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 (829)
2022 (25)
Giorgio De Magistris and Samuele Russo and Paolo Roma and Janusz T Starczewski and Christian Napoli, An Explainable Fake News Detector Based on Named Entity Recognition and Stance Classification Applied to COVID-19. (8)
An Explainable Fake News Detector Based on Named Entity Recognition and Stance Classification Applied to COVID-19
, An Explainable Fake News Detector Based on Named Entity Recognition and Stance Classification Applied to COVID-19, MDPI, Information, 3, 137, 2022, Cites: 8
Mirosław Kordos and Marcin Blachnik and Rafał Scherer, Fuzzy clustering decomposition of genetic algorithm-based instance selection for regression problems. (5)
Fuzzy clustering decomposition of genetic algorithm-based instance selection for regression problems
, Fuzzy clustering decomposition of genetic algorithm-based instance selection for regression problems, Elsevier, Information Sciences, 23-40, 2022, Cites: 5
Jianqiang Hu and Jinde Cao and Leszek Rutkowski and Changfeng Xue and Jie Yu, Hierarchical interactive demand response power profile tracking optimization and control of multiple EV aggregators. (2)
Hierarchical interactive demand response power profile tracking optimization and control of multiple EV aggregators
, Hierarchical interactive demand response power profile tracking optimization and control of multiple EV aggregators, Elsevier, Electric Power Systems Research, 107894, 2022, Cites: 2
An Lin and Jun Cheng and Leszek Rutkowski and Shiping Wen and Mengzhuo Luo and Jinde Cao, Asynchronous Fault Detection for Memristive Neural Networks With Dwell-Time-Based Communication Protocol. (2)
Asynchronous Fault Detection for Memristive Neural Networks With Dwell-Time-Based Communication Protocol
, Asynchronous Fault Detection for Memristive Neural Networks With Dwell-Time-Based Communication Protocol, IEEE, IEEE Transactions on Neural Networks and Learning Systems, 2022, Cites: 2
Hung-Cuong Nguyen and Thi-Hao Nguyen and Rafal Scherer and Van-Hung Le, Unified End-to-End YOLOv5-HR-TCM Framework for Automatic 2D/3D Human Pose Estimation for Real-Time Applications. (1)
Unified End-to-End YOLOv5-HR-TCM Framework for Automatic 2D/3D Human Pose Estimation for Real-Time Applications
, Unified End-to-End YOLOv5-HR-TCM Framework for Automatic 2D/3D Human Pose Estimation for Real-Time Applications, MDPI, Sensors, 14, 5419, 2022, Cites: 1
Yue Hou and Xin Zheng and Chengyan Han and Wei Wei and Rafał Scherer and Dawid Połap, Deep Learning Methods in Short-Term Traffic Prediction: A Survey. (1)
Deep Learning Methods in Short-Term Traffic Prediction: A Survey
, Deep Learning Methods in Short-Term Traffic Prediction: A Survey, Information Technology and Control, 1, 139-157, 2022, Cites: 1
Huiyuan Li and Jian-An Fang and Xiaofan Li and Leszek Rutkowski and Tingwen Huang, Event-Triggered Synchronization of Multiple Discrete-Time Markovian Jump Memristor-Based Neural Networks With Mixed Mode-Dependent Delays. (1)
Event-Triggered Synchronization of Multiple Discrete-Time Markovian Jump Memristor-Based Neural Networks With Mixed Mode-Dependent Delays
, Event-Triggered Synchronization of Multiple Discrete-Time Markovian Jump Memristor-Based Neural Networks With Mixed Mode-Dependent Delays, IEEE, IEEE Transactions on Circuits and Systems I: Regular Papers, 2022, Cites: 1
Youming Xin and Zunshui Cheng and Jinde Cao and Leszek Rutkowski and Yaning Wang, Circuit Implementation and Quasi-Stabilization of Delayed Inertial Memristor-Based Neural Networks. (1)
Circuit Implementation and Quasi-Stabilization of Delayed Inertial Memristor-Based Neural Networks
, Circuit Implementation and Quasi-Stabilization of Delayed Inertial Memristor-Based Neural Networks, IEEE, IEEE Transactions on Neural Networks and Learning Systems, 2022, Cites: 1
Bingquan Chen and Jinde Cao and Guoping Lu and Leszek Rutkowski, Stabilization of Markovian Jump Boolean Control Networks via Event Triggered Control. (1)
Stabilization of Markovian Jump Boolean Control Networks via Event Triggered Control
, Stabilization of Markovian Jump Boolean Control Networks via Event Triggered Control, IEEE, IEEE Transactions on Automatic Control, 2022, Cites: 1
Rafal Grycuk and Marcin Korytkowski and Rafał Scherer and Paweł Drozda and Wei Wei and Mirosław Kordos, Fast Solar Image Retrieval and Classification by Fuzzy Rules. (0)
Fast Solar Image Retrieval and Classification by Fuzzy Rules
, Fast Solar Image Retrieval and Classification by Fuzzy Rules, IEEE, 1-7, 2022, Cites: 0
Zengguo Sun and Guodong Zhao and Rafał Scherer and Wei Wei and Marcin Woźniak, Overview of Capsule Neural Networks. (0)
Overview of Capsule Neural Networks
, Overview of Capsule Neural Networks, Journal of Internet Technology, 1, 33-44, 2022, Cites: 0
Nian Zhang and Jian Wang and Leszek Rutkowski, Special Issue on Reliable Machine Learning and Optimization. (0)
Special Issue on Reliable Machine Learning and Optimization
, Special Issue on Reliable Machine Learning and Optimization, World Scientific Publishing Company, INTERNATIONAL JOURNAL ON ARTIFICIAL INTELLIGENCE TOOLS, 06, 2202006, 2022, Cites: 0
Rafal Grycuk and Tomasz Galkowski and Rafał Scherer and Leszek Rutkowski, A Novel Method for Solar Image Retrieval Based on the Parzen Kernel Estimate of the Function Derivative and Convolutional Autoencoder. (0)
A Novel Method for Solar Image Retrieval Based on the Parzen Kernel Estimate of the Function Derivative and Convolutional Autoencoder
, A Novel Method for Solar Image Retrieval Based on the Parzen Kernel Estimate of the Function Derivative and Convolutional Autoencoder, IEEE, 1-7, 2022, Cites: 0
Paulo R Galego Hernandes Junior and Rafal Scherer and Lucas B Januario and Douglas Rodrigues and João P Papa and Kelton AP Costa, From Network Package Flow to Images: How to Accurately Detect Anomalies in Computer Networks. (0)
From Network Package Flow to Images: How to Accurately Detect Anomalies in Computer Networks
, From Network Package Flow to Images: How to Accurately Detect Anomalies in Computer Networks, IEEE, 1-4, 2022, Cites: 0
Yipin Luo and Wanling Zhu and Jinde Cao and Leszek Rutkowski, Event-triggered finite-time guaranteed cost H-infinity consensus for nonlinear uncertain multi-agent systems. (0)
Event-triggered finite-time guaranteed cost H-infinity consensus for nonlinear uncertain multi-agent systems
, Event-triggered finite-time guaranteed cost H-infinity consensus for nonlinear uncertain multi-agent systems, IEEE, IEEE Transactions on Network Science and Engineering, 2022, Cites: 0
Robert Cierniak, Continuous-to-Continuous Data Model vs. Discrete-to-Discrete Data Model for the Statistical Iterative Reconstruction Method. (0)
Continuous-to-Continuous Data Model vs. Discrete-to-Discrete Data Model for the Statistical Iterative Reconstruction Method
, Continuous-to-Continuous Data Model vs. Discrete-to-Discrete Data Model for the Statistical Iterative Reconstruction Method, Springer, Cham, 493-506, 2022, Cites: 0
Ruizhe Ma and Rafal Angryk and Rafal Scherer, Special issue on deep learning for time series data. (0)
Special issue on deep learning for time series data
, Special issue on deep learning for time series data, Springer London, 1-2, 2022, Cites: 0
Zhen Li and Yang Tang and Yongqing Fan and Tingwen Huang and Leszek Rutkowski, Formation Control of Multi-Agent Systems with Constrained Mismatched Compasses. (0)
Formation Control of Multi-Agent Systems with Constrained Mismatched Compasses
, Formation Control of Multi-Agent Systems with Constrained Mismatched Compasses, IEEE, IEEE Transactions on Network Science and Engineering, 2022, Cites: 0
Luan Utimura and Kelton Costa and Rafał Scherer, Real-time application of OPF-based classifier in Snort IDS. (0)
Real-time application of OPF-based classifier in Snort IDS
, Real-time application of OPF-based classifier in Snort IDS, Academic Press, 55-93, 2022, Cites: 0
Mateusz Godzik and Jacek Dajda and Marek Kisiel-Dorohinicki and Aleksander Byrski and Leszek Rutkowski and Patryk Orzechowski and Joost Wagenaar and Jason H Moore, Applying autonomous hybrid agent-based computing to difficult optimization problems. (0)
Applying autonomous hybrid agent-based computing to difficult optimization problems
, Applying autonomous hybrid agent-based computing to difficult optimization problems, Elsevier, Journal of Computational Science, 101858, 2022, Cites: 0
Yao Song and Liang Wang and Limin Xiao and Wei Wei and Rafał Scherer and Guangjun Qin and Jinquan Wang, Hypergraph-partitioning-based online joint scheduling of tasks and data. (0)
Hypergraph-partitioning-based online joint scheduling of tasks and data
, Hypergraph-partitioning-based online joint scheduling of tasks and data, Springer US, The Journal of Supercomputing, 1-30, 2022, Cites: 0
Guangsheng Chen and Weitao Zou and Weipeng Jing and Wei Wei and Rafał Scherer, Improving the Efficiency of the EMS-Based Smart City: A Novel Distributed Framework for Spatial Data. (0)
Improving the Efficiency of the EMS-Based Smart City: A Novel Distributed Framework for Spatial Data
, Improving the Efficiency of the EMS-Based Smart City: A Novel Distributed Framework for Spatial Data, IEEE, IEEE Transactions on Industrial Informatics, 2022, Cites: 0
Robert Cierniak and Piotr Pluta, An Original Continuous-to-Continuous Forward Model as a Universal Method for the Formulation of Reconstruction Methods for Medical Imaging Techniques. (0)
An Original Continuous-to-Continuous Forward Model as a Universal Method for the Formulation of Reconstruction Methods for Medical Imaging Techniques
, An Original Continuous-to-Continuous Forward Model as a Universal Method for the Formulation of Reconstruction Methods for Medical Imaging Techniques, Springer, Cham, 396-405, 2022, Cites: 0
Sumit Hazra and Manasa Pisipati and Amrit Puhan and Anup Nandy and Rafał Scherer, Two Novel Methods for Multiple Kinect v2 Sensor Calibration. (0)
Two Novel Methods for Multiple Kinect v2 Sensor Calibration
, Two Novel Methods for Multiple Kinect v2 Sensor Calibration, Springer, Cham, 403-414, 2022, Cites: 0
Mirosław Kordos and Rafał Kulka and Tomasz Steblik and Rafał Scherer, Local Search in Selected Crossover Operators. (0)
Local Search in Selected Crossover Operators
, Local Search in Selected Crossover Operators, Springer, Cham, 369-382, 2022, Cites: 02021 (97)
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. (17)
Synchronization of Neural Networks via Periodic Self-Triggered Impulsive Control and Its Application in Image Encryption
, Synchronization of Neural Networks via Periodic Self-Triggered Impulsive Control and Its Application in Image Encryption, IEEE, IEEE Transactions on Cybernetics, 2021, Cites: 17
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. (13)
Finite-Time Synchronization of Complex-Valued Memristive-Based Neural Networks Via Hybrid Control
, Finite-Time Synchronization of Complex-Valued Memristive-Based Neural Networks Via Hybrid Control, IEEE, IEEE Transactions on Neural Networks and Learning Systems, 2021, Cites: 13
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. (12)
Short-Term Load Forecasting Based on Adabelief Optimized Temporal Convolutional Network and Gated Recurrent Unit Hybrid Neural Network
, 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: 12
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. (11)
Abnormal Detection of Electricity Consumption of User Based on Particle Swarm Optimization and Long Short Term Memory With the Attention Mechanism
, 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: 11
Jarosław Bilski and Leszek Rutkowski and Jacek Smoląg and Dacheng Tao, A novel method for speed training acceleration of recurrent neural networks. (9)
A novel method for speed training acceleration of recurrent neural networks
, A novel method for speed training acceleration of recurrent neural networks, Elsevier, Information Sciences, 266-279, 2021, Cites: 9
Zengguo Sun and Hui Geng and Zheng Lu and Rafał Scherer and Marcin Woźniak, Review of Road Segmentation for SAR Images. (8)
Review of Road Segmentation for SAR Images
, Review of Road Segmentation for SAR Images, Multidisciplinary Digital Publishing Institute, 5, 1011, 2021, Cites: 8
Bingquan Chen and Jinde Cao and Guoping Lu and Leszek Rutkowski, Stabilization of Markovian Jump Boolean Control Networks via Sampled-Data Control. (8)
Stabilization of Markovian Jump Boolean Control Networks via Sampled-Data Control
, Stabilization of Markovian Jump Boolean Control Networks via Sampled-Data Control, IEEE, IEEE Transactions on Cybernetics, 2021, Cites: 8
Hao Shen and Xuelian Wang and Jing Wang and Jinde Cao and Leszek Rutkowski, Robust Composite Synchronization of Markov Jump Reaction-Diffusion Neural Networks via a Disturbance Observer-Based Method. (8)
Robust Composite Synchronization of Markov Jump Reaction-Diffusion Neural Networks via a Disturbance Observer-Based Method
, Robust Composite Synchronization of Markov Jump Reaction-Diffusion Neural Networks via a Disturbance Observer-Based Method, IEEE, IEEE Transactions on Cybernetics, 2021, Cites: 8
Miaoyu Li and Zhuohan Jiang and Yutong Liu and Shuheng Chen and Marcin Wozniak and Rafal Scherer and Robertas Damasevicius and Wei Wei and Ziyi Li and Zuxin Li, Sitsen: Passive sitting posture sensing based on wireless devices. (7)
Sitsen: Passive sitting posture sensing based on wireless devices
, Sitsen: Passive sitting posture sensing based on wireless devices, SAGE Publications, 7, 15501477211024846, 2021, Cites: 7
Audrius Kulikajevas and Rytis Maskeliunas and Robertas Damasevicius and Rafal Scherer, HUMANNET—A two-tiered deep neural network architecture for self-occluding humanoid pose reconstruction. (7)
HUMANNET—A two-tiered deep neural network architecture for self-occluding humanoid pose reconstruction
, HUMANNET—A two-tiered deep neural network architecture for self-occluding humanoid pose reconstruction, MDPI, Sensors, 12, 3945, 2021, Cites: 7
Adam Słowik and Krzysztof Cpałka, Hybrid approaches to nature-inspired population-based intelligent optimization for industrial applications. (6)
Hybrid approaches to nature-inspired population-based intelligent optimization for industrial applications
, Hybrid approaches to nature-inspired population-based intelligent optimization for industrial applications, IEEE, IEEE Transactions on Industrial Informatics, 1, 546-558, 2021, Cites: 6
Andrzej Przybył, Fixed-Point Arithmetic Unit with a Scaling Mechanism for FPGA-Based Embedded Systems. (5)
Fixed-Point Arithmetic Unit with a Scaling Mechanism for FPGA-Based Embedded Systems
, Fixed-Point Arithmetic Unit with a Scaling Mechanism for FPGA-Based Embedded Systems, Multidisciplinary Digital Publishing Institute, Electronics, 10, 1164, 2021, Cites: 5
Mirosław Pawlak and Gurmukh Singh Panesar and Marcin Korytkowski, A Novel Method for Invariant Image Reconstruction. (5)
A Novel Method for Invariant Image Reconstruction
, A Novel Method for Invariant Image Reconstruction, Sciendo, Journal of Artificial Intelligence and Soft Computing Research, 1, 69-80, 2021, Cites: 5
Xiaoxiao Lv and Jinde Cao and Leszek Rutkowski, Dynamical and static multisynchronization analysis for coupled multistable memristive neural networks with hybrid control. (4)
Dynamical and static multisynchronization analysis for coupled multistable memristive neural networks with hybrid control
, Dynamical and static multisynchronization analysis for coupled multistable memristive neural networks with hybrid control, Pergamon, Neural Networks, 515-524, 2021, Cites: 4
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. (4)
Monitoring Regenerative Heat Exchanger in Steam Power Plant by Making Use of the Recurrent Neural Network
, 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: 4
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. (4)
Improved Fisher MAP Filter for Despeckling of High-Resolution SAR Images Based on Structural Information Detection
, 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: 4
Audrius Kulikajevas and Rytis Maskeliunas and Robertas Damasevicius and Rafal Scherer, HUMANNET-a Two-Tiered Deep Neural Network Architecture for Self-Occluding Humanoid Pose Reconstruction. (4)
HUMANNET-a Two-Tiered Deep Neural Network Architecture for Self-Occluding Humanoid Pose Reconstruction
, HUMANNET-a Two-Tiered Deep Neural Network Architecture for Self-Occluding Humanoid Pose Reconstruction, Multidisciplinary Digital Publishing Institute, Sensors, 12, 3945, 2021, Cites: 4
Yuwen Song and Jinde Cao and Leszek Rutkowski, A Fixed-time Distributed Optimization Algorithm Based on Event-triggered Strategy. (4)
A Fixed-time Distributed Optimization Algorithm Based on Event-triggered Strategy
, A Fixed-time Distributed Optimization Algorithm Based on Event-triggered Strategy, IEEE, IEEE Transactions on Network Science and Engineering, 2021, Cites: 4
Piotr Dziwiński and Andrzej Przybył and Paweł Trippner and Józef Paszkowski and Yoichi Hayashi, Hardware implementation of a Takagi-Sugeno neuro-fuzzy system optimized by a population algorithm. (2)
Hardware implementation of a Takagi-Sugeno neuro-fuzzy system optimized by a population algorithm
, Hardware implementation of a Takagi-Sugeno neuro-fuzzy system optimized by a population algorithm, Journal of Artificial Intelligence and Soft Computing Research, 2021, Cites: 2
Piotr Dziwiński and Andrzej Przybył and Paweł Trippner and Józef Paszkowski and Yoichi Hayashi, Hardware implementation of a Takagi-Sugeno neuro-fuzzy system optimized by a population algorithm. (2)
Hardware implementation of a Takagi-Sugeno neuro-fuzzy system optimized by a population algorithm
, Hardware implementation of a Takagi-Sugeno neuro-fuzzy system optimized by a population algorithm, Journal of Artificial Intelligence and Soft Computing Research, 2021, Cites: 2
Piotr Dziwiński and Andrzej Przybył and Paweł Trippner and Józef Paszkowski and Yoichi Hayashi, Hardware implementation of a Takagi-Sugeno neuro-fuzzy system optimized by a population algorithm. (2)
Hardware implementation of a Takagi-Sugeno neuro-fuzzy system optimized by a population algorithm
, Hardware implementation of a Takagi-Sugeno neuro-fuzzy system optimized by a population algorithm, Journal of Artificial Intelligence and Soft Computing Research, 2021, Cites: 2
Piotr Dziwinski and Andrzej Przybył and Paweł Trippner and Józef Paszkowski and Yoichi Hayashi, HARDWARE IMPLEMENTATION OF A TAKAGI-SUGENO NEURO-FUZZY SYSTEM OPTIMIZED BY A POPULATION ALGORITHM. (2)
HARDWARE IMPLEMENTATION OF A TAKAGI-SUGENO NEURO-FUZZY SYSTEM OPTIMIZED BY A POPULATION ALGORITHM
, HARDWARE IMPLEMENTATION OF A TAKAGI-SUGENO NEURO-FUZZY SYSTEM OPTIMIZED BY A POPULATION ALGORITHM, Publisher in Open Access Version: Sciendo (De Gruyter Open), Journal of Artificial Intelligence and Soft Computing Research, 3, 243 - 266, 2021, Cites: 2
Piotr Dziwinski and Andrzej Przybył and Paweł Trippner and Józef Paszkowski and Yoichi Hayashi, HARDWARE IMPLEMENTATION OF A TAKAGI-SUGENO NEURO-FUZZY SYSTEM OPTIMIZED BY A POPULATION ALGORITHM. (2)
HARDWARE IMPLEMENTATION OF A TAKAGI-SUGENO NEURO-FUZZY SYSTEM OPTIMIZED BY A POPULATION ALGORITHM
, HARDWARE IMPLEMENTATION OF A TAKAGI-SUGENO NEURO-FUZZY SYSTEM OPTIMIZED BY A POPULATION ALGORITHM, Publisher in Open Access Version: Sciendo (De Gruyter Open), Journal of Artificial Intelligence and Soft Computing Research, 3, 243 - 266, 2021, Cites: 2
Piotr Dziwinski and Andrzej Przybył and Paweł Trippner and Józef Paszkowski and Yoichi Hayashi, HARDWARE IMPLEMENTATION OF A TAKAGI-SUGENO NEURO-FUZZY SYSTEM OPTIMIZED BY A POPULATION ALGORITHM. (2)
HARDWARE IMPLEMENTATION OF A TAKAGI-SUGENO NEURO-FUZZY SYSTEM OPTIMIZED BY A POPULATION ALGORITHM
, HARDWARE IMPLEMENTATION OF A TAKAGI-SUGENO NEURO-FUZZY SYSTEM OPTIMIZED BY A POPULATION ALGORITHM, Publisher in Open Access Version: Sciendo (De Gruyter Open), Journal of Artificial Intelligence and Soft Computing Research, 3, 243 - 266, 2021, Cites: 2
Piotr Dziwinski and Andrzej Przybył and Paweł Trippner and Józef Paszkowski and Yoichi Hayashi, HARDWARE IMPLEMENTATION OF A TAKAGI-SUGENO NEURO-FUZZY SYSTEM OPTIMIZED BY A POPULATION ALGORITHM. (2)
HARDWARE IMPLEMENTATION OF A TAKAGI-SUGENO NEURO-FUZZY SYSTEM OPTIMIZED BY A POPULATION ALGORITHM
, HARDWARE IMPLEMENTATION OF A TAKAGI-SUGENO NEURO-FUZZY SYSTEM OPTIMIZED BY A POPULATION ALGORITHM, Publisher in Open Access Version: Sciendo (De Gruyter Open), Journal of Artificial Intelligence and Soft Computing Research, 3, 243 - 266, 2021, Cites: 2
Piotr Dziwinski and Andrzej Przybył and Paweł Trippner and Józef Paszkowski and Yoichi Hayashi, HARDWARE IMPLEMENTATION OF A TAKAGI-SUGENO NEURO-FUZZY SYSTEM OPTIMIZED BY A POPULATION ALGORITHM. (2)
HARDWARE IMPLEMENTATION OF A TAKAGI-SUGENO NEURO-FUZZY SYSTEM OPTIMIZED BY A POPULATION ALGORITHM
, HARDWARE IMPLEMENTATION OF A TAKAGI-SUGENO NEURO-FUZZY SYSTEM OPTIMIZED BY A POPULATION ALGORITHM, Publisher in Open Access Version: Sciendo (De Gruyter Open), Journal of Artificial Intelligence and Soft Computing Research, 3, 243 - 266, 2021, Cites: 2
Piotr Dziwinski and Andrzej Przybył and Paweł Trippner and Józef Paszkowski and Yoichi Hayashi, HARDWARE IMPLEMENTATION OF A TAKAGI-SUGENO NEURO-FUZZY SYSTEM OPTIMIZED BY A POPULATION ALGORITHM. (2)
HARDWARE IMPLEMENTATION OF A TAKAGI-SUGENO NEURO-FUZZY SYSTEM OPTIMIZED BY A POPULATION ALGORITHM
, HARDWARE IMPLEMENTATION OF A TAKAGI-SUGENO NEURO-FUZZY SYSTEM OPTIMIZED BY A POPULATION ALGORITHM, Publisher in Open Access Version: Sciendo (De Gruyter Open), Journal of Artificial Intelligence and Soft Computing Research, 3, 243 - 266, 2021, Cites: 2
Piotr Dziwinski and Andrzej Przybył and Paweł Trippner and Józef Paszkowski and Yoichi Hayashi, HARDWARE IMPLEMENTATION OF A TAKAGI-SUGENO NEURO-FUZZY SYSTEM OPTIMIZED BY A POPULATION ALGORITHM. (2)
HARDWARE IMPLEMENTATION OF A TAKAGI-SUGENO NEURO-FUZZY SYSTEM OPTIMIZED BY A POPULATION ALGORITHM
, HARDWARE IMPLEMENTATION OF A TAKAGI-SUGENO NEURO-FUZZY SYSTEM OPTIMIZED BY A POPULATION ALGORITHM, Publisher in Open Access Version: Sciendo (De Gruyter Open), Journal of Artificial Intelligence and Soft Computing Research, 3, 243 - 266, 2021, Cites: 2
Piotr Dziwinski and Andrzej Przybył and Paweł Trippner and Józef Paszkowski and Yoichi Hayashi, HARDWARE IMPLEMENTATION OF A TAKAGI-SUGENO NEURO-FUZZY SYSTEM OPTIMIZED BY A POPULATION ALGORITHM. (2)
HARDWARE IMPLEMENTATION OF A TAKAGI-SUGENO NEURO-FUZZY SYSTEM OPTIMIZED BY A POPULATION ALGORITHM
