependent average dwell time switching, IEEE, IEEE transactions on neural networks and learning systems, 12, 5483-5496, 2020, Cites: 10
Asymptotic output tracking of probabilistic Boolean control networks
Bingquan Chen and Jinde Cao and Yiping Luo and Leszek Rutkowski, Asymptotic output tracking of probabilistic Boolean control networks, IEEE, IEEE Transactions on Circuits and Systems I: Regular Papers, 8, 2780-2790, 2020, Cites: 9
On training deep neural networks using a streaming approach
Piotr Duda and Maciej Jaworski and Andrzej Cader and Lipo Wang, On training deep neural networks using a streaming approach, Journal of Artificial Intelligence and Soft Computing Research, 2020, Cites: 7
Basic concepts of data stream mining
Leszek Rutkowski and Maciej Jaworski and Piotr Duda, Basic concepts of data stream mining, Springer, Cham, 13-33, 2020, Cites: 6
A new auto adaptive fuzzy hybrid particle swarm optimization and genetic algorithm
Piotr Dziwiński and Łukasz Bartczuk and Józef Paszkowski, A new auto adaptive fuzzy hybrid particle swarm optimization and genetic algorithm, Journal of Artificial Intelligence and Soft Computing Research, 2020, Cites: 6
Penalty Method for Constrained Distributed Quaternion-Variable Optimization
Zicong Xia and Yang Liu and Jianquan Lu and Jinde Cao and Leszek Rutkowski, Penalty Method for Constrained Distributed Quaternion-Variable Optimization, IEEE, IEEE Transactions on Cybernetics, 2020, Cites: 5
Browser fingerprint coding methods increasing the effectiveness of user identification in the web traffic
Marcin Gabryel and Konrad Grzanek and Yoichi Hayashi, Browser fingerprint coding methods increasing the effectiveness of user identification in the web traffic, Journal of Artificial Intelligence and Soft Computing Research, 2020, Cites: 5
Pearson Correlation-Based Feature Selection for Document Classification Using Balanced Training
Inzamam Mashood Nasir and Muhammad Attique Khan and Mussarat Yasmin and Jamal Hussain Shah and Marcin Gabryel and Rafał Scherer and Robertas Damaševičius, Pearson Correlation-Based Feature Selection for Document Classification Using Balanced Training, Multidisciplinary Digital Publishing Institute, Sensors, 23, 6793, 2020, Cites: 4
Quality Control of the Continuous Hot Pressing Process of Medium Density Fiberboard Using Fuzzy Failure Mode and Effects Analysis
Yunlei Lv and Yaqiu Liu and Weipeng Jing and Marcin Woźniak and Robertas Damaševičius and Rafał Scherer and Wei Wei, Quality Control of the Continuous Hot Pressing Process of Medium Density Fiberboard Using Fuzzy Failure Mode and Effects Analysis, Multidisciplinary Digital Publishing Institute, Applied Sciences, 13, 4627, 2020, Cites: 4
Modified Harris Hawks Optimizer for Solving Machine Scheduling Problems
Hamza Jouhari and Deming Lei and Mohammed AA Al-qaness and Mohamed Abd Elaziz and Robertas Damaševičius and Marcin Korytkowski and Ahmed A Ewees, Modified Harris Hawks Optimizer for Solving Machine Scheduling Problems, Multidisciplinary Digital Publishing Institute, Symmetry, 9, 1460, 2020, Cites: 4
Feature detection
Rafał Scherer, Feature detection, Springer, Cham, 7-32, 2020, Cites: 4
Sampled-data set stabilization of impulsive boolean networks based on a hybrid index model
Lin Lin and Jinde Cao and Shiyong Zhu and Leszek Rutkowski and Guoping Lu, Sampled-data set stabilization of impulsive boolean networks based on a hybrid index model, IEEE, IEEE Transactions on Control of Network Systems, 4, 1859-1869, 2020, Cites: 4
On-line signature partitioning using a population based algorithm
Marcin Zalasiński and Krystian Łapa and Krzysztof Cpałka and Krzysztof Przybyszewski and Gary G Yen, On-line signature partitioning using a population based algorithm, Journal of Artificial Intelligence and Soft Computing Research, 2020, Cites: 3
High-Resolution SAR Image Despeckling Based on Nonlocal Means Filter and Modified AA Model
Qiao Ke and Sun Zeng-guo and Yang Liu and Wei Wei and Marcin Woźniak and Rafał Scherer, High-Resolution SAR Image Despeckling Based on Nonlocal Means Filter and Modified AA Model, Hindawi, Security and Communication Networks, 2020, Cites: 3
Event-Triggering Interaction Scheme for Discrete-Time Decentralized Optimization With Nonuniform Step Sizes
Yuming Feng and Wei Zhang and Jiang Xiong and Huaqing Li and Leszek Rutkowski, Event-Triggering Interaction Scheme for Discrete-Time Decentralized Optimization With Nonuniform Step Sizes, IEEE, IEEE transactions on cybernetics, 2020, Cites: 3
Evolutionary algorithm with a configurable search mechanism
Krystian Łapa and Krzysztof Cpałka and Łukasz Laskowski and Andrzej Cader and Zhigang Zeng, Evolutionary algorithm with a configurable search mechanism, Journal of Artificial Intelligence and Soft Computing Research, 2020, Cites: 3
Fast image index for database management engines
Rafał Grycuk and Patryk Najgebauer and Miroslaw Kordos and Magdalena M Scherer and Alina Marchlewska, Fast image index for database management engines, Journal of Artificial Intelligence and Soft Computing Research, 2020, Cites: 3
Rough support vector machine for classification with interval and incomplete data
Robert K Nowicki and Konrad Grzanek and Yoichi Hayashi, Rough support vector machine for classification with interval and incomplete data, Journal of Artificial Intelligence and Soft Computing Research, 2020, Cites: 3
Decision trees in data stream mining
Leszek Rutkowski and Maciej Jaworski and Piotr Duda, Decision trees in data stream mining, Springer, Cham, 37-50, 2020, Cites: 3
Detecting visual objects by edge crawling
Rafał Grycuk and Adam Wojciechowski and Wei Wei and Agnieszka Siwocha, Detecting visual objects by edge crawling, Journal of Artificial Intelligence and Soft Computing Research, 2020, Cites: 2
Nanocomposite for photonics—Nickel pyrophosphate nanocrystals synthesised in silica nanoreactors
Magdalena Laskowska and Iwan Kityk and Oleksandr Pastukh and Mateusz Dulski and Maciej Zubko and Jarosław Jedryka and Krzysztof Cpałka and Piotr M Zieliński and Łukasz Laskowski, Nanocomposite for photonics—Nickel pyrophosphate nanocrystals synthesised in silica nanoreactors, Elsevier, Microporous and Mesoporous Materials, 110435, 2020, Cites: 2
Synthesis in Silica Nanoreactor: Copper Pyrophosphate Quantum Dots and Silver Oxide Nanocrystallites Inside Silica Mezochannels
Łukasz Laskowski and Anna Majtyka-Piłat and Krzysztof Cpałka and Maciej Zubko and Magdalena Laskowska, Synthesis in Silica Nanoreactor: Copper Pyrophosphate Quantum Dots and Silver Oxide Nanocrystallites Inside Silica Mezochannels, Multidisciplinary Digital Publishing Institute, Materials, 9, 2009, 2020, Cites: 2
A pilot study for investigating gait signatures in multi-scenario applications
Sumit Hazra and Priyankar Roy and Anup Nandy and Rafał Scherer, A pilot study for investigating gait signatures in multi-scenario applications, IEEE, 1-10, 2020, Cites: 2
Event-triggered control for output regulation of probabilistic logical systems with delays
Jingyi He and Yang Liu and Jianquan Lu and Jinde Cao and Leszek Rutkowski, Event-triggered control for output regulation of probabilistic logical systems with delays, IEEE, IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2020, Cites: 1
Probabilistic Neural Networks for the Streaming Data Classification
Leszek Rutkowski and Maciej Jaworski and Piotr Duda, Probabilistic Neural Networks for the Streaming Data Classification, Springer, Cham, 245-277, 2020, Cites: 1
A practical statistical approach to the reconstruction problem using a single slice rebinning method
Robert Cierniak and Piotr Pluta and Andrzej Kaźmierczak, A practical statistical approach to the reconstruction problem using a single slice rebinning method, Journal of Artificial Intelligence and Soft Computing Research, 2020, Cites: 1
Efficient Visual Classification by Fuzzy Rules
Marcin Korytkowski and Rafał Scherer and Dominik Szajerman and Dawid Połap and Marcin Woźniak, Efficient Visual Classification by Fuzzy Rules, IEEE, 1-6, 2020, Cites: 1
Event-triggered impulsive synchronization of discrete-time coupled neural networks with stochastic perturbations and multiple delays
Huiyuan Li and Jian-an Fang and Xiaofan Li and Leszek Rutkowski and Tingwen Huang, Event-triggered impulsive synchronization of discrete-time coupled neural networks with stochastic perturbations and multiple delays, Pergamon, Neural Networks, 447-460, 2020, Cites: 1
Visual Analysis of Computer Game Output Video Stream for Gameplay Metrics
Kamil Kozłowski and Marcin Korytkowski and Dominik Szajerman, Visual Analysis of Computer Game Output Video Stream for Gameplay Metrics, Springer, Cham, 538-552, 2020, Cites: 1
GhoMR: Multi-Receptive Lightweight Residual Modules for Hyperspectral Classification
Arijit Das and Indrajit Saha and Rafał Scherer, GhoMR: Multi-Receptive Lightweight Residual Modules for Hyperspectral Classification, Multidisciplinary Digital Publishing Institute, Sensors, 23, 6823, 2020, Cites: 1
Fully convolutional network for removing DCT artefacts from images
Patryk Najgebauer and Rafał Scherer and Leszek Rutkowski, Fully convolutional network for removing DCT artefacts from images, IEEE, 1-8, 2020, Cites: 1
A Novel Explainable Recommender for Investment Managers
Tomasz Rutkowski and Radosław Nielek and Danuta Rutkowska and Leszek Rutkowski, A Novel Explainable Recommender for Investment Managers, Springer, Cham, 412-422, 2020, Cites: 1
Hybrid Splitting Criteria
Leszek Rutkowski and Maciej Jaworski and Piotr Duda, Hybrid Splitting Criteria, Springer, Cham, 91-113, 2020, Cites: 1
Normal Grouping Density Separation (NGDS): A Novel Object-Driven Indoor Point Cloud Partition Method
Jakub Walczak and Grzegorz Andrzejczak and Rafał Scherer and Adam Wojciechowski, Normal Grouping Density Separation (NGDS): A Novel Object-Driven Indoor Point Cloud Partition Method, Springer, Cham, 100-114, 2020, Cites: 1
Fingerprinting of URL logs: continuous user authentication from behavioural patterns
Jakub Nowak and Taras Holotyak and Marcin Korytkowski and Rafał Scherer and Slava Voloshynovskiy, Fingerprinting of URL logs: continuous user authentication from behavioural patterns, Springer, Cham, 184-195, 2020, Cites: 1
Intelligent recommendation of related items based on naive bayes and collaborative filtering combination model
Wei Wei and Zhuo Wang and Changlong Fu and Robertas Damaševičius and Rafal Scherer and Marcin Wožniak, Intelligent recommendation of related items based on naive bayes and collaborative filtering combination model, IOP Publishing, Journal of Physics: Conference Series, 1, 012043, 2020, Cites: 1
Splitting Criteria with the Bias Term
Leszek Rutkowski and Maciej Jaworski and Piotr Duda, Splitting Criteria with the Bias Term, Springer, Cham, 83-89, 2020, Cites: 0
Concept Drift Detection Using Autoencoders in Data Streams Processing
Maciej Jaworski and Leszek Rutkowski and Plamen Angelov, Concept Drift Detection Using Autoencoders in Data Streams Processing, Springer, Cham, 124-133, 2020, Cites: 0
An interpretable fuzzy system in the on-line signature scalable verification
Marcin Zalasiński and Krzysztof Cpałka and Krystian Łapa, An interpretable fuzzy system in the on-line signature scalable verification, IEEE, 1-9, 2020, Cites: 0
Final Remarks and Challenging Problems
Leszek Rutkowski and Maciej Jaworski and Piotr Duda, Final Remarks and Challenging Problems, Springer, Cham, 323-327, 2020, Cites: 0
A Population-Based Method with Selection of a Search Operator
Krystian Łapa and Krzysztof Cpałka and Tacjana Niksa-Rynkiewicz and Lipo Wang, A Population-Based Method with Selection of a Search Operator, Springer, Cham, 429-444, 2020, Cites: 0
Cascade PID Controller Optimization Using Bison Algorithm
Anezka Kazikova and Krystian Łapa and Michal Pluhacek and Roman Senkerik, Cascade PID Controller Optimization Using Bison Algorithm, Springer, Cham, 406-416, 2020, Cites: 0
Artificial Intelligence and Soft Computing: 19th International Conference, ICAISC 2020, Zakopane, Poland, October 12-14, 2020, Proceedings, Part II
Leszek Rutkowski and Rafał Scherer and Marcin Korytkowski and Witold Pedrycz and Ryszard Tadeusiewicz and Jacek M Zurada, Artificial Intelligence and Soft Computing: 19th International Conference, ICAISC 2020, Zakopane, Poland, October 12-14, 2020, Proceedings, Part II, Springer Nature, 2020, Cites: 0
Concluding Remarks and Perspectives in Computer Vision
Rafał Scherer, Concluding Remarks and Perspectives in Computer Vision, Springer, Cham, 137-137, 2020, Cites: 0
A new approach to descriptors generation for image retrieval by analyzing activations of deep neural network layers
Paweł Staszewski and Maciej Jaworski and Jinde Cao and Leszek Rutkowski, A new approach to descriptors generation for image retrieval by analyzing activations of deep neural network layers, arXiv preprint arXiv:2007.06624, 2020, Cites: 0
Triangular fuzzy-rough set based fuzzification of fuzzy rule-based systems
Janusz T Starczewski and Piotr Goetzen and Christian Napoli, Triangular fuzzy-rough set based fuzzification of fuzzy rule-based systems, Journal of Artificial Intelligence and Soft Computing Research, 2020, Cites: 0
Novel Fast Binary Hash for Content-based Solar Image Retrieval
Rafał Grycuk and Rafał Scherer, Novel Fast Binary Hash for Content-based Solar Image Retrieval, IEEE, 1-7, 2020, Cites: 0
Misclassification Error Impurity Measure
Leszek Rutkowski and Maciej Jaworski and Piotr Duda, Misclassification Error Impurity Measure, Springer, Cham, 63-82, 2020, Cites: 0
FastText and XGBoost Content-Based Classification for Employment Web Scraping
Arkadiusz Talun and Pawel Drozda and Leszek Bukowski and Rafał Scherer, FastText and XGBoost Content-Based Classification for Employment Web Scraping, Springer, Cham, 435-444, 2020, Cites: 0
Regression
Leszek Rutkowski and Maciej Jaworski and Piotr Duda, Regression, Springer, Cham, 309-322, 2020, Cites: 0
Image Indexing Techniques
Rafał Scherer, Image Indexing Techniques, Springer, Cham, 33-82, 2020, Cites: 0
A novel drift detection algorithm based on features’ importance analysis in a data streams environment
Piotr Duda and Krzysztof Przybyszewski and Lipo Wang, A novel drift detection algorithm based on features’ importance analysis in a data streams environment, Journal of Artificial Intelligence and Soft Computing Research, 2020, Cites: 0
Methods of Searching for Similar Device Fingerprints Using Changes in Unstable Parameters
Marcin Gabryel and Krzysztof Przybyszewski, Methods of Searching for Similar Device Fingerprints Using Changes in Unstable Parameters, Springer, Cham, 325-335, 2020, Cites: 0
Experimental Investigation of Recurrent Neural Network Fractional-Order Sliding Mode Control of Active Power Filter
Bingquan Chen and Jinde Cao and Guoping Lu and Leszek Rutkowski, Experimental Investigation of Recurrent Neural Network Fractional-Order Sliding Mode Control of Active Power Filter, IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS, 11, 2537-2541, 2020, Cites: 0
Klasyfikacja obrazów w tomografii komputerowej z wykorzystaniem głębokich sieci neuronowych
Jolanta Podolszańska, Klasyfikacja obrazów w tomografii komputerowej z wykorzystaniem głębokich sieci neuronowych, INDYGO Media, Inżynier i Fizyk Medyczny, 4, 235-237, 2020, Cites: 0
Research on variable scale algorithm
Wei Wei and MingWei Hui and BeiBei Zhang and Rafal Scherer and Fan Gao and Robertas Damaševičius, Research on variable scale algorithm, IEEE, 316-322, 2020, Cites: 0
General Non-parametric Learning Procedure for Tracking Concept Drift
Leszek Rutkowski and Maciej Jaworski and Piotr Duda, General Non-parametric Learning Procedure for Tracking Concept Drift, Springer, Cham, 155-172, 2020, Cites: 0
Educational Management System
Wei Wei and Xiaowan Li and Beibei Zhang and Xia Liu and Rafal Scherer and Robertas Damaševičius, Educational Management System, IEEE, 53-56, 2020, Cites: 0
General Decay Stability for Nonautonomous Neutral Stochastic Systems With Time-Varying Delays and Markovian Switching
Lichao Feng and Lei Liu and Jinde Cao and Leszek Rutkowski and Guoping Lu, General Decay Stability for Nonautonomous Neutral Stochastic Systems With Time-Varying Delays and Markovian Switching, IEEE, IEEE Transactions on Cybernetics, 2020, Cites: 0
Prediction of Streamflow Based on Dynamic Sliding Window LSTM
Limei Dong and Desheng Fang and Xi Wang and Wei Wei and Robertas Damaševičius and Rafał Scherer and Marcin Woźniak, Prediction of Streamflow Based on Dynamic Sliding Window LSTM, Multidisciplinary Digital Publishing Institute, Water, 11, 3032, 2020, Cites: 0
Fast iterative image reconstruction method for emission tomography
Robert Cierniak, Fast iterative image reconstruction method for emission tomography, 2020, Cites: 0
Complex systems and networks with their applications
Jin-de Cao and Yang Liu and Jian-quan Lu and Leszek Rutkowski, Complex systems and networks with their applications, Zhejiang University Press, 195-198, 2020, Cites: 0
Basic Concepts of Probabilistic Neural Networks
Leszek Rutkowski and Maciej Jaworski and Piotr Duda, Basic Concepts of Probabilistic Neural Networks, Springer, Cham, 117-154, 2020, Cites: 0
Design and implementation of forward modeling algorithm for anisotropic seismic waves
Wei Wei and Fan Gao and BeiBei Zhang and Rafal Scherer and Mingwei Hui and Robertas Damasevicius, Design and implementation of forward modeling algorithm for anisotropic seismic waves, IEEE, 341-350, 2020, Cites: 0
Grouping Handwritten Letter Strokes Using a Fuzzy Decision Tree
Michał Wróbel and Janusz T Starczewski and Christian Napoli, Grouping Handwritten Letter Strokes Using a Fuzzy Decision Tree, Springer, Cham, 103-113, 2020, Cites: 0
Discovering Sequential Patterns by Neural Networks
Jakub Nowak and Marcin Korytkowski and Rafał Scherer, Discovering Sequential Patterns by Neural Networks, IEEE, 1-6, 2020, Cites: 0
The Dynamic Signature Verification Using population-Based Vertical Partitioning
Marcin Zalasiński and Krzysztof Cpałka and Tacjana Niksa-Rynkiewicz, The Dynamic Signature Verification Using population-Based Vertical Partitioning, Springer, Cham, 569-579, 2020, Cites: 0
Explainable Cluster-Based Rules Generation for Image Retrieval and Classification
Paweł Staszewski and Maciej Jaworski and Leszek Rutkowski and Dacheng Tao, Explainable Cluster-Based Rules Generation for Image Retrieval and Classification, Springer, Cham, 85-94, 2020, Cites: 0
Nonlinear Fuzzy Modelling of Dynamic Objects with Fuzzy Hybrid Particle Swarm Optimization and Genetic Algorithm
Łukasz Bartczuk and Piotr Dziwiński and Piotr Goetzen, Nonlinear Fuzzy Modelling of Dynamic Objects with Fuzzy Hybrid Particle Swarm Optimization and Genetic Algorithm, Springer, Cham, 315-325, 2020, Cites: 0
Image Retrieval and Classification in Relational Databases
Rafał Scherer, Image Retrieval and Classification in Relational Databases, Springer, Cham, 107-136, 2020, Cites: 0
Statistical Iterative Reconstruction Algorithm Based on a Continuous-to-Continuous Model Formulated for Spiral Cone-Beam CT
Robert Cierniak and Piotr Pluta, Statistical Iterative Reconstruction Algorithm Based on a Continuous-to-Continuous Model Formulated for Spiral Cone-Beam CT, Springer, Cham, 613-620, 2020, Cites: 0
Visual Hybrid Recommendation Systems Based on the Content-Based Filtering
Piotr Woldan and Piotr Duda and Yoichi Hayashi, Visual Hybrid Recommendation Systems Based on the Content-Based Filtering, Springer, Cham, 455-465, 2020, Cites: 0
Nanostructured Silica with Anchoring Units: The 2D Solid Solvent for Molecules and Metal Ions
Magdalena Laskowska and Oleksandr Pastukh and Andrii Fedorchuk and Mateusz Schabikowski and Paweł Kowalczyk and Marcin Zalasiński and Łukasz Laskowski, Nanostructured Silica with Anchoring Units: The 2D Solid Solvent for Molecules and Metal Ions, Multidisciplinary Digital Publishing Institute, 21, 8137, 2020, Cites: 0
Job Offer Analysis Using Convolutional and Recurrent Convolutional Networks
Jakub Nowak and Kamila Milkowska and Magdalena Scherer and Arkadiusz Talun and Marcin Korytkowski, Job Offer Analysis Using Convolutional and Recurrent Convolutional Networks, Springer, Cham, 380-387, 2020, Cites: 0
Signature Partitioning Using Selected Population-Based Algorithms
Marcin Zalasiński and Krzysztof Cpałka and Tacjana Niksa-Rynkiewicz and Yoichi Hayashi, Signature Partitioning Using Selected Population-Based Algorithms, Springer, Cham, 480-488, 2020, Cites: 0
The General Procedure of Ensembles Construction in Data Stream Scenarios
Leszek Rutkowski and Maciej Jaworski and Piotr Duda, The General Procedure of Ensembles Construction in Data Stream Scenarios, Springer, Cham, 281-286, 2020, Cites: 0
Splitting Criteria Based on the McDiarmid’s Theorem
Leszek Rutkowski and Maciej Jaworski and Piotr Duda, Splitting Criteria Based on the McDiarmid’s Theorem, Springer, Cham, 51-62, 2020, Cites: 0
On a Streaming Approach for Training Denoising Auto-encoders
Piotr Duda and Lipo Wang, On a Streaming Approach for Training Denoising Auto-encoders, Springer, Cham, 315-324, 2020, Cites: 0
Active Region-Based Full-Disc Solar Image Hashing
Rafał Grycuk and Kelton Costa and Rafał Scherer, Active Region-Based Full-Disc Solar Image Hashing, Springer, Cham, 19-30, 2020, Cites: 0
Encoder-Decoder Based CNN Structure for Microscopic Image Identification
Dawid Połap and Marcin Wozniak and Marcin Korytkowski and Rafał Scherer, Encoder-Decoder Based CNN Structure for Microscopic Image Identification, Springer, Cham, 301-312, 2020, Cites: 0
Introduction and Overview of the Main Results of the Book
Leszek Rutkowski and Maciej Jaworski and Piotr Duda, Introduction and Overview of the Main Results of the Book, Springer, Cham, 1-10, 2020, Cites: 0
Novel Methods for Image Description
Rafał Scherer, Novel Methods for Image Description, Springer, Cham, 83-105, 2020, Cites: 0
Nonparametric Regression Models for Data Streams Based on the Generalized Regression Neural Networks
Leszek Rutkowski and Maciej Jaworski and Piotr Duda, Nonparametric Regression Models for Data Streams Based on the Generalized Regression Neural Networks, Springer, Cham, 173-244, 2020, Cites: 0
Online Job Search and Recruitment Platform for College Students Based on SSH
Wei Wei and Bin Wang and Beibei Zhang and Rafal Scherer and Robertas Damaševičius, Online Job Search and Recruitment Platform for College Students Based on SSH, IEEE, 355-358, 2020, Cites: 0

