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)

An Explainable Fake News Detector Based on Named Entity Recognition and Stance Classification Applied to COVID-19
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, MDPI, Information, 3, 137, 2022, Cites: 8
Fuzzy clustering decomposition of genetic algorithm-based instance selection for regression problems
Mirosław Kordos and Marcin Blachnik and Rafał Scherer, Fuzzy clustering decomposition of genetic algorithm-based instance selection for regression problems, Elsevier, Information Sciences, 23-40, 2022, Cites: 5
Hierarchical interactive demand response power profile tracking optimization and control of multiple EV aggregators
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, Elsevier, Electric Power Systems Research, 107894, 2022, Cites: 2
Asynchronous Fault Detection for Memristive Neural Networks With Dwell-Time-Based Communication Protocol
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, IEEE, IEEE Transactions on Neural Networks and Learning Systems, 2022, Cites: 2
Unified End-to-End YOLOv5-HR-TCM Framework for Automatic 2D/3D Human Pose Estimation for Real-Time Applications
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, MDPI, Sensors, 14, 5419, 2022, Cites: 1
Deep Learning Methods in Short-Term Traffic Prediction: A Survey
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, Information Technology and Control, 1, 139-157, 2022, Cites: 1
Event-Triggered Synchronization of Multiple Discrete-Time Markovian Jump Memristor-Based Neural Networks With Mixed Mode-Dependent Delays
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, IEEE, IEEE Transactions on Circuits and Systems I: Regular Papers, 2022, Cites: 1
Circuit Implementation and Quasi-Stabilization of Delayed Inertial Memristor-Based Neural Networks
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, IEEE, IEEE Transactions on Neural Networks and Learning Systems, 2022, Cites: 1
Stabilization of Markovian Jump Boolean Control Networks via Event Triggered Control
Bingquan Chen and Jinde Cao and Guoping Lu and Leszek Rutkowski, Stabilization of Markovian Jump Boolean Control Networks via Event Triggered Control, IEEE, IEEE Transactions on Automatic Control, 2022, Cites: 1
Fast Solar Image Retrieval and Classification by Fuzzy Rules
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, IEEE, 1-7, 2022, Cites: 0
Overview of Capsule Neural Networks
Zengguo Sun and Guodong Zhao and Rafał Scherer and Wei Wei and Marcin Woźniak, Overview of Capsule Neural Networks, Journal of Internet Technology, 1, 33-44, 2022, Cites: 0
Special Issue on Reliable Machine Learning and Optimization
Nian Zhang and Jian Wang and Leszek Rutkowski, Special Issue on Reliable Machine Learning and Optimization, World Scientific Publishing Company, INTERNATIONAL JOURNAL ON ARTIFICIAL INTELLIGENCE TOOLS, 06, 2202006, 2022, Cites: 0
A Novel Method for Solar Image Retrieval Based on the Parzen Kernel Estimate of the Function Derivative and Convolutional Autoencoder
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, IEEE, 1-7, 2022, Cites: 0
From Network Package Flow to Images: How to Accurately Detect Anomalies in Computer Networks
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, IEEE, 1-4, 2022, Cites: 0
Event-triggered finite-time guaranteed cost H-infinity consensus for nonlinear uncertain multi-agent systems
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, IEEE, IEEE Transactions on Network Science and Engineering, 2022, Cites: 0
Continuous-to-Continuous Data Model vs. Discrete-to-Discrete Data Model for the Statistical Iterative Reconstruction Method
Robert Cierniak, Continuous-to-Continuous Data Model vs. Discrete-to-Discrete Data Model for the Statistical Iterative Reconstruction Method, Springer, Cham, 493-506, 2022, Cites: 0
Special issue on deep learning for time series data
Ruizhe Ma and Rafal Angryk and Rafal Scherer, Special issue on deep learning for time series data, Springer London, 1-2, 2022, Cites: 0
Formation Control of Multi-Agent Systems with Constrained Mismatched Compasses
Zhen Li and Yang Tang and Yongqing Fan and Tingwen Huang and Leszek Rutkowski, Formation Control of Multi-Agent Systems with Constrained Mismatched Compasses, IEEE, IEEE Transactions on Network Science and Engineering, 2022, Cites: 0
Real-time application of OPF-based classifier in Snort IDS
Luan Utimura and Kelton Costa and Rafał Scherer, Real-time application of OPF-based classifier in Snort IDS, Academic Press, 55-93, 2022, Cites: 0
Applying autonomous hybrid agent-based computing to difficult optimization problems
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, Elsevier, Journal of Computational Science, 101858, 2022, Cites: 0
Hypergraph-partitioning-based online joint scheduling of tasks and data
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, Springer US, The Journal of Supercomputing, 1-30, 2022, Cites: 0
Improving the Efficiency of the EMS-Based Smart City: A Novel Distributed Framework for Spatial Data
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, IEEE, IEEE Transactions on Industrial Informatics, 2022, Cites: 0
An Original Continuous-to-Continuous Forward Model as a Universal Method for the Formulation of Reconstruction Methods for Medical Imaging Techniques
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, Springer, Cham, 396-405, 2022, Cites: 0
Two Novel Methods for Multiple Kinect v2 Sensor Calibration
Sumit Hazra and Manasa Pisipati and Amrit Puhan and Anup Nandy and Rafał Scherer, Two Novel Methods for Multiple Kinect v2 Sensor Calibration, Springer, Cham, 403-414, 2022, Cites: 0
Local Search in Selected Crossover Operators
Mirosław Kordos and Rafał Kulka and Tomasz Steblik and Rafał Scherer, Local Search in Selected Crossover Operators, Springer, Cham, 369-382, 2022, Cites: 0

2021 (97)

Synchronization of Neural Networks via Periodic Self-Triggered Impulsive Control and Its Application in Image Encryption
Xuegang Tan and Changcheng Xiang and Jinde Cao and Wenying Xu and Guanghui Wen and Leszek Rutkowski, Synchronization of Neural Networks via Periodic Self-Triggered Impulsive Control and Its Application in Image Encryption, IEEE, IEEE Transactions on Cybernetics, 2021, Cites: 17
Finite-Time Synchronization of Complex-Valued Memristive-Based Neural Networks Via Hybrid Control
Tianhu Yu and Jinde Cao and Leszek Rutkowski and Yi-Ping Luo, Finite-Time Synchronization of Complex-Valued Memristive-Based Neural Networks Via Hybrid Control, IEEE, IEEE Transactions on Neural Networks and Learning Systems, 2021, Cites: 13
Short-Term Load Forecasting Based on Adabelief Optimized Temporal Convolutional Network and Gated Recurrent Unit Hybrid Neural Network