, HARDWARE IMPLEMENTATION OF A TAKAGI-SUGENO NEURO-FUZZY SYSTEM OPTIMIZED BY A POPULATION ALGORITHM, Publisher in Open Access Version: Sciendo (De Gruyter Open), Journal of Artificial Intelligence and Soft Computing Research, 3, 243 - 266, 2021, Cites: 2
Piotr Dziwiński and Andrzej Przybył and Paweł Trippner and Józef Paszkowski and Yoichi Hayashi, Hardware implementation of a Takagi-Sugeno neuro-fuzzy system optimized by a population algorithm. (2)
Hardware implementation of a Takagi-Sugeno neuro-fuzzy system optimized by a population algorithm
, Hardware implementation of a Takagi-Sugeno neuro-fuzzy system optimized by a population algorithm, Journal of Artificial Intelligence and Soft Computing Research, 2021, Cites: 2
Piotr Dziwiński and Andrzej Przybył and Paweł Trippner and Józef Paszkowski and Yoichi Hayashi, Hardware implementation of a Takagi-Sugeno neuro-fuzzy system optimized by a population algorithm. (2)
Hardware implementation of a Takagi-Sugeno neuro-fuzzy system optimized by a population algorithm
, Hardware implementation of a Takagi-Sugeno neuro-fuzzy system optimized by a population algorithm, Journal of Artificial Intelligence and Soft Computing Research, 2021, Cites: 2
Piotr Dziwiński and Andrzej Przybył and Paweł Trippner and Józef Paszkowski and Yoichi Hayashi, Hardware implementation of a Takagi-Sugeno neuro-fuzzy system optimized by a population algorithm. (2)
Hardware implementation of a Takagi-Sugeno neuro-fuzzy system optimized by a population algorithm
, Hardware implementation of a Takagi-Sugeno neuro-fuzzy system optimized by a population algorithm, Journal of Artificial Intelligence and Soft Computing Research, 2021, Cites: 2
Piotr Dziwiński and Andrzej Przybył and Paweł Trippner and Józef Paszkowski and Yoichi Hayashi, Hardware implementation of a Takagi-Sugeno neuro-fuzzy system optimized by a population algorithm. (2)
Hardware implementation of a Takagi-Sugeno neuro-fuzzy system optimized by a population algorithm
, Hardware implementation of a Takagi-Sugeno neuro-fuzzy system optimized by a population algorithm, Journal of Artificial Intelligence and Soft Computing Research, 2021, Cites: 2
Piotr Dziwinski and Andrzej Przybył and Paweł Trippner and Józef Paszkowski and Yoichi Hayashi, HARDWARE IMPLEMENTATION OF A TAKAGI-SUGENO NEURO-FUZZY SYSTEM OPTIMIZED BY A POPULATION ALGORITHM. (2)
HARDWARE IMPLEMENTATION OF A TAKAGI-SUGENO NEURO-FUZZY SYSTEM OPTIMIZED BY A POPULATION ALGORITHM
, HARDWARE IMPLEMENTATION OF A TAKAGI-SUGENO NEURO-FUZZY SYSTEM OPTIMIZED BY A POPULATION ALGORITHM, Publisher in Open Access Version: Sciendo (De Gruyter Open), Journal of Artificial Intelligence and Soft Computing Research, 3, 243 - 266, 2021, Cites: 2
Piotr Dziwinski and Andrzej Przybył and Paweł Trippner and Józef Paszkowski and Yoichi Hayashi, HARDWARE IMPLEMENTATION OF A TAKAGI-SUGENO NEURO-FUZZY SYSTEM OPTIMIZED BY A POPULATION ALGORITHM. (2)
HARDWARE IMPLEMENTATION OF A TAKAGI-SUGENO NEURO-FUZZY SYSTEM OPTIMIZED BY A POPULATION ALGORITHM
, HARDWARE IMPLEMENTATION OF A TAKAGI-SUGENO NEURO-FUZZY SYSTEM OPTIMIZED BY A POPULATION ALGORITHM, Publisher in Open Access Version: Sciendo (De Gruyter Open), Journal of Artificial Intelligence and Soft Computing Research, 3, 243 - 266, 2021, Cites: 2
Piotr Dziwiński and Andrzej Przybył and Paweł Trippner and Józef Paszkowski and Yoichi Hayashi, Hardware implementation of a Takagi-Sugeno neuro-fuzzy system optimized by a population algorithm. (2)
Hardware implementation of a Takagi-Sugeno neuro-fuzzy system optimized by a population algorithm
, Hardware implementation of a Takagi-Sugeno neuro-fuzzy system optimized by a population algorithm, Journal of Artificial Intelligence and Soft Computing Research, 2021, Cites: 2
Piotr Dziwiński and Andrzej Przybył and Paweł Trippner and Józef Paszkowski and Yoichi Hayashi, Hardware implementation of a Takagi-Sugeno neuro-fuzzy system optimized by a population algorithm. (2)
Hardware implementation of a Takagi-Sugeno neuro-fuzzy system optimized by a population algorithm
, Hardware implementation of a Takagi-Sugeno neuro-fuzzy system optimized by a population algorithm, Journal of Artificial Intelligence and Soft Computing Research, 2021, Cites: 2
Piotr Dziwiński and Andrzej Przybył and Paweł Trippner and Józef Paszkowski and Yoichi Hayashi, Hardware implementation of a Takagi-Sugeno neuro-fuzzy system optimized by a population algorithm. (2)
Hardware implementation of a Takagi-Sugeno neuro-fuzzy system optimized by a population algorithm
, Hardware implementation of a Takagi-Sugeno neuro-fuzzy system optimized by a population algorithm, Journal of Artificial Intelligence and Soft Computing Research, 2021, Cites: 2
Piotr Dziwinski and Andrzej Przybył and Paweł Trippner and Józef Paszkowski and Yoichi Hayashi, HARDWARE IMPLEMENTATION OF A TAKAGI-SUGENO NEURO-FUZZY SYSTEM OPTIMIZED BY A POPULATION ALGORITHM. (2)
HARDWARE IMPLEMENTATION OF A TAKAGI-SUGENO NEURO-FUZZY SYSTEM OPTIMIZED BY A POPULATION ALGORITHM
, HARDWARE IMPLEMENTATION OF A TAKAGI-SUGENO NEURO-FUZZY SYSTEM OPTIMIZED BY A POPULATION ALGORITHM, Publisher in Open Access Version: Sciendo (De Gruyter Open), Journal of Artificial Intelligence and Soft Computing Research, 3, 243 - 266, 2021, Cites: 2
Piotr Dziwinski and Andrzej Przybył and Paweł Trippner and Józef Paszkowski and Yoichi Hayashi, HARDWARE IMPLEMENTATION OF A TAKAGI-SUGENO NEURO-FUZZY SYSTEM OPTIMIZED BY A POPULATION ALGORITHM. (2)
HARDWARE IMPLEMENTATION OF A TAKAGI-SUGENO NEURO-FUZZY SYSTEM OPTIMIZED BY A POPULATION ALGORITHM
, HARDWARE IMPLEMENTATION OF A TAKAGI-SUGENO NEURO-FUZZY SYSTEM OPTIMIZED BY A POPULATION ALGORITHM, Publisher in Open Access Version: Sciendo (De Gruyter Open), Journal of Artificial Intelligence and Soft Computing Research, 3, 243 - 266, 2021, Cites: 2
Piotr Dziwinski and Andrzej Przybył and Paweł Trippner and Józef Paszkowski and Yoichi Hayashi, HARDWARE IMPLEMENTATION OF A TAKAGI-SUGENO NEURO-FUZZY SYSTEM OPTIMIZED BY A POPULATION ALGORITHM. (2)
HARDWARE IMPLEMENTATION OF A TAKAGI-SUGENO NEURO-FUZZY SYSTEM OPTIMIZED BY A POPULATION ALGORITHM
, HARDWARE IMPLEMENTATION OF A TAKAGI-SUGENO NEURO-FUZZY SYSTEM OPTIMIZED BY A POPULATION ALGORITHM, Publisher in Open Access Version: Sciendo (De Gruyter Open), Journal of Artificial Intelligence and Soft Computing Research, 3, 243 - 266, 2021, Cites: 2
Piotr Dziwinski and Andrzej Przybył and Paweł Trippner and Józef Paszkowski and Yoichi Hayashi, HARDWARE IMPLEMENTATION OF A TAKAGI-SUGENO NEURO-FUZZY SYSTEM OPTIMIZED BY A POPULATION ALGORITHM. (2)
HARDWARE IMPLEMENTATION OF A TAKAGI-SUGENO NEURO-FUZZY SYSTEM OPTIMIZED BY A POPULATION ALGORITHM
, HARDWARE IMPLEMENTATION OF A TAKAGI-SUGENO NEURO-FUZZY SYSTEM OPTIMIZED BY A POPULATION ALGORITHM, Publisher in Open Access Version: Sciendo (De Gruyter Open), Journal of Artificial Intelligence and Soft Computing Research, 3, 243 - 266, 2021, Cites: 2
Piotr Dziwiński and Andrzej Przybył and Paweł Trippner and Józef Paszkowski and Yoichi Hayashi, Hardware implementation of a Takagi-Sugeno neuro-fuzzy system optimized by a population algorithm. (2)
Hardware implementation of a Takagi-Sugeno neuro-fuzzy system optimized by a population algorithm
, Hardware implementation of a Takagi-Sugeno neuro-fuzzy system optimized by a population algorithm, Journal of Artificial Intelligence and Soft Computing Research, 2021, Cites: 2
Piotr Dziwiński and Andrzej Przybył and Paweł Trippner and Józef Paszkowski and Yoichi Hayashi, Hardware implementation of a Takagi-Sugeno neuro-fuzzy system optimized by a population algorithm. (2)
Hardware implementation of a Takagi-Sugeno neuro-fuzzy system optimized by a population algorithm
, Hardware implementation of a Takagi-Sugeno neuro-fuzzy system optimized by a population algorithm, Journal of Artificial Intelligence and Soft Computing Research, 2021, Cites: 2
Piotr Dziwiński and Andrzej Przybył and Paweł Trippner and Józef Paszkowski and Yoichi Hayashi, Hardware implementation of a Takagi-Sugeno neuro-fuzzy system optimized by a population algorithm. (2)
Hardware implementation of a Takagi-Sugeno neuro-fuzzy system optimized by a population algorithm
, Hardware implementation of a Takagi-Sugeno neuro-fuzzy system optimized by a population algorithm, Journal of Artificial Intelligence and Soft Computing Research, 2021, Cites: 2
Piotr Dziwinski and Andrzej Przybył and Paweł Trippner and Józef Paszkowski and Yoichi Hayashi, HARDWARE IMPLEMENTATION OF A TAKAGI-SUGENO NEURO-FUZZY SYSTEM OPTIMIZED BY A POPULATION ALGORITHM. (2)
HARDWARE IMPLEMENTATION OF A TAKAGI-SUGENO NEURO-FUZZY SYSTEM OPTIMIZED BY A POPULATION ALGORITHM
, HARDWARE IMPLEMENTATION OF A TAKAGI-SUGENO NEURO-FUZZY SYSTEM OPTIMIZED BY A POPULATION ALGORITHM, Publisher in Open Access Version: Sciendo (De Gruyter Open), Journal of Artificial Intelligence and Soft Computing Research, 3, 243 - 266, 2021, Cites: 2
Piotr Dziwinski and Andrzej Przybył and Paweł Trippner and Józef Paszkowski and Yoichi Hayashi, HARDWARE IMPLEMENTATION OF A TAKAGI-SUGENO NEURO-FUZZY SYSTEM OPTIMIZED BY A POPULATION ALGORITHM. (2)
HARDWARE IMPLEMENTATION OF A TAKAGI-SUGENO NEURO-FUZZY SYSTEM OPTIMIZED BY A POPULATION ALGORITHM
, HARDWARE IMPLEMENTATION OF A TAKAGI-SUGENO NEURO-FUZZY SYSTEM OPTIMIZED BY A POPULATION ALGORITHM, Publisher in Open Access Version: Sciendo (De Gruyter Open), Journal of Artificial Intelligence and Soft Computing Research, 3, 243 - 266, 2021, Cites: 2
Andrii Fedorchuk and Alain Walcarius and Magdalena Laskowska and Neus Vila and Paweł Kowalczyk and Krzysztof Cpałka and Łukasz Laskowski, Synthesis of Vertically Aligned Porous Silica Thin Films Functionalized by Silver Ions. (2)
Synthesis of Vertically Aligned Porous Silica Thin Films Functionalized by Silver Ions
, Synthesis of Vertically Aligned Porous Silica Thin Films Functionalized by Silver Ions, Multidisciplinary Digital Publishing Institute, International Journal of Molecular Sciences, 14, 7505, 2021, Cites: 2
Piotr Dziwiński and Andrzej Przybył and Paweł Trippner and Józef Paszkowski and Yoichi Hayashi, Hardware implementation of a Takagi-Sugeno neuro-fuzzy system optimized by a population algorithm. (2)
Hardware implementation of a Takagi-Sugeno neuro-fuzzy system optimized by a population algorithm
, Hardware implementation of a Takagi-Sugeno neuro-fuzzy system optimized by a population algorithm, Journal of Artificial Intelligence and Soft Computing Research, 2021, Cites: 2
Piotr Dziwiński and Andrzej Przybył and Paweł Trippner and Józef Paszkowski and Yoichi Hayashi, Hardware implementation of a Takagi-Sugeno neuro-fuzzy system optimized by a population algorithm. (2)
Hardware implementation of a Takagi-Sugeno neuro-fuzzy system optimized by a population algorithm
, Hardware implementation of a Takagi-Sugeno neuro-fuzzy system optimized by a population algorithm, Journal of Artificial Intelligence and Soft Computing Research, 2021, Cites: 2
Piotr Dziwinski and Andrzej Przybył and Paweł Trippner and Józef Paszkowski and Yoichi Hayashi, HARDWARE IMPLEMENTATION OF A TAKAGI-SUGENO NEURO-FUZZY SYSTEM OPTIMIZED BY A POPULATION ALGORITHM. (2)
HARDWARE IMPLEMENTATION OF A TAKAGI-SUGENO NEURO-FUZZY SYSTEM OPTIMIZED BY A POPULATION ALGORITHM
, HARDWARE IMPLEMENTATION OF A TAKAGI-SUGENO NEURO-FUZZY SYSTEM OPTIMIZED BY A POPULATION ALGORITHM, Publisher in Open Access Version: Sciendo (De Gruyter Open), Journal of Artificial Intelligence and Soft Computing Research, 3, 243 - 266, 2021, Cites: 2
Piotr Dziwiński and Andrzej Przybył and Paweł Trippner and Józef Paszkowski and Yoichi Hayashi, Hardware implementation of a Takagi-Sugeno neuro-fuzzy system optimized by a population algorithm. (2)
Hardware implementation of a Takagi-Sugeno neuro-fuzzy system optimized by a population algorithm
, Hardware implementation of a Takagi-Sugeno neuro-fuzzy system optimized by a population algorithm, Journal of Artificial Intelligence and Soft Computing Research, 2021, Cites: 2
Piotr Dziwiński and Andrzej Przybył and Paweł Trippner and Józef Paszkowski and Yoichi Hayashi, Hardware implementation of a Takagi-Sugeno neuro-fuzzy system optimized by a population algorithm. (2)
Hardware implementation of a Takagi-Sugeno neuro-fuzzy system optimized by a population algorithm
, Hardware implementation of a Takagi-Sugeno neuro-fuzzy system optimized by a population algorithm, Journal of Artificial Intelligence and Soft Computing Research, 2021, Cites: 2
Piotr Dziwiński and Andrzej Przybył and Paweł Trippner and Józef Paszkowski and Yoichi Hayashi, Hardware implementation of a Takagi-Sugeno neuro-fuzzy system optimized by a population algorithm. (2)
Hardware implementation of a Takagi-Sugeno neuro-fuzzy system optimized by a population algorithm
, Hardware implementation of a Takagi-Sugeno neuro-fuzzy system optimized by a population algorithm, Journal of Artificial Intelligence and Soft Computing Research, 2021, Cites: 2
Piotr Dziwiński and Andrzej Przybył and Paweł Trippner and Józef Paszkowski and Yoichi Hayashi, Hardware implementation of a Takagi-Sugeno neuro-fuzzy system optimized by a population algorithm. (2)
Hardware implementation of a Takagi-Sugeno neuro-fuzzy system optimized by a population algorithm
, Hardware implementation of a Takagi-Sugeno neuro-fuzzy system optimized by a population algorithm, Journal of Artificial Intelligence and Soft Computing Research, 2021, Cites: 2
Piotr Dziwinski and Andrzej Przybył and Paweł Trippner and Józef Paszkowski and Yoichi Hayashi, HARDWARE IMPLEMENTATION OF A TAKAGI-SUGENO NEURO-FUZZY SYSTEM OPTIMIZED BY A POPULATION ALGORITHM. (2)
HARDWARE IMPLEMENTATION OF A TAKAGI-SUGENO NEURO-FUZZY SYSTEM OPTIMIZED BY A POPULATION ALGORITHM
, HARDWARE IMPLEMENTATION OF A TAKAGI-SUGENO NEURO-FUZZY SYSTEM OPTIMIZED BY A POPULATION ALGORITHM, Publisher in Open Access Version: Sciendo (De Gruyter Open), Journal of Artificial Intelligence and Soft Computing Research, 3, 243 - 266, 2021, Cites: 2
Piotr Dziwinski and Andrzej Przybył and Paweł Trippner and Józef Paszkowski and Yoichi Hayashi, HARDWARE IMPLEMENTATION OF A TAKAGI-SUGENO NEURO-FUZZY SYSTEM OPTIMIZED BY A POPULATION ALGORITHM. (2)
HARDWARE IMPLEMENTATION OF A TAKAGI-SUGENO NEURO-FUZZY SYSTEM OPTIMIZED BY A POPULATION ALGORITHM
, HARDWARE IMPLEMENTATION OF A TAKAGI-SUGENO NEURO-FUZZY SYSTEM OPTIMIZED BY A POPULATION ALGORITHM, Publisher in Open Access Version: Sciendo (De Gruyter Open), Journal of Artificial Intelligence and Soft Computing Research, 3, 243 - 266, 2021, Cites: 2
Piotr Dziwiński and Andrzej Przybył and Paweł Trippner and Józef Paszkowski and Yoichi Hayashi, Hardware implementation of a Takagi-Sugeno neuro-fuzzy system optimized by a population algorithm. (2)
Hardware implementation of a Takagi-Sugeno neuro-fuzzy system optimized by a population algorithm
, Hardware implementation of a Takagi-Sugeno neuro-fuzzy system optimized by a population algorithm, Journal of Artificial Intelligence and Soft Computing Research, 2021, Cites: 2
Piotr Dziwinski and Andrzej Przybył and Paweł Trippner and Józef Paszkowski and Yoichi Hayashi, HARDWARE IMPLEMENTATION OF A TAKAGI-SUGENO NEURO-FUZZY SYSTEM OPTIMIZED BY A POPULATION ALGORITHM. (2)
HARDWARE IMPLEMENTATION OF A TAKAGI-SUGENO NEURO-FUZZY SYSTEM OPTIMIZED BY A POPULATION ALGORITHM
, HARDWARE IMPLEMENTATION OF A TAKAGI-SUGENO NEURO-FUZZY SYSTEM OPTIMIZED BY A POPULATION ALGORITHM, Publisher in Open Access Version: Sciendo (De Gruyter Open), Journal of Artificial Intelligence and Soft Computing Research, 3, 243 - 266, 2021, Cites: 2
Piotr Dziwinski and Andrzej Przybył and Paweł Trippner and Józef Paszkowski and Yoichi Hayashi, HARDWARE IMPLEMENTATION OF A TAKAGI-SUGENO NEURO-FUZZY SYSTEM OPTIMIZED BY A POPULATION ALGORITHM. (2)
HARDWARE IMPLEMENTATION OF A TAKAGI-SUGENO NEURO-FUZZY SYSTEM OPTIMIZED BY A POPULATION ALGORITHM
, HARDWARE IMPLEMENTATION OF A TAKAGI-SUGENO NEURO-FUZZY SYSTEM OPTIMIZED BY A POPULATION ALGORITHM, Publisher in Open Access Version: Sciendo (De Gruyter Open), Journal of Artificial Intelligence and Soft Computing Research, 3, 243 - 266, 2021, Cites: 2
Piotr Dziwiński and Andrzej Przybył and Paweł Trippner and Józef Paszkowski and Yoichi Hayashi, Hardware implementation of a Takagi-Sugeno neuro-fuzzy system optimized by a population algorithm. (2)
Hardware implementation of a Takagi-Sugeno neuro-fuzzy system optimized by a population algorithm
, Hardware implementation of a Takagi-Sugeno neuro-fuzzy system optimized by a population algorithm, Journal of Artificial Intelligence and Soft Computing Research, 2021, Cites: 2
Piotr Dziwinski and Andrzej Przybył and Paweł Trippner and Józef Paszkowski and Yoichi Hayashi, HARDWARE IMPLEMENTATION OF A TAKAGI-SUGENO NEURO-FUZZY SYSTEM OPTIMIZED BY A POPULATION ALGORITHM. (2)
HARDWARE IMPLEMENTATION OF A TAKAGI-SUGENO NEURO-FUZZY SYSTEM OPTIMIZED BY A POPULATION ALGORITHM
, HARDWARE IMPLEMENTATION OF A TAKAGI-SUGENO NEURO-FUZZY SYSTEM OPTIMIZED BY A POPULATION ALGORITHM, Publisher in Open Access Version: Sciendo (De Gruyter Open), Journal of Artificial Intelligence and Soft Computing Research, 3, 243 - 266, 2021, Cites: 2
Piotr Dziwinski and Andrzej Przybył and Paweł Trippner and Józef Paszkowski and Yoichi Hayashi, HARDWARE IMPLEMENTATION OF A TAKAGI-SUGENO NEURO-FUZZY SYSTEM OPTIMIZED BY A POPULATION ALGORITHM. (2)
HARDWARE IMPLEMENTATION OF A TAKAGI-SUGENO NEURO-FUZZY SYSTEM OPTIMIZED BY A POPULATION ALGORITHM
, HARDWARE IMPLEMENTATION OF A TAKAGI-SUGENO NEURO-FUZZY SYSTEM OPTIMIZED BY A POPULATION ALGORITHM, Publisher in Open Access Version: Sciendo (De Gruyter Open), Journal of Artificial Intelligence and Soft Computing Research, 3, 243 - 266, 2021, Cites: 2
Piotr Dziwiński and Andrzej Przybył and Paweł Trippner and Józef Paszkowski and Yoichi Hayashi, Hardware implementation of a Takagi-Sugeno neuro-fuzzy system optimized by a population algorithm. (2)
Hardware implementation of a Takagi-Sugeno neuro-fuzzy system optimized by a population algorithm
, Hardware implementation of a Takagi-Sugeno neuro-fuzzy system optimized by a population algorithm, Journal of Artificial Intelligence and Soft Computing Research, 2021, Cites: 2
Piotr Dziwiński and Andrzej Przybył and Paweł Trippner and Józef Paszkowski and Yoichi Hayashi, Hardware implementation of a Takagi-Sugeno neuro-fuzzy system optimized by a population algorithm. (2)
Hardware implementation of a Takagi-Sugeno neuro-fuzzy system optimized by a population algorithm
, Hardware implementation of a Takagi-Sugeno neuro-fuzzy system optimized by a population algorithm, Journal of Artificial Intelligence and Soft Computing Research, 2021, Cites: 2
Wei Wei and Huiqing Liang and Beibei Zhang and Robertas Damaševičius and Rafal Scherer, Design and Implementation of Regional Food Distribution Platform Based on Big Data. (1)
Design and Implementation of Regional Food Distribution Platform Based on Big Data
, Design and Implementation of Regional Food Distribution Platform Based on Big Data, IEEE, 496-501, 2021, Cites: 1
Tao Tao and Jianfeng Yang and Wei Wei and Marcin Wozniak and Rafal Scherer and Robertas Damasevicius, Design of a MEMS sensor array for dam subsidence monitoring based on dual-sensor cooperative measurements. (1)
Design of a MEMS sensor array for dam subsidence monitoring based on dual-sensor cooperative measurements
, Design of a MEMS sensor array for dam subsidence monitoring based on dual-sensor cooperative measurements, Korean Society for Internet Information, KSII Transactions on Internet and Information Systems (TIIS), 10, 3554-3570, 2021, Cites: 1
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. (1)
A Low-Dimensional Layout of Magnetic Units as Nano-Systems of Combinatorial Logic: Numerical Simulations
, A Low-Dimensional Layout of Magnetic Units as Nano-Systems of Combinatorial Logic: Numerical Simulations, Multidisciplinary Digital Publishing Institute, Materials, 11, 2974, 2021, Cites: 1
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. (1)
A diversified shared latent variable model for efficient image characteristics extraction and modelling
, A diversified shared latent variable model for efficient image characteristics extraction and modelling, Elsevier, Neurocomputing, 244-259, 2021, Cites: 1
Zengguo Sun and Guodong Zhao and Marcin Woźniak and Rafał Scherer and Robertas Damaševičius, Bankline detection of GF-3 SAR images based on shearlet. (1)
Bankline detection of GF-3 SAR images based on shearlet
, Bankline detection of GF-3 SAR images based on shearlet, PeerJ Inc., PeerJ Computer Science, e611, 2021, Cites: 1
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. (1)
MSAR‐DefogNet: Lightweight cloud removal network for high resolution remote sensing images based on multi scale convolution
, MSAR‐DefogNet: Lightweight cloud removal network for high resolution remote sensing images based on multi scale convolution, IET Image Processing, 2021, Cites: 1
Van-Hung Le and Rafal Scherer, Human Segmentation and Tracking Survey on Masks for MADS Dataset. (1)
Human Segmentation and Tracking Survey on Masks for MADS Dataset
, Human Segmentation and Tracking Survey on Masks for MADS Dataset, Multidisciplinary Digital Publishing Institute, Sensors, 24, 8397, 2021, Cites: 1
Maciej Jaworski and Leszek Rutkowski and Paweł Staszewski and Patryk Najgebauer, Monitoring of Changes in Data Stream Distribution Using Convolutional Restricted Boltzmann Machines. (1)
Monitoring of Changes in Data Stream Distribution Using Convolutional Restricted Boltzmann Machines
, Monitoring of Changes in Data Stream Distribution Using Convolutional Restricted Boltzmann Machines, Springer, Cham, 338-346, 2021, Cites: 1
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. (1)
Design and Implementation of Public Opinion Monitoring System Based on Cloud Platform
, Design and Implementation of Public Opinion Monitoring System Based on Cloud Platform, Journal of Internet Technology, 3, 569-581, 2021, Cites: 1
Walczak Jakub and Najgebauer Patryk and Scherer Rafał and Wojciechowski Adam, CVA-GNN: Convolutional Vicinity Aggregation Graph Neural Network for Point Cloud Classification. (0)
CVA-GNN: Convolutional Vicinity Aggregation Graph Neural Network for Point Cloud Classification
, CVA-GNN: Convolutional Vicinity Aggregation Graph Neural Network for Point Cloud Classification, IEEE, 1-8, 2021, Cites: 0
Wei Wei and Fan Gao and Rafał Scherer and Robertas Damasevicius and Dawid Połap, Design and Implementation of Autonomous Path Planning for Intelligent Vehicle. (0)
Design and Implementation of Autonomous Path Planning for Intelligent Vehicle