2019 (51)

Constrained quaternion-variable convex optimization: a quaternion-valued recurrent neural network approach
Yang Liu and Yanling Zheng and Jianquan Lu and Jinde Cao and Leszek Rutkowski, Constrained quaternion-variable convex optimization: a quaternion-valued recurrent neural network approach, IEEE, IEEE transactions on neural networks and learning systems, 3, 1022-1035, 2019, Cites: 40
Anti-synchronization in fixed time for discontinuous reaction–diffusion neural networks with time-varying coefficients and time delay
Zengyun Wang and Jinde Cao and Zuowei Cai and Leszek Rutkowski, Anti-synchronization in fixed time for discontinuous reaction–diffusion neural networks with time-varying coefficients and time delay, IEEE, IEEE transactions on cybernetics, 6, 2758-2769, 2019, Cites: 23
Robust event-triggered control invariance of probabilistic Boolean control networks
Lin Lin and Jinde Cao and Leszek Rutkowski, Robust event-triggered control invariance of probabilistic Boolean control networks, IEEE, IEEE transactions on neural networks and learning systems, 3, 1060-1065, 2019, Cites: 21
Distributed dynamic self-triggered control for uncertain complex networks with Markov switching topologies and random time-varying delay
Xuegang Tan and Jinde Cao and Leszek Rutkowski, Distributed dynamic self-triggered control for uncertain complex networks with Markov switching topologies and random time-varying delay, IEEE, IEEE Transactions on Network Science and Engineering, 3, 1111-1120, 2019, Cites: 19
Hemigen: human embryo image generator based on generative adversarial networks
Darius Dirvanauskas and Rytis Maskeliūnas and Vidas Raudonis and Robertas Damaševičius and Rafal Scherer, Hemigen: human embryo image generator based on generative adversarial networks, Multidisciplinary Digital Publishing Institute, Sensors, 16, 3578, 2019, Cites: 15
Lyapunov Functions for the Set Stability and the Synchronization of Boolean Control Networks
Bingquan Chen and Jinde Cao and Guoping Lu and Leszek Rutkowski, Lyapunov Functions for the Set Stability and the Synchronization of Boolean Control Networks, IEEE, IEEE Transactions on Circuits and Systems II: Express Briefs, 11, 2537-2541, 2019, Cites: 13
Distributed dynamic self-triggered impulsive control for consensus networks: The case of impulse gain with normal distribution
Xuegang Tan and Jinde Cao and Leszek Rutkowski and Guoping Lu, Distributed dynamic self-triggered impulsive control for consensus networks: The case of impulse gain with normal distribution, IEEE, IEEE transactions on cybernetics, 2019, Cites: 13
Meta-optimization of Multi-objective Population-based Algorithms using Multi-objective Performance Metrics
Krystian Łapa, Meta-optimization of Multi-objective Population-based Algorithms using Multi-objective Performance Metrics, Elsevier, Information Sciences, 193-204, 2019, Cites: 8
On explainable fuzzy recommenders and their performance evaluation
Tomasz Rutkowski and Krystian Łapa and Radosław Nielek, On explainable fuzzy recommenders and their performance evaluation, International Journal of Applied Mathematics and Computer Science, 3, 2019, Cites: 8
A New Hybrid Particle Swarm Optimization and Genetic Algorithm Method Controlled by Fuzzy Logic
Piotr Dziwiński and Łukasz Bartczuk, A New Hybrid Particle Swarm Optimization and Genetic Algorithm Method Controlled by Fuzzy Logic, IEEE, IEEE Transactions on Fuzzy Systems, 2019, Cites: 8
Resource-aware data stream mining using the Restricted Boltzmann Machine
Maciej Jaworski and Leszek Rutkowski and Piotr Duda and Andrzej Cader, Resource-aware data stream mining using the Restricted Boltzmann Machine, Springer, Cham, 384-396, 2019, Cites: 7
On explainable flexible fuzzy recommender and its performance evaluation using the akaike information criterion
Tomasz Rutkowski and Krystian Łapa and Maciej Jaworski and Radosław Nielek and Danuta Rutkowska, On explainable flexible fuzzy recommender and its performance evaluation using the akaike information criterion, Springer, Cham, 717-724, 2019, Cites: 7
Distributed image retrieval with colour and keypoint features
Michał Ła̧giewka and Marcin Korytkowski and Rafal Scherer, Distributed image retrieval with colour and keypoint features, Taylor & Francis, Journal of Information and Telecommunication, 4, 430-445, 2019, Cites: 5
On explainable recommender systems based on fuzzy rule generation techniques
Tomasz Rutkowski and Krystian Łapa and Robert Nowicki and Radosław Nielek and Konrad Grzanek, On explainable recommender systems based on fuzzy rule generation techniques, Springer, Cham, 358-372, 2019, Cites: 5
A new hybrid particle swarm optimization and evolutionary algorithm
Piotr Dziwiński and Łukasz Bartczuk and Piotr Goetzen, A new hybrid particle swarm optimization and evolutionary algorithm, Springer, Cham, 432-444, 2019, Cites: 4
Multipopulation Nature-Inspired Algorithm (MNIA) for the Designing of Interpretable Fuzzy Systems
Adam Słowik and Krzysztof Cpałka and Krystian Łapa, Multipopulation Nature-Inspired Algorithm (MNIA) for the Designing of Interpretable Fuzzy Systems, IEEE, IEEE Transactions on Fuzzy Systems, 6, 1125-1139, 2019, Cites: 4
The method of predicting changes of a dynamic signature using possibilities of population-based algorithms
Marcin Zalasiński and Krystian Łapa and Krzysztof Cpałka and Alina Marchlewska, The method of predicting changes of a dynamic signature using possibilities of population-based algorithms, Springer, Cham, 540-549, 2019, Cites: 3
Hybrid multi-population based approach for controllers structure and parameters selection
Krystian Łapa and Krzysztof Cpałka and Józef Paszkowski, Hybrid multi-population based approach for controllers structure and parameters selection, Springer, Cham, 456-468, 2019, Cites: 3
Rough Set-Based Classification Systems
Robert K Nowicki, Rough Set-Based Classification Systems, Springer, 2019, Cites: 3
Algorithm Based on Population with a Flexible Search Mechanism
Krystian Łapa and Krzysztof Cpałka and Marcin Zalasiński, Algorithm Based on Population with a Flexible Search Mechanism, IEEE, IEEE Access, 132253-132270, 2019, Cites: 2
Application of spiking neural networks to fashion classification
Piotr Opiełka and Janusz T Starczewski and Michał Wróbel and Katarzyna Nieszporek and Alina Marchlewska, Application of spiking neural networks to fashion classification, Springer, Cham, 172-180, 2019, Cites: 2
The dynamically modified BoW algorithm used in assessing clicks in online ads
Marcin Gabryel and Krzysztof Przybyszewski, The dynamically modified BoW algorithm used in assessing clicks in online ads, Springer, Cham, 350-360, 2019, Cites: 2
Rough set theory fundamentals
Robert K Nowicki, Rough set theory fundamentals, Springer, Cham, 7-16, 2019, Cites: 2
Intelligent Approach to the Prediction of Changes in Biometric Attributes
Marcin Zalasiński and Krystian Łapa and Magdalena Laskowska, Intelligent Approach to the Prediction of Changes in Biometric Attributes, IEEE, IEEE Transactions on Fuzzy Systems, 6, 1073-1083, 2019, Cites: 2
URL-based Phishing Attack Detection by Convolutional Neural Network
Jakub Nowak and Marcin Korytkowski and Marcin Wozniak and Patryk Najgebauer and Rafal Scherer, URL-based Phishing Attack Detection by Convolutional Neural Network, 2, 60-67, 2019, Cites: 2
URL-based Phishing Attack Detection by Convolutional Neural Networks.
Jakub Nowak and Marcin Korytkowski and Marcin Wozniak and Rafal Scherer, URL-based Phishing Attack Detection by Convolutional Neural Networks., Aust. J. Intell. Inf. Process. Syst., 2, 60-67, 2019, Cites: 2
Exponential stabilization for hybrid recurrent neural networks by delayed noises rooted in discrete observations of state and mode
Lichao Feng and Jinde Cao and Jun Hu and Zhihui Wu and Leszek Rutkowski, Exponential stabilization for hybrid recurrent neural networks by delayed noises rooted in discrete observations of state and mode, Springer US, Neural Processing Letters, 3, 2797-2819, 2019, Cites: 2
Inertia-based Fast Vectorization of Line Drawings
Patryk Najgebauer and Rafał Scherer, Inertia-based Fast Vectorization of Line Drawings, https://diglib.eg.org/handle/10.1111/cgf13829?show=full, 7, 203-213, 2019, Cites: 2
Convolutional recurrent neural networks for computer network analysis
Jakub Nowak and Marcin Korytkowski and Rafał Scherer, Convolutional recurrent neural networks for computer network analysis, Springer, Cham, 747-757, 2019, Cites: 1
A greedy algorithm for extraction of handwritten strokes
Michał Wróbel and Janusz T Starczewski and Katarzyna Nieszporek and Piotr Opiełka and Andrzej Kaźmierczak, A greedy algorithm for extraction of handwritten strokes, Springer, Cham, 464-473, 2019, Cites: 1
On handling missing values in data stream mining algorithms based on the restricted Boltzmann machine
Maciej Jaworski and Piotr Duda and Danuta Rutkowska and Leszek Rutkowski, On handling missing values in data stream mining algorithms based on the restricted Boltzmann machine, Springer, Cham, 347-354, 2019, Cites: 1
Software framework for fast image retrieval
Rafal Grycuk and Rafal Scherer, Software framework for fast image retrieval, IEEE, 588-593, 2019, Cites: 1
Rough Neural Network Classifier
Robert K Nowicki, Rough Neural Network Classifier, Springer, Cham, 95-132, 2019, Cites: 1
Sequential Data Mining of Network Traffic in URL Logs
Marcin Korytkowski and Jakub Nowak and Robert Nowicki and Kamila Milkowska and Magdalena Scherer and Piotr Goetzen, Sequential Data Mining of Network Traffic in URL Logs, Springer, Cham, 125-130, 2019, Cites: 1
Microscopic sample segmentation by fully convolutional network for parasite detection
Patryk Najgebauer and Rafał Grycuk and Leszek Rutkowski and Rafał Scherer and Agnieszka Siwocha, Microscopic sample segmentation by fully convolutional network for parasite detection, Springer, Cham, 164-171, 2019, Cites: 1
Multilayer Architecture for Content-based Image Retrieval Systems
Rafal Grycuk and Patryk Najgebauer and Robert Nowicki and Rafal Scherer, Multilayer Architecture for Content-based Image Retrieval Systems, IEEE, 119-126, 2019, Cites: 1
Optimal Control on Finite-Time Consensus of the Leader-Following Stochastic Multiagent System With Heuristic Method
Shaosheng Xu and Jinde Cao and Qingshan Liu and Leszek Rutkowski, Optimal Control on Finite-Time Consensus of the Leader-Following Stochastic Multiagent System With Heuristic Method, IEEE, IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2019, Cites: 1
Fuzzy-rough Fuzzification in General FL Classifiers.
Janusz T Starczewski and Robert K Nowicki and Katarzyna Nieszporek, Fuzzy-rough Fuzzification in General FL Classifiers., 335-342, 2019, Cites: 1
Iterative Statistical Reconstruction Algorithm Based on CC Data Model with the Direct Use of Projections Performed in Spiral Cone-Beam CT Scanners
Robert Cierniak and Piotr Pluta, Iterative Statistical Reconstruction Algorithm Based on CC Data Model with the Direct Use of Projections Performed in Spiral Cone-Beam CT Scanners, Springer, Cham, 56-66, 2019, Cites: 0
Rough Fuzzy Classification Systems
Robert K Nowicki, Rough Fuzzy Classification Systems, Springer, Cham, 17-70, 2019, Cites: 0
Fuzzy Rough Classification Systems
Robert K Nowicki, Fuzzy Rough Classification Systems, Springer, Cham, 71-93, 2019, Cites: 0
Corrigendum to ‘How to adjust an ensemble size in stream data mining?’Information Sciences, vol. 381 (2017), pp. 46-54
Lena Pietruczuk and Leszek Rutkowski and Maciej Jaworski and Piotr Duda, Corrigendum to ‘How to adjust an ensemble size in stream data mining?’Information Sciences, vol. 381 (2017), pp. 46-54, Elsevier, Information Sciences, 545, 2019, Cites: 0
Realizations of the Statistical Reconstruction Method Based on the Continuous-to-Continuous Data Model
Robert Cierniak and Jarosław Bilski and Piotr Pluta and Zbigniew Filutowicz, Realizations of the Statistical Reconstruction Method Based on the Continuous-to-Continuous Data Model, Springer, Cham, 149-156, 2019, Cites: 0
Discovering Sequences in Systems Logs by Neural Networks
Jakub Nowak and Marcin Korytkowski and Marcin Wozniak and Rafal Scherer, Discovering Sequences in Systems Logs by Neural Networks, 2, 69-76, 2019, Cites: 0
Discovering Sequences in Systems Logs by Neural Networks.
Jakub Nowak and Marcin Korytkowski and Marcin Wozniak and Rafal Scherer, Discovering Sequences in Systems Logs by Neural Networks., Aust. J. Intell. Inf. Process. Syst., 2, 69-76, 2019, Cites: 0
On Proper Designing of Deep Structures for Image Classification
Piotr Woldan and Paweł Staszewski and Leszek Rutkowski and Konrad Grzanek, On Proper Designing of Deep Structures for Image Classification, Springer, Cham, 223-235, 2019, Cites: 0
On the Hermite Series-Based Generalized Regression Neural Networks for Stream Data Mining
Danuta Rutkowska and Leszek Rutkowski, On the Hermite Series-Based Generalized Regression Neural Networks for Stream Data Mining, Springer, Cham, 437-448, 2019, Cites: 0
EM-ML algorithm based on continuous-to-continuous model for PET
Robert Cierniak and Piotr Dobosz and Andrzej Grzybowski, EM-ML algorithm based on continuous-to-continuous model for PET, International Society for Optics and Photonics, 1107236, 2019, Cites: 0
Artificial Intelligence and Soft Computing: 18th International Conference, ICAISC 2019, Zakopane, Poland, June 16–20, 2019, Proceedings, Part II
Leszek Rutkowski and Rafał Scherer and Marcin Korytkowski and Witold Pedrycz and Ryszard Tadeusiewicz and Jacek M Zurada, Artificial Intelligence and Soft Computing: 18th International Conference, ICAISC 2019, Zakopane, Poland, June 16–20, 2019, Proceedings, Part II, Springer, 2019, Cites: 0
Ensembles of Rough Set–Based Classifiers
Robert K Nowicki, Ensembles of Rough Set–Based Classifiers, Springer, Cham, 161-184, 2019, Cites: 0
Rough Nearest Neighbour Classifier
Robert K Nowicki, Rough Nearest Neighbour Classifier, Springer, Cham, 133-159, 2019, Cites: 0