Hanhong Shi and Lei Wang and Rafał Scherer and Marcin Woźniak and Pengchao Zhang and Wei Wei, Short-Term Load Forecasting Based on Adabelief Optimized Temporal Convolutional Network and Gated Recurrent Unit Hybrid Neural Network, IEEE, IEEE Access, 66965-66981, 2021, Cites: 12
Abnormal Detection of Electricity Consumption of User Based on Particle Swarm Optimization and Long Short Term Memory With the Attention Mechanism
Jiahao Bian and Lei Wang and Rafał Scherer and Marcin Woźniak and Pengchao Zhang and Wei Wei, Abnormal Detection of Electricity Consumption of User Based on Particle Swarm Optimization and Long Short Term Memory With the Attention Mechanism, IEEE, IEEE Access, 47252-47265, 2021, Cites: 11
A novel method for speed training acceleration of recurrent neural networks
Jarosław Bilski and Leszek Rutkowski and Jacek Smoląg and Dacheng Tao, A novel method for speed training acceleration of recurrent neural networks, Elsevier, Information Sciences, 266-279, 2021, Cites: 9
Review of Road Segmentation for SAR Images
Zengguo Sun and Hui Geng and Zheng Lu and Rafał Scherer and Marcin Woźniak, Review of Road Segmentation for SAR Images, Multidisciplinary Digital Publishing Institute, 5, 1011, 2021, Cites: 8
Stabilization of Markovian Jump Boolean Control Networks via Sampled-Data Control
Bingquan Chen and Jinde Cao and Guoping Lu and Leszek Rutkowski, Stabilization of Markovian Jump Boolean Control Networks via Sampled-Data Control, IEEE, IEEE Transactions on Cybernetics, 2021, Cites: 8
Robust Composite Synchronization of Markov Jump Reaction-Diffusion Neural Networks via a Disturbance Observer-Based Method
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, IEEE, IEEE Transactions on Cybernetics, 2021, Cites: 8
Sitsen: Passive sitting posture sensing based on wireless devices
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, SAGE Publications, 7, 15501477211024846, 2021, Cites: 7
HUMANNET—A two-tiered deep neural network architecture for self-occluding humanoid pose reconstruction
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, MDPI, Sensors, 12, 3945, 2021, Cites: 7
Hybrid approaches to nature-inspired population-based intelligent optimization for industrial applications
Adam Słowik and Krzysztof Cpałka, Hybrid approaches to nature-inspired population-based intelligent optimization for industrial applications, IEEE, IEEE Transactions on Industrial Informatics, 1, 546-558, 2021, Cites: 6
Fixed-Point Arithmetic Unit with a Scaling Mechanism for FPGA-Based Embedded Systems
Andrzej Przybył, Fixed-Point Arithmetic Unit with a Scaling Mechanism for FPGA-Based Embedded Systems, Multidisciplinary Digital Publishing Institute, Electronics, 10, 1164, 2021, Cites: 5
A Novel Method for Invariant Image Reconstruction
Mirosław Pawlak and Gurmukh Singh Panesar and Marcin Korytkowski, A Novel Method for Invariant Image Reconstruction, Sciendo, Journal of Artificial Intelligence and Soft Computing Research, 1, 69-80, 2021, Cites: 5
Dynamical and static multisynchronization analysis for coupled multistable memristive neural networks with hybrid control
Xiaoxiao Lv and Jinde Cao and Leszek Rutkowski, Dynamical and static multisynchronization analysis for coupled multistable memristive neural networks with hybrid control, Pergamon, Neural Networks, 515-524, 2021, Cites: 4
Monitoring Regenerative Heat Exchanger in Steam Power Plant by Making Use of the Recurrent Neural Network
Tacjana Niksa-Rynkiewicz and Natalia Szewczuk-Krypa and Anna Witkowska and Krzysztof Cpałka and Marcin Zalasiński and Andrzej Cader, Monitoring Regenerative Heat Exchanger in Steam Power Plant by Making Use of the Recurrent Neural Network, Journal of Artificial Intelligence and Soft Computing Research, 143-155, 2021, Cites: 4
Improved Fisher MAP Filter for Despeckling of High-Resolution SAR Images Based on Structural Information Detection
Wei Wei and Zeng-Guo Sun and Zhi-Hua Zhang and Rafal Scherer and Robertas Damaševičius, Improved Fisher MAP Filter for Despeckling of High-Resolution SAR Images Based on Structural Information Detection, Journal of Internet Technology, 2, 413-421, 2021, Cites: 4
HUMANNET-a Two-Tiered Deep Neural Network Architecture for Self-Occluding Humanoid Pose Reconstruction
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, Multidisciplinary Digital Publishing Institute, Sensors, 12, 3945, 2021, Cites: 4
A Fixed-time Distributed Optimization Algorithm Based on Event-triggered Strategy
Yuwen Song and Jinde Cao and Leszek Rutkowski, A Fixed-time Distributed Optimization Algorithm Based on Event-triggered Strategy, IEEE, IEEE Transactions on Network Science and Engineering, 2021, Cites: 4
Hardware implementation of a Takagi-Sugeno neuro-fuzzy system optimized by a population algorithm
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, Journal of Artificial Intelligence and Soft Computing Research, 2021, Cites: 2
Hardware implementation of a Takagi-Sugeno neuro-fuzzy system optimized by a population algorithm
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, Journal of Artificial Intelligence and Soft Computing Research, 2021, Cites: 2
Hardware implementation of a Takagi-Sugeno neuro-fuzzy system optimized by a population algorithm
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, Journal of Artificial Intelligence and Soft Computing Research, 2021, Cites: 2
HARDWARE IMPLEMENTATION OF A TAKAGI-SUGENO NEURO-FUZZY SYSTEM OPTIMIZED BY A POPULATION ALGORITHM
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, Publisher in Open Access Version: Sciendo (De Gruyter Open), Journal of Artificial Intelligence and Soft Computing Research, 3, 243 - 266, 2021, Cites: 2
HARDWARE IMPLEMENTATION OF A TAKAGI-SUGENO NEURO-FUZZY SYSTEM OPTIMIZED BY A POPULATION ALGORITHM
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, Publisher in Open Access Version: Sciendo (De Gruyter Open), Journal of Artificial Intelligence and Soft Computing Research, 3, 243 - 266, 2021, Cites: 2
HARDWARE IMPLEMENTATION OF A TAKAGI-SUGENO NEURO-FUZZY SYSTEM OPTIMIZED BY A POPULATION ALGORITHM
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, Publisher in Open Access Version: Sciendo (De Gruyter Open), Journal of Artificial Intelligence and Soft Computing Research, 3, 243 - 266, 2021, Cites: 2
HARDWARE IMPLEMENTATION OF A TAKAGI-SUGENO NEURO-FUZZY SYSTEM OPTIMIZED BY A POPULATION ALGORITHM
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, Publisher in Open Access Version: Sciendo (De Gruyter Open), Journal of Artificial Intelligence and Soft Computing Research, 3, 243 - 266, 2021, Cites: 2
HARDWARE IMPLEMENTATION OF A TAKAGI-SUGENO NEURO-FUZZY SYSTEM OPTIMIZED BY A POPULATION ALGORITHM
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, Publisher in Open Access Version: Sciendo (De Gruyter Open), Journal of Artificial Intelligence and Soft Computing Research, 3, 243 - 266, 2021, Cites: 2
HARDWARE IMPLEMENTATION OF A TAKAGI-SUGENO NEURO-FUZZY SYSTEM OPTIMIZED BY A POPULATION ALGORITHM