, Design and Implementation of Autonomous Path Planning for Intelligent Vehicle, Journal of Internet Technology, 5, 957-965, 2021, Cites: 0
Rafał Grycuk and Rafał Scherer, Grid-Based Concise Hash for Solar Images. (0)
Grid-Based Concise Hash for Solar Images
, Grid-Based Concise Hash for Solar Images, Springer, Cham, 242-254, 2021, Cites: 0
Wei Wei and Mingwei Hui and Beibei Zhang and Rafal Scherer and Robertas Damaševičius, Research on Decision Tree Based on Rough Set. (0)
Research on Decision Tree Based on Rough Set
, Research on Decision Tree Based on Rough Set, Journal of Internet Technology, 6, 1385-1394, 2021, Cites: 0
Piotr Dziwinski, Andrzej Przybył, Paweł Trippner, Józef Paszkowski, Yoichi Hayashi, Hardware implementation of a Takagi-Sugeno neuro-fuzzy system optimized by a population algorithm. (0)
Hardware implementation of a Takagi-Sugeno neuro-fuzzy system optimized by a population algorithm
, Hardware implementation of a Takagi-Sugeno neuro-fuzzy system optimized by a population algorithm, University of Social Sciences. Information Technology Institute, Journal of Artificial Intelligence and Soft Computing Research, 11, 243 - 266, 2021, Cites: 0
Robert Cierniak and Piotr Pluta, A New Statistical Iterative Reconstruction Algorithm for a CT Scanner with Flying Focal Spot. (0)
A New Statistical Iterative Reconstruction Algorithm for a CT Scanner with Flying Focal Spot
, A New Statistical Iterative Reconstruction Algorithm for a CT Scanner with Flying Focal Spot, Springer, Cham, 431-441, 2021, Cites: 0
Piotr Duda and Leszek Rutkowski and Piotr Woldan and Patryk Najgebauer, The Streaming Approach to Training Restricted Boltzmann Machines. (0)
The Streaming Approach to Training Restricted Boltzmann Machines
, The Streaming Approach to Training Restricted Boltzmann Machines, Springer, Cham, 308-317, 2021, Cites: 0
Jakub Walczak and Adam Wojciechowski and Patryk Najgebauer and Rafał Scherer, Vicinity-Based Abstraction: VA-DGCNN Architecture for Noisy 3D Indoor Object Classification. (0)
Vicinity-Based Abstraction: VA-DGCNN Architecture for Noisy 3D Indoor Object Classification
, Vicinity-Based Abstraction: VA-DGCNN Architecture for Noisy 3D Indoor Object Classification, Springer, Cham, 229-241, 2021, Cites: 0
Krystian Łapa and Krzysztof Cpałka and Adam Słowik, Population Management Approaches in the OPn Algorithm. (0)
Population Management Approaches in the OPn Algorithm
, Population Management Approaches in the OPn Algorithm, Springer, Cham, 402-414, 2021, Cites: 0
Krzysztof Cpałka and Adam Słowik and Krystian Łapa, A population-based algorithm with the selection of evaluation precision and size of the population. (0)
A population-based algorithm with the selection of evaluation precision and size of the population
, A population-based algorithm with the selection of evaluation precision and size of the population, Elsevier, Applied Soft Computing, 108154, 2021, Cites: 0
Shiye Lei and Zhuozhuo Tu and Leszek Rutkowski and Feng Zhou and Li Shen and Fengxiang He and Dacheng Tao, Spatial-Temporal-Fusion BNN: Variational Bayesian Feature Layer. (0)
Spatial-Temporal-Fusion BNN: Variational Bayesian Feature Layer
, Spatial-Temporal-Fusion BNN: Variational Bayesian Feature Layer, arXiv preprint arXiv:2112.06281, 2021, Cites: 0
Marcin Zalasiński and Tacjana Niksa-Rynkiewicz and Krzysztof Cpałka, Dynamic Signature Vertical Partitioning Using Selected Population-Based Algorithms. (0)
Dynamic Signature Vertical Partitioning Using Selected Population-Based Algorithms
, Dynamic Signature Vertical Partitioning Using Selected Population-Based Algorithms, Springer, Cham, 511-518, 2021, Cites: 0
Rafal Grycuk and Rafal Scherer, Solar Image Hashing by Intermediate Descriptor and Autoencoder. (0)
Solar Image Hashing by Intermediate Descriptor and Autoencoder
, Solar Image Hashing by Intermediate Descriptor and Autoencoder, IEEE, 1-8, 2021, Cites: 0
Marcin Gabryel and Milan Kocić, Application of a Neural Network to Generate the Hash Code for a Device Fingerprint. (0)
Application of a Neural Network to Generate the Hash Code for a Device Fingerprint
, Application of a Neural Network to Generate the Hash Code for a Device Fingerprint, Springer, Cham, 456-463, 2021, Cites: 0
Wanjie Zhu and Jinde Cao and Xinli Shi and Leszek Rutkowski, Synchronization of Finite-Field Networks with Time Delays. (0)
Synchronization of Finite-Field Networks with Time Delays
, Synchronization of Finite-Field Networks with Time Delays, IEEE, IEEE Transactions on Network Science and Engineering, 2021, Cites: 0
Łukasz Bartczuk, A New Interval Type-2 Fuzzy PRISM Algorithm. (0)
A New Interval Type-2 Fuzzy PRISM Algorithm
, A New Interval Type-2 Fuzzy PRISM Algorithm, IEEE, 1-6, 2021, Cites: 0
Michał Wróbel and Janusz T Starczewski and Justyna Fijałkowska and Agnieszka Siwocha and Christian Napoli, Handwrittenword recognition using fuzzy matching degrees. (0)
Handwrittenword recognition using fuzzy matching degrees
, Handwrittenword recognition using fuzzy matching degrees, Journal of Artificial Intelligence and Soft Computing Research, 2021, Cites: 0
Wei Wei and Qiao Ke and Fan Gao and Rafał Scherer and Shujia Fan, Sufficient Conditions Analysis of Coverage Algorithm Constructed Positive Definite Tridiagonal Matrices in WSNs. (0)
Sufficient Conditions Analysis of Coverage Algorithm Constructed Positive Definite Tridiagonal Matrices in WSNs
, Sufficient Conditions Analysis of Coverage Algorithm Constructed Positive Definite Tridiagonal Matrices in WSNs, Journal of Internet Technology, 4, 735-741, 2021, Cites: 0
Tuo Wang and Beibei Zhang and Wei Wei and Robertas Damaševičius and Rafal Scherer, Traffic flow prediction based on BP neural network. (0)
Traffic flow prediction based on BP neural network
, Traffic flow prediction based on BP neural network, IEEE, 15-19, 2021, Cites: 0
Hao Shen and Xuelian Wang and Jing Wang and Jinde Cao and Leszek Rutkowski, Robust Composite Synchronization of Markov Jump Reaction-Diffusion Neural Networks via a Disturbance Observer-Based Method.. (0)
Robust Composite Synchronization of Markov Jump Reaction-Diffusion Neural Networks via a Disturbance Observer-Based Method.
, Robust Composite Synchronization of Markov Jump Reaction-Diffusion Neural Networks via a Disturbance Observer-Based Method., IEEE Transactions on Cybernetics, 2021, Cites: 0
Jarosław Bernacki and Rafał Scherer, Fast Imaging Sensor Identification. (0)
Fast Imaging Sensor Identification
, Fast Imaging Sensor Identification, Springer, Cham, 572-584, 2021, Cites: 0
Marcin Gabryel and Milan Kocić, Fingerprint Device Parameter Stability Analysis. (0)
Fingerprint Device Parameter Stability Analysis
, Fingerprint Device Parameter Stability Analysis, Springer, Cham, 464-472, 2021, Cites: 0
Xiangxiang Ding and Wei Wei and Beibei Zhang and Rafal Scherer and Robertas Damaševičius, Apple Packaging Redesign in LuochuanBased on the Concept of Sustainable Packaging. (0)
Apple Packaging Redesign in LuochuanBased on the Concept of Sustainable Packaging
, Apple Packaging Redesign in LuochuanBased on the Concept of Sustainable Packaging, IEEE, 614-627, 2021, Cites: 02020 (91)
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. (171)
Multimodal brain tumor classification using deep learning and robust feature selection: A machine learning application for radiologists
, 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: 171
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. (106)
Accurate and fast URL phishing detector: A convolutional neural network approach
, Accurate and fast URL phishing detector: A convolutional neural network approach, Elsevier, Computer Networks, 107275, 2020, Cites: 106
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. (90)
Sliding-mode control for slow-sampling singularly perturbed systems subject to Markov jump parameters
, 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: 90
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. (54)
Synchronization of coupled time-delay neural networks with mode-dependent average dwell time switching
, 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: 54
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. (45)
Synchronization of switched discrete-time neural networks via quantized output control with actuator fault
, 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: 45
Leszek Rutkowski and Maciej Jaworski and Piotr Duda, Stream data mining: Algorithms and their probabilistic properties. (37)
Stream data mining: Algorithms and their probabilistic properties
, Stream data mining: Algorithms and their probabilistic properties, Springer, 2020, Cites: 37
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. (35)
Pearson Correlation-Based Feature Selection for Document Classification Using Balanced Training
, Pearson Correlation-Based Feature Selection for Document Classification Using Balanced Training, Multidisciplinary Digital Publishing Institute, Sensors, 23, 6793, 2020, Cites: 35
Rafał Scherer, Computer vision methods for fast image classification and retrieval. (26)
Computer vision methods for fast image classification and retrieval
, Computer vision methods for fast image classification and retrieval, Springer International Publishing, 2020, Cites: 26
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. (22)
Modified Harris Hawks Optimizer for Solving Machine Scheduling Problems
, Modified Harris Hawks Optimizer for Solving Machine Scheduling Problems, Multidisciplinary Digital Publishing Institute, Symmetry, 9, 1460, 2020, Cites: 22
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. (21)
Efficient image retrieval by fuzzy rules from boosting and metaheuristic
, Efficient image retrieval by fuzzy rules from boosting and metaheuristic, Sciendo, Journal of Artificial Intelligence and Soft Computing Research, 2020, Cites: 21
Bingquan Chen and Jinde Cao and Yiping Luo and Leszek Rutkowski, Asymptotic output tracking of probabilistic Boolean control networks. (21)
Asymptotic output tracking of probabilistic Boolean control networks
, Asymptotic output tracking of probabilistic Boolean control networks, IEEE, IEEE Transactions on Circuits and Systems I: Regular Papers, 8, 2780-2790, 2020, Cites: 21
Zicong Xia and Yang Liu and Jianquan Lu and Jinde Cao and Leszek Rutkowski, Penalty Method for Constrained Distributed Quaternion-Variable Optimization. (18)
Penalty Method for Constrained Distributed Quaternion-Variable Optimization
, Penalty Method for Constrained Distributed Quaternion-Variable Optimization, IEEE, IEEE Transactions on Cybernetics, 2020, Cites: 18
Leszek Rutkowski and Maciej Jaworski and Piotr Duda, Basic concepts of data stream mining. (16)
Basic concepts of data stream mining
, Basic concepts of data stream mining, Springer, Cham, 13-33, 2020, Cites: 16
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. (16)
Quality Control of the Continuous Hot Pressing Process of Medium Density Fiberboard Using Fuzzy Failure Mode and Effects Analysis
, 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: 16
Piotr Duda and Maciej Jaworski and Andrzej Cader and Lipo Wang, On training deep neural networks using a streaming approach. (16)
On training deep neural networks using a streaming approach
, On training deep neural networks using a streaming approach, Journal of Artificial Intelligence and Soft Computing Research, 2020, Cites: 16
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. (15)
Sampled-data set stabilization of impulsive boolean networks based on a hybrid index model
, 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: 15
Piotr Dziwiński and Łukasz Bartczuk and Józef Paszkowski, A new auto adaptive fuzzy hybrid particle swarm optimization and genetic algorithm. (14)
A new auto adaptive fuzzy hybrid particle swarm optimization and genetic algorithm
, A new auto adaptive fuzzy hybrid particle swarm optimization and genetic algorithm, Journal of Artificial Intelligence and Soft Computing Research, 2020, Cites: 14
Janusz T Starczewski and Piotr Goetzen and Christian Napoli, Triangular fuzzy-rough set based fuzzification of fuzzy rule-based systems. (12)
Triangular fuzzy-rough set based fuzzification of fuzzy rule-based systems
, Triangular fuzzy-rough set based fuzzification of fuzzy rule-based systems, Journal of Artificial Intelligence and Soft Computing Research, 2020, Cites: 12
Marcin Gabryel and Konrad Grzanek and Yoichi Hayashi, Browser fingerprint coding methods increasing the effectiveness of user identification in the web traffic. (12)
Browser fingerprint coding methods increasing the effectiveness of user identification in the web traffic
, Browser fingerprint coding methods increasing the effectiveness of user identification in the web traffic, Journal of Artificial Intelligence and Soft Computing Research, 2020, Cites: 12
Robert K Nowicki and Konrad Grzanek and Yoichi Hayashi, Rough support vector machine for classification with interval and incomplete data. (12)
Rough support vector machine for classification with interval and incomplete data
, Rough support vector machine for classification with interval and incomplete data, Journal of Artificial Intelligence and Soft Computing Research, 2020, Cites: 12
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. (10)
Event-triggered impulsive synchronization of discrete-time coupled neural networks with stochastic perturbations and multiple delays
, Event-triggered impulsive synchronization of discrete-time coupled neural networks with stochastic perturbations and multiple delays, Pergamon, Neural Networks, 447-460, 2020, Cites: 10
Rafał Grycuk and Adam Wojciechowski and Wei Wei and Agnieszka Siwocha, Detecting visual objects by edge crawling. (10)
Detecting visual objects by edge crawling
, Detecting visual objects by edge crawling, Journal of Artificial Intelligence and Soft Computing Research, 2020, Cites: 10
Rafał Grycuk and Patryk Najgebauer and Miroslaw Kordos and Magdalena M Scherer and Alina Marchlewska, Fast image index for database management engines. (10)
Fast image index for database management engines
, Fast image index for database management engines, Journal of Artificial Intelligence and Soft Computing Research, 2020, Cites: 10
Marcin Zalasiński and Krystian Łapa and Krzysztof Cpałka and Krzysztof Przybyszewski and Gary G Yen, On-line signature partitioning using a population based algorithm. (9)
On-line signature partitioning using a population based algorithm
, On-line signature partitioning using a population based algorithm, Journal of Artificial Intelligence and Soft Computing Research, 2020, Cites: 9
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. (9)
Nanocomposite for photonics—Nickel pyrophosphate nanocrystals synthesised in silica nanoreactors
, Nanocomposite for photonics—Nickel pyrophosphate nanocrystals synthesised in silica nanoreactors, Elsevier, Microporous and Mesoporous Materials, 110435, 2020, Cites: 9
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. (9)
Prediction of Streamflow Based on Dynamic Sliding Window LSTM
, Prediction of Streamflow Based on Dynamic Sliding Window LSTM, Multidisciplinary Digital Publishing Institute, Water, 11, 3032, 2020, Cites: 9
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. (9)
Event-Triggering Interaction Scheme for Discrete-Time Decentralized Optimization With Nonuniform Step Sizes
, Event-Triggering Interaction Scheme for Discrete-Time Decentralized Optimization With Nonuniform Step Sizes, IEEE, IEEE transactions on cybernetics, 2020, Cites: 9
Dawid Połap and Marcin Wozniak and Marcin Korytkowski and Rafał Scherer, Encoder-Decoder Based CNN Structure for Microscopic Image Identification. (9)
Encoder-Decoder Based CNN Structure for Microscopic Image Identification
, Encoder-Decoder Based CNN Structure for Microscopic Image Identification, Springer, Cham, 301-312, 2020, Cites: 9
Robert Cierniak and Piotr Pluta and Andrzej Kaźmierczak, A practical statistical approach to the reconstruction problem using a single slice rebinning method. (8)
A practical statistical approach to the reconstruction problem using a single slice rebinning method
, A practical statistical approach to the reconstruction problem using a single slice rebinning method, Journal of Artificial Intelligence and Soft Computing Research, 2020, Cites: 8
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. (7)
High-Resolution SAR Image Despeckling Based on Nonlocal Means Filter and Modified AA Model
, High-Resolution SAR Image Despeckling Based on Nonlocal Means Filter and Modified AA Model, Hindawi, Security and Communication Networks, 2020, Cites: 7
Piotr Duda and Krzysztof Przybyszewski and Lipo Wang, A novel drift detection algorithm based on features’ importance analysis in a data streams environment. (6)
A novel drift detection algorithm based on features’ importance analysis in a data streams environment
, 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: 6
Krystian Łapa and Krzysztof Cpałka and Łukasz Laskowski and Andrzej Cader and Zhigang Zeng, Evolutionary algorithm with a configurable search mechanism. (6)
Evolutionary algorithm with a configurable search mechanism
, Evolutionary algorithm with a configurable search mechanism, Journal of Artificial Intelligence and Soft Computing Research, 2020, Cites: 6
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. (6)
Intelligent recommendation of related items based on naive bayes and collaborative filtering combination model
, 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: 6
Maciej Jaworski and Leszek Rutkowski and Plamen Angelov, Concept Drift Detection Using Autoencoders in Data Streams Processing. (5)
Concept Drift Detection Using Autoencoders in Data Streams Processing
, Concept Drift Detection Using Autoencoders in Data Streams Processing, Springer, Cham, 124-133, 2020, Cites: 5
Rafał Scherer, Feature detection. (5)
Feature detection
, Feature detection, Springer, Cham, 7-32, 2020, Cites: 5
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. (5)
Nanostructured Silica with Anchoring Units: The 2D Solid Solvent for Molecules and Metal Ions
, Nanostructured Silica with Anchoring Units: The 2D Solid Solvent for Molecules and Metal Ions, Multidisciplinary Digital Publishing Institute, 21, 8137, 2020, Cites: 5
Jakub Nowak and Taras Holotyak and Marcin Korytkowski and Rafał Scherer and Slava Voloshynovskiy, Fingerprinting of URL logs: continuous user authentication from behavioural patterns. (5)
Fingerprinting of URL logs: continuous user authentication from behavioural patterns
, Fingerprinting of URL logs: continuous user authentication from behavioural patterns, Springer, Cham, 184-195, 2020, Cites: 5
Leszek Rutkowski and Maciej Jaworski and Piotr Duda, Decision trees in data stream mining. (5)
Decision trees in data stream mining
, Decision trees in data stream mining, Springer, Cham, 37-50, 2020, Cites: 5
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. (4)
Event-triggered control for output regulation of probabilistic logical systems with delays
, Event-triggered control for output regulation of probabilistic logical systems with delays, IEEE, IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2020, Cites: 4
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. (4)
A new approach to descriptors generation for image retrieval by analyzing activations of deep neural network layers
, A new approach to descriptors generation for image retrieval by analyzing activations of deep neural network layers, arXiv preprint arXiv:2007.06624, 2020, Cites: 4
Marcin Korytkowski and Rafał Scherer and Dominik Szajerman and Dawid Połap and Marcin Woźniak, Efficient Visual Classification by Fuzzy Rules. (4)
Efficient Visual Classification by Fuzzy Rules
, Efficient Visual Classification by Fuzzy Rules, IEEE, 1-6, 2020, Cites: 4
Kamil Kozłowski and Marcin Korytkowski and Dominik Szajerman, Visual Analysis of Computer Game Output Video Stream for Gameplay Metrics. (4)
Visual Analysis of Computer Game Output Video Stream for Gameplay Metrics
, Visual Analysis of Computer Game Output Video Stream for Gameplay Metrics, Springer, Cham, 538-552, 2020, Cites: 4
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. (4)
Synthesis in Silica Nanoreactor: Copper Pyrophosphate Quantum Dots and Silver Oxide Nanocrystallites Inside Silica Mezochannels
, Synthesis in Silica Nanoreactor: Copper Pyrophosphate Quantum Dots and Silver Oxide Nanocrystallites Inside Silica Mezochannels, Multidisciplinary Digital Publishing Institute, Materials, 9, 2009, 2020, Cites: 4
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. (3)
General Decay Stability for Nonautonomous Neutral Stochastic Systems With Time-Varying Delays and Markovian Switching
, General Decay Stability for Nonautonomous Neutral Stochastic Systems With Time-Varying Delays and Markovian Switching, IEEE, IEEE Transactions on Cybernetics, 2020, Cites: 3
Patryk Najgebauer and Rafał Scherer and Leszek Rutkowski, Fully convolutional network for removing DCT artefacts from images. (3)
Fully convolutional network for removing DCT artefacts from images
, Fully convolutional network for removing DCT artefacts from images, IEEE, 1-8, 2020, Cites: 3
Leszek Rutkowski and Maciej Jaworski and Piotr Duda, Probabilistic Neural Networks for the Streaming Data Classification. (2)
Probabilistic Neural Networks for the Streaming Data Classification
, Probabilistic Neural Networks for the Streaming Data Classification, Springer, Cham, 245-277, 2020, Cites: 2
Arkadiusz Talun and Pawel Drozda and Leszek Bukowski and Rafał Scherer, FastText and XGBoost Content-Based Classification for Employment Web Scraping. (2)
FastText and XGBoost Content-Based Classification for Employment Web Scraping
, FastText and XGBoost Content-Based Classification for Employment Web Scraping, Springer, Cham, 435-444, 2020, Cites: 2
Arijit Das and Indrajit Saha and Rafał Scherer, GhoMR: Multi-Receptive Lightweight Residual Modules for Hyperspectral Classification. (2)
GhoMR: Multi-Receptive Lightweight Residual Modules for Hyperspectral Classification
, GhoMR: Multi-Receptive Lightweight Residual Modules for Hyperspectral Classification, Multidisciplinary Digital Publishing Institute, Sensors, 23, 6823, 2020, Cites: 2
Marcin Zalasiński and Krzysztof Cpałka and Łukasz Laskowski and Donald C Wunsch and Krzysztof Przybyszewski, An algorithm for the evolutionary-fuzzy generation of on-line signature hybrid descriptors. (2)
An algorithm for the evolutionary-fuzzy generation of on-line signature hybrid descriptors