2018 (33)

Convergent time-varying regression models for data streams: Tracking concept drift by the recursive Parzen-based generalized regression neural networks
Piotr Duda and Maciej Jaworski and Leszek Rutkowski, Convergent time-varying regression models for data streams: Tracking concept drift by the recursive Parzen-based generalized regression neural networks, World Scientific Publishing Company, International journal of neural systems, 02, 1750048, 2018, Cites: 25
Knowledge discovery in data streams with the orthogonal series-based generalized regression neural networks
Piotr Duda and Maciej Jaworski and Leszek Rutkowski, Knowledge discovery in data streams with the orthogonal series-based generalized regression neural networks, Elsevier, Information Sciences, 497-518, 2018, Cites: 23
On the Parzen kernel-based probability density function learning procedures over time-varying streaming data with applications to pattern classification
Piotr Duda and Leszek Rutkowski and Maciej Jaworski and Danuta Rutkowska, On the Parzen kernel-based probability density function learning procedures over time-varying streaming data with applications to pattern classification, IEEE, IEEE transactions on cybernetics, 4, 1683-1696, 2018, Cites: 23
A content-based recommendation system using neuro-fuzzy approach
Tomasz Rutkowski and Jakub Romanowski and Piotr Woldan and Paweł Staszewski and Radosław Nielek and Leszek Rutkowski, A content-based recommendation system using neuro-fuzzy approach, IEEE, 1-8, 2018, Cites: 21
The Bag-of-Words Method with Different Types of Image Features and Dictionary Analysis.
Marcin Gabryel, The Bag-of-Words Method with Different Types of Image Features and Dictionary Analysis., J. UCS, 4, 357-371, 2018, Cites: 15
Prediction of values of the dynamic signature features
Marcin Zalasiński and Krystian Łapa and Krzysztof Cpałka, Prediction of values of the dynamic signature features, Pergamon, Expert Systems with Applications, 86-96, 2018, Cites: 14
New aspects of interpretability of fuzzy systems for nonlinear modeling
Krystian Łapa and Krzysztof Cpałka and Leszek Rutkowski, New aspects of interpretability of fuzzy systems for nonlinear modeling, Springer, Cham, 225-264, 2018, Cites: 11
A new method for signature verification based on selection of the most important partitions of the dynamic signature
Marcin Zalasiński and Krzysztof Cpałka, A new method for signature verification based on selection of the most important partitions of the dynamic signature, Elsevier, Neurocomputing, 13-22, 2018, Cites: 11
Genetic programming algorithm for designing of control systems
Krzysztof Cpalka and Krystian Łapa and Andrzej Przybył, Genetic programming algorithm for designing of control systems, Information Technology and Control, 4, 668-683, 2018, Cites: 10
Data analysis algorithm for click fraud recognition
Marcin Gabryel, Data analysis algorithm for click fraud recognition, Springer, Cham, 437-446, 2018, Cites: 10
Concept drift detection in streams of labelled data using the restricted Boltzmann machine
Maciej Jaworski and Piotr Duda and Leszek Rutkowski, Concept drift detection in streams of labelled data using the restricted Boltzmann machine, IEEE, 1-7, 2018, Cites: 9
Random forests for profiling computer network users
Jakub Nowak and Marcin Korytkowski and Robert Nowicki and Rafał Scherer and Agnieszka Siwocha, Random forests for profiling computer network users, Springer, Cham, 734-739, 2018, Cites: 9
Fuzzy-genetic approach to identity verification using a handwritten signature
Marcin Zalasiński and Krzysztof Cpałka and Leszek Rutkowski, Fuzzy-genetic approach to identity verification using a handwritten signature, Springer, Cham, 375-394, 2018, Cites: 8
Negative space-based population initialization algorithm (NSPIA)
Krystian Łapa and Krzysztof Cpałka and Andrzej Przybył and Konrad Grzanek, Negative space-based population initialization algorithm (NSPIA), Springer, Cham, 449-461, 2018, Cites: 8
Online GRNN-based ensembles for regression on evolving data streams
Piotr Duda and Maciej Jaworski and Leszek Rutkowski, Online GRNN-based ensembles for regression on evolving data streams, Springer, Cham, 221-228, 2018, Cites: 7
Multi-objective evolutionary instance selection for regression tasks
Mirosław Kordos and Krystian Łapa, Multi-objective evolutionary instance selection for regression tasks, Multidisciplinary Digital Publishing Institute, Entropy, 10, 746, 2018, Cites: 7
Hard real-time communication solution for mechatronic systems
A. Przybył, Hard real-time communication solution for mechatronic systems, Elsevier Ltd., Robotics and Computer-Integrated Manufacturing, 309-316, 2018, Cites: 6
Application of the bag-of-words algorithm in classification the quality of sales leads
Marcin Gabryel and Robertas Damaševičius and Krzysztof Przybyszewski, Application of the bag-of-words algorithm in classification the quality of sales leads, Springer, Cham, 615-622, 2018, Cites: 5
A fuzzy measure for recognition of handwritten letter strokes
Michał Wróbel and Katarzyna Nieszporek and Janusz T Starczewski and Andrzej Cader, A fuzzy measure for recognition of handwritten letter strokes, Springer, Cham, 761-770, 2018, Cites: 4
A population based algorithm and fuzzy decision trees for nonlinear modeling
Piotr Dziwiński and Łukasz Bartczuk and Krzysztof Przybyszewski, A population based algorithm and fuzzy decision trees for nonlinear modeling, Springer, Cham, 516-531, 2018, Cites: 3
A fuzzy SOM for understanding incomplete 3d faces
Janusz T Starczewski and Katarzyna Nieszporek and Michał Wróbel and Konrad Grzanek, A fuzzy SOM for understanding incomplete 3d faces, Springer, Cham, 73-80, 2018, Cites: 3
Fast two-level image indexing based on local interest points
Patryk Najgebauer and Rafal Grycuk and Rafal Scherer, Fast two-level image indexing based on local interest points, IEEE, 613-617, 2018, Cites: 3
Classification of computer network users with convolutional neural networks
Jakub Nowak and Marcin Korytkowski and Rafal Scherer, Classification of computer network users with convolutional neural networks, IEEE, 501-504, 2018, Cites: 3
On ensemble components selection in data streams scenario with gradual concept-drift
Piotr Duda, On ensemble components selection in data streams scenario with gradual concept-drift, Springer, Cham, 311-320, 2018, Cites: 3
Rough neural network ensemble for interval data classification
Robert K Nowicki and Marcin Korytkowski and Rafal Scherer, Rough neural network ensemble for interval data classification, IEEE, 1-7, 2018, Cites: 3
Evolutionary approach for automatic design of PID controllers
Krystian Łapa and Krzysztof Cpałka, Evolutionary approach for automatic design of PID controllers, Springer, Cham, 353-373, 2018, Cites: 2
Obtaining pareto front in instance selection with ensembles and populations
Mirosław Kordos and Marcin Wydrzyński and Krystian Łapa, Obtaining pareto front in instance selection with ensembles and populations, Springer, Cham, 438-448, 2018, Cites: 2
Architecture of database index for content-based image retrieval systems
Rafał Grycuk and Patryk Najgebauer and Rafał Scherer and Agnieszka Siwocha, Architecture of database index for content-based image retrieval systems, Springer, Cham, 36-47, 2018, Cites: 2
On the Global Convergence of the Parzen-Based Generalized Regression Neural Networks Applied to Streaming Data
Jinde Cao and Leszek Rutkowski, On the Global Convergence of the Parzen-Based Generalized Regression Neural Networks Applied to Streaming Data, Springer, Cham, 25-34, 2018, Cites: 1
Stability of Features Describing the Dynamic Signature Biometric Attribute
Marcin Zalasiński and Krzysztof Cpałka and Konrad Grzanek, Stability of Features Describing the Dynamic Signature Biometric Attribute, Springer, Cham, 250-261, 2018, Cites: 0
Symbolic Regression with the AMSTA+ GP in a Non-linear Modelling of Dynamic Objects
Łukasz Bartczuk and Piotr Dziwiński and Andrzej Cader, Symbolic Regression with the AMSTA+ GP in a Non-linear Modelling of Dynamic Objects, Springer, Cham, 504-515, 2018, Cites: 0
Analytical Realization of the EM Algorithm for Emission Positron Tomography
Robert Cierniak and Piotr Dobosz and Piotr Pluta and Zbigniew Filutowicz, Analytical Realization of the EM Algorithm for Emission Positron Tomography, Springer, Cham, 127-136, 2018, Cites: 0
Correction to: Analytical Realization of the EM Algorithm for Emission Positron Tomography
Robert Cierniak and Piotr Dobosz and Piotr Pluta and Zbigniew Filutowicz, Correction to: Analytical Realization of the EM Algorithm for Emission Positron Tomography, Springer, Cham, C1-C1, 2018, Cites: 0

2017 (42)

New splitting criteria for decision trees in stationary data streams
Maciej Jaworski and Piotr Duda and Leszek Rutkowski, New splitting criteria for decision trees in stationary data streams, IEEE, IEEE transactions on neural networks and learning systems, 6, 2516-2529, 2017, Cites: 72
LSTM recurrent neural networks for short text and sentiment classification
Jakub Nowak and Ahmet Taspinar and Rafał Scherer, LSTM recurrent neural networks for short text and sentiment classification, Springer, Cham, 553-562, 2017, Cites: 72
How to adjust an ensemble size in stream data mining?
Lena Pietruczuk and Leszek Rutkowski and Maciej Jaworski and Piotr Duda, How to adjust an ensemble size in stream data mining?, Elsevier, Information Sciences, 46-54, 2017, Cites: 60
Design of interpretable fuzzy systems
Krzysztof Cpałka, Design of interpretable fuzzy systems, Springer International Publishing, 2017, Cites: 57
The image classification with different types of image features
Marcin Gabryel and Robertas Damaševičius, The image classification with different types of image features, Springer, Cham, 497-506, 2017, Cites: 29
Flexible fuzzy PID controller (FFPIDC) and a nature-inspired method for its construction
Krystian Łapa and Krzysztof Cpałka, Flexible fuzzy PID controller (FFPIDC) and a nature-inspired method for its construction, IEEE, IEEE Transactions on Industrial Informatics, 3, 1078-1088, 2017, Cites: 19
A new method for classification of imprecise data using fuzzy rough fuzzification
Robert K Nowicki and Janusz T Starczewski, A new method for classification of imprecise data using fuzzy rough fuzzification, Elsevier, Information Sciences, 33-52, 2017, Cites: 18
Novel visual information indexing in relational databases
Marcin Korytkowski, Novel visual information indexing in relational databases, IOS Press, Integrated Computer-Aided Engineering, 2, 119-128, 2017, Cites: 15
On applying the restricted Boltzmann machine to active concept drift detection
Maciej Jaworski and Piotr Duda and Leszek Rutkowski, On applying the restricted Boltzmann machine to active concept drift detection, IEEE, 1-8, 2017, Cites: 15
On ensemble components selection in data streams scenario with reoccurring concept-drift
Piotr Duda and Maciej Jaworski and Leszek Rutkowski, On ensemble components selection in data streams scenario with reoccurring concept-drift, IEEE, 1-7, 2017, Cites: 13
Heuristic regression function estimation methods for data streams with concept drift
Maciej Jaworski and Piotr Duda and Leszek Rutkowski and Patryk Najgebauer and Miroslaw Pawlak, Heuristic regression function estimation methods for data streams with concept drift, Springer, Cham, 726-737, 2017, Cites: 11
Handwriting recognition with extraction of letter fragments
Michal Wróbel and Janusz T Starczewski and Christian Napoli, Handwriting recognition with extraction of letter fragments, Springer, Cham, 183-192, 2017, Cites: 9
Springer: Cham
L Rutkowski and M Korytkowski and R Scherer and R Tadeusiewicz and L Zadeh and J Zurada, Springer: Cham, Switzerland, 52-63, 2017, Cites: 8
The concept on nonlinear modelling of dynamic objects based on state transition algorithm and genetic programming
Łukasz Bartczuk and Piotr Dziwiński and Vladimir G Red’ko, The concept on nonlinear modelling of dynamic objects based on state transition algorithm and genetic programming, Springer, Cham, 209-220, 2017, Cites: 8
Comparison of effectiveness of multi-objective genetic algorithms in optimization of invertible s-boxes
Tomasz Kapuściński and Robert K Nowicki and Christian Napoli, Comparison of effectiveness of multi-objective genetic algorithms in optimization of invertible s-boxes, Springer, Cham, 466-476, 2017, Cites: 8
The bag-of-words method with dictionary analysis by evolutionary algorithm
Marcin Gabryel and Giacomo Capizzi, The bag-of-words method with dictionary analysis by evolutionary algorithm, Springer, Cham, 43-51, 2017, Cites: 6
Convolutional neural networks for time series classification
Mariusz Zȩbik and Marcin Korytkowski and Rafal Angryk and Rafał Scherer, Convolutional neural networks for time series classification, Springer, Cham, 635-642, 2017, Cites: 6
A method for non-linear modelling based on the capabilities of PSO and GA algorithms
Piotr Dziwiński and Łukasz Bartczuk and Huang Tingwen, A method for non-linear modelling based on the capabilities of PSO and GA algorithms, Springer, Cham, 221-232, 2017, Cites: 5
Environment Recognition based on Images using Bag-of-Words.
Taurius Petraitis and Rytis Maskeliunas and Robertas Damasevicius and Dawid Polap and Marcin Wozniak and Marcin Gabryel, Environment Recognition based on Images using Bag-of-Words., 166-176, 2017, Cites: 5
A method for genetic selection of the most characteristic descriptors of the dynamic signature
Marcin Zalasiński and Krzysztof Cpałka and Yoichi Hayashi, A method for genetic selection of the most characteristic descriptors of the dynamic signature, Springer, Cham, 747-760, 2017, Cites: 4
Novel method for joining missing line fragments for medical image analysis
Patryk Najgebauer and Leszek Rutkowski and Rafal Scherer, Novel method for joining missing line fragments for medical image analysis, IEEE, 861-866, 2017, Cites: 4
The bag-of-words methods with pareto-fronts for similar image retrieval
Marcin Gabryel, The bag-of-words methods with pareto-fronts for similar image retrieval, Springer, Cham, 374-384, 2017, Cites: 4
Fuzzy PID controllers with FIR filtering and a method for their construction
Krystian Łapa and Krzysztof Cpałka and Andrzej Przybył and Takamichi Saito, Fuzzy PID controllers with FIR filtering and a method for their construction, Springer, Cham, 292-307, 2017, Cites: 4
Advances in data analysis with computational intelligence methods: dedicated to Professor Jacek Żurada
Adam E Gawęda and Janusz Kacprzyk and Leszek Rutkowski and Gary G Yen, Advances in data analysis with computational intelligence methods: dedicated to Professor Jacek Żurada, Springer, 2017, Cites: 4
Hybrid initialization in the process of evolutionary learning
Krystian Łapa and Krzysztof Cpałka and Yoichi Hayashi, Hybrid initialization in the process of evolutionary learning, Springer, Cham, 380-393, 2017, Cites: 4
Interest point localization based on edge detection according to gestalt laws
Patryk Najgebauer and Leszek Rutkowski and Rafal Scherer, Interest point localization based on edge detection according to gestalt laws, IEEE, 349-353, 2017, Cites: 3
A method for nonlinear fuzzy modelling using population based algorithm with flexibly selectable operators
Krystian Łapa and Krzysztof Cpałka and Lipo Wang, A method for nonlinear fuzzy modelling using population based algorithm with flexibly selectable operators, Springer, Cham, 263-278, 2017, Cites: 3
Stability evaluation of the dynamic signature partitions over time
Marcin Zalasiński and Krzysztof Cpałka and Meng Joo Er, Stability evaluation of the dynamic signature partitions over time, Springer, Cham, 733-746, 2017, Cites: 3
A method for changes prediction of the dynamic signature global features over time
Marcin Zalasiński and Krystian Łapa and Krzysztof Cpałka and Takamichi Saito, A method for changes prediction of the dynamic signature global features over time, Springer, Cham, 761-772, 2017, Cites: 3
Elastic FOPID+ FIR Controller Design Using Hybrid Population-Based Algorithm
Krystian Łapa, Elastic FOPID+ FIR Controller Design Using Hybrid Population-Based Algorithm, Springer, Cham, 15-26, 2017, Cites: 3
Detection of saliency map as image feature outliers using random projections based method
Robertas Damaševičius and Rytis Maskeliūnas and Marcin Woźniak and Dawid Polap and Tatjana Sidekerskienė and Marcin Gabryel, Detection of saliency map as image feature outliers using random projections based method, IEEE, 85-90, 2017, Cites: 3
A method for genetic selection of the dynamic signature global features’ subset
Marcin Zalasiński and Krzysztof Cpałka, A method for genetic selection of the dynamic signature global features’ subset, Springer, Cham, 73-82, 2017, Cites: 2
Population-based algorithm with selectable evolutionary operators for nonlinear modeling
Krystian Łapa, Population-based algorithm with selectable evolutionary operators for nonlinear modeling, Springer, Cham, 15-26, 2017, Cites: 2
Environment scene classification based on images using bag-of-words
Taurius Petraitis and Rytis Maskeliūnas and Robertas Damaševičius and Dawid Połap and Marcin Woźniak and Marcin Gabryel, Environment scene classification based on images using bag-of-words, Springer, Cham, 281-303, 2017, Cites: 1
A Method for Design of Hardware Emulators for a Distributed Network Environment
Andrzej Przybył and Meng Joo Er, A Method for Design of Hardware Emulators for a Distributed Network Environment, Springer, Cham, 318-336, 2017, Cites: 1
Parallel realizations of the iterative statistical reconstruction algorithm for 3D computed tomography
Robert Cierniak and Jarosław Bilski and Jacek Smola̧g and Piotr Pluta and Nimit Shah, Parallel realizations of the iterative statistical reconstruction algorithm for 3D computed tomography, Springer, Cham, 473-484, 2017, Cites: 1
Local keypoint-based image detector with object detection
Rafał Grycuk and Magdalena Scherer and Sviatoslav Voloshynovskiy, Local keypoint-based image detector with object detection, Springer, Cham, 507-517, 2017, Cites: 1
PID-fuzzy controllers with dynamic structure and evolutionary method for their construction
Krystian Łapa and Krzysztof Cpałka, PID-fuzzy controllers with dynamic structure and evolutionary method for their construction, Springer, Cham, 138-148, 2017, Cites: 1
NARX Neural Network for Prediction of Refresh Timeout in PIM–DM Multicast Routing
Nataliia Vladymyrska and Michał Wróbel and Janusz T Starczewski and Viktoriia Hnatushenko, NARX Neural Network for Prediction of Refresh Timeout in PIM–DM Multicast Routing, Springer, Cham, 199-205, 2017, Cites: 0
A New Algorithm for Online Management of Fuzzy Rules Base for Nonlinear Modeling
Krystian Łapa, A New Algorithm for Online Management of Fuzzy Rules Base for Nonlinear Modeling, Springer, Cham, 15-28, 2017, Cites: 0
Performance Evaluation of DBN Learning on Intel Multi-and Manycore Architectures
Tomasz Olas and Wojciech K Mleczko and Marcin Wozniak and Robert K Nowicki and Pawel Gepner, Performance Evaluation of DBN Learning on Intel Multi-and Manycore Architectures, Springer, Cham, 565-575, 2017, Cites: 0
Weighted Fuzzy Genetic Programming Algorithm for Structure and Parameters Selection of Fuzzy Systems for Nonlinear Modelling
Krystian Łapa and Krzysztof Cpałka, Weighted Fuzzy Genetic Programming Algorithm for Structure and Parameters Selection of Fuzzy Systems for Nonlinear Modelling, Springer, Cham, 157-174, 2017, Cites: 0