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, Publisher in Open Access Version: Sciendo (De Gruyter Open), Journal of Artificial Intelligence and Soft Computing Research, 3, 243 - 266, 2021, Cites: 2
HARDWARE IMPLEMENTATION OF A TAKAGI-SUGENO NEURO-FUZZY SYSTEM OPTIMIZED BY A POPULATION ALGORITHM
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, Publisher in Open Access Version: Sciendo (De Gruyter Open), Journal of Artificial Intelligence and Soft Computing Research, 3, 243 - 266, 2021, Cites: 2
HARDWARE IMPLEMENTATION OF A TAKAGI-SUGENO NEURO-FUZZY SYSTEM OPTIMIZED BY A POPULATION ALGORITHM
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, Publisher in Open Access Version: Sciendo (De Gruyter Open), Journal of Artificial Intelligence and Soft Computing Research, 3, 243 - 266, 2021, Cites: 2
Hardware implementation of a Takagi-Sugeno neuro-fuzzy system optimized by a population algorithm
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, Journal of Artificial Intelligence and Soft Computing Research, 2021, Cites: 2
Hardware implementation of a Takagi-Sugeno neuro-fuzzy system optimized by a population algorithm
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, Journal of Artificial Intelligence and Soft Computing Research, 2021, Cites: 2
Hardware implementation of a Takagi-Sugeno neuro-fuzzy system optimized by a population algorithm
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, Journal of Artificial Intelligence and Soft Computing Research, 2021, Cites: 2
Hardware implementation of a Takagi-Sugeno neuro-fuzzy system optimized by a population algorithm
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, Journal of Artificial Intelligence and Soft Computing Research, 2021, Cites: 2
HARDWARE IMPLEMENTATION OF A TAKAGI-SUGENO NEURO-FUZZY SYSTEM OPTIMIZED BY A POPULATION ALGORITHM
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, Publisher in Open Access Version: Sciendo (De Gruyter Open), Journal of Artificial Intelligence and Soft Computing Research, 3, 243 - 266, 2021, Cites: 2
HARDWARE IMPLEMENTATION OF A TAKAGI-SUGENO NEURO-FUZZY SYSTEM OPTIMIZED BY A POPULATION ALGORITHM
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, Publisher in Open Access Version: Sciendo (De Gruyter Open), Journal of Artificial Intelligence and Soft Computing Research, 3, 243 - 266, 2021, Cites: 2
Hardware implementation of a Takagi-Sugeno neuro-fuzzy system optimized by a population algorithm
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, Journal of Artificial Intelligence and Soft Computing Research, 2021, Cites: 2
Hardware implementation of a Takagi-Sugeno neuro-fuzzy system optimized by a population algorithm
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, Journal of Artificial Intelligence and Soft Computing Research, 2021, Cites: 2
Hardware implementation of a Takagi-Sugeno neuro-fuzzy system optimized by a population algorithm
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, Journal of Artificial Intelligence and Soft Computing Research, 2021, Cites: 2
HARDWARE IMPLEMENTATION OF A TAKAGI-SUGENO NEURO-FUZZY SYSTEM OPTIMIZED BY A POPULATION ALGORITHM
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, Publisher in Open Access Version: Sciendo (De Gruyter Open), Journal of Artificial Intelligence and Soft Computing Research, 3, 243 - 266, 2021, Cites: 2
HARDWARE IMPLEMENTATION OF A TAKAGI-SUGENO NEURO-FUZZY SYSTEM OPTIMIZED BY A POPULATION ALGORITHM
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, Publisher in Open Access Version: Sciendo (De Gruyter Open), Journal of Artificial Intelligence and Soft Computing Research, 3, 243 - 266, 2021, Cites: 2
HARDWARE IMPLEMENTATION OF A TAKAGI-SUGENO NEURO-FUZZY SYSTEM OPTIMIZED BY A POPULATION ALGORITHM
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, Publisher in Open Access Version: Sciendo (De Gruyter Open), Journal of Artificial Intelligence and Soft Computing Research, 3, 243 - 266, 2021, Cites: 2
HARDWARE IMPLEMENTATION OF A TAKAGI-SUGENO NEURO-FUZZY SYSTEM OPTIMIZED BY A POPULATION ALGORITHM
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, Publisher in Open Access Version: Sciendo (De Gruyter Open), Journal of Artificial Intelligence and Soft Computing Research, 3, 243 - 266, 2021, Cites: 2
Hardware implementation of a Takagi-Sugeno neuro-fuzzy system optimized by a population algorithm
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, Journal of Artificial Intelligence and Soft Computing Research, 2021, Cites: 2
Hardware implementation of a Takagi-Sugeno neuro-fuzzy system optimized by a population algorithm
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, Journal of Artificial Intelligence and Soft Computing Research, 2021, Cites: 2
Hardware implementation of a Takagi-Sugeno neuro-fuzzy system optimized by a population algorithm
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, Journal of Artificial Intelligence and Soft Computing Research, 2021, Cites: 2
HARDWARE IMPLEMENTATION OF A TAKAGI-SUGENO NEURO-FUZZY SYSTEM OPTIMIZED BY A POPULATION ALGORITHM
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, Publisher in Open Access Version: Sciendo (De Gruyter Open), Journal of Artificial Intelligence and Soft Computing Research, 3, 243 - 266, 2021, Cites: 2
HARDWARE IMPLEMENTATION OF A TAKAGI-SUGENO NEURO-FUZZY SYSTEM OPTIMIZED BY A POPULATION ALGORITHM
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, Publisher in Open Access Version: Sciendo (De Gruyter Open), Journal of Artificial Intelligence and Soft Computing Research, 3, 243 - 266, 2021, Cites: 2
Synthesis of Vertically Aligned Porous Silica Thin Films Functionalized by Silver Ions
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, Multidisciplinary Digital Publishing Institute, International Journal of Molecular Sciences, 14, 7505, 2021, Cites: 2
Hardware implementation of a Takagi-Sugeno neuro-fuzzy system optimized by a population algorithm
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, Journal of Artificial Intelligence and Soft Computing Research, 2021, Cites: 2
Hardware implementation of a Takagi-Sugeno neuro-fuzzy system optimized by a population algorithm
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, Journal of Artificial Intelligence and Soft Computing Research, 2021, Cites: 2
HARDWARE IMPLEMENTATION OF A TAKAGI-SUGENO NEURO-FUZZY SYSTEM OPTIMIZED BY A POPULATION ALGORITHM
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, Publisher in Open Access Version: Sciendo (De Gruyter Open), Journal of Artificial Intelligence and Soft Computing Research, 3, 243 - 266, 2021, Cites: 2
Hardware implementation of a Takagi-Sugeno neuro-fuzzy system optimized by a population algorithm
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, Journal of Artificial Intelligence and Soft Computing Research, 2021, Cites: 2