, An algorithm for the evolutionary-fuzzy generation of on-line signature hybrid descriptors, Journal of Artificial Intelligence and Soft Computing Research, 3, 173-187, 2020, Cites: 2
Michał Wróbel and Janusz T Starczewski and Christian Napoli, Grouping Handwritten Letter Strokes Using a Fuzzy Decision Tree. (2)
Grouping Handwritten Letter Strokes Using a Fuzzy Decision Tree
, Grouping Handwritten Letter Strokes Using a Fuzzy Decision Tree, Springer, Cham, 103-113, 2020, Cites: 2
Rafał Scherer, Image Retrieval and Classification in Relational Databases. (2)
Image Retrieval and Classification in Relational Databases
, Image Retrieval and Classification in Relational Databases, Springer, Cham, 107-136, 2020, Cites: 2
Piotr Woldan and Piotr Duda and Yoichi Hayashi, Visual Hybrid Recommendation Systems Based on the Content-Based Filtering. (2)
Visual Hybrid Recommendation Systems Based on the Content-Based Filtering
, Visual Hybrid Recommendation Systems Based on the Content-Based Filtering, Springer, Cham, 455-465, 2020, Cites: 2
Sumit Hazra and Priyankar Roy and Anup Nandy and Rafał Scherer, A pilot study for investigating gait signatures in multi-scenario applications. (2)
A pilot study for investigating gait signatures in multi-scenario applications
, A pilot study for investigating gait signatures in multi-scenario applications, IEEE, 1-10, 2020, Cites: 2
Marcin Zalasiński and Krzysztof Cpałka and Krystian Łapa, An interpretable fuzzy system in the on-line signature scalable verification. (1)
An interpretable fuzzy system in the on-line signature scalable verification
, An interpretable fuzzy system in the on-line signature scalable verification, IEEE, 1-9, 2020, Cites: 1
Anezka Kazikova and Krystian Łapa and Michal Pluhacek and Roman Senkerik, Cascade PID Controller Optimization Using Bison Algorithm. (1)
Cascade PID Controller Optimization Using Bison Algorithm
, Cascade PID Controller Optimization Using Bison Algorithm, Springer, Cham, 406-416, 2020, Cites: 1
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. (1)
Artificial Intelligence and Soft Computing: 19th International Conference, ICAISC 2020, Zakopane, Poland, October 12-14, 2020, Proceedings, Part II
, Artificial Intelligence and Soft Computing: 19th International Conference, ICAISC 2020, Zakopane, Poland, October 12-14, 2020, Proceedings, Part II, Springer Nature, 2020, Cites: 1
Jin-de Cao and Yang Liu and Jian-quan Lu and Leszek Rutkowski, Complex systems and networks with their applications. (1)
Complex systems and networks with their applications
, Complex systems and networks with their applications, Zhejiang University Press, 195-198, 2020, Cites: 1
Paweł Staszewski and Maciej Jaworski and Leszek Rutkowski and Dacheng Tao, Explainable Cluster-Based Rules Generation for Image Retrieval and Classification. (1)
Explainable Cluster-Based Rules Generation for Image Retrieval and Classification
, Explainable Cluster-Based Rules Generation for Image Retrieval and Classification, Springer, Cham, 85-94, 2020, Cites: 1
Łukasz Bartczuk and Piotr Dziwiński and Piotr Goetzen, Nonlinear Fuzzy Modelling of Dynamic Objects with Fuzzy Hybrid Particle Swarm Optimization and Genetic Algorithm. (1)
Nonlinear Fuzzy Modelling of Dynamic Objects with Fuzzy Hybrid Particle Swarm Optimization and Genetic Algorithm
, Nonlinear Fuzzy Modelling of Dynamic Objects with Fuzzy Hybrid Particle Swarm Optimization and Genetic Algorithm, Springer, Cham, 315-325, 2020, Cites: 1
Tomasz Rutkowski and Radosław Nielek and Danuta Rutkowska and Leszek Rutkowski, A Novel Explainable Recommender for Investment Managers. (1)
A Novel Explainable Recommender for Investment Managers
, A Novel Explainable Recommender for Investment Managers, Springer, Cham, 412-422, 2020, Cites: 1
Robert Cierniak and Piotr Pluta, Statistical Iterative Reconstruction Algorithm Based on a Continuous-to-Continuous Model Formulated for Spiral Cone-Beam CT. (1)
Statistical Iterative Reconstruction Algorithm Based on a Continuous-to-Continuous Model Formulated for Spiral Cone-Beam CT
, Statistical Iterative Reconstruction Algorithm Based on a Continuous-to-Continuous Model Formulated for Spiral Cone-Beam CT, Springer, Cham, 613-620, 2020, Cites: 1
Piotr Duda and Lipo Wang, On a Streaming Approach for Training Denoising Auto-encoders. (1)
On a Streaming Approach for Training Denoising Auto-encoders
, On a Streaming Approach for Training Denoising Auto-encoders, Springer, Cham, 315-324, 2020, Cites: 1
Leszek Rutkowski and Maciej Jaworski and Piotr Duda, Hybrid Splitting Criteria. (1)
Hybrid Splitting Criteria
, Hybrid Splitting Criteria, Springer, Cham, 91-113, 2020, Cites: 1
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. (1)
Normal Grouping Density Separation (NGDS): A Novel Object-Driven Indoor Point Cloud Partition Method
, Normal Grouping Density Separation (NGDS): A Novel Object-Driven Indoor Point Cloud Partition Method, Springer, Cham, 100-114, 2020, Cites: 1
Leszek Rutkowski and Maciej Jaworski and Piotr Duda, Splitting Criteria with the Bias Term. (0)
Splitting Criteria with the Bias Term
, Splitting Criteria with the Bias Term, Springer, Cham, 83-89, 2020, Cites: 0
Leszek Rutkowski and Maciej Jaworski and Piotr Duda, Final Remarks and Challenging Problems. (0)
Final Remarks and Challenging Problems
, Final Remarks and Challenging Problems, Springer, Cham, 323-327, 2020, Cites: 0
Krystian Łapa and Krzysztof Cpałka and Tacjana Niksa-Rynkiewicz and Lipo Wang, A Population-Based Method with Selection of a Search Operator. (0)
A Population-Based Method with Selection of a Search Operator
, A Population-Based Method with Selection of a Search Operator, Springer, Cham, 429-444, 2020, Cites: 0
Rafał Scherer, Concluding Remarks and Perspectives in Computer Vision. (0)
Concluding Remarks and Perspectives in Computer Vision
, Concluding Remarks and Perspectives in Computer Vision, Springer, Cham, 137-137, 2020, Cites: 0
Rafał Grycuk and Rafał Scherer, Novel Fast Binary Hash for Content-based Solar Image Retrieval. (0)
Novel Fast Binary Hash for Content-based Solar Image Retrieval
, Novel Fast Binary Hash for Content-based Solar Image Retrieval, IEEE, 1-7, 2020, Cites: 0
Leszek Rutkowski and Maciej Jaworski and Piotr Duda, Misclassification Error Impurity Measure. (0)
Misclassification Error Impurity Measure
, Misclassification Error Impurity Measure, Springer, Cham, 63-82, 2020, Cites: 0
Leszek Rutkowski and Maciej Jaworski and Piotr Duda, Regression. (0)
Regression
, Regression, Springer, Cham, 309-322, 2020, Cites: 0
Rafał Scherer, Image Indexing Techniques. (0)
Image Indexing Techniques
, Image Indexing Techniques, Springer, Cham, 33-82, 2020, Cites: 0
Marcin Gabryel and Krzysztof Przybyszewski, Methods of Searching for Similar Device Fingerprints Using Changes in Unstable Parameters. (0)
Methods of Searching for Similar Device Fingerprints Using Changes in Unstable Parameters
, Methods of Searching for Similar Device Fingerprints Using Changes in Unstable Parameters, Springer, Cham, 325-335, 2020, Cites: 0
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. (0)
Experimental Investigation of Recurrent Neural Network Fractional-Order Sliding Mode Control of Active Power Filter
, 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
Wei Wei and MingWei Hui and BeiBei Zhang and Rafal Scherer and Fan Gao and Robertas Damaševičius, Research on variable scale algorithm. (0)
Research on variable scale algorithm
, Research on variable scale algorithm, IEEE, 316-322, 2020, Cites: 0
Leszek Rutkowski and Maciej Jaworski and Piotr Duda, General Non-parametric Learning Procedure for Tracking Concept Drift. (0)
General Non-parametric Learning Procedure for Tracking Concept Drift
, General Non-parametric Learning Procedure for Tracking Concept Drift, Springer, Cham, 155-172, 2020, Cites: 0
Wei Wei and Xiaowan Li and Beibei Zhang and Xia Liu and Rafal Scherer and Robertas Damaševičius, Educational Management System. (0)
Educational Management System
, Educational Management System, IEEE, 53-56, 2020, Cites: 0
Robert Cierniak, Fast iterative image reconstruction method for emission tomography. (0)
Fast iterative image reconstruction method for emission tomography
, Fast iterative image reconstruction method for emission tomography, 2020, Cites: 0
Leszek Rutkowski and Maciej Jaworski and Piotr Duda, Basic Concepts of Probabilistic Neural Networks. (0)
Basic Concepts of Probabilistic Neural Networks
, Basic Concepts of Probabilistic Neural Networks, Springer, Cham, 117-154, 2020, Cites: 0
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. (0)
Design and implementation of forward modeling algorithm for anisotropic seismic waves
, Design and implementation of forward modeling algorithm for anisotropic seismic waves, IEEE, 341-350, 2020, Cites: 0
Jakub Nowak and Marcin Korytkowski and Rafał Scherer, Discovering Sequential Patterns by Neural Networks. (0)
Discovering Sequential Patterns by Neural Networks
, Discovering Sequential Patterns by Neural Networks, IEEE, 1-6, 2020, Cites: 0
Marcin Zalasiński and Krzysztof Cpałka and Tacjana Niksa-Rynkiewicz, The Dynamic Signature Verification Using population-Based Vertical Partitioning. (0)
The Dynamic Signature Verification Using population-Based Vertical Partitioning
, The Dynamic Signature Verification Using population-Based Vertical Partitioning, Springer, Cham, 569-579, 2020, Cites: 0
Jakub Nowak and Kamila Milkowska and Magdalena Scherer and Arkadiusz Talun and Marcin Korytkowski, Job Offer Analysis Using Convolutional and Recurrent Convolutional Networks. (0)
Job Offer Analysis Using Convolutional and Recurrent Convolutional Networks
, Job Offer Analysis Using Convolutional and Recurrent Convolutional Networks, Springer, Cham, 380-387, 2020, Cites: 0
Marcin Zalasiński and Krzysztof Cpałka and Tacjana Niksa-Rynkiewicz and Yoichi Hayashi, Signature Partitioning Using Selected Population-Based Algorithms. (0)
Signature Partitioning Using Selected Population-Based Algorithms
, Signature Partitioning Using Selected Population-Based Algorithms, Springer, Cham, 480-488, 2020, Cites: 0
Leszek Rutkowski and Maciej Jaworski and Piotr Duda, The General Procedure of Ensembles Construction in Data Stream Scenarios. (0)
The General Procedure of Ensembles Construction in Data Stream Scenarios
, The General Procedure of Ensembles Construction in Data Stream Scenarios, Springer, Cham, 281-286, 2020, Cites: 0
Leszek Rutkowski and Maciej Jaworski and Piotr Duda, Splitting Criteria Based on the McDiarmid’s Theorem. (0)
Splitting Criteria Based on the McDiarmid’s Theorem
, Splitting Criteria Based on the McDiarmid’s Theorem, Springer, Cham, 51-62, 2020, Cites: 0
Rafał Grycuk and Kelton Costa and Rafał Scherer, Active Region-Based Full-Disc Solar Image Hashing. (0)
Active Region-Based Full-Disc Solar Image Hashing
, Active Region-Based Full-Disc Solar Image Hashing, Springer, Cham, 19-30, 2020, Cites: 0
Leszek Rutkowski and Maciej Jaworski and Piotr Duda, Introduction and Overview of the Main Results of the Book. (0)
Introduction and Overview of the Main Results of the Book
, Introduction and Overview of the Main Results of the Book, Springer, Cham, 1-10, 2020, Cites: 0
Rafał Scherer, Novel Methods for Image Description. (0)
Novel Methods for Image Description
, Novel Methods for Image Description, Springer, Cham, 83-105, 2020, Cites: 0
Leszek Rutkowski and Maciej Jaworski and Piotr Duda, Nonparametric Regression Models for Data Streams Based on the Generalized Regression Neural Networks. (0)
Nonparametric Regression Models for Data Streams Based on the Generalized Regression Neural Networks
, Nonparametric Regression Models for Data Streams Based on the Generalized Regression Neural Networks, Springer, Cham, 173-244, 2020, Cites: 0
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. (0)
Online Job Search and Recruitment Platform for College Students Based on SSH
, Online Job Search and Recruitment Platform for College Students Based on SSH, IEEE, 355-358, 2020, Cites: 02019 (52)
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. (72)
Constrained quaternion-variable convex optimization: a quaternion-valued recurrent neural network approach
, 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: 72
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. (54)
Anti-synchronization in fixed time for discontinuous reaction–diffusion neural networks with time-varying coefficients and time delay
, 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: 54
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. (39)
Distributed dynamic self-triggered control for uncertain complex networks with Markov switching topologies and random time-varying delay
, 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: 39
Piotr Dziwiński and Łukasz Bartczuk, A New Hybrid Particle Swarm Optimization and Genetic Algorithm Method Controlled by Fuzzy Logic. (39)
A New Hybrid Particle Swarm Optimization and Genetic Algorithm Method Controlled by Fuzzy Logic
, A New Hybrid Particle Swarm Optimization and Genetic Algorithm Method Controlled by Fuzzy Logic, IEEE, IEEE Transactions on Fuzzy Systems, 2019, Cites: 39
Lin Lin and Jinde Cao and Leszek Rutkowski, Robust event-triggered control invariance of probabilistic Boolean control networks. (33)
Robust event-triggered control invariance of probabilistic Boolean control networks
, Robust event-triggered control invariance of probabilistic Boolean control networks, IEEE, IEEE transactions on neural networks and learning systems, 3, 1060-1065, 2019, Cites: 33
Darius Dirvanauskas and Rytis Maskeliūnas and Vidas Raudonis and Robertas Damaševičius and Rafal Scherer, Hemigen: human embryo image generator based on generative adversarial networks. (28)
Hemigen: human embryo image generator based on generative adversarial networks
, Hemigen: human embryo image generator based on generative adversarial networks, Multidisciplinary Digital Publishing Institute, Sensors, 16, 3578, 2019, Cites: 28
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. (24)
Distributed dynamic self-triggered impulsive control for consensus networks: The case of impulse gain with normal distribution
, Distributed dynamic self-triggered impulsive control for consensus networks: The case of impulse gain with normal distribution, IEEE, IEEE transactions on cybernetics, 2019, Cites: 24
Tomasz Rutkowski and Krystian Łapa and Radosław Nielek, On explainable fuzzy recommenders and their performance evaluation. (20)
On explainable fuzzy recommenders and their performance evaluation
, On explainable fuzzy recommenders and their performance evaluation, International Journal of Applied Mathematics and Computer Science, 3, 2019, Cites: 20
Bingquan Chen and Jinde Cao and Guoping Lu and Leszek Rutkowski, Lyapunov Functions for the Set Stability and the Synchronization of Boolean Control Networks. (20)
Lyapunov Functions for the Set Stability and the Synchronization of Boolean Control Networks
, 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: 20
Krystian Łapa, Meta-optimization of Multi-objective Population-based Algorithms using Multi-objective Performance Metrics. (11)
Meta-optimization of Multi-objective Population-based Algorithms using Multi-objective Performance Metrics
, Meta-optimization of Multi-objective Population-based Algorithms using Multi-objective Performance Metrics, Elsevier, Information Sciences, 193-204, 2019, Cites: 11
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. (11)
On explainable flexible fuzzy recommender and its performance evaluation using the akaike information criterion
, On explainable flexible fuzzy recommender and its performance evaluation using the akaike information criterion, Springer, Cham, 717-724, 2019, Cites: 11
Maciej Jaworski and Leszek Rutkowski and Piotr Duda and Andrzej Cader, Resource-aware data stream mining using the Restricted Boltzmann Machine. (10)
Resource-aware data stream mining using the Restricted Boltzmann Machine
, Resource-aware data stream mining using the Restricted Boltzmann Machine, Springer, Cham, 384-396, 2019, Cites: 10
Patryk Najgebauer and Rafał Scherer, Inertia-based Fast Vectorization of Line Drawings. (9)
Inertia-based Fast Vectorization of Line Drawings
, Inertia-based Fast Vectorization of Line Drawings, https://diglib.eg.org/handle/10.1111/cgf13829?show=full, 7, 203-213, 2019, Cites: 9
Adam Słowik and Krzysztof Cpałka and Krystian Łapa, Multipopulation Nature-Inspired Algorithm (MNIA) for the Designing of Interpretable Fuzzy Systems. (9)
Multipopulation Nature-Inspired Algorithm (MNIA) for the Designing of Interpretable Fuzzy Systems
, Multipopulation Nature-Inspired Algorithm (MNIA) for the Designing of Interpretable Fuzzy Systems, IEEE, IEEE Transactions on Fuzzy Systems, 6, 1125-1139, 2019, Cites: 9
Michał Ła̧giewka and Marcin Korytkowski and Rafal Scherer, Distributed image retrieval with colour and keypoint features. (8)
Distributed image retrieval with colour and keypoint features
, Distributed image retrieval with colour and keypoint features, Taylor & Francis, Journal of Information and Telecommunication, 4, 430-445, 2019, Cites: 8
Tomasz Rutkowski and Krystian Łapa and Robert Nowicki and Radosław Nielek and Konrad Grzanek, On explainable recommender systems based on fuzzy rule generation techniques. (7)
On explainable recommender systems based on fuzzy rule generation techniques
, On explainable recommender systems based on fuzzy rule generation techniques, Springer, Cham, 358-372, 2019, Cites: 7
Marcin Gabryel and Krzysztof Przybyszewski, The dynamically modified BoW algorithm used in assessing clicks in online ads. (5)
The dynamically modified BoW algorithm used in assessing clicks in online ads
, The dynamically modified BoW algorithm used in assessing clicks in online ads, Springer, Cham, 350-360, 2019, Cites: 5
Krystian Łapa and Krzysztof Cpałka and Józef Paszkowski, Hybrid multi-population based approach for controllers structure and parameters selection. (5)
Hybrid multi-population based approach for controllers structure and parameters selection
, Hybrid multi-population based approach for controllers structure and parameters selection, Springer, Cham, 456-468, 2019, Cites: 5
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. (5)
Optimal Control on Finite-Time Consensus of the Leader-Following Stochastic Multiagent System With Heuristic Method
, 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: 5
Robert K Nowicki, Rough Set-Based Classification Systems. (5)
Rough Set-Based Classification Systems
, Rough Set-Based Classification Systems, Springer, 2019, Cites: 5
Krystian Łapa and Krzysztof Cpałka and Marcin Zalasiński, Algorithm Based on Population with a Flexible Search Mechanism. (4)
Algorithm Based on Population with a Flexible Search Mechanism
, Algorithm Based on Population with a Flexible Search Mechanism, IEEE, IEEE Access, 132253-132270, 2019, Cites: 4
Piotr Opiełka and Janusz T Starczewski and Michał Wróbel and Katarzyna Nieszporek and Alina Marchlewska, Application of spiking neural networks to fashion classification. (4)
Application of spiking neural networks to fashion classification
, Application of spiking neural networks to fashion classification, Springer, Cham, 172-180, 2019, Cites: 4
Robert K Nowicki, Rough set theory fundamentals. (4)
Rough set theory fundamentals
, Rough set theory fundamentals, Springer, Cham, 7-16, 2019, Cites: 4
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. (4)
Exponential stabilization for hybrid recurrent neural networks by delayed noises rooted in discrete observations of state and mode
, 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: 4
Rafal Grycuk and Patryk Najgebauer and Robert Nowicki and Rafal Scherer, Multilayer Architecture for Content-based Image Retrieval Systems. (4)
Multilayer Architecture for Content-based Image Retrieval Systems
, Multilayer Architecture for Content-based Image Retrieval Systems, IEEE, 119-126, 2019, Cites: 4
Piotr Dziwiński and Łukasz Bartczuk and Piotr Goetzen, A new hybrid particle swarm optimization and evolutionary algorithm. (4)
A new hybrid particle swarm optimization and evolutionary algorithm
, A new hybrid particle swarm optimization and evolutionary algorithm, Springer, Cham, 432-444, 2019, Cites: 4
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. (3)
The method of predicting changes of a dynamic signature using possibilities of population-based algorithms
, The method of predicting changes of a dynamic signature using possibilities of population-based algorithms, Springer, Cham, 540-549, 2019, Cites: 3
Marcin Zalasiński and Krystian Łapa and Magdalena Laskowska, Intelligent Approach to the Prediction of Changes in Biometric Attributes. (3)
Intelligent Approach to the Prediction of Changes in Biometric Attributes
, Intelligent Approach to the Prediction of Changes in Biometric Attributes, IEEE, IEEE Transactions on Fuzzy Systems, 6, 1073-1083, 2019, Cites: 3
Robert K Nowicki, Rough Nearest Neighbour Classifier. (3)
Rough Nearest Neighbour Classifier
, Rough Nearest Neighbour Classifier, Springer, Cham, 133-159, 2019, Cites: 3
Michał Wróbel and Janusz T Starczewski and Katarzyna Nieszporek and Piotr Opiełka and Andrzej Kaźmierczak, A greedy algorithm for extraction of handwritten strokes. (2)
A greedy algorithm for extraction of handwritten strokes
, A greedy algorithm for extraction of handwritten strokes, Springer, Cham, 464-473, 2019, Cites: 2
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. (2)
On handling missing values in data stream mining algorithms based on the restricted Boltzmann machine
, On handling missing values in data stream mining algorithms based on the restricted Boltzmann machine, Springer, Cham, 347-354, 2019, Cites: 2
Rafal Grycuk and Rafal Scherer, Software framework for fast image retrieval. (2)
Software framework for fast image retrieval
, Software framework for fast image retrieval, IEEE, 588-593, 2019, Cites: 2
Jakub Nowak and Marcin Korytkowski and Marcin Wozniak and Patryk Najgebauer and Rafal Scherer, URL-based Phishing Attack Detection by Convolutional Neural Network. (2)
URL-based Phishing Attack Detection by Convolutional Neural Network
, URL-based Phishing Attack Detection by Convolutional Neural Network, 2, 60-67, 2019, Cites: 2
Jakub Nowak and Marcin Korytkowski and Marcin Wozniak and Rafal Scherer, URL-based Phishing Attack Detection by Convolutional Neural Networks.. (2)
URL-based Phishing Attack Detection by Convolutional Neural Networks.