2016 (54)

Fast image classification by boosting fuzzy classifiers
Marcin Korytkowski and Leszek Rutkowski and Rafał Scherer, Fast image classification by boosting fuzzy classifiers, Elsevier, Information Sciences, 175-182, 2016, Cites: 141
A new algorithm for identity verification based on the analysis of a handwritten dynamic signature
Krzysztof Cpałka and Marcin Zalasiński and Leszek Rutkowski, A new algorithm for identity verification based on the analysis of a handwritten dynamic signature, Elsevier, Applied soft computing, 47-56, 2016, Cites: 89
A new approach to nonlinear modelling of dynamic systems based on fuzzy rules
Łukasz Bartczuk and Andrzej Przybył and Krzysztof Cpałka, A new approach to nonlinear modelling of dynamic systems based on fuzzy rules, International Journal of Applied Mathematics and Computer Science, 2016, Cites: 30
An idea of the dynamic signature verification based on a hybrid approach
Marcin Zalasiński and Krzysztof Cpałka and Elisabeth Rakus-Andersson, An idea of the dynamic signature verification based on a hybrid approach, Springer, Cham, 232-246, 2016, Cites: 27
A method for automatic adjustment of ensemble size in stream data mining
Lena Pietruczuk and Leszek Rutkowski and Maciej Jaworski and Piotr Duda, A method for automatic adjustment of ensemble size in stream data mining, IEEE, 9-15, 2016, Cites: 24
New algorithm for on-line signature verification using characteristic hybrid partitions
Marcin Zalasiński and Krzysztof Cpałka, New algorithm for on-line signature verification using characteristic hybrid partitions, Springer, Cham, 147-157, 2016, Cites: 24
Preprocessing large data sets by the use of quick sort algorithm
Marcin Woźniak and Zbigniew Marszałek and Marcin Gabryel and Robert K Nowicki, Preprocessing large data sets by the use of quick sort algorithm, Springer, Cham, 111-121, 2016, Cites: 21
Gene expression programming in correction modelling of nonlinear dynamic objects
Łukasz Bartczuk, Gene expression programming in correction modelling of nonlinear dynamic objects, Springer, Cham, 125-134, 2016, Cites: 18
The bag-of-features algorithm for practical applications using the MySQL database
Marcin Gabryel, The bag-of-features algorithm for practical applications using the MySQL database, Springer, Cham, 635-646, 2016, Cites: 18
Content-based image retrieval optimization by differential evolution
Rafał Grycuk and Marcin Gabryel and Robert Nowicki and Rafał Scherer, Content-based image retrieval optimization by differential evolution, IEEE, 86-93, 2016, Cites: 18
New algorithm for on-line signature verification using characteristic global features
Marcin Zalasiński, New algorithm for on-line signature verification using characteristic global features, Springer, Cham, 137-146, 2016, Cites: 17
A new approach to the dynamic signature verification aimed at minimizing the number of global features
Marcin Zalasiński and Krzysztof Cpałka and Yoichi Hayashi, A new approach to the dynamic signature verification aimed at minimizing the number of global features, Springer, Cham, 218-231, 2016, Cites: 17
A bag-of-features algorithm for applications using a NoSQL database
Marcin Gabryel, A bag-of-features algorithm for applications using a NoSQL database, Springer, Cham, 332-343, 2016, Cites: 16
On the application of a hybrid genetic-firework algorithm for controllers structure and parameters selection
Krystian Łapa and Krzysztof Cpałka, On the application of a hybrid genetic-firework algorithm for controllers structure and parameters selection, Springer, Cham, 111-123, 2016, Cites: 16
An application of firefly algorithm to position traffic in NoSQL database systems
Marcin Woźniak and Marcin Gabryel and Robert K Nowicki and Bartosz A Nowak, An application of firefly algorithm to position traffic in NoSQL database systems, Springer, Cham, 259-272, 2016, Cites: 15
A new method of the intelligent modeling of the nonlinear dynamic objects with fuzzy detection of the operating points
Piotr Dziwiński and Eduard D Avedyan, A new method of the intelligent modeling of the nonlinear dynamic objects with fuzzy detection of the operating points, Springer, Cham, 293-305, 2016, Cites: 12
The method of hardware implementation of fuzzy systems on FPGA
Andrzej Przybył and Meng Joo Er, The method of hardware implementation of fuzzy systems on FPGA, Springer, Cham, 284-298, 2016, Cites: 12
Application of rough sets in k nearest neighbours algorithm for classification of incomplete samples
Robert K Nowicki and Bartosz A Nowak and Marcin Woźniak, Application of rough sets in k nearest neighbours algorithm for classification of incomplete samples, Springer, Cham, 243-257, 2016, Cites: 12
A new method for generating of fuzzy rules for the nonlinear modelling based on semantic genetic programming
Łukasz Bartczuk and Krystian Łapa and Petia Koprinkova-Hristova, A new method for generating of fuzzy rules for the nonlinear modelling based on semantic genetic programming, Springer, Cham, 262-278, 2016, Cites: 10
Self organizing maps for 3D face understanding
Janusz T Starczewski and Sebastian Pabiasz and Natalia Vladymyrska and Antonino Marvuglia and Christian Napoli and Marcin Woźniak, Self organizing maps for 3D face understanding, Springer, Cham, 210-217, 2016, Cites: 9
Transient Solution for Queueing Delay Distribution in the GI/M/1/K-type Mode with “Queued” Waking up and Balking
Wojciech M Kempa and Marcin Woźniak and Robert K Nowicki and Marcin Gabryel and Robertas Damaševicius, Transient Solution for Queueing Delay Distribution in the GI/M/1/K-type Mode with “Queued” Waking up and Balking, Springer, Cham, 340-351, 2016, Cites: 9
Image descriptor based on edge detection and crawler algorithm
Rafał Grycuk and Marcin Gabryel and Magdalena Scherer and Sviatoslav Voloshynovskiy, Image descriptor based on edge detection and crawler algorithm, Springer, Cham, 647-659, 2016, Cites: 8
Novel rough neural network for classification with missing data
Robert K Nowicki and Rafal Scherer and Leszek Rutkowski, Novel rough neural network for classification with missing data, IEEE, 820-825, 2016, Cites: 7
Application of genetic algorithms in the construction of invertible substitution boxes
Tomasz Kapuściński and Robert K Nowicki and Christian Napoli, Application of genetic algorithms in the construction of invertible substitution boxes, Springer, Cham, 380-391, 2016, Cites: 7
A new approach for using the fuzzy decision trees for the detection of the significant operating points in the nonlinear modeling
Piotr Dziwiński and Eduard D Avedyan, A new approach for using the fuzzy decision trees for the detection of the significant operating points in the nonlinear modeling, Springer, Cham, 279-292, 2016, Cites: 6
New method for fuzzy nonlinear modelling based on genetic programming
Krystian Łapa and Krzysztof Cpałka and Petia Koprinkova-Hristova, New method for fuzzy nonlinear modelling based on genetic programming, Springer, Cham, 432-449, 2016, Cites: 6
Aspects of evolutionary construction of new flexible PID-fuzzy controller
Krystian Łapa and Jacek Szczypta and Takamichi Saito, Aspects of evolutionary construction of new flexible PID-fuzzy controller, Springer, Cham, 450-464, 2016, Cites: 6
Novel visual object descriptor using surf and clustering algorithms
Rafał Grycuk, Novel visual object descriptor using surf and clustering algorithms, Journal of Applied Mathematics and Computational Mechanics, 3, 2016, Cites: 6
A new approach to designing of intelligent emulators working in a distributed environment
Andrzej Przybył and Meng Joo Er, A new approach to designing of intelligent emulators working in a distributed environment, Springer, Cham, 546-558, 2016, Cites: 6
A new method for generating nonlinear correction models of dynamic objects based on semantic genetic programming
Łukasz Bartczuk and Alexander I Galushkin, A new method for generating nonlinear correction models of dynamic objects based on semantic genetic programming, Springer, Cham, 249-261, 2016, Cites: 5
Estimating CPU features by browser fingerprinting
Takamichi Saito and Koki Yasuda and Takayuki Ishikawa and Rio Hosoi and Kazushi Takahashi and Yongyan Chen and Marcin Zalasiński, Estimating CPU features by browser fingerprinting, IEEE, 587-592, 2016, Cites: 5
Rough restricted boltzmann machine–new architecture for incomplete input data
Wojciech K Mleczko and Robert K Nowicki and Rafał Angryk, Rough restricted boltzmann machine–new architecture for incomplete input data, Springer, Cham, 114-125, 2016, Cites: 5
Hybrid splitting criterion in decision trees for data stream mining
Maciej Jaworski and Leszek Rutkowski and Miroslaw Pawlak, Hybrid splitting criterion in decision trees for data stream mining, Springer, Cham, 60-72, 2016, Cites: 5
Comparison of algebraic and analytical approaches to the formulation of the statistical model-based reconstruction problem for X-ray computed tomography
Robert Cierniak and Anna Lorent, Comparison of algebraic and analytical approaches to the formulation of the statistical model-based reconstruction problem for X-ray computed tomography, Pergamon, Computerized Medical Imaging and Graphics, 19-27, 2016, Cites: 5
Query-by-example image retrieval in microsoft SQL server
Paweł Staszewski and Piotr Woldan and Marcin Korytkowski and Rafał Scherer and Lipo Wang, Query-by-example image retrieval in microsoft SQL server, Springer, Cham, 746-754, 2016, Cites: 4
Method of evolutionary designing of FPGA-based controllers
Andrzej Przybył and Jacek Szczypta, Method of evolutionary designing of FPGA-based controllers, Przegląd Elektrotechniczny, 174-179, 2016, Cites: 4
Fast iterative image reconstruction method for 3D computed tomography
Robert Cierniak, Fast iterative image reconstruction method for 3D computed tomography, 2016, Cites: 3
The method of the evolutionary designing the elastic controller structure
Andrzej Przybył and Krystian Łapa and Jacek Szczypta and Lipo Wang, The method of the evolutionary designing the elastic controller structure, Springer, Cham, 476-492, 2016, Cites: 3
New approach for interpretability of neuro-fuzzy systems with parametrized triangular norms
Krystian Łapa and Krzysztof Cpałka and Lipo Wang, New approach for interpretability of neuro-fuzzy systems with parametrized triangular norms, Springer, Cham, 248-265, 2016, Cites: 3
A novel convolutional neural network with Glial cells
Marcin Korytkowski, A novel convolutional neural network with Glial cells, Springer, Cham, 670-679, 2016, Cites: 3
On the Cesàro-Means-Based Orthogonal Series Approach to Learning Time-Varying Regression Functions
Adam Krzyzak Piotr Duda and Lena Pietruczuk and Maciej Jaworski, On the Cesàro-Means-Based Orthogonal Series Approach to Learning Time-Varying Regression Functions, Springer, Cham, 37-48, 2016, Cites: 2
Neural video compression based on SURF scene change detection algorithm
Rafał Grycuk and Michał Knop, Neural video compression based on SURF scene change detection algorithm, Springer, Cham, 105-112, 2016, Cites: 2
Nonlinear pattern classification using fuzzy system and hybrid genetic-imperialist algorithm
Krystian Łapa and Krzysztof Cpałka, Nonlinear pattern classification using fuzzy system and hybrid genetic-imperialist algorithm, Springer, Cham, 159-171, 2016, Cites: 2
Fast computing framework for convolutional neural networks
Marcin Korytkowski and Pawel Staszewski and Piotr Woldan and Rafal Scherer, Fast computing framework for convolutional neural networks, IEEE, 118-123, 2016, Cites: 2
Aspects of structure selection and parameters tuning of control systems using hybrid genetic-fruit fly algorithm
Jacek Szczypta and Krystian Łapa, Aspects of structure selection and parameters tuning of control systems using hybrid genetic-fruit fly algorithm, Springer, Cham, 101-110, 2016, Cites: 2
New approach for nonlinear modelling based on online designing of the fuzzy rule base
Krystian Łapa and Krzysztof Cpałka and Yoichi Hayashi, New approach for nonlinear modelling based on online designing of the fuzzy rule base, Springer, Cham, 230-247, 2016, Cites: 2
Novel image descriptor based on color spatial distribution
Patryk Najgebauer and Marcin Korytkowski and Carlos D Barranco and Rafal Scherer, Novel image descriptor based on color spatial distribution, Springer, Cham, 712-722, 2016, Cites: 1
Color-based large-scale image retrieval with limited hardware resources
Michał Łagiewka and Rafał Scherer and Rafal Angryk, Color-based large-scale image retrieval with limited hardware resources, Springer, Cham, 689-699, 2016, Cites: 1
Preprocessing Large Data Sets by the Use of Quick Sort Algorithm
Marcin Wo'zniak and Zbigniew Marszalek and Marcin Gabryel and Robert K Nowicki, Preprocessing Large Data Sets by the Use of Quick Sort Algorithm, 111-121, 2016, Cites: 0
Fast Image Search by Trees of Keypoint Descriptors
Patryk Najgebauer and Rafał Scherer, Fast Image Search by Trees of Keypoint Descriptors, Springer, Cham, 541-552, 2016, Cites: 0
On the Application of Orthogonal Series Density Estimation for Image Classification Based on Feature Description
Piotr Duda and Maciej Jaworski and Lena Pietruczuk and Marcin Korytkowski and Marcin Gabryel and Rafał Scherer, On the Application of Orthogonal Series Density Estimation for Image Classification Based on Feature Description, Springer, Cham, 529-540, 2016, Cites: 0
Analytical Statistical Approach for Fan-Beam Scanners
Robert Cierniak, Analytical Statistical Approach for Fan-Beam Scanners, Springer, Cham, 231-243, 2016, Cites: 0
Regularization Methods for the Analytical Statistical Reconstruction Problem in Medical Computed Tomography
Robert Cierniak and Anna Lorent and Piotr Pluta and Nimit Shah, Regularization Methods for the Analytical Statistical Reconstruction Problem in Medical Computed Tomography, Springer, Cham, 147-158, 2016, Cites: 0
Artificial Intelligence and Soft Computing: 15th International Conference, ICAISC 2016, Zakopane, Poland, June 12-16, 2016, Proceedings, Part II
Leszek Rutkowski and Marcin Korytkowski and Rafał Scherer and Ryszard Tadeusiewicz and Lotfi A Zadeh and Jacek M Zurada, Artificial Intelligence and Soft Computing: 15th International Conference, ICAISC 2016, Zakopane, Poland, June 12-16, 2016, Proceedings, Part II, Springer, 2016, Cites: 0

2015 (34)