Hardware implementation of a Takagi-Sugeno neuro-fuzzy system optimized by a population algorithm
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, Journal of Artificial Intelligence and Soft Computing Research, 2021, Cites: 2
Hardware implementation of a Takagi-Sugeno neuro-fuzzy system optimized by a population algorithm
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, Journal of Artificial Intelligence and Soft Computing Research, 2021, Cites: 2
Hardware implementation of a Takagi-Sugeno neuro-fuzzy system optimized by a population algorithm
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, Journal of Artificial Intelligence and Soft Computing Research, 2021, Cites: 2
HARDWARE IMPLEMENTATION OF A TAKAGI-SUGENO NEURO-FUZZY SYSTEM OPTIMIZED BY A POPULATION ALGORITHM
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, Publisher in Open Access Version: Sciendo (De Gruyter Open), Journal of Artificial Intelligence and Soft Computing Research, 3, 243 - 266, 2021, Cites: 2
HARDWARE IMPLEMENTATION OF A TAKAGI-SUGENO NEURO-FUZZY SYSTEM OPTIMIZED BY A POPULATION ALGORITHM
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, Publisher in Open Access Version: Sciendo (De Gruyter Open), Journal of Artificial Intelligence and Soft Computing Research, 3, 243 - 266, 2021, Cites: 2
Hardware implementation of a Takagi-Sugeno neuro-fuzzy system optimized by a population algorithm
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, Journal of Artificial Intelligence and Soft Computing Research, 2021, Cites: 2
HARDWARE IMPLEMENTATION OF A TAKAGI-SUGENO NEURO-FUZZY SYSTEM OPTIMIZED BY A POPULATION ALGORITHM
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, Publisher in Open Access Version: Sciendo (De Gruyter Open), Journal of Artificial Intelligence and Soft Computing Research, 3, 243 - 266, 2021, Cites: 2
HARDWARE IMPLEMENTATION OF A TAKAGI-SUGENO NEURO-FUZZY SYSTEM OPTIMIZED BY A POPULATION ALGORITHM
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, Publisher in Open Access Version: Sciendo (De Gruyter Open), Journal of Artificial Intelligence and Soft Computing Research, 3, 243 - 266, 2021, Cites: 2
Hardware implementation of a Takagi-Sugeno neuro-fuzzy system optimized by a population algorithm
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, Journal of Artificial Intelligence and Soft Computing Research, 2021, Cites: 2
HARDWARE IMPLEMENTATION OF A TAKAGI-SUGENO NEURO-FUZZY SYSTEM OPTIMIZED BY A POPULATION ALGORITHM
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, Publisher in Open Access Version: Sciendo (De Gruyter Open), Journal of Artificial Intelligence and Soft Computing Research, 3, 243 - 266, 2021, Cites: 2
HARDWARE IMPLEMENTATION OF A TAKAGI-SUGENO NEURO-FUZZY SYSTEM OPTIMIZED BY A POPULATION ALGORITHM
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, Publisher in Open Access Version: Sciendo (De Gruyter Open), Journal of Artificial Intelligence and Soft Computing Research, 3, 243 - 266, 2021, Cites: 2
Hardware implementation of a Takagi-Sugeno neuro-fuzzy system optimized by a population algorithm
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, Journal of Artificial Intelligence and Soft Computing Research, 2021, Cites: 2
Hardware implementation of a Takagi-Sugeno neuro-fuzzy system optimized by a population algorithm
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, Journal of Artificial Intelligence and Soft Computing Research, 2021, Cites: 2
Design and Implementation of Regional Food Distribution Platform Based on Big Data
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, IEEE, 496-501, 2021, Cites: 1
Design of a MEMS sensor array for dam subsidence monitoring based on dual-sensor cooperative measurements
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, Korean Society for Internet Information, KSII Transactions on Internet and Information Systems (TIIS), 10, 3554-3570, 2021, Cites: 1
A Low-Dimensional Layout of Magnetic Units as Nano-Systems of Combinatorial Logic: Numerical Simulations
Dominika Kuźma and Paweł Kowalczyk and Krzysztof Cpałka and Łukasz Laskowski, A Low-Dimensional Layout of Magnetic Units as Nano-Systems of Combinatorial Logic: Numerical Simulations, Multidisciplinary Digital Publishing Institute, Materials, 11, 2974, 2021, Cites: 1
A diversified shared latent variable model for efficient image characteristics extraction and modelling
Hao Xiong and Yuan Yan Tang and Fionn Murtagh and Leszek Rutkowski and Shlomo Berkovsky, A diversified shared latent variable model for efficient image characteristics extraction and modelling, Elsevier, Neurocomputing, 244-259, 2021, Cites: 1
Bankline detection of GF-3 SAR images based on shearlet
Zengguo Sun and Guodong Zhao and Marcin Woźniak and Rafał Scherer and Robertas Damaševičius, Bankline detection of GF-3 SAR images based on shearlet, PeerJ Inc., PeerJ Computer Science, e611, 2021, Cites: 1
MSAR‐DefogNet: Lightweight cloud removal network for high resolution remote sensing images based on multi scale convolution
Ying Zhou and Weipeng Jing and Jian Wang and Guangsheng Chen and Rafal Scherer and Robertas Damaševičius, MSAR‐DefogNet: Lightweight cloud removal network for high resolution remote sensing images based on multi scale convolution, IET Image Processing, 2021, Cites: 1
Human Segmentation and Tracking Survey on Masks for MADS Dataset
Van-Hung Le and Rafal Scherer, Human Segmentation and Tracking Survey on Masks for MADS Dataset, Multidisciplinary Digital Publishing Institute, Sensors, 24, 8397, 2021, Cites: 1
Monitoring of Changes in Data Stream Distribution Using Convolutional Restricted Boltzmann Machines
Maciej Jaworski and Leszek Rutkowski and Paweł Staszewski and Patryk Najgebauer, Monitoring of Changes in Data Stream Distribution Using Convolutional Restricted Boltzmann Machines, Springer, Cham, 338-346, 2021, Cites: 1
Design and Implementation of Public Opinion Monitoring System Based on Cloud Platform
Wei Wei and Long Wang and Xiaowan Li and Beibei Zhang and Rafał Scherer, Design and Implementation of Public Opinion Monitoring System Based on Cloud Platform, Journal of Internet Technology, 3, 569-581, 2021, Cites: 1
CVA-GNN: Convolutional Vicinity Aggregation Graph Neural Network for Point Cloud Classification
Walczak Jakub and Najgebauer Patryk and Scherer Rafał and Wojciechowski Adam, CVA-GNN: Convolutional Vicinity Aggregation Graph Neural Network for Point Cloud Classification, IEEE, 1-8, 2021, Cites: 0
Design and Implementation of Autonomous Path Planning for Intelligent Vehicle
Wei Wei and Fan Gao and Rafał Scherer and Robertas Damasevicius and Dawid Połap, Design and Implementation of Autonomous Path Planning for Intelligent Vehicle, Journal of Internet Technology, 5, 957-965, 2021, Cites: 0
Grid-Based Concise Hash for Solar Images