, URL-based Phishing Attack Detection by Convolutional Neural Networks., Aust. J. Intell. Inf. Process. Syst., 2, 60-67, 2019, Cites: 2
Patryk Najgebauer and Rafał Grycuk and Leszek Rutkowski and Rafał Scherer and Agnieszka Siwocha, Microscopic sample segmentation by fully convolutional network for parasite detection. (2)
Microscopic sample segmentation by fully convolutional network for parasite detection
, Microscopic sample segmentation by fully convolutional network for parasite detection, Springer, Cham, 164-171, 2019, Cites: 2
Danuta Rutkowska and Leszek Rutkowski, On the Hermite Series-Based Generalized Regression Neural Networks for Stream Data Mining. (2)
On the Hermite Series-Based Generalized Regression Neural Networks for Stream Data Mining
, On the Hermite Series-Based Generalized Regression Neural Networks for Stream Data Mining, Springer, Cham, 437-448, 2019, Cites: 2
Janusz T Starczewski and Robert K Nowicki and Katarzyna Nieszporek, Fuzzy-rough Fuzzification in General FL Classifiers.. (2)
Fuzzy-rough Fuzzification in General FL Classifiers.
, Fuzzy-rough Fuzzification in General FL Classifiers., 335-342, 2019, Cites: 2
Jakub Nowak and Marcin Korytkowski and Rafał Scherer, Convolutional recurrent neural networks for computer network analysis. (1)
Convolutional recurrent neural networks for computer network analysis
, Convolutional recurrent neural networks for computer network analysis, Springer, Cham, 747-757, 2019, Cites: 1
Robert K Nowicki and Janusz T Starczewski and Rafal Grycuk, Extended Possibilistic Fuzzification for Classification.. (1)
Extended Possibilistic Fuzzification for Classification.
, Extended Possibilistic Fuzzification for Classification., 343-350, 2019, Cites: 1
Robert K Nowicki, Rough Fuzzy Classification Systems. (1)
Rough Fuzzy Classification Systems
, Rough Fuzzy Classification Systems, Springer, Cham, 17-70, 2019, Cites: 1
Robert K Nowicki, Rough Neural Network Classifier. (1)
Rough Neural Network Classifier
, Rough Neural Network Classifier, Springer, Cham, 95-132, 2019, Cites: 1
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. (1)
Sequential Data Mining of Network Traffic in URL Logs
, Sequential Data Mining of Network Traffic in URL Logs, Springer, Cham, 125-130, 2019, Cites: 1
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. (0)
Iterative Statistical Reconstruction Algorithm Based on CC Data Model with the Direct Use of Projections Performed in Spiral Cone-Beam CT Scanners
, 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
Robert K Nowicki, Fuzzy Rough Classification Systems. (0)
Fuzzy Rough Classification Systems
, Fuzzy Rough Classification Systems, Springer, Cham, 71-93, 2019, Cites: 0
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. (0)
Corrigendum to ‘How to adjust an ensemble size in stream data mining?’Information Sciences, vol. 381 (2017), pp. 46-54
, 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
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. (0)
Realizations of the Statistical Reconstruction Method Based on the Continuous-to-Continuous Data Model
, Realizations of the Statistical Reconstruction Method Based on the Continuous-to-Continuous Data Model, Springer, Cham, 149-156, 2019, Cites: 0
Jakub Nowak and Marcin Korytkowski and Marcin Wozniak and Rafal Scherer, Discovering Sequences in Systems Logs by Neural Networks. (0)
Discovering Sequences in Systems Logs by Neural Networks
, Discovering Sequences in Systems Logs by Neural Networks, 2, 69-76, 2019, Cites: 0
Jakub Nowak and Marcin Korytkowski and Marcin Wozniak and Rafal Scherer, Discovering Sequences in Systems Logs by Neural Networks.. (0)
Discovering Sequences in Systems Logs by Neural Networks.
, Discovering Sequences in Systems Logs by Neural Networks., Aust. J. Intell. Inf. Process. Syst., 2, 69-76, 2019, Cites: 0
Piotr Woldan and Paweł Staszewski and Leszek Rutkowski and Konrad Grzanek, On Proper Designing of Deep Structures for Image Classification. (0)
On Proper Designing of Deep Structures for Image Classification
, On Proper Designing of Deep Structures for Image Classification, Springer, Cham, 223-235, 2019, Cites: 0
Robert Cierniak and Piotr Dobosz and Andrzej Grzybowski, EM-ML algorithm based on continuous-to-continuous model for PET. (0)
EM-ML algorithm based on continuous-to-continuous model for PET
, EM-ML algorithm based on continuous-to-continuous model for PET, International Society for Optics and Photonics, 1107236, 2019, Cites: 0
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. (0)
Artificial Intelligence and Soft Computing: 18th International Conference, ICAISC 2019, Zakopane, Poland, June 16–20, 2019, Proceedings, Part II
, Artificial Intelligence and Soft Computing: 18th International Conference, ICAISC 2019, Zakopane, Poland, June 16–20, 2019, Proceedings, Part II, Springer, 2019, Cites: 0
Robert K Nowicki, Ensembles of Rough Set–Based Classifiers. (0)
Ensembles of Rough Set–Based Classifiers
, Ensembles of Rough Set–Based Classifiers, Springer, Cham, 161-184, 2019, Cites: 02018 (35)
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. (41)
A content-based recommendation system using neuro-fuzzy approach
, A content-based recommendation system using neuro-fuzzy approach, IEEE, 1-8, 2018, Cites: 41
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. (36)
On the Parzen kernel-based probability density function learning procedures over time-varying streaming data with applications to pattern classification
, 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: 36
Piotr Duda and Maciej Jaworski and Leszek Rutkowski, Knowledge discovery in data streams with the orthogonal series-based generalized regression neural networks. (30)
Knowledge discovery in data streams with the orthogonal series-based generalized regression neural networks
, Knowledge discovery in data streams with the orthogonal series-based generalized regression neural networks, Elsevier, Information Sciences, 497-518, 2018, Cites: 30
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. (30)
Convergent time-varying regression models for data streams: Tracking concept drift by the recursive Parzen-based generalized regression neural networks
, 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: 30
Marcin Gabryel, The Bag-of-Words Method with Different Types of Image Features and Dictionary Analysis.. (19)
The Bag-of-Words Method with Different Types of Image Features and Dictionary Analysis.
, The Bag-of-Words Method with Different Types of Image Features and Dictionary Analysis., J. UCS, 4, 357-371, 2018, Cites: 19
Marcin Gabryel, Data analysis algorithm for click fraud recognition. (17)
Data analysis algorithm for click fraud recognition
, Data analysis algorithm for click fraud recognition, Springer, Cham, 437-446, 2018, Cites: 17
Marcin Zalasiński and Krystian Łapa and Krzysztof Cpałka, Prediction of values of the dynamic signature features. (16)
Prediction of values of the dynamic signature features
, Prediction of values of the dynamic signature features, Pergamon, Expert Systems with Applications, 86-96, 2018, Cites: 16
Krystian Łapa and Krzysztof Cpałka and Leszek Rutkowski, New aspects of interpretability of fuzzy systems for nonlinear modeling. (15)
New aspects of interpretability of fuzzy systems for nonlinear modeling
, New aspects of interpretability of fuzzy systems for nonlinear modeling, Springer, Cham, 225-264, 2018, Cites: 15
Krzysztof Cpalka and Krystian Łapa and Andrzej Przybył, Genetic programming algorithm for designing of control systems. (13)
Genetic programming algorithm for designing of control systems
, Genetic programming algorithm for designing of control systems, Information Technology and Control, 4, 668-683, 2018, Cites: 13
Marcin Zalasiński and Krzysztof Cpałka, A new method for signature verification based on selection of the most important partitions of the dynamic signature. (12)
A new method for signature verification based on selection of the most important partitions of the dynamic signature
, A new method for signature verification based on selection of the most important partitions of the dynamic signature, Elsevier, Neurocomputing, 13-22, 2018, Cites: 12
Mirosław Kordos and Krystian Łapa, Multi-objective evolutionary instance selection for regression tasks. (11)
Multi-objective evolutionary instance selection for regression tasks
, Multi-objective evolutionary instance selection for regression tasks, Multidisciplinary Digital Publishing Institute, Entropy, 10, 746, 2018, Cites: 11
Maciej Jaworski and Piotr Duda and Leszek Rutkowski, Concept drift detection in streams of labelled data using the restricted Boltzmann machine. (10)
Concept drift detection in streams of labelled data using the restricted Boltzmann machine
, Concept drift detection in streams of labelled data using the restricted Boltzmann machine, IEEE, 1-7, 2018, Cites: 10
Jakub Nowak and Marcin Korytkowski and Robert Nowicki and Rafał Scherer and Agnieszka Siwocha, Random forests for profiling computer network users. (10)
Random forests for profiling computer network users
, Random forests for profiling computer network users, Springer, Cham, 734-739, 2018, Cites: 10
Krystian Łapa and Krzysztof Cpałka and Andrzej Przybył and Konrad Grzanek, Negative space-based population initialization algorithm (NSPIA). (10)
Negative space-based population initialization algorithm (NSPIA)
, Negative space-based population initialization algorithm (NSPIA), Springer, Cham, 449-461, 2018, Cites: 10
Piotr Duda and Maciej Jaworski and Leszek Rutkowski, Online GRNN-based ensembles for regression on evolving data streams. (9)
Online GRNN-based ensembles for regression on evolving data streams
, Online GRNN-based ensembles for regression on evolving data streams, Springer, Cham, 221-228, 2018, Cites: 9
Marcin Zalasiński and Krzysztof Cpałka and Leszek Rutkowski, Fuzzy-genetic approach to identity verification using a handwritten signature. (9)
Fuzzy-genetic approach to identity verification using a handwritten signature
, Fuzzy-genetic approach to identity verification using a handwritten signature, Springer, Cham, 375-394, 2018, Cites: 9
A. Przybył, Hard real-time communication solution for mechatronic systems. (8)
Hard real-time communication solution for mechatronic systems
, Hard real-time communication solution for mechatronic systems, Elsevier Ltd., Robotics and Computer-Integrated Manufacturing, 309-316, 2018, Cites: 8
Marcin Gabryel and Robertas Damaševičius and Krzysztof Przybyszewski, Application of the bag-of-words algorithm in classification the quality of sales leads. (8)
Application of the bag-of-words algorithm in classification the quality of sales leads
, Application of the bag-of-words algorithm in classification the quality of sales leads, Springer, Cham, 615-622, 2018, Cites: 8
Adam E Gaweda and Janusz Kacprzyk and Leszek Rutkowski and Gary G Yen, Advances in Data Analysis with Computational Intelligence Methods. (7)
Advances in Data Analysis with Computational Intelligence Methods
, Advances in Data Analysis with Computational Intelligence Methods, Springer, 2018, Cites: 7
R Cierniak, Analytical statistical reconstruction algorithm with the direct use of projections performed in spiral cone-beam scanners. (5)
Analytical statistical reconstruction algorithm with the direct use of projections performed in spiral cone-beam scanners
, Analytical statistical reconstruction algorithm with the direct use of projections performed in spiral cone-beam scanners, Proceedings of the 5th International Meeting on Image Formation in X-Ray Computed Tomography, 293-296, 2018, Cites: 5
Michał Wróbel and Katarzyna Nieszporek and Janusz T Starczewski and Andrzej Cader, A fuzzy measure for recognition of handwritten letter strokes. (5)
A fuzzy measure for recognition of handwritten letter strokes
, A fuzzy measure for recognition of handwritten letter strokes, Springer, Cham, 761-770, 2018, Cites: 5
Piotr Dziwiński and Łukasz Bartczuk and Krzysztof Przybyszewski, A population based algorithm and fuzzy decision trees for nonlinear modeling. (4)
A population based algorithm and fuzzy decision trees for nonlinear modeling
, A population based algorithm and fuzzy decision trees for nonlinear modeling, Springer, Cham, 516-531, 2018, Cites: 4
Jakub Nowak and Marcin Korytkowski and Rafal Scherer, Classification of computer network users with convolutional neural networks. (4)
Classification of computer network users with convolutional neural networks
, Classification of computer network users with convolutional neural networks, IEEE, 501-504, 2018, Cites: 4
Robert K Nowicki and Marcin Korytkowski and Rafal Scherer, Rough neural network ensemble for interval data classification. (4)
Rough neural network ensemble for interval data classification
, Rough neural network ensemble for interval data classification, IEEE, 1-7, 2018, Cites: 4
Janusz T Starczewski and Katarzyna Nieszporek and Michał Wróbel and Konrad Grzanek, A fuzzy SOM for understanding incomplete 3d faces. (3)
A fuzzy SOM for understanding incomplete 3d faces
, A fuzzy SOM for understanding incomplete 3d faces, Springer, Cham, 73-80, 2018, Cites: 3
Mirosław Kordos and Marcin Wydrzyński and Krystian Łapa, Obtaining pareto front in instance selection with ensembles and populations. (3)
Obtaining pareto front in instance selection with ensembles and populations
, Obtaining pareto front in instance selection with ensembles and populations, Springer, Cham, 438-448, 2018, Cites: 3
Piotr Duda, On ensemble components selection in data streams scenario with gradual concept-drift. (3)
On ensemble components selection in data streams scenario with gradual concept-drift
, On ensemble components selection in data streams scenario with gradual concept-drift, Springer, Cham, 311-320, 2018, Cites: 3
Krystian Łapa and Krzysztof Cpałka, Evolutionary approach for automatic design of PID controllers. (2)
Evolutionary approach for automatic design of PID controllers
, Evolutionary approach for automatic design of PID controllers, Springer, Cham, 353-373, 2018, Cites: 2
Patryk Najgebauer and Rafal Grycuk and Rafal Scherer, Fast two-level image indexing based on local interest points. (2)
Fast two-level image indexing based on local interest points
, Fast two-level image indexing based on local interest points, IEEE, 613-617, 2018, Cites: 2
Rafał Grycuk and Patryk Najgebauer and Rafał Scherer and Agnieszka Siwocha, Architecture of database index for content-based image retrieval systems. (2)
Architecture of database index for content-based image retrieval systems
, Architecture of database index for content-based image retrieval systems, Springer, Cham, 36-47, 2018, Cites: 2
Jinde Cao and Leszek Rutkowski, On the Global Convergence of the Parzen-Based Generalized Regression Neural Networks Applied to Streaming Data. (1)
On the Global Convergence of the Parzen-Based Generalized Regression Neural Networks Applied to Streaming Data
, On the Global Convergence of the Parzen-Based Generalized Regression Neural Networks Applied to Streaming Data, Springer, Cham, 25-34, 2018, Cites: 1
Marcin Zalasiński and Krzysztof Cpałka and Konrad Grzanek, Stability of Features Describing the Dynamic Signature Biometric Attribute. (0)
Stability of Features Describing the Dynamic Signature Biometric Attribute
, Stability of Features Describing the Dynamic Signature Biometric Attribute, Springer, Cham, 250-261, 2018, Cites: 0
Łukasz Bartczuk and Piotr Dziwiński and Andrzej Cader, Symbolic Regression with the AMSTA+ GP in a Non-linear Modelling of Dynamic Objects. (0)
Symbolic Regression with the AMSTA+ GP in a Non-linear Modelling of Dynamic Objects
, Symbolic Regression with the AMSTA+ GP in a Non-linear Modelling of Dynamic Objects, Springer, Cham, 504-515, 2018, Cites: 0
Robert Cierniak and Piotr Dobosz and Piotr Pluta and Zbigniew Filutowicz, Analytical Realization of the EM Algorithm for Emission Positron Tomography. (0)
Analytical Realization of the EM Algorithm for Emission Positron Tomography
, Analytical Realization of the EM Algorithm for Emission Positron Tomography, Springer, Cham, 127-136, 2018, Cites: 0
Robert Cierniak and Piotr Dobosz and Piotr Pluta and Zbigniew Filutowicz, Correction to: Analytical Realization of the EM Algorithm for Emission Positron Tomography. (0)
Correction to: Analytical Realization of the EM Algorithm for Emission Positron Tomography
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Mariusz Zȩbik and Marcin Korytkowski and Rafal Angryk and Rafał Scherer, Convolutional neural networks for time series classification. (504)
Convolutional neural networks for time series classification
, Convolutional neural networks for time series classification, Springer, Cham, 635-642, 2017, Cites: 504
Jakub Nowak and Ahmet Taspinar and Rafał Scherer, LSTM recurrent neural networks for short text and sentiment classification. (121)
LSTM recurrent neural networks for short text and sentiment classification
, LSTM recurrent neural networks for short text and sentiment classification, Springer, Cham, 553-562, 2017, Cites: 121
Maciej Jaworski and Piotr Duda and Leszek Rutkowski, New splitting criteria for decision trees in stationary data streams. (88)
New splitting criteria for decision trees in stationary data streams
, New splitting criteria for decision trees in stationary data streams, IEEE, IEEE transactions on neural networks and learning systems, 6, 2516-2529, 2017, Cites: 88
Krzysztof Cpałka, Design of interpretable fuzzy systems. (67)
Design of interpretable fuzzy systems
, Design of interpretable fuzzy systems, Springer International Publishing, 2017, Cites: 67
Lena Pietruczuk and Leszek Rutkowski and Maciej Jaworski and Piotr Duda, How to adjust an ensemble size in stream data mining?. (67)
How to adjust an ensemble size in stream data mining?
, How to adjust an ensemble size in stream data mining?, Elsevier, Information Sciences, 46-54, 2017, Cites: 67
Marcin Gabryel and Robertas Damaševičius, The image classification with different types of image features. (32)
The image classification with different types of image features
, The image classification with different types of image features, Springer, Cham, 497-506, 2017, Cites: 32
Krystian Łapa and Krzysztof Cpałka, Flexible fuzzy PID controller (FFPIDC) and a nature-inspired method for its construction. (26)
Flexible fuzzy PID controller (FFPIDC) and a nature-inspired method for its construction
, Flexible fuzzy PID controller (FFPIDC) and a nature-inspired method for its construction, IEEE, IEEE Transactions on Industrial Informatics, 3, 1078-1088, 2017, Cites: 26
L Rutkowski and M Korytkowski and R Scherer and R Tadeusiewicz and L Zadeh and J Zurada, Springer: Cham. (24)
Springer: Cham
, Springer: Cham, Switzerland, 52-63, 2017, Cites: 24
Robert K Nowicki and Janusz T Starczewski, A new method for classification of imprecise data using fuzzy rough fuzzification. (22)
A new method for classification of imprecise data using fuzzy rough fuzzification
, A new method for classification of imprecise data using fuzzy rough fuzzification, Elsevier, Information Sciences, 33-52, 2017, Cites: 22
Maciej Jaworski and Piotr Duda and Leszek Rutkowski, On applying the restricted Boltzmann machine to active concept drift detection. (21)
On applying the restricted Boltzmann machine to active concept drift detection
, On applying the restricted Boltzmann machine to active concept drift detection, IEEE, 1-8, 2017, Cites: 21
Marcin Korytkowski, Novel visual information indexing in relational databases. (16)
Novel visual information indexing in relational databases
, Novel visual information indexing in relational databases, IOS Press, Integrated Computer-Aided Engineering, 2, 119-128, 2017, Cites: 16
Piotr Duda and Maciej Jaworski and Leszek Rutkowski, On ensemble components selection in data streams scenario with reoccurring concept-drift. (16)
On ensemble components selection in data streams scenario with reoccurring concept-drift
, On ensemble components selection in data streams scenario with reoccurring concept-drift, IEEE, 1-7, 2017, Cites: 16
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. (12)
Heuristic regression function estimation methods for data streams with concept drift
, Heuristic regression function estimation methods for data streams with concept drift, Springer, Cham, 726-737, 2017, Cites: 12
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. (10)
The concept on nonlinear modelling of dynamic objects based on state transition algorithm and genetic programming
, The concept on nonlinear modelling of dynamic objects based on state transition algorithm and genetic programming, Springer, Cham, 209-220, 2017, Cites: 10
Michal Wróbel and Janusz T Starczewski and Christian Napoli, Handwriting recognition with extraction of letter fragments. (10)
Handwriting recognition with extraction of letter fragments
, Handwriting recognition with extraction of letter fragments, Springer, Cham, 183-192, 2017, Cites: 10
Tomasz Kapuściński and Robert K Nowicki and Christian Napoli, Comparison of effectiveness of multi-objective genetic algorithms in optimization of invertible s-boxes. (8)
Comparison of effectiveness of multi-objective genetic algorithms in optimization of invertible s-boxes
, Comparison of effectiveness of multi-objective genetic algorithms in optimization of invertible s-boxes, Springer, Cham, 466-476, 2017, Cites: 8
Adam E Gawda and Janusz Kacprzyk and Leszek Rutkowski and Gary G Yen, Advances in Data Analysis with Computational Intelligence Methods: Dedicated to Professor Jacek urada. (7)
Advances in Data Analysis with Computational Intelligence Methods: Dedicated to Professor Jacek urada
, Advances in Data Analysis with Computational Intelligence Methods: Dedicated to Professor Jacek urada, Springer Publishing Company, Incorporated, 2017, Cites: 7
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. (6)
Advances in data analysis with computational intelligence methods: dedicated to Professor Jacek Żurada
, Advances in data analysis with computational intelligence methods: dedicated to Professor Jacek Żurada, Springer, 2017, Cites: 6
Marcin Gabryel and Giacomo Capizzi, The bag-of-words method with dictionary analysis by evolutionary algorithm. (6)
The bag-of-words method with dictionary analysis by evolutionary algorithm
, The bag-of-words method with dictionary analysis by evolutionary algorithm, Springer, Cham, 43-51, 2017, Cites: 6
Piotr Dziwiński and Łukasz Bartczuk and Huang Tingwen, A method for non-linear modelling based on the capabilities of PSO and GA algorithms. (5)
A method for non-linear modelling based on the capabilities of PSO and GA algorithms
, A method for non-linear modelling based on the capabilities of PSO and GA algorithms, Springer, Cham, 221-232, 2017, Cites: 5
Krystian Łapa and Krzysztof Cpałka and Andrzej Przybył and Takamichi Saito, Fuzzy PID controllers with FIR filtering and a method for their construction. (5)
Fuzzy PID controllers with FIR filtering and a method for their construction
, Fuzzy PID controllers with FIR filtering and a method for their construction, Springer, Cham, 292-307, 2017, Cites: 5
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.. (5)
Environment Recognition based on Images using Bag-of-Words.