A new approach to design of control systems using genetic programming
Krzysztof Cpalka and Krystian Łapa and Andrzej Przybył, A new approach to design of control systems using genetic programming, Information technology and control, 4, 433-442, 2015, Cites: 43
Multi-class nearest neighbour classifier for incomplete data handling
Bartosz A Nowak and Robert K Nowicki and Marcin Woźniak and Christian Napoli, Multi-class nearest neighbour classifier for incomplete data handling, Springer, Cham, 469-480, 2015, Cites: 36
Can we process 2d images using artificial bee colony?
Marcin Woźniak and Dawid Połap and Marcin Gabryel and Robert K Nowicki and Christian Napoli and Emiliano Tramontana, Can we process 2d images using artificial bee colony?, Springer, Cham, 660-671, 2015, Cites: 31
Toward work groups classification based on probabilistic neural network approach
Christian Napoli and Giuseppe Pappalardo and Emiliano Tramontana and Robert K Nowicki and Janusz T Starczewski and Marcin Woźniak, Toward work groups classification based on probabilistic neural network approach, Springer, Cham, 79-89, 2015, Cites: 28
New fast algorithm for the dynamic signature verification using global features values
Marcin Zalasiński and Krzysztof Cpałka and Yoichi Hayashi, New fast algorithm for the dynamic signature verification using global features values, Springer, Cham, 175-188, 2015, Cites: 28
A multiscale image compressor with rbfnn and discrete wavelet decomposition
Marcin Wozniak and Christian Napoli and Emiliano Tramontana and Giacomo Capizzi and Grazia Lo Sciuto and Robert K Nowicki and Janusz T Starczewski, A multiscale image compressor with rbfnn and discrete wavelet decomposition, IEEE, 1-7, 2015, Cites: 27
An application of differential evolution to positioning queueing systems
Marcin Gabryel and Marcin Woźniak and Robertas Damaševičius, An application of differential evolution to positioning queueing systems, Springer, Cham, 379-390, 2015, Cites: 25
Novel approach toward medical signals classifier
Marcin Wózniak and Dawid Połap and Robert K Nowicki and Christian Napoli and Giuseppe Pappalardo and Emiliano Tramontana, Novel approach toward medical signals classifier, IEEE, 1-7, 2015, Cites: 25
Multi-layer architecture for storing visual data based on WCF and microsoft SQL server database
Rafał Grycuk and Marcin Gabryel and Rafał Scherer and Sviatoslav Voloshynovskiy, Multi-layer architecture for storing visual data based on WCF and microsoft SQL server database, Springer, Cham, 715-726, 2015, Cites: 23
Aspects of structure and parameters selection of control systems using selected multi-population algorithms
Krystian Łapa and Jacek Szczypta and Rajasekar Venkatesan, Aspects of structure and parameters selection of control systems using selected multi-population algorithms, Springer, Cham, 247-260, 2015, Cites: 21
Rough deep belief network-application to incomplete handwritten digits pattern classification
Wojciech K Mleczko and Tomasz Kapuściński and Robert K Nowicki, Rough deep belief network-application to incomplete handwritten digits pattern classification, Springer, Cham, 400-411, 2015, Cites: 18
A new approach to nonlinear modeling based on significant operating points detection
Piotr Dziwiński and Eduard D Avedyan, A new approach to nonlinear modeling based on significant operating points detection, Springer, Cham, 364-378, 2015, Cites: 18
A new method for the dynamic signature verification based on the stable partitions of the signature
Marcin Zalasiński and Krzysztof Cpałka and Meng Joo Er, A new method for the dynamic signature verification based on the stable partitions of the signature, Springer, Cham, 161-174, 2015, Cites: 17
Image indexing and retrieval using GSOM algorithm
Marcin Gabryel and Rafał Grycuk and Marcin Korytkowski and Taras Holotyak, Image indexing and retrieval using GSOM algorithm, Springer, Cham, 706-714, 2015, Cites: 17
Bag-of-features image indexing and classification in Microsoft SQL server relational database
Marcin Korytkowski and Rafał Scherer and Paweł Staszewski and Piotr Woldan, Bag-of-features image indexing and classification in Microsoft SQL server relational database, IEEE, 478-482, 2015, Cites: 12
A new interpretability criteria for neuro-fuzzy systems for nonlinear classification
Krystian Łapa and Krzysztof Cpałka and Alexander I Galushkin, A new interpretability criteria for neuro-fuzzy systems for nonlinear classification, Springer, Cham, 448-468, 2015, Cites: 11
New image descriptor from edge detector and blob extractor
Rafał Grycuk and Rafał Scherer and Marcin Gabryel, New image descriptor from edge detector and blob extractor, Journal of Applied Mathematics and Computational Mechanics, 4, 31--39, 2015, Cites: 9
Video key frame detection based on SURF algorithm
Rafał Grycuk and Michał Knop and Sayantan Mandal, Video key frame detection based on SURF algorithm, Springer, Cham, 566-576, 2015, Cites: 9
New method for non-linear correction modelling of dynamic objects with genetic programming
Łukasz Bartczuk and Andrzej Przybył and Petia Koprinkova-Hristova, New method for non-linear correction modelling of dynamic objects with genetic programming, Springer, Cham, 318-329, 2015, Cites: 8
On the application of fourier series density estimation for image classification based on feature description
Piotr Duda and Maciej Jaworski and Lena Pietruczuk and Rafa l Scherer and Marcin Korytkowski and Marcin Gabryel, On the application of fourier series density estimation for image classification based on feature description, Looking into the Future of Creativity and Decision Support Systems Proceedings of the 8 th International Conference on Knowledge, Information, 2015, Cites: 7
SOM vs FCM vs PCA in 3d face recognition
Sebastian Pabiasz and Janusz T Starczewski and Antonino Marvuglia, SOM vs FCM vs PCA in 3d face recognition, Springer, Cham, 120-129, 2015, Cites: 6
Adaptation of RBM learning for intel MIC architecture
Tomasz Olas and Wojciech K Mleczko and Robert K Nowicki and Roman Wyrzykowski and Adam Krzyzak, Adaptation of RBM learning for intel MIC architecture, Springer, Cham, 90-101, 2015, Cites: 5
Adaptation of deep belief networks to modern multicore architectures
Tomasz Olas and Wojciech K Mleczko and Robert K Nowicki and Roman Wyrzykowski, Adaptation of deep belief networks to modern multicore architectures, Springer, Cham, 459-472, 2015, Cites: 5
Computed tomography images denoising with Markov Random Field model parametrized by Prewitt mask
Michał Knas and Robert Cierniak, Computed tomography images denoising with Markov Random Field model parametrized by Prewitt mask, Springer, Cham, 53-58, 2015, Cites: 4
Design methodology for rough neuro-fuzzy classification with missing data
Robert K Nowicki and Marcin Korytkowski and Bartosz A Nowak and Rafal Scherer, Design methodology for rough neuro-fuzzy classification with missing data, IEEE, 1650-1657, 2015, Cites: 4
Secure representation of images using multi-layer compression
Sohrab Ferdowsi and Sviatoslav Voloshynovskiy and Dimche Kostadinov and Marcin Korytkowski and Rafał Scherer, Secure representation of images using multi-layer compression, Springer, Cham, 696-705, 2015, Cites: 4
Fast dictionary matching for content-based image retrieval
Patryk Najgebauer and Janusz Rygał and Tomasz Nowak and Jakub Romanowski and Leszek Rutkowski and Sviatoslav Voloshynovskiy and Rafał Scherer, Fast dictionary matching for content-based image retrieval, Springer, Cham, 747-756, 2015, Cites: 3
Optimization of controller structure using evolutionary algorithm
Andrzej Przybył and Jacek Szczypta and Lipo Wang, Optimization of controller structure using evolutionary algorithm, Springer, Cham, 261-271, 2015, Cites: 3
Efficient bone detector and geometric descriptor for x-ray imaging
Jakub Romanowski and Marcin Korytkowski and Rafal Scherer, Efficient bone detector and geometric descriptor for x-ray imaging, IEEE, 1337-1342, 2015, Cites: 1
Supervised Transform Learning for Face Recognition
Dimche Kostadinov and Sviatoslav Voloshynovskiy and Sohrab Ferdowsi and Maurits Diephuis and Rafał Scherer, Supervised Transform Learning for Face Recognition, Springer, Cham, 737-746, 2015, Cites: 1
Tree representation of image key point descriptors
Patryk Najgebauer and Marcin Gabryel and Marcin Korytkowski and Rafa l Scherer, Tree representation of image key point descriptors, Looking into the Future of Creativity and Decision Support Systems Proceedings of the 8 th International Conference on Knowledge, Information, 2015, Cites: 1
Software Framework for Modular Machine Learning Systems
Marcin Korytkowski and Magdalena Scherer and Sohrab Ferdowsi, Software Framework for Modular Machine Learning Systems, Springer, Cham, 760-767, 2015, Cites: 0
Customization of Joint Articulations Using Soft Computing Methods
Arkadiusz Szarek and Marcin Korytkowski and Leszek Rutkowski and Magdalena Scherer and Janusz Szyprowski and Dimce Kostadinov, Customization of Joint Articulations Using Soft Computing Methods, Springer, Cham, 151-160, 2015, Cites: 0
An Edge Detection Using 2D Gaussian Function in Computed Tomography
Michal Knas and Robert Cierniak and Olga Rebrova, An Edge Detection Using 2D Gaussian Function in Computed Tomography, Springer, Cham, 586-593, 2015, Cites: 0

2014 (40)

The CART decision tree for mining data streams
Leszek Rutkowski and Maciej Jaworski and Lena Pietruczuk and Piotr Duda, The CART decision tree for mining data streams, Elsevier, Information Sciences, 1-15, 2014, Cites: 232
A new method for data stream mining based on the misclassification error
Leszek Rutkowski and Maciej Jaworski and Lena Pietruczuk and Piotr Duda, A new method for data stream mining based on the misclassification error, IEEE, IEEE transactions on neural networks and learning systems, 5, 1048-1059, 2014, Cites: 103
New method for the on-line signature verification based on horizontal partitioning
Krzysztof Cpałka and Marcin Zalasiński and Leszek Rutkowski, New method for the on-line signature verification based on horizontal partitioning, Pergamon, Pattern Recognition, 8, 2652-2661, 2014, Cites: 96
On-line signature verification using vertical signature partitioning
Krzysztof Cpałka and Marcin Zalasiński, On-line signature verification using vertical signature partitioning, Pergamon, Expert Systems with Applications, 2014, Cites: 83
A new method for designing neuro-fuzzy systems for nonlinear modelling with interpretability aspects
K Cpałka and K Łapa and A Przybył and M Zalasiński, A new method for designing neuro-fuzzy systems for nonlinear modelling with interpretability aspects, Elsevier, Neurocomputing, 203-217, 2014, Cites: 70
A finite-buffer queue with a single vacation policy: An analytical study with evolutionary positioning
Marcin Woźniak and Wojciech M Kempa and Marcin Gabryel and Robert K Nowicki, A finite-buffer queue with a single vacation policy: An analytical study with evolutionary positioning, International Journal of Applied Mathematics and Computer Science, 4, 2014, Cites: 48
New method for design of fuzzy systems for nonlinear modelling using different criteria of interpretability
Krystian Łapa and Krzysztof Cpałka and Lipo Wang, New method for design of fuzzy systems for nonlinear modelling using different criteria of interpretability, Springer, Cham, 217-232, 2014, Cites: 39
On applying evolutionary computation methods to optimization of vacation cycle costs in finite-buffer queue
Marcin Woźniak and Wojciech M Kempa and Marcin Gabryel and Robert K Nowicki and Zhifei Shao, On applying evolutionary computation methods to optimization of vacation cycle costs in finite-buffer queue, Springer, Cham, 480-491, 2014, Cites: 38
From single image to list of objects based on edge and blob detection
Rafał Grycuk and Marcin Gabryel and Marcin Korytkowski and Rafał Scherer and Sviatoslav Voloshynovskiy, From single image to list of objects based on edge and blob detection, Springer, Cham, 605-615, 2014, Cites: 37
New method for dynamic signature verification using hybrid partitioning
Marcin Zalasiński and Krzysztof Cpałka and Meng Joo Er, New method for dynamic signature verification using hybrid partitioning, Springer, Cham, 216-230, 2014, Cites: 37
New method for dynamic signature verification based on global features
Marcin Zalasiński and Krzysztof Cpałka and Yoichi Hayashi, New method for dynamic signature verification based on global features, Springer, Cham, 231-245, 2014, Cites: 35
A new algorithm for identification of significant operating points using swarm intelligence
Piotr Dziwiński and Łukasz Bartczuk and Andrzej Przybył and Eduard D Avedyan, A new algorithm for identification of significant operating points using swarm intelligence, Springer, Cham, 349-362, 2014, Cites: 32
Content-based image indexing by data clustering and inverse document frequency
Rafał Grycuk and Marcin Gabryel and Marcin Korytkowski and Rafał Scherer, Content-based image indexing by data clustering and inverse document frequency, Springer, Cham, 374-383, 2014, Cites: 31
Centroid of triangular and Gaussian type-2 fuzzy sets
Janusz T Starczewski, Centroid of triangular and Gaussian type-2 fuzzy sets, Elsevier, Information Sciences, 289-306, 2014, Cites: 31
New method for nonlinear fuzzy correction modelling of dynamic objects
Łukasz Bartczuk and Andrzej Przybył and Petia Koprinkova-Hristova, New method for nonlinear fuzzy correction modelling of dynamic objects, Springer, Cham, 169-180, 2014, Cites: 25
Aspects of the selection of the structure and parameters of controllers using selected population based algorithms
Jacek Szczypta and Krystian Łapa and Zhifei Shao, Aspects of the selection of the structure and parameters of controllers using selected population based algorithms, Springer, Cham, 440-454, 2014, Cites: 18
A novel application of hoeffding's inequality to decision trees construction for data streams
Piotr Duda and Maciej Jaworski and Lena Pietruczuk and Leszek Rutkowski, A novel application of hoeffding's inequality to decision trees construction for data streams, IEEE, 3324-3330, 2014, Cites: 16
An analytical iterative statistical algorithm for image reconstruction from projections
Robert Cierniak, An analytical iterative statistical algorithm for image reconstruction from projections, International Journal of Applied Mathematics and Computer Science, 1, 2014, Cites: 13
Evolutionary approach with multiple quality criteria for controller design
Jacek Szczypta and Andrzej Przybył and Lipo Wang, Evolutionary approach with multiple quality criteria for controller design, Springer, Cham, 455-467, 2014, Cites: 12
The Parzen kernel approach to learning in non-stationary environment
Lena Pietruczuk and Leszek Rutkowski and Maciej Jaworski and Piotr Duda, The Parzen kernel approach to learning in non-stationary environment, IEEE, 3319-3323, 2014, Cites: 12
The idea for the integration of neuro-fuzzy hardware emulators with real-time network
Andrzej Przybył and Meng Joo Er, The idea for the integration of neuro-fuzzy hardware emulators with real-time network, Springer, Cham, 279-294, 2014, Cites: 12
The learning of neuro-fuzzy approximator with fuzzy rough sets in case of missing features
Robert K Nowicki and Bartosz A Nowak and Janusz T Starczewski and Krzysztof Cpałka, The learning of neuro-fuzzy approximator with fuzzy rough sets in case of missing features, IEEE, 3759-3766, 2014, Cites: 10
The learning of neuro-fuzzy classifier with fuzzy rough sets for imprecise datasets
Bartosz A Nowak and Robert K Nowicki and Janusz T Starczewski and Antonino Marvuglia, The learning of neuro-fuzzy classifier with fuzzy rough sets for imprecise datasets, Springer, Cham, 256-266, 2014, Cites: 10
Rough k nearest neighbours for classification in the case of missing input data
Robert Nowicki and Bartosz A Nowak and Marcin Woźniak, Rough k nearest neighbours for classification in the case of missing input data, 196–207, 2014, Cites: 9
Genetic fuzzy classifier with fuzzy rough sets for imprecise data
Janusz T Starczewski and Robert K Nowicki and Bartosz A Nowak, Genetic fuzzy classifier with fuzzy rough sets for imprecise data, IEEE, 1382-1389, 2014, Cites: 9
Video compression algorithm based on neural network structures
Michal Knop and Robert Cierniak and Nimit Shah, Video compression algorithm based on neural network structures, Springer, Cham, 715-724, 2014, Cites: 8
A new three-dimensional facial landmarks in recognition
Sebastian Pabiasz and Janusz T Starczewski and Antonino Marvuglia, A new three-dimensional facial landmarks in recognition, Springer, Cham, 179-186, 2014, Cites: 7
Content-based image retrieval by dictionary of local feature descriptors
Patryk Najgebauer and Tomasz Nowak and Jakub Romanowski and Marcin Gabryel and Marcin Korytkowski and Rafał Scherer, Content-based image retrieval by dictionary of local feature descriptors, IEEE, 512-517, 2014, Cites: 6
Spatial keypoint representation for visual object retrieval
Tomasz Nowak and Patryk Najgebauer and Jakub Romanowski and Marcin Gabryel and Marcin Korytkowski and Rafał Scherer and Dimce Kostadinov, Spatial keypoint representation for visual object retrieval, Springer, Cham, 639-650, 2014, Cites: 5
A novel approach to position traffic in nosql database systems by the use of firefly algorithm
Marcin Woźniak and Marcin Gabryel and Robert Konrad Nowicki and Bartosz Antoni Nowak, A novel approach to position traffic in nosql database systems by the use of firefly algorithm, Proceedings of the 9th International Conference on Knowledge, Information and Creativity Support Systems, 2014, Cites: 4
Regularized image reconstruction from projections method
Anna Lorent and Robert Cierniak, Regularized image reconstruction from projections method, IEEE, 82-86, 2014, Cites: 3
Intelligent Systems' 2014: Proceedings of the 7th IEEE International Conference Intelligent Systems IS’2014, September 24‐26, 2014, Warsaw, Poland, Volume 2: Tools …
D Filev and Jan Jabłkowski and Janusz Kacprzyk and Maciej Krawczak and Ivan Popchev and Leszek Rutkowski and Vassil Sgurev and Evdokia Sotirova and Piotr Szynkarczyk and Slawomir Zadrozny, Intelligent Systems' 2014: Proceedings of the 7th IEEE International Conference Intelligent Systems IS’2014, September 24‐26, 2014, Warsaw, Poland, Volume 2: Tools …, Springer, 2014, Cites: 2
Novel algorithm for translation from image content to semantic form
Janusz Rygał and Jakub Romanowski and Rafał Scherer and Sohrab Ferdowsi, Novel algorithm for translation from image content to semantic form, Springer, Cham, 783-792, 2014, Cites: 2
Robust face recognition by group sparse representation that uses samples from list of subjects
Dimche Kostadinov and Sviatoslav Voloshynovskiy and Sohrab Ferdowsi and Maurits Diephuis and Rafał Scherer, Robust face recognition by group sparse representation that uses samples from list of subjects, Springer, Cham, 616-626, 2014, Cites: 2
Ultrafast iterative model-based statistical 3D reconstruction algorithm for x-ray computed tomography
Robert Cierniak and Michal Knas, Ultrafast iterative model-based statistical 3D reconstruction algorithm for x-ray computed tomography, Springer, Cham, 187-196, 2014, Cites: 2
Artificial Intelligence and Soft Computing: 13th International Conference, ICAISC 2014, Zakopane, Poland, June 1-5, 2014, Proceedings, Part II
Leszek Rutkowski and Marcin Korytkowski and Rafał Scherer and Ryszard Tadeusiewicz and Lotfi A Zadeh and Jacek M Zurada, Artificial Intelligence and Soft Computing: 13th International Conference, ICAISC 2014, Zakopane, Poland, June 1-5, 2014, Proceedings, Part II, Springer, 2014, Cites: 2
A New Image Reconstruction from Projections Algorithm
Anna Lorent and Robert Cierniak and Piotr Dobosz and Olga Rebrova, A New Image Reconstruction from Projections Algorithm, Springer, Cham, 725-732, 2014, Cites: 1
Multi-class Classification: A Coding Based Space Partitioning
Sohrab Ferdowsi and Sviatoslav Voloshynovskiy and Marcin Gabryel and Marcin Korytkowski, Multi-class Classification: A Coding Based Space Partitioning, Springer, Cham, 593-604, 2014, Cites: 1
Using of EM Algorithm to Image Reconstruction Problem with Tomography Noises
Piotr Dobosz and Robert Cierniak, Using of EM Algorithm to Image Reconstruction Problem with Tomography Noises, Springer, Heidelberg, 37-43, 2014, Cites: 1
A Modification of the Parallel Spline Interpolation Algorithms
Michał Knas and Robert Cierniak, A Modification of the Parallel Spline Interpolation Algorithms, Springer, Heidelberg, 185-190, 2014, Cites: 0

2013 (30)