Rafał Grycuk and Rafał Scherer, Grid-Based Concise Hash for Solar Images, Springer, Cham, 242-254, 2021, Cites: 0
Research on Decision Tree Based on Rough Set
Wei Wei and Mingwei Hui and Beibei Zhang and Rafal Scherer and Robertas Damaševičius, Research on Decision Tree Based on Rough Set, Journal of Internet Technology, 6, 1385-1394, 2021, Cites: 0
Hardware implementation of a Takagi-Sugeno neuro-fuzzy system optimized by a population algorithm
Piotr Dziwinski, Andrzej Przybył, Paweł Trippner, Józef Paszkowski, Yoichi Hayashi, 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
A New Statistical Iterative Reconstruction Algorithm for a CT Scanner with Flying Focal Spot
Robert Cierniak and Piotr Pluta, A New Statistical Iterative Reconstruction Algorithm for a CT Scanner with Flying Focal Spot, Springer, Cham, 431-441, 2021, Cites: 0
The Streaming Approach to Training Restricted Boltzmann Machines
Piotr Duda and Leszek Rutkowski and Piotr Woldan and Patryk Najgebauer, The Streaming Approach to Training Restricted Boltzmann Machines, Springer, Cham, 308-317, 2021, Cites: 0
Vicinity-Based Abstraction: VA-DGCNN Architecture for Noisy 3D Indoor Object Classification
Jakub Walczak and Adam Wojciechowski and Patryk Najgebauer and Rafał Scherer, Vicinity-Based Abstraction: VA-DGCNN Architecture for Noisy 3D Indoor Object Classification, Springer, Cham, 229-241, 2021, Cites: 0
Population Management Approaches in the OPn Algorithm
Krystian Łapa and Krzysztof Cpałka and Adam Słowik, Population Management Approaches in the OPn Algorithm, Springer, Cham, 402-414, 2021, Cites: 0
A population-based algorithm with the selection of evaluation precision and size of the population
Krzysztof Cpałka and Adam Słowik and Krystian Łapa, A population-based algorithm with the selection of evaluation precision and size of the population, Elsevier, Applied Soft Computing, 108154, 2021, Cites: 0
Spatial-Temporal-Fusion BNN: Variational Bayesian Feature Layer
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, arXiv preprint arXiv:2112.06281, 2021, Cites: 0
Dynamic Signature Vertical Partitioning Using Selected Population-Based Algorithms
Marcin Zalasiński and Tacjana Niksa-Rynkiewicz and Krzysztof Cpałka, Dynamic Signature Vertical Partitioning Using Selected Population-Based Algorithms, Springer, Cham, 511-518, 2021, Cites: 0
Solar Image Hashing by Intermediate Descriptor and Autoencoder
Rafal Grycuk and Rafal Scherer, Solar Image Hashing by Intermediate Descriptor and Autoencoder, IEEE, 1-8, 2021, Cites: 0
Application of a Neural Network to Generate the Hash Code for a Device Fingerprint
Marcin Gabryel and Milan Kocić, Application of a Neural Network to Generate the Hash Code for a Device Fingerprint, Springer, Cham, 456-463, 2021, Cites: 0
Synchronization of Finite-Field Networks with Time Delays
Wanjie Zhu and Jinde Cao and Xinli Shi and Leszek Rutkowski, Synchronization of Finite-Field Networks with Time Delays, IEEE, IEEE Transactions on Network Science and Engineering, 2021, Cites: 0
A New Interval Type-2 Fuzzy PRISM Algorithm
Łukasz Bartczuk, A New Interval Type-2 Fuzzy PRISM Algorithm, IEEE, 1-6, 2021, Cites: 0
Handwrittenword recognition using fuzzy matching degrees
Michał Wróbel and Janusz T Starczewski and Justyna Fijałkowska and Agnieszka Siwocha and Christian Napoli, Handwrittenword recognition using fuzzy matching degrees, Journal of Artificial Intelligence and Soft Computing Research, 2021, Cites: 0
Sufficient Conditions Analysis of Coverage Algorithm Constructed Positive Definite Tridiagonal Matrices in WSNs
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, Journal of Internet Technology, 4, 735-741, 2021, Cites: 0
Traffic flow prediction based on BP neural network
Tuo Wang and Beibei Zhang and Wei Wei and Robertas Damaševičius and Rafal Scherer, Traffic flow prediction based on BP neural network, IEEE, 15-19, 2021, Cites: 0
Robust Composite Synchronization of Markov Jump Reaction-Diffusion Neural Networks via a Disturbance Observer-Based Method.
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., IEEE Transactions on Cybernetics, 2021, Cites: 0
Fast Imaging Sensor Identification
Jarosław Bernacki and Rafał Scherer, Fast Imaging Sensor Identification, Springer, Cham, 572-584, 2021, Cites: 0
Fingerprint Device Parameter Stability Analysis
Marcin Gabryel and Milan Kocić, Fingerprint Device Parameter Stability Analysis, Springer, Cham, 464-472, 2021, Cites: 0
Apple Packaging Redesign in LuochuanBased on the Concept of Sustainable Packaging
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, IEEE, 614-627, 2021, Cites: 0

2020 (91)

Multimodal brain tumor classification using deep learning and robust feature selection: A machine learning application for radiologists
Muhammad Attique Khan and Imran Ashraf and Majed Alhaisoni and Robertas Damaševičius and Rafal Scherer and Amjad Rehman and Syed Ahmad Chan Bukhari, Multimodal brain tumor classification using deep learning and robust feature selection: A machine learning application for radiologists, Multidisciplinary Digital Publishing Institute, Diagnostics, 8, 565, 2020, Cites: 171
Accurate and fast URL phishing detector: A convolutional neural network approach
Wei Wei and Qiao Ke and Jakub Nowak and Marcin Korytkowski and Rafał Scherer and Marcin Woźniak, Accurate and fast URL phishing detector: A convolutional neural network approach, Elsevier, Computer Networks, 107275, 2020, Cites: 106
Sliding-mode control for slow-sampling singularly perturbed systems subject to Markov jump parameters
Jing Wang and Chengyu Yang and Hao Shen and Jinde Cao and Leszek Rutkowski, Sliding-mode control for slow-sampling singularly perturbed systems subject to Markov jump parameters, IEEE, IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2020, Cites: 90
Synchronization of coupled time-delay neural networks with mode-dependent average dwell time switching
Xinsong Yang and Yang Liu and Jinde Cao and Leszek Rutkowski, Synchronization of coupled time-delay neural networks with mode-dependent average dwell time switching, IEEE, IEEE transactions on neural networks and learning systems, 12, 5483-5496, 2020, Cites: 54
Synchronization of switched discrete-time neural networks via quantized output control with actuator fault
Xinsong Yang and Xiaoxiao Wan and Cheng Zunshui and Jinde Cao and Yang Liu and Leszek Rutkowski, Synchronization of switched discrete-time neural networks via quantized output control with actuator fault, IEEE, IEEE Transactions on Neural Networks and Learning Systems, 2020, Cites: 45
Stream data mining: Algorithms and their probabilistic properties
Leszek Rutkowski and Maciej Jaworski and Piotr Duda, Stream data mining: Algorithms and their probabilistic properties, Springer, 2020, Cites: 37
Pearson Correlation-Based Feature Selection for Document Classification Using Balanced Training