, Environment Recognition based on Images using Bag-of-Words., 166-176, 2017, Cites: 5
Patryk Najgebauer and Leszek Rutkowski and Rafal Scherer, Interest point localization based on edge detection according to gestalt laws. (4)
Interest point localization based on edge detection according to gestalt laws
, Interest point localization based on edge detection according to gestalt laws, IEEE, 349-353, 2017, Cites: 4
Marcin Zalasiński and Krzysztof Cpałka and Yoichi Hayashi, A method for genetic selection of the most characteristic descriptors of the dynamic signature. (4)
A method for genetic selection of the most characteristic descriptors of the dynamic signature
, A method for genetic selection of the most characteristic descriptors of the dynamic signature, Springer, Cham, 747-760, 2017, Cites: 4
Patryk Najgebauer and Leszek Rutkowski and Rafal Scherer, Novel method for joining missing line fragments for medical image analysis. (4)
Novel method for joining missing line fragments for medical image analysis
, Novel method for joining missing line fragments for medical image analysis, IEEE, 861-866, 2017, Cites: 4
Marcin Gabryel, The bag-of-words methods with pareto-fronts for similar image retrieval. (4)
The bag-of-words methods with pareto-fronts for similar image retrieval
, The bag-of-words methods with pareto-fronts for similar image retrieval, Springer, Cham, 374-384, 2017, Cites: 4
Krystian Łapa and Krzysztof Cpałka and Yoichi Hayashi, Hybrid initialization in the process of evolutionary learning. (4)
Hybrid initialization in the process of evolutionary learning
, Hybrid initialization in the process of evolutionary learning, Springer, Cham, 380-393, 2017, Cites: 4
Krystian Łapa and Krzysztof Cpałka and Lipo Wang, A method for nonlinear fuzzy modelling using population based algorithm with flexibly selectable operators. (3)
A method for nonlinear fuzzy modelling using population based algorithm with flexibly selectable operators
, A method for nonlinear fuzzy modelling using population based algorithm with flexibly selectable operators, Springer, Cham, 263-278, 2017, Cites: 3
Marcin Zalasiński and Krzysztof Cpałka, A method for genetic selection of the dynamic signature global features’ subset. (3)
A method for genetic selection of the dynamic signature global features’ subset
, A method for genetic selection of the dynamic signature global features’ subset, Springer, Cham, 73-82, 2017, Cites: 3
Marcin Zalasiński and Krzysztof Cpałka and Meng Joo Er, Stability evaluation of the dynamic signature partitions over time. (3)
Stability evaluation of the dynamic signature partitions over time
, Stability evaluation of the dynamic signature partitions over time, Springer, Cham, 733-746, 2017, Cites: 3
Marcin Zalasiński and Krystian Łapa and Krzysztof Cpałka and Takamichi Saito, A method for changes prediction of the dynamic signature global features over time. (3)
A method for changes prediction of the dynamic signature global features over time
, A method for changes prediction of the dynamic signature global features over time, Springer, Cham, 761-772, 2017, Cites: 3
Krystian Łapa, Elastic FOPID+ FIR Controller Design Using Hybrid Population-Based Algorithm. (3)
Elastic FOPID+ FIR Controller Design Using Hybrid Population-Based Algorithm
, Elastic FOPID+ FIR Controller Design Using Hybrid Population-Based Algorithm, Springer, Cham, 15-26, 2017, Cites: 3
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. (3)
Detection of saliency map as image feature outliers using random projections based method
, Detection of saliency map as image feature outliers using random projections based method, IEEE, 85-90, 2017, Cites: 3
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. (2)
Environment scene classification based on images using bag-of-words
, Environment scene classification based on images using bag-of-words, Springer, Cham, 281-303, 2017, Cites: 2
Krystian Łapa, Population-based algorithm with selectable evolutionary operators for nonlinear modeling. (2)
Population-based algorithm with selectable evolutionary operators for nonlinear modeling
, Population-based algorithm with selectable evolutionary operators for nonlinear modeling, Springer, Cham, 15-26, 2017, Cites: 2
Andrzej Przybył and Meng Joo Er, A Method for Design of Hardware Emulators for a Distributed Network Environment. (1)
A Method for Design of Hardware Emulators for a Distributed Network Environment
, A Method for Design of Hardware Emulators for a Distributed Network Environment, Springer, Cham, 318-336, 2017, Cites: 1
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. (1)
Parallel realizations of the iterative statistical reconstruction algorithm for 3D computed tomography
, Parallel realizations of the iterative statistical reconstruction algorithm for 3D computed tomography, Springer, Cham, 473-484, 2017, Cites: 1
Rafał Grycuk and Magdalena Scherer and Sviatoslav Voloshynovskiy, Local keypoint-based image detector with object detection. (1)
Local keypoint-based image detector with object detection
, Local keypoint-based image detector with object detection, Springer, Cham, 507-517, 2017, Cites: 1
Krystian Łapa and Krzysztof Cpałka, PID-fuzzy controllers with dynamic structure and evolutionary method for their construction. (1)
PID-fuzzy controllers with dynamic structure and evolutionary method for their construction
, PID-fuzzy controllers with dynamic structure and evolutionary method for their construction, Springer, Cham, 138-148, 2017, Cites: 1
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. (0)
NARX Neural Network for Prediction of Refresh Timeout in PIM–DM Multicast Routing
, NARX Neural Network for Prediction of Refresh Timeout in PIM–DM Multicast Routing, Springer, Cham, 199-205, 2017, Cites: 0
Krystian Łapa, A New Algorithm for Online Management of Fuzzy Rules Base for Nonlinear Modeling. (0)
A New Algorithm for Online Management of Fuzzy Rules Base for Nonlinear Modeling
, A New Algorithm for Online Management of Fuzzy Rules Base for Nonlinear Modeling, Springer, Cham, 15-28, 2017, Cites: 0
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. (0)
Performance Evaluation of DBN Learning on Intel Multi-and Manycore Architectures
, Performance Evaluation of DBN Learning on Intel Multi-and Manycore Architectures, Springer, Cham, 565-575, 2017, Cites: 0
Krystian Łapa and Krzysztof Cpałka, Weighted Fuzzy Genetic Programming Algorithm for Structure and Parameters Selection of Fuzzy Systems for Nonlinear Modelling. (0)
Weighted Fuzzy Genetic Programming Algorithm for Structure and Parameters Selection of Fuzzy Systems for Nonlinear Modelling
, Weighted Fuzzy Genetic Programming Algorithm for Structure and Parameters Selection of Fuzzy Systems for Nonlinear Modelling, Springer, Cham, 157-174, 2017, Cites: 02016 (54)
Marcin Korytkowski and Leszek Rutkowski and Rafał Scherer, Fast image classification by boosting fuzzy classifiers. (148)
Fast image classification by boosting fuzzy classifiers
, Fast image classification by boosting fuzzy classifiers, Elsevier, Information Sciences, 175-182, 2016, Cites: 148
Krzysztof Cpałka and Marcin Zalasiński and Leszek Rutkowski, A new algorithm for identity verification based on the analysis of a handwritten dynamic signature. (97)
A new algorithm for identity verification based on the analysis of a handwritten dynamic signature
, A new algorithm for identity verification based on the analysis of a handwritten dynamic signature, Elsevier, Applied soft computing, 47-56, 2016, Cites: 97
Łukasz Bartczuk and Andrzej Przybył and Krzysztof Cpałka, A new approach to nonlinear modelling of dynamic systems based on fuzzy rules. (39)
A new approach to nonlinear modelling of dynamic systems based on fuzzy rules
, A new approach to nonlinear modelling of dynamic systems based on fuzzy rules, International Journal of Applied Mathematics and Computer Science, 2016, Cites: 39
Marcin Woźniak and Zbigniew Marszałek and Marcin Gabryel and Robert K Nowicki, Preprocessing large data sets by the use of quick sort algorithm. (28)
Preprocessing large data sets by the use of quick sort algorithm
, Preprocessing large data sets by the use of quick sort algorithm, Springer, Cham, 111-121, 2016, Cites: 28
Marcin Zalasiński and Krzysztof Cpałka and Elisabeth Rakus-Andersson, An idea of the dynamic signature verification based on a hybrid approach. (28)
An idea of the dynamic signature verification based on a hybrid approach
, An idea of the dynamic signature verification based on a hybrid approach, Springer, Cham, 232-246, 2016, Cites: 28
Lena Pietruczuk and Leszek Rutkowski and Maciej Jaworski and Piotr Duda, A method for automatic adjustment of ensemble size in stream data mining. (26)
A method for automatic adjustment of ensemble size in stream data mining
, A method for automatic adjustment of ensemble size in stream data mining, IEEE, 9-15, 2016, Cites: 26
Marcin Zalasiński and Krzysztof Cpałka, New algorithm for on-line signature verification using characteristic hybrid partitions. (24)
New algorithm for on-line signature verification using characteristic hybrid partitions
, New algorithm for on-line signature verification using characteristic hybrid partitions, Springer, Cham, 147-157, 2016, Cites: 24
Łukasz Bartczuk, Gene expression programming in correction modelling of nonlinear dynamic objects. (19)
Gene expression programming in correction modelling of nonlinear dynamic objects
, Gene expression programming in correction modelling of nonlinear dynamic objects, Springer, Cham, 125-134, 2016, Cites: 19
Marcin Zalasiński and Krzysztof Cpałka and Yoichi Hayashi, A new approach to the dynamic signature verification aimed at minimizing the number of global features. (19)
A new approach to the dynamic signature verification aimed at minimizing the number of global features
, A new approach to the dynamic signature verification aimed at minimizing the number of global features, Springer, Cham, 218-231, 2016, Cites: 19
Marcin Zalasiński, New algorithm for on-line signature verification using characteristic global features. (18)
New algorithm for on-line signature verification using characteristic global features
, New algorithm for on-line signature verification using characteristic global features, Springer, Cham, 137-146, 2016, Cites: 18
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. (18)
An application of firefly algorithm to position traffic in NoSQL database systems
, An application of firefly algorithm to position traffic in NoSQL database systems, Springer, Cham, 259-272, 2016, Cites: 18
Marcin Gabryel, The bag-of-features algorithm for practical applications using the MySQL database. (18)
The bag-of-features algorithm for practical applications using the MySQL database
, The bag-of-features algorithm for practical applications using the MySQL database, Springer, Cham, 635-646, 2016, Cites: 18
Rafał Grycuk and Marcin Gabryel and Robert Nowicki and Rafał Scherer, Content-based image retrieval optimization by differential evolution. (18)
Content-based image retrieval optimization by differential evolution
, Content-based image retrieval optimization by differential evolution, IEEE, 86-93, 2016, Cites: 18
Marcin Gabryel, A bag-of-features algorithm for applications using a NoSQL database. (16)
A bag-of-features algorithm for applications using a NoSQL database
, A bag-of-features algorithm for applications using a NoSQL database, Springer, Cham, 332-343, 2016, Cites: 16
Krystian Łapa and Krzysztof Cpałka, On the application of a hybrid genetic-firework algorithm for controllers structure and parameters selection. (16)
On the application of a hybrid genetic-firework algorithm for controllers structure and parameters selection
, On the application of a hybrid genetic-firework algorithm for controllers structure and parameters selection, Springer, Cham, 111-123, 2016, Cites: 16
Andrzej Przybył and Meng Joo Er, The method of hardware implementation of fuzzy systems on FPGA. (15)
The method of hardware implementation of fuzzy systems on FPGA
, The method of hardware implementation of fuzzy systems on FPGA, Springer, Cham, 284-298, 2016, Cites: 15
Tomasz Kapuściński and Robert K Nowicki and Christian Napoli, Application of genetic algorithms in the construction of invertible substitution boxes. (13)
Application of genetic algorithms in the construction of invertible substitution boxes
, Application of genetic algorithms in the construction of invertible substitution boxes, Springer, Cham, 380-391, 2016, Cites: 13
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. (13)
A new method of the intelligent modeling of the nonlinear dynamic objects with fuzzy detection of the operating points
, 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: 13
Robert K Nowicki and Bartosz A Nowak and Marcin Woźniak, Application of rough sets in k nearest neighbours algorithm for classification of incomplete samples. (13)
Application of rough sets in k nearest neighbours algorithm for classification of incomplete samples
, Application of rough sets in k nearest neighbours algorithm for classification of incomplete samples, Springer, Cham, 243-257, 2016, Cites: 13
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. (12)
A new method for generating of fuzzy rules for the nonlinear modelling based on semantic genetic programming
, A new method for generating of fuzzy rules for the nonlinear modelling based on semantic genetic programming, Springer, Cham, 262-278, 2016, Cites: 12
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. (11)
Self organizing maps for 3D face understanding
, Self organizing maps for 3D face understanding, Springer, Cham, 210-217, 2016, Cites: 11
Robert K Nowicki and Rafal Scherer and Leszek Rutkowski, Novel rough neural network for classification with missing data. (10)
Novel rough neural network for classification with missing data
, Novel rough neural network for classification with missing data, IEEE, 820-825, 2016, Cites: 10
Rafał Grycuk and Marcin Gabryel and Magdalena Scherer and Sviatoslav Voloshynovskiy, Image descriptor based on edge detection and crawler algorithm. (10)
Image descriptor based on edge detection and crawler algorithm
, Image descriptor based on edge detection and crawler algorithm, Springer, Cham, 647-659, 2016, Cites: 10
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. (9)
Transient Solution for Queueing Delay Distribution in the GI/M/1/K-type Mode with “Queued” Waking up and Balking
, 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
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. (8)
Estimating CPU features by browser fingerprinting
, Estimating CPU features by browser fingerprinting, IEEE, 587-592, 2016, Cites: 8
Krystian Łapa and Krzysztof Cpałka and Petia Koprinkova-Hristova, New method for fuzzy nonlinear modelling based on genetic programming. (7)
New method for fuzzy nonlinear modelling based on genetic programming
, New method for fuzzy nonlinear modelling based on genetic programming, Springer, Cham, 432-449, 2016, Cites: 7
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. (7)
Comparison of algebraic and analytical approaches to the formulation of the statistical model-based reconstruction problem for X-ray computed tomography
, 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: 7
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. (6)
A new approach for using the fuzzy decision trees for the detection of the significant operating points in the nonlinear modeling
, 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
Łukasz Bartczuk and Alexander I Galushkin, A new method for generating nonlinear correction models of dynamic objects based on semantic genetic programming. (6)
A new method for generating nonlinear correction models of dynamic objects based on semantic genetic programming
, A new method for generating nonlinear correction models of dynamic objects based on semantic genetic programming, Springer, Cham, 249-261, 2016, Cites: 6
Krystian Łapa and Jacek Szczypta and Takamichi Saito, Aspects of evolutionary construction of new flexible PID-fuzzy controller. (6)
Aspects of evolutionary construction of new flexible PID-fuzzy controller
, Aspects of evolutionary construction of new flexible PID-fuzzy controller, Springer, Cham, 450-464, 2016, Cites: 6
Rafał Grycuk, Novel visual object descriptor using surf and clustering algorithms. (6)
Novel visual object descriptor using surf and clustering algorithms
, Novel visual object descriptor using surf and clustering algorithms, Journal of Applied Mathematics and Computational Mechanics, 3, 2016, Cites: 6
Andrzej Przybył and Meng Joo Er, A new approach to designing of intelligent emulators working in a distributed environment. (6)
A new approach to designing of intelligent emulators working in a distributed environment
, A new approach to designing of intelligent emulators working in a distributed environment, Springer, Cham, 546-558, 2016, Cites: 6
Wojciech K Mleczko and Robert K Nowicki and Rafał Angryk, Rough restricted boltzmann machine–new architecture for incomplete input data. (5)
Rough restricted boltzmann machine–new architecture for incomplete input data
, Rough restricted boltzmann machine–new architecture for incomplete input data, Springer, Cham, 114-125, 2016, Cites: 5
Andrzej Przybył and Jacek Szczypta, Method of evolutionary designing of FPGA-based controllers. (5)
Method of evolutionary designing of FPGA-based controllers
, Method of evolutionary designing of FPGA-based controllers, Przegląd Elektrotechniczny, 174-179, 2016, Cites: 5
Maciej Jaworski and Leszek Rutkowski and Miroslaw Pawlak, Hybrid splitting criterion in decision trees for data stream mining. (5)
Hybrid splitting criterion in decision trees for data stream mining
, Hybrid splitting criterion in decision trees for data stream mining, Springer, Cham, 60-72, 2016, Cites: 5
Paweł Staszewski and Piotr Woldan and Marcin Korytkowski and Rafał Scherer and Lipo Wang, Query-by-example image retrieval in microsoft SQL server. (4)
Query-by-example image retrieval in microsoft SQL server
, Query-by-example image retrieval in microsoft SQL server, Springer, Cham, 746-754, 2016, Cites: 4
Krystian Łapa and Krzysztof Cpałka and Lipo Wang, New approach for interpretability of neuro-fuzzy systems with parametrized triangular norms. (4)
New approach for interpretability of neuro-fuzzy systems with parametrized triangular norms
, New approach for interpretability of neuro-fuzzy systems with parametrized triangular norms, Springer, Cham, 248-265, 2016, Cites: 4
Robert Cierniak, Fast iterative image reconstruction method for 3D computed tomography. (3)
Fast iterative image reconstruction method for 3D computed tomography
, Fast iterative image reconstruction method for 3D computed tomography, 2016, Cites: 3
Krystian Łapa and Krzysztof Cpałka, Nonlinear pattern classification using fuzzy system and hybrid genetic-imperialist algorithm. (3)
Nonlinear pattern classification using fuzzy system and hybrid genetic-imperialist algorithm
, Nonlinear pattern classification using fuzzy system and hybrid genetic-imperialist algorithm, Springer, Cham, 159-171, 2016, Cites: 3
Andrzej Przybył and Krystian Łapa and Jacek Szczypta and Lipo Wang, The method of the evolutionary designing the elastic controller structure. (3)
The method of the evolutionary designing the elastic controller structure
, The method of the evolutionary designing the elastic controller structure, Springer, Cham, 476-492, 2016, Cites: 3
Marcin Korytkowski, A novel convolutional neural network with Glial cells. (3)
A novel convolutional neural network with Glial cells
, A novel convolutional neural network with Glial cells, Springer, Cham, 670-679, 2016, Cites: 3
Adam Krzyzak Piotr Duda and Lena Pietruczuk and Maciej Jaworski, On the Cesàro-Means-Based Orthogonal Series Approach to Learning Time-Varying Regression Functions. (2)
On the Cesàro-Means-Based Orthogonal Series Approach to Learning Time-Varying Regression Functions
, On the Cesàro-Means-Based Orthogonal Series Approach to Learning Time-Varying Regression Functions, Springer, Cham, 37-48, 2016, Cites: 2
Rafał Grycuk and Michał Knop, Neural video compression based on SURF scene change detection algorithm. (2)
Neural video compression based on SURF scene change detection algorithm
, Neural video compression based on SURF scene change detection algorithm, Springer, Cham, 105-112, 2016, Cites: 2
Marcin Korytkowski and Pawel Staszewski and Piotr Woldan and Rafal Scherer, Fast computing framework for convolutional neural networks. (2)
Fast computing framework for convolutional neural networks
, Fast computing framework for convolutional neural networks, IEEE, 118-123, 2016, Cites: 2
Jacek Szczypta and Krystian Łapa, Aspects of structure selection and parameters tuning of control systems using hybrid genetic-fruit fly algorithm. (2)
Aspects of structure selection and parameters tuning of control systems using hybrid genetic-fruit fly algorithm
, Aspects of structure selection and parameters tuning of control systems using hybrid genetic-fruit fly algorithm, Springer, Cham, 101-110, 2016, Cites: 2
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. (2)
Artificial Intelligence and Soft Computing: 15th International Conference, ICAISC 2016, Zakopane, Poland, June 12-16, 2016, Proceedings, Part II
, Artificial Intelligence and Soft Computing: 15th International Conference, ICAISC 2016, Zakopane, Poland, June 12-16, 2016, Proceedings, Part II, Springer, 2016, Cites: 2
Krystian Łapa and Krzysztof Cpałka and Yoichi Hayashi, New approach for nonlinear modelling based on online designing of the fuzzy rule base. (2)
New approach for nonlinear modelling based on online designing of the fuzzy rule base
, New approach for nonlinear modelling based on online designing of the fuzzy rule base, Springer, Cham, 230-247, 2016, Cites: 2
Patryk Najgebauer and Marcin Korytkowski and Carlos D Barranco and Rafal Scherer, Novel image descriptor based on color spatial distribution. (1)
Novel image descriptor based on color spatial distribution
, Novel image descriptor based on color spatial distribution, Springer, Cham, 712-722, 2016, Cites: 1
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. (1)
On the Application of Orthogonal Series Density Estimation for Image Classification Based on Feature Description
, On the Application of Orthogonal Series Density Estimation for Image Classification Based on Feature Description, Springer, Cham, 529-540, 2016, Cites: 1
Michał Łagiewka and Rafał Scherer and Rafal Angryk, Color-based large-scale image retrieval with limited hardware resources. (1)
Color-based large-scale image retrieval with limited hardware resources
, Color-based large-scale image retrieval with limited hardware resources, Springer, Cham, 689-699, 2016, Cites: 1
Robert Cierniak and Anna Lorent and Piotr Pluta and Nimit Shah, Regularization Methods for the Analytical Statistical Reconstruction Problem in Medical Computed Tomography. (1)
Regularization Methods for the Analytical Statistical Reconstruction Problem in Medical Computed Tomography
, Regularization Methods for the Analytical Statistical Reconstruction Problem in Medical Computed Tomography, Springer, Cham, 147-158, 2016, Cites: 1
Marcin Wo'zniak and Zbigniew Marszalek and Marcin Gabryel and Robert K Nowicki, Preprocessing Large Data Sets by the Use of Quick Sort Algorithm. (0)
Preprocessing Large Data Sets by the Use of Quick Sort Algorithm
, Preprocessing Large Data Sets by the Use of Quick Sort Algorithm, 111-121, 2016, Cites: 0
Patryk Najgebauer and Rafał Scherer, Fast Image Search by Trees of Keypoint Descriptors. (0)
Fast Image Search by Trees of Keypoint Descriptors
, Fast Image Search by Trees of Keypoint Descriptors, Springer, Cham, 541-552, 2016, Cites: 0
Robert Cierniak, Analytical Statistical Approach for Fan-Beam Scanners. (0)
Analytical Statistical Approach for Fan-Beam Scanners
, Analytical Statistical Approach for Fan-Beam Scanners, Springer, Cham, 231-243, 2016, Cites: 02015 (34)
Krzysztof Cpalka and Krystian Łapa and Andrzej Przybył, A new approach to design of control systems using genetic programming. (44)
A new approach to design of control systems using genetic programming
, A new approach to design of control systems using genetic programming, Information technology and control, 4, 433-442, 2015, Cites: 44
Bartosz A Nowak and Robert K Nowicki and Marcin Woźniak and Christian Napoli, Multi-class nearest neighbour classifier for incomplete data handling. (38)
Multi-class nearest neighbour classifier for incomplete data handling
, Multi-class nearest neighbour classifier for incomplete data handling, Springer, Cham, 469-480, 2015, Cites: 38
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. (33)
Toward work groups classification based on probabilistic neural network approach
, Toward work groups classification based on probabilistic neural network approach, Springer, Cham, 79-89, 2015, Cites: 33
Marcin Zalasiński and Krzysztof Cpałka and Yoichi Hayashi, New fast algorithm for the dynamic signature verification using global features values. (33)
New fast algorithm for the dynamic signature verification using global features values
, New fast algorithm for the dynamic signature verification using global features values, Springer, Cham, 175-188, 2015, Cites: 33
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?. (32)
Can we process 2d images using artificial bee colony?