Decision trees for mining data streams based on the gaussian approximation
Leszek Rutkowski and Maciej Jaworski and Lena Pietruczuk and Piotr Duda, Decision trees for mining data streams based on the gaussian approximation, IEEE, IEEE Transactions on Knowledge and Data Engineering, 1, 108-119, 2013, Cites: 159
On design of flexible neuro-fuzzy systems for nonlinear modelling
Krzysztof Cpałka and Olga Rebrova and Robert Nowicki and Leszek Rutkowski, On design of flexible neuro-fuzzy systems for nonlinear modelling, Routledge, International Journal of General Systems, 6, 706-720, 2013, Cites: 69
Advanced concepts in fuzzy logic and systems with membership uncertainty
Janusz T Starczewski, Advanced concepts in fuzzy logic and systems with membership uncertainty, Springer, 2013, Cites: 46
A new approach to designing interpretable models of dynamic systems
Krystian Łapa and Andrzej Przybył and Krzysztof Cpałka, A new approach to designing interpretable models of dynamic systems, Springer, Berlin, Heidelberg, 523-534, 2013, Cites: 44
New approach for the on-line signature verification based on method of horizontal partitioning
Marcin Zalasiński and Krzysztof Cpałka, New approach for the on-line signature verification based on method of horizontal partitioning, Springer, Berlin, Heidelberg, 342-350, 2013, Cites: 43
A new method for designing and complexity reduction of neuro-fuzzy systems for nonlinear modelling
Krystian Łapa and Marcin Zalasiński and Krzysztof Cpałka, A new method for designing and complexity reduction of neuro-fuzzy systems for nonlinear modelling, Springer, Berlin, Heidelberg, 329-344, 2013, Cites: 37
New algorithm for evolutionary selection of the dynamic signature global features
Marcin Zalasiński and Krystian Łapa and Krzysztof Cpałka, New algorithm for evolutionary selection of the dynamic signature global features, Springer, Berlin, Heidelberg, 113-121, 2013, Cites: 36
Novel algorithm for the on-line signature verification using selected discretization points groups
Marcin Zalasiński and Krzysztof Cpałka, Novel algorithm for the on-line signature verification using selected discretization points groups, Springer, Berlin, Heidelberg, 493-502, 2013, Cites: 36
Modified merge sort algorithm for large scale data sets
Marcin Woźniak and Zbigniew Marszałek and Marcin Gabryel and Robert K Nowicki, Modified merge sort algorithm for large scale data sets, Springer, Berlin, Heidelberg, 612-622, 2013, Cites: 35
Genetic cost optimization of the GI/M/1/N finite-buffer queue with a single vacation policy
Marcin Gabryel and Robert K Nowicki and Marcin Woźniak and Wojciech M Kempa, Genetic cost optimization of the GI/M/1/N finite-buffer queue with a single vacation policy, Springer, Berlin, Heidelberg, 12-23, 2013, Cites: 33
Some aspects of evolutionary designing optimal controllers
Jacek Szczypta and Andrzej Przybył and Krzysztof Cpałka, Some aspects of evolutionary designing optimal controllers, Springer, Berlin, Heidelberg, 91-100, 2013, Cites: 28
Object detection by simple fuzzy classifiers generated by boosting
Marcin Gabryel and Marcin Korytkowski and Rafał Scherer and Leszek Rutkowski, Object detection by simple fuzzy classifiers generated by boosting, Springer, Berlin, Heidelberg, 540-547, 2013, Cites: 26
Adaptation of decision trees for handling concept drift
Lena Pietruczuk and Piotr Duda and Maciej Jaworski, Adaptation of decision trees for handling concept drift, Springer, Berlin, Heidelberg, 459-473, 2013, Cites: 20
Hybrid state variables-fuzzy logic modelling of nonlinear objects
Łukasz Bartczuk and Andrzej Przybył and Piotr Dziwiński, Hybrid state variables-fuzzy logic modelling of nonlinear objects, Springer, Berlin, Heidelberg, 227-234, 2013, Cites: 19
Improved digital image segmentation based on stereo vision and mean shift algorithm
Rafał Grycuk and Marcin Gabryel and Marcin Korytkowski and Jakub Romanowski and Rafał Scherer, Improved digital image segmentation based on stereo vision and mean shift algorithm, Springer, Berlin, Heidelberg, 433-443, 2013, Cites: 14
Triple heap sort algorithm for large data sets
M Woźniak and Z Marszałek and M Gabryel and RK Nowicki, Triple heap sort algorithm for large data sets, Looking into the Future of Creativity and Decision Support Systems, 657-665, 2013, Cites: 13
On quick sort algorithm performance for large data sets
M Woźniak and Z Marszałek and M Gabryel and RK Nowicki, On quick sort algorithm performance for large data sets, Looking into the Future of Creativity and Decision Support Systems, AMJ Skulimowski, Ed, 7-9, 2013, Cites: 10
A new method of improving classification accuracy of decision tree in case of incomplete samples
Bartosz A Nowak and Robert K Nowicki and Wojciech K Mleczko, A new method of improving classification accuracy of decision tree in case of incomplete samples, Springer, Berlin, Heidelberg, 448-458, 2013, Cites: 9
Video compression algorithm based on neural networks
Robert Cierniak and Michal Knop, Video compression algorithm based on neural networks, Springer, Berlin, Heidelberg, 524-531, 2013, Cites: 7
Neural Networks and Soft Computing: Proceedings of the Sixth International Conference on Neural Network and Soft Computing, Zakopane, Poland, June 11-15, 2002
Leszek Rutkowski, Neural Networks and Soft Computing: Proceedings of the Sixth International Conference on Neural Network and Soft Computing, Zakopane, Poland, June 11-15, 2002, Springer Science & Business Media, 2013, Cites: 7
A new approach to determine three-dimensional facial landmarks
Sebastian Pabiasz and Janusz T Starczewski, A new approach to determine three-dimensional facial landmarks, Springer, Berlin, Heidelberg, 286-296, 2013, Cites: 7
Representation of edge detection results based on graph theory
Patryk Najgebauer and Tomasz Nowak and Jakub Romanowski and Janusz Rygał and Marcin Korytkowski, Representation of edge detection results based on graph theory, Springer, Berlin, Heidelberg, 588-601, 2013, Cites: 5
Artificial Intelligence and Soft Computing: 12th International Conference, ICAISC 2013, Zakopane, Poland, June 9-13, 2013, Proceedings, Part I
Leszek Rutkowski and Marcin Korytkowski and Rafal Scherer and Ryszard Tadeusiewicz and Lotfi A Zadeh and Jacek M Zurada, Artificial Intelligence and Soft Computing: 12th International Conference, ICAISC 2013, Zakopane, Poland, June 9-13, 2013, Proceedings, Part I, Springer, 2013, Cites: 4
A novel graph-based descriptor for object matching
Tomasz Nowak and Patryk Najgebauer and Jakub Rygał and Rafał Scherer, A novel graph-based descriptor for object matching, Springer, Berlin, Heidelberg, 602-612, 2013, Cites: 4
Extraction of objects from images using density of edges as basis for GrabCut algorithm
Janusz Rygał and Patryk Najgebauer and Jakub Romanowski and Rafał Scherer, Extraction of objects from images using density of edges as basis for GrabCut algorithm, Springer, Berlin, Heidelberg, 613-623, 2013, Cites: 4
Comparing images based on histograms of local interest points
Tomasz Nowak and Marcin Gabryel and Marcin Korytkowski and Rafał Scherer, Comparing images based on histograms of local interest points, Springer, Berlin, Heidelberg, 423-432, 2013, Cites: 3
Algebraic Operations on Fuzzy Valued Fuzzy Sets
Janusz T Starczewski, Algebraic Operations on Fuzzy Valued Fuzzy Sets, Springer, Berlin, Heidelberg, 33-76, 2013, Cites: 0
Uncertainty in Fuzzy Sets
Janusz T Starczewski, Uncertainty in Fuzzy Sets, Springer, Berlin, Heidelberg, 1-31, 2013, Cites: 0
Designing Uncertain Fuzzy Logic Systems
Janusz T Starczewski, Designing Uncertain Fuzzy Logic Systems, Springer, Berlin, Heidelberg, 279-304, 2013, Cites: 0
Uncertainty Generation in Uncertain Fuzzy Logic Systems
Janusz T Starczewski, Uncertainty Generation in Uncertain Fuzzy Logic Systems, Springer, Berlin, Heidelberg, 181-277, 2013, Cites: 0

2012 (38)

Decision trees for mining data streams based on the McDiarmid's bound
Leszek Rutkowski and Lena Pietruczuk and Piotr Duda and Maciej Jaworski, Decision trees for mining data streams based on the McDiarmid's bound, IEEE, IEEE Transactions on Knowledge and Data Engineering, 6, 1272-1279, 2012, Cites: 197
Novel on-line speed profile generation for industrial machine tool based on flexible neuro-fuzzy approximation
Krzysztof Cpałka Leszek Rutkowski and Andrzej Przybył, Novel on-line speed profile generation for industrial machine tool based on flexible neuro-fuzzy approximation, IEEE Transactions on Industrial Electronics, 2, 1238-1247, 2012, Cites: 93
Multiple fuzzy classification systems
Rafał Scherer, Multiple fuzzy classification systems, Springer, 2012, Cites: 50
Novel algorithm for the on-line signature verification
Marcin Zalasiński and Krzysztof Cpałka, Novel algorithm for the on-line signature verification, Springer, Berlin, Heidelberg, 362-367, 2012, Cites: 45
A new method to construct of interpretable models of dynamic systems
Andrzej Przybył and Krzysztof Cpałka, A new method to construct of interpretable models of dynamic systems, Springer, Berlin, Heidelberg, 697-705, 2012, Cites: 43
Creating learning sets for control systems using an evolutionary method
Marcin Gabryel and Marcin Woźniak and Robert K Nowicki, Creating learning sets for control systems using an evolutionary method, Springer, Berlin, Heidelberg, 206-213, 2012, Cites: 31
Fully controllable ant colony system for text data clustering
Piotr Dziwiński and Łukasz Bartczuk and Janusz T Starczewski, Fully controllable ant colony system for text data clustering, Springer, Berlin, Heidelberg, 199-205, 2012, Cites: 24
Application of neural networks in assessing changes around implant after total hip arthroplasty
Arkadiusz Szarek and Marcin Korytkowski and Leszek Rutkowski and Rafał Scherer and Janusz Szyprowski, Application of neural networks in assessing changes around implant after total hip arthroplasty, Springer, Berlin, Heidelberg, 335-340, 2012, Cites: 23
A new method for dealing with unbalanced linguistic term set
Łukasz Bartczuk and Piotr Dziwiński and Janusz T Starczewski, A new method for dealing with unbalanced linguistic term set, Springer, Berlin, Heidelberg, 207-212, 2012, Cites: 22
On fuzzy clustering of data streams with concept drift
Maciej Jaworski and Piotr Duda and Lena Pietruczuk, On fuzzy clustering of data streams with concept drift, Springer, Berlin, Heidelberg, 82-91, 2012, Cites: 21
A new fuzzy classifier for data streams
Lena Pietruczuk and Piotr Duda and Maciej Jaworski, A new fuzzy classifier for data streams, Springer, Berlin, Heidelberg, 318-324, 2012, Cites: 19
On pre-processing algorithms for data stream
Piotr Duda and Maciej Jaworski and Lena Pietruczuk, On pre-processing algorithms for data stream, Springer, Berlin, Heidelberg, 56-63, 2012, Cites: 18
Forecasting wear of head and acetabulum in hip joint implant
Arkadiusz Szarek and Marcin Korytkowski and Leszek Rutkowski and Rafał Scherer and Janusz Szyprowski, Forecasting wear of head and acetabulum in hip joint implant, Springer, Berlin, Heidelberg, 341-346, 2012, Cites: 16
On resources optimization in fuzzy clustering of data streams
Maciej Jaworski and Lena Pietruczuk and Piotr Duda, On resources optimization in fuzzy clustering of data streams, Springer, Berlin, Heidelberg, 92-99, 2012, Cites: 15
On the strong convergence of the orthogonal series-type kernel regression neural networks in a non-stationary environment
Piotr Duda and Yoichi Hayashi and Maciej Jaworski, On the strong convergence of the orthogonal series-type kernel regression neural networks in a non-stationary environment, Springer, Berlin, Heidelberg, 47-54, 2012, Cites: 15
Relational modular fuzzy systems
Rafał Scherer, Relational modular fuzzy systems, Springer, Berlin, Heidelberg, 39-50, 2012, Cites: 8
Meshes vs. depth maps in face recognition systems
Sebastian Pabiasz and Janusz T Starczewski, Meshes vs. depth maps in face recognition systems, Springer, Berlin, Heidelberg, 567-573, 2012, Cites: 5
Novel method for parasite detection in microscopic samples
Patryk Najgebauer and Tomasz Nowak and Jakub Romanowski and Janusz Rygał and Marcin Korytkowski and Rafał Scherer, Novel method for parasite detection in microscopic samples, Springer, Berlin, Heidelberg, 551-558, 2012, Cites: 5
Properties and structure of fast text search engine in context of semantic image analysis
Janusz Rygał and Patryk Najgebauer and Tomasz Nowak and Jakub Romanowski and Marcin Gabryel and Rafał Scherer, Properties and structure of fast text search engine in context of semantic image analysis, Springer, Berlin, Heidelberg, 592-599, 2012, Cites: 4
Takagi-Sugeno fuzzy systems
Rafał Scherer, Takagi-Sugeno fuzzy systems, Springer, Berlin, Heidelberg, 73-79, 2012, Cites: 4
Neuro-fuzzy SystemsNeuro-fuzzy systems (NFS)
L Rutkowski and K Cpałka and R Nowicki and A Pokropińska and R Scherer, Neuro-fuzzy SystemsNeuro-fuzzy systems (NFS), Springer, Computational Complexity, 2069-2081, 2012, Cites: 4
The analysis of properties of insertion sort algorithm for large data sets
Marcin Woźniak and Zbigniew Marszałek and Marcin Gabryel, The analysis of properties of insertion sort algorithm for large data sets, Zeszyty Naukowe. Matematyka Stosowana/Politechnika Śląska, 2012, Cites: 4
A neuronal approach to the statistical image reconstruction from projections problem
Robert Cierniak and Anna Lorent, A neuronal approach to the statistical image reconstruction from projections problem, Springer, Berlin, Heidelberg, 344-353, 2012, Cites: 2
Ensembles of the Mamdani Fuzzy Systems
Rafał Scherer, Ensembles of the Mamdani Fuzzy Systems, Springer, Berlin, Heidelberg, 51-59, 2012, Cites: 2
On the strong convergence of the recursive orthogonal series-type kernel probabilistic neural networks handling time-varying noise
Piotr Duda and Marcin Korytkowski, On the strong convergence of the recursive orthogonal series-type kernel probabilistic neural networks handling time-varying noise, Springer, Berlin, Heidelberg, 55-62, 2012, Cites: 1
Model of decision support system for ball positioning relative to the center of mobile beam
Marcin Woźniak and Marcin Gabryel and R Nowicki, Model of decision support system for ball positioning relative to the center of mobile beam, Zeszyty Naukowe. Matematyka Stosowana/Politechnika Śląska, 2012, Cites: 1
Swarm Intelligence and Differential Evolution
Leszek Rutkowski and Marcin Korytkowski and Rafal Scherer and Ryszard Tadeusiewicz and Lotfi Zadeh and Jacek Zurada, Swarm Intelligence and Differential Evolution, Springer, 2012, Cites: 0
Rough-neuro-fuzzy Ensembles for Classification with Missing Data
Rafał Scherer, Rough-neuro-fuzzy Ensembles for Classification with Missing Data, Springer, Berlin, Heidelberg, 81-127, 2012, Cites: 0
Swarm and Evolutionary Computation: International Symposium, SIDE 2012, Held in Conjunction with ICAISC 2012, Zakopane, Poland, April 29-May 3, 2012, Proceedings
Leszek Rutkowski and Marcin Korytkowski and Rafał Scherer and Ryszard Tadeusiewicz and Lotfi Zadeh and Jacek Zurada, Swarm and Evolutionary Computation: International Symposium, SIDE 2012, Held in Conjunction with ICAISC 2012, Zakopane, Poland, April 29-May 3, 2012, Proceedings, Springer, 2012, Cites: 0
Introduction to Fuzzy Systems
Rafał Scherer, Introduction to Fuzzy Systems, Springer, Berlin, Heidelberg, 7-28, 2012, Cites: 0
Simulation of the characteristics of the ball movement on a beam by the use of genetic algorithm
Marcin Woźniak and Marcin Gabryel and R Nowicki, Simulation of the characteristics of the ball movement on a beam by the use of genetic algorithm, Zeszyty Naukowe. Matematyka Stosowana/Politechnika Śląska, 2, 19--33, 2012, Cites: 0
On learning in a time-varying environment by using a probabilistic neural network and the recursive least squares method
Maciej Jaworski and Marcin Gabryel, On learning in a time-varying environment by using a probabilistic neural network and the recursive least squares method, Springer, Berlin, Heidelberg, 99-110, 2012, Cites: 0
Concluding Remarks and Challenges for Future Research
Rafał Scherer, Concluding Remarks and Challenges for Future Research, Springer, Berlin, Heidelberg, 129-130, 2012, Cites: 0
Nonparametric estimates of a regression function
Leszek Rutkowski, Nonparametric estimates of a regression function, Springer Science & Business Media, Probability and Statistical Inference: Proceedings of the 2nd Pannonian Symposium on Mathematical Statistics, Bad Tatzmannsdorf, Austria, June 14–20, 1981, 343, 2012, Cites: 0
Ensemble Techniques
Rafał Scherer, Ensemble Techniques, Springer, Berlin, Heidelberg, 29-37, 2012, Cites: 0
Orthopedic diagnostics with ensembles of learning systems
A Szarek and M Korytkowski and L Rutkowski and R Scherer and J Szyprowski, Orthopedic diagnostics with ensembles of learning systems, Aktualne Problemy Biomechaniki, 6, 141--146, 2012, Cites: 0
Logical Type Fuzzy Systems
Rafał Scherer, Logical Type Fuzzy Systems, Springer, Berlin, Heidelberg, 61-71, 2012, Cites: 0
On the uniform convergence of the orthogonal series-type kernel regression neural networks in a time-varying environment
Meng Joo Er and Piotr Duda, On the uniform convergence of the orthogonal series-type kernel regression neural networks in a time-varying environment, Springer, Berlin, Heidelberg, 39-46, 2012, Cites: 0

2011 (25)