Inzamam Mashood Nasir and Muhammad Attique Khan and Mussarat Yasmin and Jamal Hussain Shah and Marcin Gabryel and Rafał Scherer and Robertas Damaševičius, Pearson Correlation-Based Feature Selection for Document Classification Using Balanced Training, Multidisciplinary Digital Publishing Institute, Sensors, 23, 6793, 2020, Cites: 35
Computer vision methods for fast image classification and retrieval
Rafał Scherer, Computer vision methods for fast image classification and retrieval, Springer International Publishing, 2020, Cites: 26
Modified Harris Hawks Optimizer for Solving Machine Scheduling Problems
Hamza Jouhari and Deming Lei and Mohammed AA Al-qaness and Mohamed Abd Elaziz and Robertas Damaševičius and Marcin Korytkowski and Ahmed A Ewees, Modified Harris Hawks Optimizer for Solving Machine Scheduling Problems, Multidisciplinary Digital Publishing Institute, Symmetry, 9, 1460, 2020, Cites: 22
Efficient image retrieval by fuzzy rules from boosting and metaheuristic
Marcin Korytkowski and Roman Šenkeřík and Magdalena M Scherer and Rafal A Angryk and Miroslaw Kordos and Agnieszka Siwocha, Efficient image retrieval by fuzzy rules from boosting and metaheuristic, Sciendo, Journal of Artificial Intelligence and Soft Computing Research, 2020, Cites: 21
Asymptotic output tracking of probabilistic Boolean control networks
Bingquan Chen and Jinde Cao and Yiping Luo and Leszek Rutkowski, Asymptotic output tracking of probabilistic Boolean control networks, IEEE, IEEE Transactions on Circuits and Systems I: Regular Papers, 8, 2780-2790, 2020, Cites: 21
Penalty Method for Constrained Distributed Quaternion-Variable Optimization
Zicong Xia and Yang Liu and Jianquan Lu and Jinde Cao and Leszek Rutkowski, Penalty Method for Constrained Distributed Quaternion-Variable Optimization, IEEE, IEEE Transactions on Cybernetics, 2020, Cites: 18
Basic concepts of data stream mining
Leszek Rutkowski and Maciej Jaworski and Piotr Duda, Basic concepts of data stream mining, Springer, Cham, 13-33, 2020, Cites: 16
Quality Control of the Continuous Hot Pressing Process of Medium Density Fiberboard Using Fuzzy Failure Mode and Effects Analysis
Yunlei Lv and Yaqiu Liu and Weipeng Jing and Marcin Woźniak and Robertas Damaševičius and Rafał Scherer and Wei Wei, Quality Control of the Continuous Hot Pressing Process of Medium Density Fiberboard Using Fuzzy Failure Mode and Effects Analysis, Multidisciplinary Digital Publishing Institute, Applied Sciences, 13, 4627, 2020, Cites: 16
On training deep neural networks using a streaming approach
Piotr Duda and Maciej Jaworski and Andrzej Cader and Lipo Wang, On training deep neural networks using a streaming approach, Journal of Artificial Intelligence and Soft Computing Research, 2020, Cites: 16
Sampled-data set stabilization of impulsive boolean networks based on a hybrid index model
Lin Lin and Jinde Cao and Shiyong Zhu and Leszek Rutkowski and Guoping Lu, Sampled-data set stabilization of impulsive boolean networks based on a hybrid index model, IEEE, IEEE Transactions on Control of Network Systems, 4, 1859-1869, 2020, Cites: 15
A new auto adaptive fuzzy hybrid particle swarm optimization and genetic algorithm
Piotr Dziwiński and Łukasz Bartczuk and Józef Paszkowski, A new auto adaptive fuzzy hybrid particle swarm optimization and genetic algorithm, Journal of Artificial Intelligence and Soft Computing Research, 2020, Cites: 14
Triangular fuzzy-rough set based fuzzification of fuzzy rule-based systems
Janusz T Starczewski and Piotr Goetzen and Christian Napoli, Triangular fuzzy-rough set based fuzzification of fuzzy rule-based systems, Journal of Artificial Intelligence and Soft Computing Research, 2020, Cites: 12
Browser fingerprint coding methods increasing the effectiveness of user identification in the web traffic
Marcin Gabryel and Konrad Grzanek and Yoichi Hayashi, Browser fingerprint coding methods increasing the effectiveness of user identification in the web traffic, Journal of Artificial Intelligence and Soft Computing Research, 2020, Cites: 12
Rough support vector machine for classification with interval and incomplete data
Robert K Nowicki and Konrad Grzanek and Yoichi Hayashi, Rough support vector machine for classification with interval and incomplete data, Journal of Artificial Intelligence and Soft Computing Research, 2020, Cites: 12
Event-triggered impulsive synchronization of discrete-time coupled neural networks with stochastic perturbations and multiple delays
Huiyuan Li and Jian-an Fang and Xiaofan Li and Leszek Rutkowski and Tingwen Huang, Event-triggered impulsive synchronization of discrete-time coupled neural networks with stochastic perturbations and multiple delays, Pergamon, Neural Networks, 447-460, 2020, Cites: 10
Detecting visual objects by edge crawling
Rafał Grycuk and Adam Wojciechowski and Wei Wei and Agnieszka Siwocha, Detecting visual objects by edge crawling, Journal of Artificial Intelligence and Soft Computing Research, 2020, Cites: 10
Fast image index for database management engines
Rafał Grycuk and Patryk Najgebauer and Miroslaw Kordos and Magdalena M Scherer and Alina Marchlewska, Fast image index for database management engines, Journal of Artificial Intelligence and Soft Computing Research, 2020, Cites: 10
On-line signature partitioning using a population based algorithm
Marcin Zalasiński and Krystian Łapa and Krzysztof Cpałka and Krzysztof Przybyszewski and Gary G Yen, On-line signature partitioning using a population based algorithm, Journal of Artificial Intelligence and Soft Computing Research, 2020, Cites: 9
Nanocomposite for photonics—Nickel pyrophosphate nanocrystals synthesised in silica nanoreactors
Magdalena Laskowska and Iwan Kityk and Oleksandr Pastukh and Mateusz Dulski and Maciej Zubko and Jarosław Jedryka and Krzysztof Cpałka and Piotr M Zieliński and Łukasz Laskowski, Nanocomposite for photonics—Nickel pyrophosphate nanocrystals synthesised in silica nanoreactors, Elsevier, Microporous and Mesoporous Materials, 110435, 2020, Cites: 9
Prediction of Streamflow Based on Dynamic Sliding Window LSTM
Limei Dong and Desheng Fang and Xi Wang and Wei Wei and Robertas Damaševičius and Rafał Scherer and Marcin Woźniak, Prediction of Streamflow Based on Dynamic Sliding Window LSTM, Multidisciplinary Digital Publishing Institute, Water, 11, 3032, 2020, Cites: 9
Event-Triggering Interaction Scheme for Discrete-Time Decentralized Optimization With Nonuniform Step Sizes
Yuming Feng and Wei Zhang and Jiang Xiong and Huaqing Li and Leszek Rutkowski, Event-Triggering Interaction Scheme for Discrete-Time Decentralized Optimization With Nonuniform Step Sizes, IEEE, IEEE transactions on cybernetics, 2020, Cites: 9
Encoder-Decoder Based CNN Structure for Microscopic Image Identification