, Can we process 2d images using artificial bee colony?, Springer, Cham, 660-671, 2015, Cites: 32
Marcin Wózniak and Dawid Połap and Robert K Nowicki and Christian Napoli and Giuseppe Pappalardo and Emiliano Tramontana, Novel approach toward medical signals classifier. (30)
Novel approach toward medical signals classifier
, Novel approach toward medical signals classifier, IEEE, 1-7, 2015, Cites: 30
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. (29)
A multiscale image compressor with rbfnn and discrete wavelet decomposition
, A multiscale image compressor with rbfnn and discrete wavelet decomposition, IEEE, 1-7, 2015, Cites: 29
Marcin Gabryel and Marcin Woźniak and Robertas Damaševičius, An application of differential evolution to positioning queueing systems. (24)
An application of differential evolution to positioning queueing systems
, An application of differential evolution to positioning queueing systems, Springer, Cham, 379-390, 2015, Cites: 24
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. (23)
Multi-layer architecture for storing visual data based on WCF and microsoft SQL server database
, Multi-layer architecture for storing visual data based on WCF and microsoft SQL server database, Springer, Cham, 715-726, 2015, Cites: 23
Krystian Łapa and Jacek Szczypta and Rajasekar Venkatesan, Aspects of structure and parameters selection of control systems using selected multi-population algorithms. (22)
Aspects of structure and parameters selection of control systems using selected multi-population algorithms
, Aspects of structure and parameters selection of control systems using selected multi-population algorithms, Springer, Cham, 247-260, 2015, Cites: 22
Wojciech K Mleczko and Tomasz Kapuściński and Robert K Nowicki, Rough deep belief network-application to incomplete handwritten digits pattern classification. (19)
Rough deep belief network-application to incomplete handwritten digits pattern classification
, Rough deep belief network-application to incomplete handwritten digits pattern classification, Springer, Cham, 400-411, 2015, Cites: 19
Piotr Dziwiński and Eduard D Avedyan, A new approach to nonlinear modeling based on significant operating points detection. (18)
A new approach to nonlinear modeling based on significant operating points detection
, A new approach to nonlinear modeling based on significant operating points detection, Springer, Cham, 364-378, 2015, Cites: 18
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. (17)
A new method for the dynamic signature verification based on the stable partitions of the signature
, A new method for the dynamic signature verification based on the stable partitions of the signature, Springer, Cham, 161-174, 2015, Cites: 17
Marcin Gabryel and Rafał Grycuk and Marcin Korytkowski and Taras Holotyak, Image indexing and retrieval using GSOM algorithm. (17)
Image indexing and retrieval using GSOM algorithm
, Image indexing and retrieval using GSOM algorithm, Springer, Cham, 706-714, 2015, Cites: 17
Rafał Grycuk and Michał Knop and Sayantan Mandal, Video key frame detection based on SURF algorithm. (13)
Video key frame detection based on SURF algorithm
, Video key frame detection based on SURF algorithm, Springer, Cham, 566-576, 2015, Cites: 13
Rafał Grycuk and Rafał Scherer and Marcin Gabryel, New image descriptor from edge detector and blob extractor. (12)
New image descriptor from edge detector and blob extractor
, New image descriptor from edge detector and blob extractor, Journal of Applied Mathematics and Computational Mechanics, 4, 31--39, 2015, Cites: 12
Marcin Korytkowski and Rafał Scherer and Paweł Staszewski and Piotr Woldan, Bag-of-features image indexing and classification in Microsoft SQL server relational database. (12)
Bag-of-features image indexing and classification in Microsoft SQL server relational database
, Bag-of-features image indexing and classification in Microsoft SQL server relational database, IEEE, 478-482, 2015, Cites: 12
Krystian Łapa and Krzysztof Cpałka and Alexander I Galushkin, A new interpretability criteria for neuro-fuzzy systems for nonlinear classification. (11)
A new interpretability criteria for neuro-fuzzy systems for nonlinear classification
, A new interpretability criteria for neuro-fuzzy systems for nonlinear classification, Springer, Cham, 448-468, 2015, Cites: 11
Łukasz Bartczuk and Andrzej Przybył and Petia Koprinkova-Hristova, New method for non-linear correction modelling of dynamic objects with genetic programming. (9)
New method for non-linear correction modelling of dynamic objects with genetic programming
, New method for non-linear correction modelling of dynamic objects with genetic programming, Springer, Cham, 318-329, 2015, Cites: 9
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. (7)
On the application of fourier series density estimation for image classification based on feature description
, 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
Tomasz Olas and Wojciech K Mleczko and Robert K Nowicki and Roman Wyrzykowski and Adam Krzyzak, Adaptation of RBM learning for intel MIC architecture. (6)
Adaptation of RBM learning for intel MIC architecture
, Adaptation of RBM learning for intel MIC architecture, Springer, Cham, 90-101, 2015, Cites: 6
Tomasz Olas and Wojciech K Mleczko and Robert K Nowicki and Roman Wyrzykowski, Adaptation of deep belief networks to modern multicore architectures. (6)
Adaptation of deep belief networks to modern multicore architectures
, Adaptation of deep belief networks to modern multicore architectures, Springer, Cham, 459-472, 2015, Cites: 6
Sebastian Pabiasz and Janusz T Starczewski and Antonino Marvuglia, SOM vs FCM vs PCA in 3d face recognition. (6)
SOM vs FCM vs PCA in 3d face recognition
, SOM vs FCM vs PCA in 3d face recognition, Springer, Cham, 120-129, 2015, Cites: 6
Sohrab Ferdowsi and Sviatoslav Voloshynovskiy and Dimche Kostadinov and Marcin Korytkowski and Rafał Scherer, Secure representation of images using multi-layer compression. (5)
Secure representation of images using multi-layer compression
, Secure representation of images using multi-layer compression, Springer, Cham, 696-705, 2015, Cites: 5
Andrzej Przybył and Jacek Szczypta and Lipo Wang, Optimization of controller structure using evolutionary algorithm. (5)
Optimization of controller structure using evolutionary algorithm
, Optimization of controller structure using evolutionary algorithm, Springer, Cham, 261-271, 2015, Cites: 5
Michał Knas and Robert Cierniak, Computed tomography images denoising with Markov Random Field model parametrized by Prewitt mask. (4)
Computed tomography images denoising with Markov Random Field model parametrized by Prewitt mask
, Computed tomography images denoising with Markov Random Field model parametrized by Prewitt mask, Springer, Cham, 53-58, 2015, Cites: 4
Robert K Nowicki and Marcin Korytkowski and Bartosz A Nowak and Rafal Scherer, Design methodology for rough neuro-fuzzy classification with missing data. (4)
Design methodology for rough neuro-fuzzy classification with missing data
, Design methodology for rough neuro-fuzzy classification with missing data, IEEE, 1650-1657, 2015, Cites: 4
Jakub Romanowski and Marcin Korytkowski and Rafal Scherer, Efficient bone detector and geometric descriptor for x-ray imaging. (1)
Efficient bone detector and geometric descriptor for x-ray imaging
, Efficient bone detector and geometric descriptor for x-ray imaging, IEEE, 1337-1342, 2015, Cites: 1
Dimche Kostadinov and Sviatoslav Voloshynovskiy and Sohrab Ferdowsi and Maurits Diephuis and Rafał Scherer, Supervised Transform Learning for Face Recognition. (1)
Supervised Transform Learning for Face Recognition
, Supervised Transform Learning for Face Recognition, Springer, Cham, 737-746, 2015, Cites: 1
Patryk Najgebauer and Marcin Gabryel and Marcin Korytkowski and Rafa l Scherer, Tree representation of image key point descriptors. (1)
Tree representation of image key point descriptors
, 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
Marcin Korytkowski and Magdalena Scherer and Sohrab Ferdowsi, Software Framework for Modular Machine Learning Systems. (0)
Software Framework for Modular Machine Learning Systems
, Software Framework for Modular Machine Learning Systems, Springer, Cham, 760-767, 2015, Cites: 0
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. (0)
Fast dictionary matching for content-based image retrieval
, Fast dictionary matching for content-based image retrieval, Springer, Cham, 747-756, 2015, Cites: 0
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. (0)
Customization of Joint Articulations Using Soft Computing Methods
, Customization of Joint Articulations Using Soft Computing Methods, Springer, Cham, 151-160, 2015, Cites: 0
Michal Knas and Robert Cierniak and Olga Rebrova, An Edge Detection Using 2D Gaussian Function in Computed Tomography. (0)
An Edge Detection Using 2D Gaussian Function in Computed Tomography
, An Edge Detection Using 2D Gaussian Function in Computed Tomography, Springer, Cham, 586-593, 2015, Cites: 02014 (43)
Leszek Rutkowski and Maciej Jaworski and Lena Pietruczuk and Piotr Duda, The CART decision tree for mining data streams. (300)
The CART decision tree for mining data streams
, The CART decision tree for mining data streams, Elsevier, Information Sciences, 1-15, 2014, Cites: 300
Leszek Rutkowski and Maciej Jaworski and Lena Pietruczuk and Piotr Duda, A new method for data stream mining based on the misclassification error. (118)
A new method for data stream mining based on the misclassification error
, 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: 118
Krzysztof Cpałka and Marcin Zalasiński and Leszek Rutkowski, New method for the on-line signature verification based on horizontal partitioning. (97)
New method for the on-line signature verification based on horizontal partitioning
, New method for the on-line signature verification based on horizontal partitioning, Pergamon, Pattern Recognition, 8, 2652-2661, 2014, Cites: 97
Krzysztof Cpałka and Marcin Zalasiński, On-line signature verification using vertical signature partitioning. (92)
On-line signature verification using vertical signature partitioning
, On-line signature verification using vertical signature partitioning, Pergamon, Expert Systems with Applications, 2014, Cites: 92
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. (76)
A new method for designing neuro-fuzzy systems for nonlinear modelling with interpretability aspects
, A new method for designing neuro-fuzzy systems for nonlinear modelling with interpretability aspects, Elsevier, Neurocomputing, 203-217, 2014, Cites: 76
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. (49)
A finite-buffer queue with a single vacation policy: An analytical study with evolutionary positioning
, 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: 49
Krystian Łapa and Krzysztof Cpałka and Lipo Wang, New method for design of fuzzy systems for nonlinear modelling using different criteria of interpretability. (41)
New method for design of fuzzy systems for nonlinear modelling using different criteria of interpretability
, New method for design of fuzzy systems for nonlinear modelling using different criteria of interpretability, Springer, Cham, 217-232, 2014, Cites: 41
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. (39)
From single image to list of objects based on edge and blob detection
, From single image to list of objects based on edge and blob detection, Springer, Cham, 605-615, 2014, Cites: 39
Marcin Zalasiński and Krzysztof Cpałka and Meng Joo Er, New method for dynamic signature verification using hybrid partitioning. (39)
New method for dynamic signature verification using hybrid partitioning
, New method for dynamic signature verification using hybrid partitioning, Springer, Cham, 216-230, 2014, Cites: 39
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. (38)
On applying evolutionary computation methods to optimization of vacation cycle costs in finite-buffer queue
, On applying evolutionary computation methods to optimization of vacation cycle costs in finite-buffer queue, Springer, Cham, 480-491, 2014, Cites: 38
Janusz T Starczewski, Centroid of triangular and Gaussian type-2 fuzzy sets. (37)
Centroid of triangular and Gaussian type-2 fuzzy sets
, Centroid of triangular and Gaussian type-2 fuzzy sets, Elsevier, Information Sciences, 289-306, 2014, Cites: 37
Marcin Zalasiński and Krzysztof Cpałka and Yoichi Hayashi, New method for dynamic signature verification based on global features. (36)
New method for dynamic signature verification based on global features
, New method for dynamic signature verification based on global features, Springer, Cham, 231-245, 2014, Cites: 36
Piotr Dziwiński and Łukasz Bartczuk and Andrzej Przybył and Eduard D Avedyan, A new algorithm for identification of significant operating points using swarm intelligence. (32)
A new algorithm for identification of significant operating points using swarm intelligence
, A new algorithm for identification of significant operating points using swarm intelligence, Springer, Cham, 349-362, 2014, Cites: 32
Rafał Grycuk and Marcin Gabryel and Marcin Korytkowski and Rafał Scherer, Content-based image indexing by data clustering and inverse document frequency. (31)
Content-based image indexing by data clustering and inverse document frequency
, Content-based image indexing by data clustering and inverse document frequency, Springer, Cham, 374-383, 2014, Cites: 31
Łukasz Bartczuk and Andrzej Przybył and Petia Koprinkova-Hristova, New method for nonlinear fuzzy correction modelling of dynamic objects. (26)
New method for nonlinear fuzzy correction modelling of dynamic objects
, New method for nonlinear fuzzy correction modelling of dynamic objects, Springer, Cham, 169-180, 2014, Cites: 26
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. (18)
A novel application of hoeffding's inequality to decision trees construction for data streams
, A novel application of hoeffding's inequality to decision trees construction for data streams, IEEE, 3324-3330, 2014, Cites: 18
Jacek Szczypta and Krystian Łapa and Zhifei Shao, Aspects of the selection of the structure and parameters of controllers using selected population based algorithms. (18)
Aspects of the selection of the structure and parameters of controllers using selected population based algorithms
, Aspects of the selection of the structure and parameters of controllers using selected population based algorithms, Springer, Cham, 440-454, 2014, Cites: 18
Robert Cierniak, An analytical iterative statistical algorithm for image reconstruction from projections. (16)
An analytical iterative statistical algorithm for image reconstruction from projections
, An analytical iterative statistical algorithm for image reconstruction from projections, International Journal of Applied Mathematics and Computer Science, 1, 2014, Cites: 16
Jacek Szczypta and Andrzej Przybył and Lipo Wang, Evolutionary approach with multiple quality criteria for controller design. (12)
Evolutionary approach with multiple quality criteria for controller design
, Evolutionary approach with multiple quality criteria for controller design, Springer, Cham, 455-467, 2014, Cites: 12
Lena Pietruczuk and Leszek Rutkowski and Maciej Jaworski and Piotr Duda, The Parzen kernel approach to learning in non-stationary environment. (12)
The Parzen kernel approach to learning in non-stationary environment
, The Parzen kernel approach to learning in non-stationary environment, IEEE, 3319-3323, 2014, Cites: 12
Andrzej Przybył and Meng Joo Er, The idea for the integration of neuro-fuzzy hardware emulators with real-time network. (12)
The idea for the integration of neuro-fuzzy hardware emulators with real-time network
, The idea for the integration of neuro-fuzzy hardware emulators with real-time network, Springer, Cham, 279-294, 2014, Cites: 12
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. (10)
The learning of neuro-fuzzy approximator with fuzzy rough sets in case of missing features
, The learning of neuro-fuzzy approximator with fuzzy rough sets in case of missing features, IEEE, 3759-3766, 2014, Cites: 10
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. (10)
The learning of neuro-fuzzy classifier with fuzzy rough sets for imprecise datasets
, The learning of neuro-fuzzy classifier with fuzzy rough sets for imprecise datasets, Springer, Cham, 256-266, 2014, Cites: 10
Robert Nowicki and Bartosz A Nowak and Marcin Woźniak, Rough k nearest neighbours for classification in the case of missing input data. (9)
Rough k nearest neighbours for classification in the case of missing input data
, Rough k nearest neighbours for classification in the case of missing input data, 196–207, 2014, Cites: 9
Janusz T Starczewski and Robert K Nowicki and Bartosz A Nowak, Genetic fuzzy classifier with fuzzy rough sets for imprecise data. (9)
Genetic fuzzy classifier with fuzzy rough sets for imprecise data
, Genetic fuzzy classifier with fuzzy rough sets for imprecise data, IEEE, 1382-1389, 2014, Cites: 9
Michal Knop and Robert Cierniak and Nimit Shah, Video compression algorithm based on neural network structures. (9)
Video compression algorithm based on neural network structures
, Video compression algorithm based on neural network structures, Springer, Cham, 715-724, 2014, Cites: 9
Sebastian Pabiasz and Janusz T Starczewski and Antonino Marvuglia, A new three-dimensional facial landmarks in recognition. (7)
A new three-dimensional facial landmarks in recognition
, A new three-dimensional facial landmarks in recognition, Springer, Cham, 179-186, 2014, Cites: 7
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. (6)
Spatial keypoint representation for visual object retrieval
, Spatial keypoint representation for visual object retrieval, Springer, Cham, 639-650, 2014, Cites: 6
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. (6)
Content-based image retrieval by dictionary of local feature descriptors
, Content-based image retrieval by dictionary of local feature descriptors, IEEE, 512-517, 2014, Cites: 6
Dimitar 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, Architectures, Systems, Applications. (5)
Intelligent Systems' 2014: Proceedings of the 7th IEEE International Conference Intelligent Systems IS’2014, September 24‐26, 2014, Warsaw, Poland, Volume 2: Tools, Architectures, Systems, Applications
, Intelligent Systems' 2014: Proceedings of the 7th IEEE International Conference Intelligent Systems IS’2014, September 24‐26, 2014, Warsaw, Poland, Volume 2: Tools, Architectures, Systems, Applications, Springer, 2014, Cites: 5
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. (4)
A novel approach to position traffic in nosql database systems by the use of firefly algorithm
, 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
Sohrab Ferdowsi and Sviatoslav Voloshynovskiy and Marcin Gabryel and Marcin Korytkowski, Multi-class Classification: A Coding Based Space Partitioning. (3)
Multi-class Classification: A Coding Based Space Partitioning
, Multi-class Classification: A Coding Based Space Partitioning, Springer, Cham, 593-604, 2014, Cites: 3
Anna Lorent and Robert Cierniak, Regularized image reconstruction from projections method. (3)
Regularized image reconstruction from projections method
, Regularized image reconstruction from projections method, IEEE, 82-86, 2014, Cites: 3
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 …. (2)
Intelligent Systems' 2014: Proceedings of the 7th IEEE International Conference Intelligent Systems IS’2014, September 24‐26, 2014, Warsaw, Poland, Volume 2: Tools …
, 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
Janusz Rygał and Jakub Romanowski and Rafał Scherer and Sohrab Ferdowsi, Novel algorithm for translation from image content to semantic form. (2)
Novel algorithm for translation from image content to semantic form
, Novel algorithm for translation from image content to semantic form, Springer, Cham, 783-792, 2014, Cites: 2
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. (2)
Robust face recognition by group sparse representation that uses samples from list of subjects
, Robust face recognition by group sparse representation that uses samples from list of subjects, Springer, Cham, 616-626, 2014, Cites: 2
Robert Cierniak and Michal Knas, Ultrafast iterative model-based statistical 3D reconstruction algorithm for x-ray computed tomography. (2)
Ultrafast iterative model-based statistical 3D reconstruction algorithm for x-ray computed tomography
, Ultrafast iterative model-based statistical 3D reconstruction algorithm for x-ray computed tomography, Springer, Cham, 187-196, 2014, Cites: 2
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. (2)
Artificial Intelligence and Soft Computing: 13th International Conference, ICAISC 2014, Zakopane, Poland, June 1-5, 2014, Proceedings, Part II
, Artificial Intelligence and Soft Computing: 13th International Conference, ICAISC 2014, Zakopane, Poland, June 1-5, 2014, Proceedings, Part II, Springer, 2014, Cites: 2
Anna Lorent and Robert Cierniak and Piotr Dobosz and Olga Rebrova, A New Image Reconstruction from Projections Algorithm. (1)
A New Image Reconstruction from Projections Algorithm
, A New Image Reconstruction from Projections Algorithm, Springer, Cham, 725-732, 2014, Cites: 1
Marcin Korytkowski and Rafa? Scherer and Ryszard Tadeusiewicz and Lotfi Asker Zadeh, Artificial Intelligence and Soft Computing: 13th International Conference, ICAISC 2014, Zakopane, Poland, June 1-5, 2014: Proceedings. (1)
Artificial Intelligence and Soft Computing: 13th International Conference, ICAISC 2014, Zakopane, Poland, June 1-5, 2014: Proceedings
, Artificial Intelligence and Soft Computing: 13th International Conference, ICAISC 2014, Zakopane, Poland, June 1-5, 2014: Proceedings, Springer, 2014, Cites: 1
Piotr Dobosz and Robert Cierniak, Using of EM Algorithm to Image Reconstruction Problem with Tomography Noises. (1)
Using of EM Algorithm to Image Reconstruction Problem with Tomography Noises
, Using of EM Algorithm to Image Reconstruction Problem with Tomography Noises, Springer, Heidelberg, 37-43, 2014, Cites: 1
I Petrounias and V Kodogiannis and J Lygouras and D Filev and J Jabłkowski and J Kacprzyk and M Krawczak and I Popchev and L Rutkowski and V Sgurev and E Sotirova and P Szynkarczyk and S Zadrozny, An Intelligent Based Decision Support System for the Detection of Meat Spoilage. (0)
An Intelligent Based Decision Support System for the Detection of Meat Spoilage
, An Intelligent Based Decision Support System for the Detection of Meat Spoilage, Springer Nature, 303-310, 2014, Cites: 0
Michał Knas and Robert Cierniak, A Modification of the Parallel Spline Interpolation Algorithms. (0)
A Modification of the Parallel Spline Interpolation Algorithms
, A Modification of the Parallel Spline Interpolation Algorithms, Springer, Heidelberg, 185-190, 2014, Cites: 02013 (30)
Leszek Rutkowski and Maciej Jaworski and Lena Pietruczuk and Piotr Duda, Decision trees for mining data streams based on the gaussian approximation. (173)
Decision trees for mining data streams based on the gaussian approximation
, Decision trees for mining data streams based on the gaussian approximation, IEEE, IEEE Transactions on Knowledge and Data Engineering, 1, 108-119, 2013, Cites: 173
Krzysztof Cpałka and Olga Rebrova and Robert Nowicki and Leszek Rutkowski, On design of flexible neuro-fuzzy systems for nonlinear modelling. (69)
On design of flexible neuro-fuzzy systems for nonlinear modelling
, On design of flexible neuro-fuzzy systems for nonlinear modelling, Routledge, International Journal of General Systems, 6, 706-720, 2013, Cites: 69
Krystian Łapa and Andrzej Przybył and Krzysztof Cpałka, A new approach to designing interpretable models of dynamic systems. (45)
A new approach to designing interpretable models of dynamic systems
, A new approach to designing interpretable models of dynamic systems, Springer, Berlin, Heidelberg, 523-534, 2013, Cites: 45
Janusz T Starczewski, Advanced concepts in fuzzy logic and systems with membership uncertainty. (44)
Advanced concepts in fuzzy logic and systems with membership uncertainty
, Advanced concepts in fuzzy logic and systems with membership uncertainty, Springer, 2013, Cites: 44
Marcin Zalasiński and Krzysztof Cpałka, New approach for the on-line signature verification based on method of horizontal partitioning. (44)
New approach for the on-line signature verification based on method of horizontal partitioning
, New approach for the on-line signature verification based on method of horizontal partitioning, Springer, Berlin, Heidelberg, 342-350, 2013, Cites: 44
Krystian Łapa and Marcin Zalasiński and Krzysztof Cpałka, A new method for designing and complexity reduction of neuro-fuzzy systems for nonlinear modelling. (40)