X-ray computed tomography in biomedical engineering
Robert Cierniak, X-ray computed tomography in biomedical engineering, Springer Science & Business Media, 2011, Cites: 163
Novel online speed profile generation for industrial machine tool based on flexible neuro-fuzzy approximation
Leszek Rutkowski and Andrzej Przybyl and Krzysztof Cpalka, Novel online speed profile generation for industrial machine tool based on flexible neuro-fuzzy approximation, IEEE, IEEE Transactions on Industrial Electronics, 2, 1238-1247, 2011, Cites: 93
A new method of on-line signature verification using a flexible fuzzy one-class classifier
M Zalasiński and K Cpałka, A new method of on-line signature verification using a flexible fuzzy one-class classifier, Selected Topics in Computer Science Applications, 38-53, 2011, Cites: 35
AdaBoost ensemble of DCOG rough–neuro–fuzzy systems
Marcin Korytkowski and Robert Nowicki and Leszek Rutkowski and Rafał Scherer, AdaBoost ensemble of DCOG rough–neuro–fuzzy systems, Springer, Berlin, Heidelberg, 62-71, 2011, Cites: 25
On the weak convergence of the orthogonal series-type kernel regresion neural networks in a non-stationary environment
Meng Joo Er and Piotr Duda, On the weak convergence of the orthogonal series-type kernel regresion neural networks in a non-stationary environment, Springer, Berlin, Heidelberg, 443-450, 2011, Cites: 14
Some words about the history of computed tomography
Robert Cierniak, Some words about the history of computed tomography, Springer, London, 7-19, 2011, Cites: 13
Learning in rough-neuro-fuzzy system for data with missing values
Bartosz A Nowak and Robert K Nowicki, Learning in rough-neuro-fuzzy system for data with missing values, Springer, Berlin, Heidelberg, 501-510, 2011, Cites: 9
Neural network algorithm for image reconstruction using the “grid-friendly” projections
Robert Cierniak, Neural network algorithm for image reconstruction using the “grid-friendly” projections, Springer Netherlands, Australasian physical & engineering sciences in medicine, 3, 375, 2011, Cites: 7
An ensemble of logical-type neuro-fuzzy systems
Rafał Scherer, An ensemble of logical-type neuro-fuzzy systems, Pergamon, Expert Systems with Applications, 10, 13115-13120, 2011, Cites: 6
Face reconstruction for 3D systems
S Pabiasz and JT Starczewski, Face reconstruction for 3D systems, Selected Topics in Computer Science Applications, 54-63, 2011, Cites: 5
E-learning w Politechnice Częstochowskiej
K Cpałka and Z Kucharczyk and A Ulfik, E-learning w Politechnice Częstochowskiej, Politechnika Częstochowska, 2011, Cites: 4
Rule base normalization in Takagi-Sugeno ensemble
Marcin Korytkowski and Leszek Rutkowski and Rafał Scherer, Rule base normalization in Takagi-Sugeno ensemble, IEEE, 1-5, 2011, Cites: 3
Reconstruction from Parallel-beam Projections
Robert Cierniak, Reconstruction from Parallel-beam Projections, Springer, London, 83-125, 2011, Cites: 3
An analytical statistical approach to the 3D reconstruction problem
Robert Cierniak, An analytical statistical approach to the 3D reconstruction problem, 2011, Cites: 2
On the Cesaro orthogonal series-type kernel probabilistic neural networks handling non-stationary noise
Piotr Duda and Jacek M Zurada, On the Cesaro orthogonal series-type kernel probabilistic neural networks handling non-stationary noise, Springer, Berlin, Heidelberg, 435-442, 2011, Cites: 2
Szkolenia i nowe narzędzia dla autorów kursów e-learningowych
K Cpałka and A Ulfik, Szkolenia i nowe narzędzia dla autorów kursów e-learningowych, Politechnika Częstochowska, 14-15, 2011, Cites: 2
On designing of flexible neuro-fuzzy systems for nonlinear modelling
Krzysztof Cpałka and Olga Rebrova and Robert Nowicki and Leszek Rutkowski, On designing of flexible neuro-fuzzy systems for nonlinear modelling, Springer, Berlin, Heidelberg, 147-154, 2011, Cites: 2
Algebraic reconstruction techniques
Robert Cierniak, Algebraic reconstruction techniques, Springer, London, 233-265, 2011, Cites: 1
Technical Concepts of X-ray Computed Tomography Scanners
Robert Cierniak, Technical Concepts of X-ray Computed Tomography Scanners, Springer, London, 21-62, 2011, Cites: 1
The Physics of Data Acquisition
Robert Cierniak, The Physics of Data Acquisition, Springer, London, 63-81, 2011, Cites: 0
Spiral Tomography
Robert Cierniak, Spiral Tomography, Springer, London, 149-231, 2011, Cites: 0
Reconstruction from Fan-beam Projections
Robert Cierniak, Reconstruction from Fan-beam Projections, Springer, London, 127-147, 2011, Cites: 0
Evaluation of CT Devices
Robert Cierniak, Evaluation of CT Devices, Springer, London, 267-279, 2011, Cites: 0
Computer-Generated Projections for Simulations
Robert Cierniak, Computer-Generated Projections for Simulations, Springer, London, 281-295, 2011, Cites: 0
On the weak convergence of the recursive orthogonal series-type kernel probabilistic neural networks in a time-varying environment
Piotr Duda and Yoichi Hayashi, On the weak convergence of the recursive orthogonal series-type kernel probabilistic neural networks in a time-varying environment, Springer, Berlin, Heidelberg, 427-434, 2011, Cites: 0

2010 (27)

Fuzzy regression modeling for tool performance prediction and degradation detection
X Li and Meng Joo Er and Beng Siong Lim and JH Zhou and OP Gan and Leszek Rutkowski, Fuzzy regression modeling for tool performance prediction and degradation detection, World Scientific Publishing Company, International Journal of Neural Systems, 05, 405-419, 2010, Cites: 66
Online speed profile generation for industrial machine tool based on neuro-fuzzy approach
Leszek Rutkowski and Andrzej Przybył and Krzysztof Cpałka and Meng Joo Er, Online speed profile generation for industrial machine tool based on neuro-fuzzy approach, Springer, Berlin, Heidelberg, 645-650, 2010, Cites: 53
On classification with missing data using rough-neuro-fuzzy systems
Robert Nowicki, On classification with missing data using rough-neuro-fuzzy systems, De Gruyter Poland, International Journal of Applied Mathematics and Computer Science, 1, 55, 2010, Cites: 36
Designing boosting ensemble of relational fuzzy systems
Rafał Scherer, Designing boosting ensemble of relational fuzzy systems, World Scientific Publishing Company, International Journal of Neural Systems, 05, 381-388, 2010, Cites: 28
Artificial Intelligence and Soft Computing, Part I: 10th International Conference, ICAISC 2010, Zakopane, Poland, June13-17, 2010, Part I
Leszek Rutkowski and Rafał Scherer and Ryszard Tadeusiewicz and Lotfi A Zadeh and Jacek M Zurada, Artificial Intelligence and Soft Computing, Part I: 10th International Conference, ICAISC 2010, Zakopane, Poland, June13-17, 2010, Part I, Springer, 2010, Cites: 24
Neuro-fuzzy systems with relation matrix
Rafał Scherer, Neuro-fuzzy systems with relation matrix, Springer, Berlin, Heidelberg, 210-215, 2010, Cites: 22
Learning methods for type-2 FLS based on FCM
Janusz T Starczewski and Łukasz Bartczuk and Piotr Dziwiński and Antonino Marvuglia, Learning methods for type-2 FLS based on FCM, Springer, Berlin, Heidelberg, 224-231, 2010, Cites: 21
New method for generation type-2 fuzzy partition for FDT
Łukasz Bartczuk and Piotr Dziwiński and Janusz T Starczewski, New method for generation type-2 fuzzy partition for FDT, Springer, Berlin, Heidelberg, 275-280, 2010, Cites: 17
A three-dimentional neural network based approach to the image reconstruction from projections problem
Robert Cierniak, A three-dimentional neural network based approach to the image reconstruction from projections problem, Springer, Berlin, Heidelberg, 505-514, 2010, Cites: 15
New linguistic hedges in construction of interval type-2 FLS
Piotr Dziwiński and Janusz T Starczewski and Łukasz Bartczuk, New linguistic hedges in construction of interval type-2 FLS, Springer, Berlin, Heidelberg, 445-450, 2010, Cites: 14
General type-2 FLS with uncertainty generated by fuzzy rough sets
Janusz T Starczewski, General type-2 FLS with uncertainty generated by fuzzy rough sets, IEEE, 1-6, 2010, Cites: 10
On non-singleton fuzzification with DCOG defuzzification
Robert K Nowicki and Janusz T Starczewski, On non-singleton fuzzification with DCOG defuzzification, Springer, Berlin, Heidelberg, 168-174, 2010, Cites: 9
Fault diagnosis of an air-handling unit system using a dynamic fuzzy-neural approach
Juan Du and Meng Joo Er and Leszek Rutkowski, Fault diagnosis of an air-handling unit system using a dynamic fuzzy-neural approach, Springer, Berlin, Heidelberg, 58-65, 2010, Cites: 8
Evolutionary designing of logic-type fuzzy systems
Marcin Gabryel and Leszek Rutkowski, Evolutionary designing of logic-type fuzzy systems, Springer, Berlin, Heidelberg, 143-148, 2010, Cites: 6
Real-time Ethernet based, distributed control system for the CNC machine
A Przybył and J Smoląg and P Kimla, Real-time Ethernet based, distributed control system for the CNC machine, Electrical Review, 2010, Cites: 5
Negative correlation learning of neuro-fuzzy system ensembles
Marcin Korytkowski and Rafał Scherer, Negative correlation learning of neuro-fuzzy system ensembles, Springer, Berlin, Heidelberg, 114-119, 2010, Cites: 4
A statistical appraoch to image reconstruction from projections problem using recurrent neural network
Robert Cierniak, A statistical appraoch to image reconstruction from projections problem using recurrent neural network, Springer, Berlin, Heidelberg, 138-141, 2010, Cites: 4
A neural network optimization-based method of image reconstruction from projections
Robert Cierniak, A neural network optimization-based method of image reconstruction from projections, Springer, Berlin, Heidelberg, 241-250, 2010, Cites: 3
MICOG defuzzification rough-neuro-fuzzy system ensemble
Marcin Korytkowski and Robert K Nowicki and Rafał Scherer and Leszek Rutkowski, MICOG defuzzification rough-neuro-fuzzy system ensemble, IEEE, 1-6, 2010, Cites: 3
An efficient adaptive fuzzy neural network (EAFNN) approach for short term load forecasting
Juan Du and Meng Joo Er and Leszek Rutkowski, An efficient adaptive fuzzy neural network (EAFNN) approach for short term load forecasting, Springer, Berlin, Heidelberg, 49-57, 2010, Cites: 3
Evolutionary learning for neuro-fuzzy ensembles with generalized parametric triangular norms
Marcin Gabryel and Marcin Korytkowski and Agata Pokropinska and Rafał Scherer and Stanisław Drozda, Evolutionary learning for neuro-fuzzy ensembles with generalized parametric triangular norms, Springer, Berlin, Heidelberg, 74-79, 2010, Cites: 2
A Statistical Tailored Image Reconstruction from Projections Method
Robert Cierniak, A Statistical Tailored Image Reconstruction from Projections Method, Springer, Berlin, Heidelberg, 181-190, 2010, Cites: 1
On automatic design of neuro-fuzzy systems
Krzysztof Cpałka and Leszek Rutkowski and Meng Joo Er, On automatic design of neuro-fuzzy systems, Springer, Berlin, Heidelberg, 43-48, 2010, Cites: 0
Rozproszony system sterowania obrabiarką numeryczną bazujący na sieci Ethernet Czasu Rzeczywistego
A Przybył and J Smoląg and P Kimla, Rozproszony system sterowania obrabiarką numeryczną bazujący na sieci Ethernet Czasu Rzeczywistego, Przegląd Elektrotechniczny, 342-346, 2010, Cites: 0
New Methods for Designing and Reduction of Neuro-Fuzzy Systems
Krzysztof Cpałka, New Methods for Designing and Reduction of Neuro-Fuzzy Systems, Journal of Applied Computer Science Methods, 2, 113--126, 2010, Cites: 0
Proceedings of the 10th international conference on Artificial intelligence and soft computing: Part I
Leszek Rutkowski and Rafał Scherer and Ryszard Tadeusiewicz and Lotfi A Zadeh and Jacek M Zurada, Proceedings of the 10th international conference on Artificial intelligence and soft computing: Part I, Springer-Verlag, 2010, Cites: 0
Neural network-based assessment of femur stress after hip joint alloplasty
Marcin Korytkowski and Leszek Rutkowski and Rafał Scherer and Arkadiusz Szarek, Neural network-based assessment of femur stress after hip joint alloplasty, Springer, Berlin, Heidelberg, 621-626, 2010, Cites: 0

2009 (20)

Efficient triangular type-2 fuzzy logic systems
Janusz T Starczewski, Efficient triangular type-2 fuzzy logic systems, Elsevier, International journal of approximate reasoning, 5, 799-811, 2009, Cites: 90
On evolutionary designing and learning of flexible neuro-fuzzy structures for nonlinear classification
Krzysztof Cpałka, On evolutionary designing and learning of flexible neuro-fuzzy structures for nonlinear classification, Pergamon, Nonlinear Analysis: Theory, Methods & Applications, 12, e1659-e1672, 2009, Cites: 66
Rough neuro-fuzzy structures for classification with missing data
Robert Nowicki, Rough neuro-fuzzy structures for classification with missing data, IEEE, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), 6, 1334-1347, 2009, Cites: 63
New neural network algorithm for image reconstruction from fan-beam projections
Robert Cierniak, New neural network algorithm for image reconstruction from fan-beam projections, Elsevier, Neurocomputing, 13-15, 3238-3244, 2009, Cites: 49
Extended triangular norms
Janusz T Starczewski, Extended triangular norms, Elsevier, Information Sciences, 6, 742-757, 2009, Cites: 43
Neuro-fuzzy relational systems for nonlinear approximation and prediction
Rafał Scherer, Neuro-fuzzy relational systems for nonlinear approximation and prediction, Pergamon, Nonlinear Analysis: Theory, Methods & Applications, 12, e1420-e1425, 2009, Cites: 30
Neuro-fuzzy rough classifier ensemble
Marcin Korytkowski and Robert Nowicki and Rafał Scherer, Neuro-fuzzy rough classifier ensemble, Springer, Berlin, Heidelberg, 817-823, 2009, Cites: 27
Medical diagnosis with type-2 fuzzy decision trees
Łukasz Bartczuk and Danuta Rutkowska, Medical diagnosis with type-2 fuzzy decision trees, Springer, Berlin, Heidelberg, 11-21, 2009, Cites: 23
Rozmyte systemy decyzyjne w zadaniach z ograniczoną wiedzą
Robert K Nowicki, Rozmyte systemy decyzyjne w zadaniach z ograniczoną wiedzą, Akademicka Oficyna Wydawnicza Exit, 2009, Cites: 20
Nonlinear modelling and classification based on the MICOG defuzzification
Robert Nowicki, Nonlinear modelling and classification based on the MICOG defuzzification, Pergamon, Nonlinear Analysis: Theory, Methods & Applications, 12, e1033-e1047, 2009, Cites: 19
A type-1 approximation of interval type-2 FLS
Janusz T Starczewski, A type-1 approximation of interval type-2 FLS, Springer, Berlin, Heidelberg, 287-294, 2009, Cites: 9
Zagadnienie interpretowalności wiedzy i dokładności działania systemów rozmytych
Krzysztof Cpałka, Zagadnienie interpretowalności wiedzy i dokładności działania systemów rozmytych, Akademicka Oficyna Wydawnicza EXIT, 2009, Cites: 3
Modular neuro-fuzzy systems based on generalized parametric triangular norms
Marcin Korytkowski and Rafał Scherer, Modular neuro-fuzzy systems based on generalized parametric triangular norms, Springer, Berlin, Heidelberg, 332-339, 2009, Cites: 3
Relational type-2 interval fuzzy systems
Rafał Scherer and Janusz T Starczewski, Relational type-2 interval fuzzy systems, Springer, Berlin, Heidelberg, 360-368, 2009, Cites: 2
A new method for complexity reduction of neuro-fuzzy systems with application to differential stroke diagnosis
Krzysztof Cpałka and Olga Rebrova and Leszek Rutkowski, A new method for complexity reduction of neuro-fuzzy systems with application to differential stroke diagnosis, Springer, Berlin, Heidelberg, 435-444, 2009, Cites: 2
Rozproszony system sterowania obrabiarką numeryczną bazujący na sieci Ethernet Czasu Rzeczywistego.
Andrzej Przybył Jacek Smoląg and Przemysław Kimla, Rozproszony system sterowania obrabiarką numeryczną bazujący na sieci Ethernet Czasu Rzeczywistego., Materiały Konferencyjne, Krajowa Konferencja Naukowa, Sterowanie w Energoelektronice i Napędzie Elektrycznym SENE 2009, 2009, Cites: 0
A NEURAL NETWORK METHOD OF IMAGE RECONSTRUCTION FROM PROJECTIONS USING GRID-” FRIENDLY” PROJECTION ANGLES
Robert Cierniak, A NEURAL NETWORK METHOD OF IMAGE RECONSTRUCTION FROM PROJECTIONS USING GRID-” FRIENDLY” PROJECTION ANGLES, IPC, 2-3, 51-58, 2009, Cites: 0
Realizacja w układzie FPGA algorytmu pomiaru prędkości, bazującego na kompensowanym enkoderze inkrementalnym
Andrzej Przybył, Realizacja w układzie FPGA algorytmu pomiaru prędkości, bazującego na kompensowanym enkoderze inkrementalnym, Materiały Konferencyjne, Krajowa Konferencja Naukowa, Sterowanie w Energoelektronice i Napędzie Elektrycznym SENE 2009, 2009, Cites: 0
Journal of Artificial Intelligence and Soft Computing Research Sample Paper
Marcin Korytkowski and Rafał Scherer, Journal of Artificial Intelligence and Soft Computing Research Sample Paper, 2009, Cites: 0
Neuro-fuzzy Systems.
Leszek Rutkowski and Krzysztof Cpalka and Robert Nowicki and Agata Pokropinska and Rafal Scherer, Neuro-fuzzy Systems., 6086-6099, 2009, Cites: 0

2008 (32)