Dawid Połap and Marcin Wozniak and Marcin Korytkowski and Rafał Scherer, Encoder-Decoder Based CNN Structure for Microscopic Image Identification, Springer, Cham, 301-312, 2020, Cites: 9
A practical statistical approach to the reconstruction problem using a single slice rebinning method
Robert Cierniak and Piotr Pluta and Andrzej Kaźmierczak, A practical statistical approach to the reconstruction problem using a single slice rebinning method, Journal of Artificial Intelligence and Soft Computing Research, 2020, Cites: 8
High-Resolution SAR Image Despeckling Based on Nonlocal Means Filter and Modified AA Model
Qiao Ke and Sun Zeng-guo and Yang Liu and Wei Wei and Marcin Woźniak and Rafał Scherer, High-Resolution SAR Image Despeckling Based on Nonlocal Means Filter and Modified AA Model, Hindawi, Security and Communication Networks, 2020, Cites: 7
A novel drift detection algorithm based on features’ importance analysis in a data streams environment
Piotr Duda and Krzysztof Przybyszewski and Lipo Wang, A novel drift detection algorithm based on features’ importance analysis in a data streams environment, Journal of Artificial Intelligence and Soft Computing Research, 2020, Cites: 6
Evolutionary algorithm with a configurable search mechanism
Krystian Łapa and Krzysztof Cpałka and Łukasz Laskowski and Andrzej Cader and Zhigang Zeng, Evolutionary algorithm with a configurable search mechanism, Journal of Artificial Intelligence and Soft Computing Research, 2020, Cites: 6
Intelligent recommendation of related items based on naive bayes and collaborative filtering combination model
Wei Wei and Zhuo Wang and Changlong Fu and Robertas Damaševičius and Rafal Scherer and Marcin Wožniak, Intelligent recommendation of related items based on naive bayes and collaborative filtering combination model, IOP Publishing, Journal of Physics: Conference Series, 1, 012043, 2020, Cites: 6
Concept Drift Detection Using Autoencoders in Data Streams Processing
Maciej Jaworski and Leszek Rutkowski and Plamen Angelov, Concept Drift Detection Using Autoencoders in Data Streams Processing, Springer, Cham, 124-133, 2020, Cites: 5
Feature detection
Rafał Scherer, Feature detection, Springer, Cham, 7-32, 2020, Cites: 5
Nanostructured Silica with Anchoring Units: The 2D Solid Solvent for Molecules and Metal Ions
Magdalena Laskowska and Oleksandr Pastukh and Andrii Fedorchuk and Mateusz Schabikowski and Paweł Kowalczyk and Marcin Zalasiński and Łukasz Laskowski, Nanostructured Silica with Anchoring Units: The 2D Solid Solvent for Molecules and Metal Ions, Multidisciplinary Digital Publishing Institute, 21, 8137, 2020, Cites: 5
Fingerprinting of URL logs: continuous user authentication from behavioural patterns
Jakub Nowak and Taras Holotyak and Marcin Korytkowski and Rafał Scherer and Slava Voloshynovskiy, Fingerprinting of URL logs: continuous user authentication from behavioural patterns, Springer, Cham, 184-195, 2020, Cites: 5
Decision trees in data stream mining
Leszek Rutkowski and Maciej Jaworski and Piotr Duda, Decision trees in data stream mining, Springer, Cham, 37-50, 2020, Cites: 5
Event-triggered control for output regulation of probabilistic logical systems with delays
Jingyi He and Yang Liu and Jianquan Lu and Jinde Cao and Leszek Rutkowski, Event-triggered control for output regulation of probabilistic logical systems with delays, IEEE, IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2020, Cites: 4
A new approach to descriptors generation for image retrieval by analyzing activations of deep neural network layers
Paweł Staszewski and Maciej Jaworski and Jinde Cao and Leszek Rutkowski, A new approach to descriptors generation for image retrieval by analyzing activations of deep neural network layers, arXiv preprint arXiv:2007.06624, 2020, Cites: 4
Efficient Visual Classification by Fuzzy Rules
Marcin Korytkowski and Rafał Scherer and Dominik Szajerman and Dawid Połap and Marcin Woźniak, Efficient Visual Classification by Fuzzy Rules, IEEE, 1-6, 2020, Cites: 4
Visual Analysis of Computer Game Output Video Stream for Gameplay Metrics
Kamil Kozłowski and Marcin Korytkowski and Dominik Szajerman, Visual Analysis of Computer Game Output Video Stream for Gameplay Metrics, Springer, Cham, 538-552, 2020, Cites: 4
Synthesis in Silica Nanoreactor: Copper Pyrophosphate Quantum Dots and Silver Oxide Nanocrystallites Inside Silica Mezochannels
Łukasz Laskowski and Anna Majtyka-Piłat and Krzysztof Cpałka and Maciej Zubko and Magdalena Laskowska, Synthesis in Silica Nanoreactor: Copper Pyrophosphate Quantum Dots and Silver Oxide Nanocrystallites Inside Silica Mezochannels, Multidisciplinary Digital Publishing Institute, Materials, 9, 2009, 2020, Cites: 4
General Decay Stability for Nonautonomous Neutral Stochastic Systems With Time-Varying Delays and Markovian Switching
Lichao Feng and Lei Liu and Jinde Cao and Leszek Rutkowski and Guoping Lu, General Decay Stability for Nonautonomous Neutral Stochastic Systems With Time-Varying Delays and Markovian Switching, IEEE, IEEE Transactions on Cybernetics, 2020, Cites: 3
Fully convolutional network for removing DCT artefacts from images
Patryk Najgebauer and Rafał Scherer and Leszek Rutkowski, Fully convolutional network for removing DCT artefacts from images, IEEE, 1-8, 2020, Cites: 3
Probabilistic Neural Networks for the Streaming Data Classification
Leszek Rutkowski and Maciej Jaworski and Piotr Duda, Probabilistic Neural Networks for the Streaming Data Classification, Springer, Cham, 245-277, 2020, Cites: 2
FastText and XGBoost Content-Based Classification for Employment Web Scraping
Arkadiusz Talun and Pawel Drozda and Leszek Bukowski and Rafał Scherer, FastText and XGBoost Content-Based Classification for Employment Web Scraping, Springer, Cham, 435-444, 2020, Cites: 2
GhoMR: Multi-Receptive Lightweight Residual Modules for Hyperspectral Classification
Arijit Das and Indrajit Saha and Rafał Scherer, GhoMR: Multi-Receptive Lightweight Residual Modules for Hyperspectral Classification, Multidisciplinary Digital Publishing Institute, Sensors, 23, 6823, 2020, Cites: 2
An algorithm for the evolutionary-fuzzy generation of on-line signature hybrid descriptors
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, Journal of Artificial Intelligence and Soft Computing Research, 3, 173-187, 2020, Cites: 2
Grouping Handwritten Letter Strokes Using a Fuzzy Decision Tree
Michał Wróbel and Janusz T Starczewski and Christian Napoli, Grouping Handwritten Letter Strokes Using a Fuzzy Decision Tree, Springer, Cham, 103-113, 2020, Cites: 2
Image Retrieval and Classification in Relational Databases
Rafał Scherer, Image Retrieval and Classification in Relational Databases, Springer, Cham, 107-136, 2020, Cites: 2
Visual Hybrid Recommendation Systems Based on the Content-Based Filtering
Piotr Woldan and Piotr Duda and Yoichi Hayashi, Visual Hybrid Recommendation Systems Based on the Content-Based Filtering, Springer, Cham, 455-465, 2020, Cites: 2