A new method for designing and complexity reduction of neuro-fuzzy systems for nonlinear modelling
, A new method for designing and complexity reduction of neuro-fuzzy systems for nonlinear modelling, Springer, Berlin, Heidelberg, 329-344, 2013, Cites: 40
Marcin Zalasiński and Krzysztof Cpałka, Novel algorithm for the on-line signature verification using selected discretization points groups. (37)
Novel algorithm for the on-line signature verification using selected discretization points groups
, Novel algorithm for the on-line signature verification using selected discretization points groups, Springer, Berlin, Heidelberg, 493-502, 2013, Cites: 37
Marcin Zalasiński and Krystian Łapa and Krzysztof Cpałka, New algorithm for evolutionary selection of the dynamic signature global features. (36)
New algorithm for evolutionary selection of the dynamic signature global features
, New algorithm for evolutionary selection of the dynamic signature global features, Springer, Berlin, Heidelberg, 113-121, 2013, Cites: 36
Marcin Woźniak and Zbigniew Marszałek and Marcin Gabryel and Robert K Nowicki, Modified merge sort algorithm for large scale data sets. (35)
Modified merge sort algorithm for large scale data sets
, Modified merge sort algorithm for large scale data sets, Springer, Berlin, Heidelberg, 612-622, 2013, Cites: 35
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. (33)
Genetic cost optimization of the GI/M/1/N finite-buffer queue with a single vacation policy
, 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
Jacek Szczypta and Andrzej Przybył and Krzysztof Cpałka, Some aspects of evolutionary designing optimal controllers. (33)
Some aspects of evolutionary designing optimal controllers
, Some aspects of evolutionary designing optimal controllers, Springer, Berlin, Heidelberg, 91-100, 2013, Cites: 33
Marcin Gabryel and Marcin Korytkowski and Rafał Scherer and Leszek Rutkowski, Object detection by simple fuzzy classifiers generated by boosting. (26)
Object detection by simple fuzzy classifiers generated by boosting
, Object detection by simple fuzzy classifiers generated by boosting, Springer, Berlin, Heidelberg, 540-547, 2013, Cites: 26
Lena Pietruczuk and Piotr Duda and Maciej Jaworski, Adaptation of decision trees for handling concept drift. (21)
Adaptation of decision trees for handling concept drift
, Adaptation of decision trees for handling concept drift, Springer, Berlin, Heidelberg, 459-473, 2013, Cites: 21
Łukasz Bartczuk and Andrzej Przybył and Piotr Dziwiński, Hybrid state variables-fuzzy logic modelling of nonlinear objects. (19)
Hybrid state variables-fuzzy logic modelling of nonlinear objects
, Hybrid state variables-fuzzy logic modelling of nonlinear objects, Springer, Berlin, Heidelberg, 227-234, 2013, Cites: 19
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. (14)
Improved digital image segmentation based on stereo vision and mean shift algorithm
, Improved digital image segmentation based on stereo vision and mean shift algorithm, Springer, Berlin, Heidelberg, 433-443, 2013, Cites: 14
M Woźniak and Z Marszałek and M Gabryel and RK Nowicki, Triple heap sort algorithm for large data sets. (14)
Triple heap sort algorithm for large data sets
, Triple heap sort algorithm for large data sets, Looking into the Future of Creativity and Decision Support Systems, 657-665, 2013, Cites: 14
M Woźniak and Z Marszałek and M Gabryel and RK Nowicki, On quick sort algorithm performance for large data sets. (10)
On quick sort algorithm performance for large data sets
, 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
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. (9)
A new method of improving classification accuracy of decision tree in case of incomplete samples
, A new method of improving classification accuracy of decision tree in case of incomplete samples, Springer, Berlin, Heidelberg, 448-458, 2013, Cites: 9
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. (8)
Neural Networks and Soft Computing: Proceedings of the Sixth International Conference on Neural Network and Soft Computing, Zakopane, Poland, June 11-15, 2002
, 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: 8
Robert Cierniak and Michal Knop, Video compression algorithm based on neural networks. (7)
Video compression algorithm based on neural networks
, Video compression algorithm based on neural networks, Springer, Berlin, Heidelberg, 524-531, 2013, Cites: 7
Sebastian Pabiasz and Janusz T Starczewski, A new approach to determine three-dimensional facial landmarks. (7)
A new approach to determine three-dimensional facial landmarks
, A new approach to determine three-dimensional facial landmarks, Springer, Berlin, Heidelberg, 286-296, 2013, Cites: 7
Patryk Najgebauer and Tomasz Nowak and Jakub Romanowski and Janusz Rygał and Marcin Korytkowski, Representation of edge detection results based on graph theory. (5)
Representation of edge detection results based on graph theory
, Representation of edge detection results based on graph theory, Springer, Berlin, Heidelberg, 588-601, 2013, Cites: 5
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. (4)
Artificial Intelligence and Soft Computing: 12th International Conference, ICAISC 2013, Zakopane, Poland, June 9-13, 2013, Proceedings, Part I
, Artificial Intelligence and Soft Computing: 12th International Conference, ICAISC 2013, Zakopane, Poland, June 9-13, 2013, Proceedings, Part I, Springer, 2013, Cites: 4
Tomasz Nowak and Patryk Najgebauer and Jakub Rygał and Rafał Scherer, A novel graph-based descriptor for object matching. (4)
A novel graph-based descriptor for object matching
, A novel graph-based descriptor for object matching, Springer, Berlin, Heidelberg, 602-612, 2013, Cites: 4
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. (4)
Extraction of objects from images using density of edges as basis for GrabCut algorithm
, Extraction of objects from images using density of edges as basis for GrabCut algorithm, Springer, Berlin, Heidelberg, 613-623, 2013, Cites: 4
Tomasz Nowak and Marcin Gabryel and Marcin Korytkowski and Rafał Scherer, Comparing images based on histograms of local interest points. (3)
Comparing images based on histograms of local interest points
, Comparing images based on histograms of local interest points, Springer, Berlin, Heidelberg, 423-432, 2013, Cites: 3
Janusz T Starczewski, Algebraic Operations on Fuzzy Valued Fuzzy Sets. (0)
Algebraic Operations on Fuzzy Valued Fuzzy Sets
, Algebraic Operations on Fuzzy Valued Fuzzy Sets, Springer, Berlin, Heidelberg, 33-76, 2013, Cites: 0
Janusz T Starczewski, Uncertainty in Fuzzy Sets. (0)
Uncertainty in Fuzzy Sets
, Uncertainty in Fuzzy Sets, Springer, Berlin, Heidelberg, 1-31, 2013, Cites: 0
Janusz T Starczewski, Designing Uncertain Fuzzy Logic Systems. (0)
Designing Uncertain Fuzzy Logic Systems
, Designing Uncertain Fuzzy Logic Systems, Springer, Berlin, Heidelberg, 279-304, 2013, Cites: 0
Janusz T Starczewski, Uncertainty Generation in Uncertain Fuzzy Logic Systems. (0)
Uncertainty Generation in Uncertain Fuzzy Logic Systems
, Uncertainty Generation in Uncertain Fuzzy Logic Systems, Springer, Berlin, Heidelberg, 181-277, 2013, Cites: 02012 (40)
Leszek Rutkowski and Lena Pietruczuk and Piotr Duda and Maciej Jaworski, Decision trees for mining data streams based on the McDiarmid's bound. (219)
Decision trees for mining data streams based on the McDiarmid's bound
, 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: 219
Krzysztof Cpałka Leszek Rutkowski and Andrzej Przybył, Novel on-line speed profile generation for industrial machine tool based on flexible neuro-fuzzy approximation. (95)
Novel on-line speed profile generation for industrial machine tool based on flexible neuro-fuzzy approximation
, 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: 95
Rafał Scherer, Multiple fuzzy classification systems. (51)
Multiple fuzzy classification systems
, Multiple fuzzy classification systems, Springer, 2012, Cites: 51
Marcin Zalasiński and Krzysztof Cpałka, Novel algorithm for the on-line signature verification. (45)
Novel algorithm for the on-line signature verification
, Novel algorithm for the on-line signature verification, Springer, Berlin, Heidelberg, 362-367, 2012, Cites: 45
Andrzej Przybył and Krzysztof Cpałka, A new method to construct of interpretable models of dynamic systems. (43)
A new method to construct of interpretable models of dynamic systems
, A new method to construct of interpretable models of dynamic systems, Springer, Berlin, Heidelberg, 697-705, 2012, Cites: 43
Marcin Gabryel and Marcin Woźniak and Robert K Nowicki, Creating learning sets for control systems using an evolutionary method. (31)
Creating learning sets for control systems using an evolutionary method
, Creating learning sets for control systems using an evolutionary method, Springer, Berlin, Heidelberg, 206-213, 2012, Cites: 31
Piotr Dziwiński and Łukasz Bartczuk and Janusz T Starczewski, Fully controllable ant colony system for text data clustering. (26)
Fully controllable ant colony system for text data clustering
, Fully controllable ant colony system for text data clustering, Springer, Berlin, Heidelberg, 199-205, 2012, Cites: 26
Łukasz Bartczuk and Piotr Dziwiński and Janusz T Starczewski, A new method for dealing with unbalanced linguistic term set. (25)
A new method for dealing with unbalanced linguistic term set
, A new method for dealing with unbalanced linguistic term set, Springer, Berlin, Heidelberg, 207-212, 2012, Cites: 25
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. (23)
Application of neural networks in assessing changes around implant after total hip arthroplasty
, Application of neural networks in assessing changes around implant after total hip arthroplasty, Springer, Berlin, Heidelberg, 335-340, 2012, Cites: 23
Maciej Jaworski and Piotr Duda and Lena Pietruczuk, On fuzzy clustering of data streams with concept drift. (23)
On fuzzy clustering of data streams with concept drift
, On fuzzy clustering of data streams with concept drift, Springer, Berlin, Heidelberg, 82-91, 2012, Cites: 23
Lena Pietruczuk and Piotr Duda and Maciej Jaworski, A new fuzzy classifier for data streams. (19)
A new fuzzy classifier for data streams
, A new fuzzy classifier for data streams, Springer, Berlin, Heidelberg, 318-324, 2012, Cites: 19
Piotr Duda and Maciej Jaworski and Lena Pietruczuk, On pre-processing algorithms for data stream. (18)
On pre-processing algorithms for data stream
, On pre-processing algorithms for data stream, Springer, Berlin, Heidelberg, 56-63, 2012, Cites: 18
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. (17)
On the strong convergence of the orthogonal series-type kernel regression neural networks in a non-stationary environment
, 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: 17
Arkadiusz Szarek and Marcin Korytkowski and Leszek Rutkowski and Rafał Scherer and Janusz Szyprowski, Forecasting wear of head and acetabulum in hip joint implant. (16)
Forecasting wear of head and acetabulum in hip joint implant
, Forecasting wear of head and acetabulum in hip joint implant, Springer, Berlin, Heidelberg, 341-346, 2012, Cites: 16
Maciej Jaworski and Lena Pietruczuk and Piotr Duda, On resources optimization in fuzzy clustering of data streams. (15)
On resources optimization in fuzzy clustering of data streams
, On resources optimization in fuzzy clustering of data streams, Springer, Berlin, Heidelberg, 92-99, 2012, Cites: 15
Rafał Scherer, Relational modular fuzzy systems. (8)
Relational modular fuzzy systems
, Relational modular fuzzy systems, Springer, Berlin, Heidelberg, 39-50, 2012, Cites: 8
Rafał Scherer, Takagi-Sugeno fuzzy systems. (6)
Takagi-Sugeno fuzzy systems
, Takagi-Sugeno fuzzy systems, Springer, Berlin, Heidelberg, 73-79, 2012, Cites: 6
Sebastian Pabiasz and Janusz T Starczewski, Meshes vs. depth maps in face recognition systems. (5)
Meshes vs. depth maps in face recognition systems
, Meshes vs. depth maps in face recognition systems, Springer, Berlin, Heidelberg, 567-573, 2012, Cites: 5
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. (5)
Novel method for parasite detection in microscopic samples
, Novel method for parasite detection in microscopic samples, Springer, Berlin, Heidelberg, 551-558, 2012, Cites: 5
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. (4)
Properties and structure of fast text search engine in context of semantic image analysis
, Properties and structure of fast text search engine in context of semantic image analysis, Springer, Berlin, Heidelberg, 592-599, 2012, Cites: 4
L Rutkowski and K Cpałka and R Nowicki and A Pokropińska and R Scherer, Neuro-fuzzy SystemsNeuro-fuzzy systems (NFS). (4)
Neuro-fuzzy SystemsNeuro-fuzzy systems (NFS)
, Neuro-fuzzy SystemsNeuro-fuzzy systems (NFS), Springer, Computational Complexity, 2069-2081, 2012, Cites: 4
Marcin Woźniak and Zbigniew Marszałek and Marcin Gabryel, The analysis of properties of insertion sort algorithm for large data sets. (4)
The analysis of properties of insertion sort algorithm for large data sets
, The analysis of properties of insertion sort algorithm for large data sets, Zeszyty Naukowe. Matematyka Stosowana/Politechnika Śląska, 2012, Cites: 4
Robert Cierniak and Anna Lorent, A neuronal approach to the statistical image reconstruction from projections problem. (3)
A neuronal approach to the statistical image reconstruction from projections problem
, A neuronal approach to the statistical image reconstruction from projections problem, Springer, Berlin, Heidelberg, 344-353, 2012, Cites: 3
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. (2)
Swarm and Evolutionary Computation: International Symposium, SIDE 2012, Held in Conjunction with ICAISC 2012, Zakopane, Poland, April 29-May 3, 2012, Proceedings
, 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: 2
Piotr Duda and Marcin Korytkowski, On the strong convergence of the recursive orthogonal series-type kernel probabilistic neural networks handling time-varying noise. (1)
On the strong convergence of the recursive orthogonal series-type kernel probabilistic neural networks handling time-varying noise
, 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
Rafał Scherer, Ensembles of the Mamdani Fuzzy Systems. (1)
Ensembles of the Mamdani Fuzzy Systems
, Ensembles of the Mamdani Fuzzy Systems, Springer, Berlin, Heidelberg, 51-59, 2012, Cites: 1
Rafał Scherer, Ensemble Techniques. (1)
Ensemble Techniques
, Ensemble Techniques, Springer, Berlin, Heidelberg, 29-37, 2012, Cites: 1
Marcin Woźniak and Marcin Gabryel and R Nowicki, Model of decision support system for ball positioning relative to the center of mobile beam. (1)
Model of decision support system for ball positioning relative to the center of mobile beam
, Model of decision support system for ball positioning relative to the center of mobile beam, Zeszyty Naukowe. Matematyka Stosowana/Politechnika Śląska, 2012, Cites: 1
Leszek Rutkowski and Marcin Korytkowski and Rafal Scherer and Ryszard Tadeusiewicz and Lotfi Zadeh and Jacek Zurada, Swarm Intelligence and Differential Evolution. (0)
Swarm Intelligence and Differential Evolution
, Swarm Intelligence and Differential Evolution, Springer, 2012, Cites: 0
Rafał Scherer, Rough-neuro-fuzzy Ensembles for Classification with Missing Data. (0)
Rough-neuro-fuzzy Ensembles for Classification with Missing Data
, Rough-neuro-fuzzy Ensembles for Classification with Missing Data, Springer, Berlin, Heidelberg, 81-127, 2012, Cites: 0
Leszek Rutkowski and Marcin Korytkowski and Rafał Scherer and Ryszard Tadeusiewicz and Lotfi A Zadeh, Proceedings of the 11th international conference on Artificial Intelligence and Soft Computing-Volume Part I. (0)
Proceedings of the 11th international conference on Artificial Intelligence and Soft Computing-Volume Part I
, Proceedings of the 11th international conference on Artificial Intelligence and Soft Computing-Volume Part I, Springer-Verlag, 2012, Cites: 0
Leszek Rutkowski and Marcin Korytkowski and Rafał Scherer and Ryszard Tadeusiewicz and Lotfi A Zadeh, Proceedings of the 2012 international conference on Swarm and Evolutionary Computation. (0)
Proceedings of the 2012 international conference on Swarm and Evolutionary Computation
, Proceedings of the 2012 international conference on Swarm and Evolutionary Computation, Springer-Verlag, 2012, Cites: 0
Rafał Scherer, Introduction to Fuzzy Systems. (0)
Introduction to Fuzzy Systems
, Introduction to Fuzzy Systems, Springer, Berlin, Heidelberg, 7-28, 2012, Cites: 0
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. (0)
Simulation of the characteristics of the ball movement on a beam by the use of genetic algorithm
, 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
Maciej Jaworski and Marcin Gabryel, On learning in a time-varying environment by using a probabilistic neural network and the recursive least squares method. (0)
On learning in a time-varying environment by using a probabilistic neural network and the recursive least squares method
, 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
Rafał Scherer, Concluding Remarks and Challenges for Future Research. (0)
Concluding Remarks and Challenges for Future Research
, Concluding Remarks and Challenges for Future Research, Springer, Berlin, Heidelberg, 129-130, 2012, Cites: 0
Leszek Rutkowski, Nonparametric estimates of a regression function. (0)
Nonparametric estimates of a regression function
, 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
A Szarek and M Korytkowski and L Rutkowski and R Scherer and J Szyprowski, Orthopedic diagnostics with ensembles of learning systems. (0)
Orthopedic diagnostics with ensembles of learning systems
, Orthopedic diagnostics with ensembles of learning systems, Aktualne Problemy Biomechaniki, 6, 141--146, 2012, Cites: 0
Rafał Scherer, Logical Type Fuzzy Systems. (0)
Logical Type Fuzzy Systems
, Logical Type Fuzzy Systems, Springer, Berlin, Heidelberg, 61-71, 2012, Cites: 0
Meng Joo Er and Piotr Duda, On the uniform convergence of the orthogonal series-type kernel regression neural networks in a time-varying environment. (0)
On the uniform convergence of the orthogonal series-type kernel regression neural networks in a time-varying environment
, 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: 02011 (26)
Robert Cierniak, X-ray computed tomography in biomedical engineering. (183)
X-ray computed tomography in biomedical engineering
, X-ray computed tomography in biomedical engineering, Springer Science & Business Media, 2011, Cites: 183
Leszek Rutkowski and Andrzej Przybyl and Krzysztof Cpalka, Novel online speed profile generation for industrial machine tool based on flexible neuro-fuzzy approximation. (95)
Novel online speed profile generation for industrial machine tool based on flexible neuro-fuzzy approximation
, 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: 95
M Zalasiński and K Cpałka, A new method of on-line signature verification using a flexible fuzzy one-class classifier. (35)
A new method of on-line signature verification using a flexible fuzzy one-class classifier
, 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
Marcin Korytkowski and Robert Nowicki and Leszek Rutkowski and Rafał Scherer, AdaBoost ensemble of DCOG rough–neuro–fuzzy systems. (26)
AdaBoost ensemble of DCOG rough–neuro–fuzzy systems
, AdaBoost ensemble of DCOG rough–neuro–fuzzy systems, Springer, Berlin, Heidelberg, 62-71, 2011, Cites: 26
Robert Cierniak, Some words about the history of computed tomography. (18)
Some words about the history of computed tomography
, Some words about the history of computed tomography, Springer, London, 7-19, 2011, Cites: 18
Meng Joo Er and Piotr Duda, On the weak convergence of the orthogonal series-type kernel regresion neural networks in a non-stationary environment. (14)
On the weak convergence of the orthogonal series-type kernel regresion neural networks in a non-stationary environment
, 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
Bartosz A Nowak and Robert K Nowicki, Learning in rough-neuro-fuzzy system for data with missing values. (9)
Learning in rough-neuro-fuzzy system for data with missing values
, Learning in rough-neuro-fuzzy system for data with missing values, Springer, Berlin, Heidelberg, 501-510, 2011, Cites: 9
Robert Cierniak, Neural network algorithm for image reconstruction using the “grid-friendly” projections. (9)
Neural network algorithm for image reconstruction using the “grid-friendly” projections
, Neural network algorithm for image reconstruction using the “grid-friendly” projections, Springer Netherlands, Australasian physical & engineering sciences in medicine, 3, 375, 2011, Cites: 9
Rafał Scherer, An ensemble of logical-type neuro-fuzzy systems. (7)
An ensemble of logical-type neuro-fuzzy systems
, An ensemble of logical-type neuro-fuzzy systems, Pergamon, Expert Systems with Applications, 10, 13115-13120, 2011, Cites: 7
S Pabiasz and JT Starczewski, Face reconstruction for 3D systems. (5)
Face reconstruction for 3D systems
, Face reconstruction for 3D systems, Selected Topics in Computer Science Applications, 54-63, 2011, Cites: 5
K Cpałka and Z Kucharczyk and A Ulfik, E-learning w Politechnice Częstochowskiej. (4)
E-learning w Politechnice Częstochowskiej
, E-learning w Politechnice Częstochowskiej, Politechnika Częstochowska, 2011, Cites: 4
Marcin Korytkowski and Leszek Rutkowski and Rafał Scherer, Rule base normalization in Takagi-Sugeno ensemble. (3)
Rule base normalization in Takagi-Sugeno ensemble
, Rule base normalization in Takagi-Sugeno ensemble, IEEE, 1-5, 2011, Cites: 3
Robert Cierniak, Reconstruction from Parallel-beam Projections. (3)
Reconstruction from Parallel-beam Projections
, Reconstruction from Parallel-beam Projections, Springer, London, 83-125, 2011, Cites: 3
Robert Cierniak, An analytical statistical approach to the 3D reconstruction problem. (2)
An analytical statistical approach to the 3D reconstruction problem
, An analytical statistical approach to the 3D reconstruction problem, 2011, Cites: 2
Piotr Duda and Jacek M Zurada, On the Cesaro orthogonal series-type kernel probabilistic neural networks handling non-stationary noise. (2)
On the Cesaro orthogonal series-type kernel probabilistic neural networks handling non-stationary noise
, On the Cesaro orthogonal series-type kernel probabilistic neural networks handling non-stationary noise, Springer, Berlin, Heidelberg, 435-442, 2011, Cites: 2
K Cpałka and A Ulfik, Szkolenia i nowe narzędzia dla autorów kursów e-learningowych. (2)
Szkolenia i nowe narzędzia dla autorów kursów e-learningowych
, Szkolenia i nowe narzędzia dla autorów kursów e-learningowych, Politechnika Częstochowska, 14-15, 2011, Cites: 2
Robert Cierniak, The Physics of Data Acquisition. (1)
The Physics of Data Acquisition
, The Physics of Data Acquisition, Springer, London, 63-81, 2011, Cites: 1
Robert Cierniak, Algebraic reconstruction techniques. (1)
Algebraic reconstruction techniques
, Algebraic reconstruction techniques, Springer, London, 233-265, 2011, Cites: 1
Robert Cierniak, Technical Concepts of X-ray Computed Tomography Scanners. (1)
Technical Concepts of X-ray Computed Tomography Scanners
, Technical Concepts of X-ray Computed Tomography Scanners, Springer, London, 21-62, 2011, Cites: 1
Robert Cierniak, Spiral Tomography. (0)
Spiral Tomography
, Spiral Tomography, Springer, London, 149-231, 2011, Cites: 0
Krzysztof Cpałka and Olga Rebrova and Robert Nowicki and Leszek Rutkowski, On designing of flexible neuro-fuzzy systems for nonlinear modelling. (0)
On designing of flexible neuro-fuzzy systems for nonlinear modelling
, On designing of flexible neuro-fuzzy systems for nonlinear modelling, Springer, Berlin, Heidelberg, 147-154, 2011, Cites: 0
Robert Cierniak, Reconstruction from Fan-beam Projections. (0)
Reconstruction from Fan-beam Projections
, Reconstruction from Fan-beam Projections, Springer, London, 127-147, 2011, Cites: 0
Robert Cierniak, Evaluation of CT Devices. (0)
Evaluation of CT Devices
, Evaluation of CT Devices, Springer, London, 267-279, 2011, Cites: 0
Robert Cierniak, Computer-Generated Projections for Simulations. (0)
Computer-Generated Projections for Simulations
, Computer-Generated Projections for Simulations, Springer, London, 281-295, 2011, Cites: 0
Piotr Duda and Yoichi Hayashi, On the weak convergence of the recursive orthogonal series-type kernel probabilistic neural networks in a time-varying environment. (0)
On the weak convergence of the recursive orthogonal series-type kernel probabilistic neural networks in a time-varying environment
, 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
Leszek Rutkowski, Journal of Artificial Intelligence and Soft Computing Research: JAISCR. (0)