Computational
Leszek Rutkowski, Computational, Intelligence Methods and, Techniques,-: Springer-verlag Berlin Heidelberg, 2008, Cites: 517
From ensemble of fuzzy classifiers to single fuzzy rule base classifier
Marcin Korytkowski and Leszek Rutkowski and Rafał Scherer, From ensemble of fuzzy classifiers to single fuzzy rule base classifier, Springer, Berlin, Heidelberg, 265-272, 2008, Cites: 59
A New Approach to Image Reconstruction from Projections Using a Recurrent Neural Network.
Robert Cierniak, A New Approach to Image Reconstruction from Projections Using a Recurrent Neural Network., International Journal of Applied Mathematics & Computer Science, 2, 2008, Cites: 41
On combining neuro-fuzzy architectures with the rough set theory to solve classification problems with incomplete data
Robert Nowicki, On combining neuro-fuzzy architectures with the rough set theory to solve classification problems with incomplete data, IEEE, IEEE Transactions on Knowledge and Data Engineering, 9, 1239-1253, 2008, Cites: 41
A 2D approach to tomographic image reconstruction using a Hopfield-type neural network
Robert Cierniak, A 2D approach to tomographic image reconstruction using a Hopfield-type neural network, Elsevier, Artificial intelligence in medicine, 2, 113-125, 2008, Cites: 35
Type-2 fuzzy decision trees
Łukasz Bartczuk and Danuta Rutkowska, Type-2 fuzzy decision trees, Springer, Berlin, Heidelberg, 197-206, 2008, Cites: 19
Ant focused crawling algorithm
Piotr Dziwiński and Danuta Rutkowska, Ant focused crawling algorithm, Springer, Berlin, Heidelberg, 1018-1028, 2008, Cites: 18
On defuzzification of interval type-2 fuzzy sets
Janusz T Starczewski, On defuzzification of interval type-2 fuzzy sets, Springer, Berlin, Heidelberg, 333-340, 2008, Cites: 14
A novel approach to image reconstruction problem from fan-beam projections using recurrent neural network
Robert Cierniak, A novel approach to image reconstruction problem from fan-beam projections using recurrent neural network, Springer, Berlin, Heidelberg, 752-761, 2008, Cites: 13
Evolutionary methods to create interpretable modular system
Marcin Korytkowski and Marcin Gabryel and Leszek Rutkowski and Stanislaw Drozda, Evolutionary methods to create interpretable modular system, Springer, Berlin, Heidelberg, 405-413, 2008, Cites: 13
Financial prediction with neuro-fuzzy systems
Agata Pokropińska and Rafał Scherer, Financial prediction with neuro-fuzzy systems, Springer, Berlin, Heidelberg, 1120-1126, 2008, Cites: 12
Ensemble of rough-neuro-fuzzy systems for classification with missing features
Marcin Korytkowski and Robert Nowicki and Rafal Scherer and Leszek Rutkowski, Ensemble of rough-neuro-fuzzy systems for classification with missing features, IEEE, 1745-1750, 2008, Cites: 12
Evolutionary methods for designing neuro-fuzzy modular systems combined by bagging algorithm
Marcin Gabryel and Leszek Rutkowski, Evolutionary methods for designing neuro-fuzzy modular systems combined by bagging algorithm, Springer, Berlin, Heidelberg, 398-404, 2008, Cites: 10
Evolutionary learning of flexible neuro-fuzzy systems
Krzysztof Cpalka and Leszek Rutkowski, Evolutionary learning of flexible neuro-fuzzy systems, IEEE, 969-975, 2008, Cites: 8
Artificial Intelligence and Soft Computing–ICAISC 2008: 9th International Conference Zakopane, Poland, June 22-26, 2008, Proceedings
Leszek Rutkowski and Ryszard Tadeusiewicz and Lofti A Zadeh and Jacek M Zurada, Artificial Intelligence and Soft Computing–ICAISC 2008: 9th International Conference Zakopane, Poland, June 22-26, 2008, Proceedings, Springer, 2008, Cites: 7
Accuracy improvement of neural network state variable estimator in induction motor drive
Jerzy Jelonkiewicz and Andrzej Przybył, Accuracy improvement of neural network state variable estimator in induction motor drive, Springer, Berlin, Heidelberg, 71-77, 2008, Cites: 6
Evolutionary learning of flexible neuro-fuzzy structures
K Cpałka and L Rutkowski, Evolutionary learning of flexible neuro-fuzzy structures, Recent Advances in Control and Automation, 398-407, 2008, Cites: 3
Neural networks and their learning algorithms
Leszek Rutkowski, Neural networks and their learning algorithms, Springer Berlin Heidelberg, Computational Intelligence: Methods and Techniques, 187-264, 2008, Cites: 2
Information Theory Inspired Weighted Immune Classification Algorithm
Maciej Morkowski and Robert Nowicki, Information Theory Inspired Weighted Immune Classification Algorithm, Springer, Berlin, Heidelberg, 652-660, 2008, Cites: 2
New methods for designing neuro-fuzzy systems
Krzysztof Cpałka and Meng Joo Er and Leszek Rutkowski, New methods for designing neuro-fuzzy systems, A A, 1, 2008, Cites: 1
On differential stroke diagnosis by neuro-fuzzy structures
Krzysztof Cpałka and Olga Rebrova and Tomasz Gałkowski and Leszek Rutkowski, On differential stroke diagnosis by neuro-fuzzy structures, Springer, Berlin, Heidelberg, 974-980, 2008, Cites: 1
An application of weighted triangular norms to complexity reduction of neuro-fuzzy systems
Krzysztof Cpalka and Leszek Rutkowski, An application of weighted triangular norms to complexity reduction of neuro-fuzzy systems, Springer, Berlin, Heidelberg, 207-216, 2008, Cites: 1
Data clustering methods
Leszek Rutkowski, Data clustering methods, Springer Berlin Heidelberg, Computational Intelligence: Methods and Techniques, 349-369, 2008, Cites: 1
Regression Modeling with Fuzzy Relations
Rafał Scherer, Regression Modeling with Fuzzy Relations, Springer, Berlin, Heidelberg, 317-323, 2008, Cites: 1
Evolutionary algorithms
Leszek Rutkowski, Evolutionary algorithms, Springer Berlin Heidelberg, Computational Intelligence: Methods and Techniques, 265-347, 2008, Cites: 0
Methods of knowledge representation using type-1 fuzzy sets
Leszek Rutkowski, Methods of knowledge representation using type-1 fuzzy sets, Springer Berlin Heidelberg, Computational Intelligence: Methods and Techniques, 63-153, 2008, Cites: 0
Selected issues of artificial intelligence
Leszek Rutkowski, Selected issues of artificial intelligence, Springer Berlin Heidelberg, Computational Intelligence: Methods and Techniques, 7-23, 2008, Cites: 0
Neuro-Fuzzy Systems and their Applications
Leszek Rutkowski, Neuro-Fuzzy Systems and their Applications, IEEE, xii-xii, 2008, Cites: 0
Metody projektowania rozmytych sterowników
L Rutkowski and R Nowicki and A Pokropińska, Metody projektowania rozmytych sterowników, Pomiary Automatyka Robotyka, 2008, Cites: 0
Methods of knowledge representation using rough sets
Leszek Rutkowski, Methods of knowledge representation using rough sets, Springer Berlin Heidelberg, Computational Intelligence: Methods and Techniques, 25-61, 2008, Cites: 0
Artificial Intelligence and Soft Computing--ICAISC 2008-9th International Conference. Zakopane, Poland, June 2008. Proceedings
Leszek Rutkowski and Ryszard Tadeusiewicz and Lotfi A Zadeh and Jecek M Zurada, Artificial Intelligence and Soft Computing--ICAISC 2008-9th International Conference. Zakopane, Poland, June 2008. Proceedings, Lecture Notes in Computer Science, 2008, Cites: 0
Neuro-fuzzy systems of Mamdani, logical and Takagi-Sugeno type
Leszek Rutkowski, Neuro-fuzzy systems of Mamdani, logical and Takagi-Sugeno type, Springer Berlin Heidelberg, Computational Intelligence: Methods and Techniques, 371-448, 2008, Cites: 0

2007 (8)

Modular type-2 neuro-fuzzy systems
Janusz Starczewski and Rafał Scherer and Marcin Korytkowski and Robert Nowicki, Modular type-2 neuro-fuzzy systems, Springer, Berlin, Heidelberg, 570-578, 2007, Cites: 19
Fuzzy decision trees of type-2
Ł Bartczuk and D Rutkowska, Fuzzy decision trees of type-2, Some Aspects of Computer Science. EXIT Academic Publishing House, Warsaw, 2007, Cites: 4
Modular rough neuro-fuzzy systems for classification
Rafał Scherer and Marcin Korytkowski and Robert Nowicki and Leszek Rutkowski, Modular rough neuro-fuzzy systems for classification, Springer, Berlin, Heidelberg, 540-548, 2007, Cites: 3
Rough-neuro-fuzzy systems for classification
Krzysztof Cpalka and Robert Nowicki and Leszek Rutkowski, Rough-neuro-fuzzy systems for classification, IEEE, 1-8, 2007, Cites: 2
On speeding up the learning process of neuro-fuzzy ensembles generated by the adaboost algorithm
Marcin Korytkowski and Leszek Rutkowski and Rafal Scherer, On speeding up the learning process of neuro-fuzzy ensembles generated by the adaboost algorithm, Springer, Berlin, Heidelberg, 319-326, 2007, Cites: 1
On Obtaining Fuzzy Rule Base from Ensemble of Takagi-Sugeno Systems
Marcin Korytkowski and Leszek Rutkowski and Rafal Scherer and Grzegorz Drozda, On Obtaining Fuzzy Rule Base from Ensemble of Takagi-Sugeno Systems, IEEE, 234-237, 2007, Cites: 1
On designing of flexible neuro-fuzzy systems for classification
Krzysztof Cpałka and Leszek Rutkowski, On designing of flexible neuro-fuzzy systems for classification, 19-26, 2007, Cites: 0
The role of fungi Malassezia spp. in etiopatology of skin diseases
M Wozniak and R Nowicki, The role of fungi Malassezia spp. in etiopatology of skin diseases, MIKOLOGIA LEKARSKA, 4, 265, 2007, Cites: 0

2006 (18)

On combining backpropagation with boosting
Marcin Korytkowski and Leszek Rutkowski and Rafal Scherer, On combining backpropagation with boosting, IEEE, 1274-1277, 2006, Cites: 57
A new method for designing and reduction of neuro-fuzzy systems
Krzysztof Cpalka and Leszek Rutkowski, A new method for designing and reduction of neuro-fuzzy systems, IEEE, 1851-1857, 2006, Cites: 40
Boosting ensemble of relational neuro-fuzzy systems
Rafał Scherer, Boosting ensemble of relational neuro-fuzzy systems, Springer, Berlin, Heidelberg, 306-313, 2006, Cites: 35
A new version of the Fuzzy-ID3 algorithm
Łukasz Bartczuk and Danuta Rutkowska, A new version of the Fuzzy-ID3 algorithm, Springer, Berlin, Heidelberg, 1060-1070, 2006, Cites: 26
Rough-neuro-fuzzy system with MICOG defuzzification
Robert Nowicki, Rough-neuro-fuzzy system with MICOG defuzzification, IEEE, 1958-1965, 2006, Cites: 23
Evolutionary learning of Mamdani-type neuro-fuzzy systems
Marcin Gabryel and Leszek Rutkowski, Evolutionary learning of Mamdani-type neuro-fuzzy systems, Springer, Berlin, Heidelberg, 354-359, 2006, Cites: 20
Artificial Intelligence and Soft Computing–ICAISC 2006: 8th International Conference, Zakopane, Poland, June 25-29, 2006, Proceedings
Leszek Rutkowski and Ryszard Tadeusiewicz and Lotfi A Zadeh and Jacek Zurada, Artificial Intelligence and Soft Computing–ICAISC 2006: 8th International Conference, Zakopane, Poland, June 25-29, 2006, Proceedings, Springer, 2006, Cites: 14
A novel approach to image reconstruction from discrete projections using hopfield-type neural network
Robert Cierniak, A novel approach to image reconstruction from discrete projections using hopfield-type neural network, Springer, Berlin, Heidelberg, 890-898, 2006, Cites: 11
Merging ensemble of neuro-fuzzy systems
Marcin Korytkowski and Robert Nowicki and Leszek Rutkowski and Rafal Scherer, Merging ensemble of neuro-fuzzy systems, IEEE, 1954-1957, 2006, Cites: 6
Artificial Intelligence and Soft Computing
Andrzej Cader and Leszek Rutkowski and Ryszard Tadeusiewicz and Jacek Zurada, Artificial Intelligence and Soft Computing, Academic Publishing House EXIT, 2006, Cites: 4
A new method for complexity reduction of neuro-fuzzysystems.
Krzysztof Cpalka and Leszek Rutkowski, A new method for complexity reduction of neuro-fuzzysystems., WSEAS Transactions on Systems, 11, 2514-2521, 2006, Cites: 3
Podejmowanie decyzji z wykorzystaniem zbiorów rozmytych typu 2
Leszek Rutkowski, Podejmowanie decyzji z wykorzystaniem zbiorów rozmytych typu 2, Automatyka/Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie, 181-187, 2006, Cites: 2
Combining logical-type neuro-fuzzy systems
Marcin Korytkowski and Robert Nowicki and Leszek Rutkowski and Rafał Scherer, Combining logical-type neuro-fuzzy systems, Springer, Berlin, Heidelberg, 240-249, 2006, Cites: 1
Isolines of statistical information criteria for relational neuro-fuzzy system design
Agata Pokropińska and Robert Nowicki and Rafał Scherer, Isolines of statistical information criteria for relational neuro-fuzzy system design, Springer, Berlin, Heidelberg, 288-296, 2006, Cites: 1
On complexity reduction of neuro-fuzzy systems
Krzysztof Cpałka and Leszek Rutkowski, On complexity reduction of neuro-fuzzy systems, 25-32, 2006, Cites: 0
Biologicals used in psoriasis treatment
M Wozniak and R Nowicki, Biologicals used in psoriasis treatment, AD FONTES, ALERGIA ASTMA IMMUNOLOGIA, 1, 29, 2006, Cites: 0
Family corner-Poland chapter
L Rutkowski, Family corner-Poland chapter, IEEE, IEEE Computational Intelligence Magazine, 2, 52-55, 2006, Cites: 0
Proceedings of the 8th international conference on Artificial Intelligence and Soft Computing
Leszek Rutkowski and Ryszard Tadeusiewicz and Lotfi A Zadeh and Jacek M Żurada, Proceedings of the 8th international conference on Artificial Intelligence and Soft Computing, Springer-Verlag, 2006, Cites: 0

2005 (18)

Metody i techniki sztucznej inteligencji: inteligencja obliczeniowa
Leszek Rutkowski, Metody i techniki sztucznej inteligencji: inteligencja obliczeniowa, Wydawnictwo Naukowe PWN, 2005, Cites: 644
Methods and techniques of artificial intelligence
L Rutkowski, Methods and techniques of artificial intelligence, PWN, Warsaw, 2005, Cites: 102
Designing and learning of adjustable quasi-triangular norms with applications to neuro-fuzzy systems
Leszek Rutkowski and Krzysztof Cpalka, Designing and learning of adjustable quasi-triangular norms with applications to neuro-fuzzy systems, IEEE, IEEE Transactions on Fuzzy Systems, 1, 140-151, 2005, Cites: 82
Flexible takagi-sugeno fuzzy systems
Krzysztof Cpalka and Leszek Rutkowski, Flexible takagi-sugeno fuzzy systems, IEEE, 1764-1769, 2005, Cites: 59
Flexible Takagi-Sugeno neuro-fuzzy structures for nonlinear approximation
Krzysztof Cpalka and Leszek Rutkowski, Flexible Takagi-Sugeno neuro-fuzzy structures for nonlinear approximation, WSEAS Transactions on Systems, 9, 1450-1458, 2005, Cites: 43
Evolutionary strategies for learning of neuro-fuzzy systems
M Gabryel and K Cpałka and L Rutkowski, Evolutionary strategies for learning of neuro-fuzzy systems, Proceedings of the I Workshop on Genetic Fuzzy Systems, Granada, 123, 2005, Cites: 37
Tomografia komputerowa: budowa urządzeń CT: algorytmy rekonstrukcyjne
Robert Cierniak, Tomografia komputerowa: budowa urządzeń CT: algorytmy rekonstrukcyjne, Akademicka Oficyna Wydawnicza EXIT, 2005, Cites: 33
Extended Triangular Norms on Gaussian Fuzzy Sets.
Janusz T Starczewski, Extended Triangular Norms on Gaussian Fuzzy Sets., 872-877, 2005, Cites: 25
Connectionist fuzzy relational systems
Rafał Scherer and Leszek Rutkowski, Connectionist fuzzy relational systems, Springer, Berlin, Heidelberg, 35-47, 2005, Cites: 22
Computed tomography
R Cierniak, Computed tomography, Design principles of CT equipment. Algorithms for recovering of images. Warsaw, 2005, Cites: 20
Neuro-fuzzy structures for pattern classification
Krzysztof Cpałka and Leszek Rutkowski, Neuro-fuzzy structures for pattern classification, WSEAS Trans. on Computers, 688-697, 2005, Cites: 12
Neuro-fuzzy structures and their comparative analyzes
Robert Nowicki and Agata Pokropińska, Neuro-fuzzy structures and their comparative analyzes, 203-208, 2005, Cites: 4
Knowledge extraction from data for neural network state variables estimators in induction motor
Jerzy Jelonkiewicz Andrzej Przybył, Knowledge extraction from data for neural network state variables estimators in induction motor, Materiały Konferencyjne, Krajowa Konferencja Naukowa, Sterowanie w Energoelektronice i Napędzie Elektrycznym SENE 2005, 211–216, 2005, Cites: 2
Applying artificial intelligence techniques to analog fault detection and classification
L Rutkowski, Applying artificial intelligence techniques to analog fault detection and classification, Zeszyty Naukowe Wydziału ETI Politechniki Gdańskiej. Technologie Informacyjne, 15-24, 2005, Cites: 1
Calcium, magnesium, phosphate and phosphate binders, bone and mineral metabolism: SP245 ALENDRONATE THERAPY AS PREVENTION OF BONE LOSS FOLLOWING PROLONGED CORTICOSTEROID …
Slawomir Lizakowski and Beata Rutkowska and Piotr Jagodzinski and Zbigniew Zdrojewski and Barbara Bullo and Edyta Szurowska and Joanna Pienkowska and Boleslaw Rutkowski, Calcium, magnesium, phosphate and phosphate binders, bone and mineral metabolism: SP245 ALENDRONATE THERAPY AS PREVENTION OF BONE LOSS FOLLOWING PROLONGED CORTICOSTEROID …, Nephrology Dialysis Transplantation, 2005, Cites: 0
Nowe metody inteligencji komputerowej
L Rutkowski, Nowe metody inteligencji komputerowej, Zeszyty Naukowe Wydziału ETI Politechniki Gdańskiej. Technologie Informacyjne, 3-14, 2005, Cites: 0
Flexible Takagi-Sugeno neuro-fuzzy structures
Krzysztof Cpałka and Leszek Rutkowski, Flexible Takagi-Sugeno neuro-fuzzy structures, def, 2, 1, 2005, Cites: 0
Alendronate therapy as prevention of bone loss following prolonged corticosteroid therapy in patients with chronic glomerulonephritis
S Lizakowski and B Rutkowska and P Jagodzinski and Z Zdrojewski and B Bullo and E Szurowska and J Pienkowska and B Rutkowski, Alendronate therapy as prevention of bone loss following prolonged corticosteroid therapy in patients with chronic glomerulonephritis, OXFORD UNIV PRESS, V101-V101, 2005, Cites: 0

2004 (40)

Adaptive probabilistic neural networks for pattern classification in time-varying environment
Leszek Rutkowski, Adaptive probabilistic neural networks for pattern classification in time-varying environment, IEEE, IEEE transactions on neural networks, 4, 811-827, 2004, Cites: 242
Generalized Regression Neural Networks in a Time-Varying Environment
Leszek Rutkowski, Generalized Regression Neural Networks in a Time-Varying Environment, Springer, Berlin, Heidelberg, 73-134,