A pilot study for investigating gait signatures in multi-scenario applications
Sumit Hazra and Priyankar Roy and Anup Nandy and Rafał Scherer, A pilot study for investigating gait signatures in multi-scenario applications, IEEE, 1-10, 2020, Cites: 2
An interpretable fuzzy system in the on-line signature scalable verification
Marcin Zalasiński and Krzysztof Cpałka and Krystian Łapa, An interpretable fuzzy system in the on-line signature scalable verification, IEEE, 1-9, 2020, Cites: 1
Cascade PID Controller Optimization Using Bison Algorithm
Anezka Kazikova and Krystian Łapa and Michal Pluhacek and Roman Senkerik, Cascade PID Controller Optimization Using Bison Algorithm, Springer, Cham, 406-416, 2020, Cites: 1
Artificial Intelligence and Soft Computing: 19th International Conference, ICAISC 2020, Zakopane, Poland, October 12-14, 2020, Proceedings, Part II
Leszek Rutkowski and Rafał Scherer and Marcin Korytkowski and Witold Pedrycz and Ryszard Tadeusiewicz and Jacek M Zurada, Artificial Intelligence and Soft Computing: 19th International Conference, ICAISC 2020, Zakopane, Poland, October 12-14, 2020, Proceedings, Part II, Springer Nature, 2020, Cites: 1
Complex systems and networks with their applications
Jin-de Cao and Yang Liu and Jian-quan Lu and Leszek Rutkowski, Complex systems and networks with their applications, Zhejiang University Press, 195-198, 2020, Cites: 1
Explainable Cluster-Based Rules Generation for Image Retrieval and Classification
Paweł Staszewski and Maciej Jaworski and Leszek Rutkowski and Dacheng Tao, Explainable Cluster-Based Rules Generation for Image Retrieval and Classification, Springer, Cham, 85-94, 2020, Cites: 1
Nonlinear Fuzzy Modelling of Dynamic Objects with Fuzzy Hybrid Particle Swarm Optimization and Genetic Algorithm
Łukasz Bartczuk and Piotr Dziwiński and Piotr Goetzen, Nonlinear Fuzzy Modelling of Dynamic Objects with Fuzzy Hybrid Particle Swarm Optimization and Genetic Algorithm, Springer, Cham, 315-325, 2020, Cites: 1
A Novel Explainable Recommender for Investment Managers
Tomasz Rutkowski and Radosław Nielek and Danuta Rutkowska and Leszek Rutkowski, A Novel Explainable Recommender for Investment Managers, Springer, Cham, 412-422, 2020, Cites: 1
Statistical Iterative Reconstruction Algorithm Based on a Continuous-to-Continuous Model Formulated for Spiral Cone-Beam CT
Robert Cierniak and Piotr Pluta, Statistical Iterative Reconstruction Algorithm Based on a Continuous-to-Continuous Model Formulated for Spiral Cone-Beam CT, Springer, Cham, 613-620, 2020, Cites: 1
On a Streaming Approach for Training Denoising Auto-encoders
Piotr Duda and Lipo Wang, On a Streaming Approach for Training Denoising Auto-encoders, Springer, Cham, 315-324, 2020, Cites: 1
Hybrid Splitting Criteria
Leszek Rutkowski and Maciej Jaworski and Piotr Duda, Hybrid Splitting Criteria, Springer, Cham, 91-113, 2020, Cites: 1
Normal Grouping Density Separation (NGDS): A Novel Object-Driven Indoor Point Cloud Partition Method
Jakub Walczak and Grzegorz Andrzejczak and Rafał Scherer and Adam Wojciechowski, Normal Grouping Density Separation (NGDS): A Novel Object-Driven Indoor Point Cloud Partition Method, Springer, Cham, 100-114, 2020, Cites: 1
Splitting Criteria with the Bias Term
Leszek Rutkowski and Maciej Jaworski and Piotr Duda, Splitting Criteria with the Bias Term, Springer, Cham, 83-89, 2020, Cites: 0
Final Remarks and Challenging Problems
Leszek Rutkowski and Maciej Jaworski and Piotr Duda, Final Remarks and Challenging Problems, Springer, Cham, 323-327, 2020, Cites: 0
A Population-Based Method with Selection of a Search Operator
Krystian Łapa and Krzysztof Cpałka and Tacjana Niksa-Rynkiewicz and Lipo Wang, A Population-Based Method with Selection of a Search Operator, Springer, Cham, 429-444, 2020, Cites: 0
Concluding Remarks and Perspectives in Computer Vision
Rafał Scherer, Concluding Remarks and Perspectives in Computer Vision, Springer, Cham, 137-137, 2020, Cites: 0
Novel Fast Binary Hash for Content-based Solar Image Retrieval
Rafał Grycuk and Rafał Scherer, Novel Fast Binary Hash for Content-based Solar Image Retrieval, IEEE, 1-7, 2020, Cites: 0
Misclassification Error Impurity Measure
Leszek Rutkowski and Maciej Jaworski and Piotr Duda, Misclassification Error Impurity Measure, Springer, Cham, 63-82, 2020, Cites: 0
Regression
Leszek Rutkowski and Maciej Jaworski and Piotr Duda, Regression, Springer, Cham, 309-322, 2020, Cites: 0
Image Indexing Techniques
Rafał Scherer, Image Indexing Techniques, Springer, Cham, 33-82, 2020, Cites: 0
Methods of Searching for Similar Device Fingerprints Using Changes in Unstable Parameters
Marcin Gabryel and Krzysztof Przybyszewski, Methods of Searching for Similar Device Fingerprints Using Changes in Unstable Parameters, Springer, Cham, 325-335, 2020, Cites: 0
Experimental Investigation of Recurrent Neural Network Fractional-Order Sliding Mode Control of Active Power Filter
Bingquan Chen and Jinde Cao and Guoping Lu and Leszek Rutkowski, Experimental Investigation of Recurrent Neural Network Fractional-Order Sliding Mode Control of Active Power Filter, IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS, 11, 2537-2541, 2020, Cites: 0
Research on variable scale algorithm
Wei Wei and MingWei Hui and BeiBei Zhang and Rafal Scherer and Fan Gao and Robertas Damaševičius, Research on variable scale algorithm, IEEE, 316-322, 2020, Cites: 0
General Non-parametric Learning Procedure for Tracking Concept Drift
Leszek Rutkowski and Maciej Jaworski and Piotr Duda, General Non-parametric Learning Procedure for Tracking Concept Drift, Springer, Cham, 155-172, 2020, Cites: 0
Educational Management System
Wei Wei and Xiaowan Li and Beibei Zhang and Xia Liu and Rafal Scherer and Robertas Damaševičius, Educational Management System, IEEE, 53-56, 2020, Cites: 0
Fast iterative image reconstruction method for emission tomography
Robert Cierniak, Fast iterative image reconstruction method for emission tomography, 2020, Cites: 0
Basic Concepts of Probabilistic Neural Networks
Leszek Rutkowski and Maciej Jaworski and Piotr Duda, Basic Concepts of Probabilistic Neural Networks, Springer, Cham, 117-154, 2020, Cites: 0
Design and implementation of forward modeling algorithm for anisotropic seismic waves
Wei Wei and Fan Gao and BeiBei Zhang and Rafal Scherer and Mingwei Hui and Robertas Damasevicius, Design and implementation of forward modeling algorithm for anisotropic seismic waves, IEEE, 341-350, 2020, Cites: 0
Discovering Sequential Patterns by Neural Networks
Jakub Nowak and Marcin Korytkowski and Rafał Scherer, Discovering Sequential Patterns by Neural Networks, IEEE, 1-6, 2020, Cites: 0
The Dynamic Signature Verification Using population-Based Vertical Partitioning
Marcin Zalasiński and Krzysztof Cpałka and Tacjana Niksa-Rynkiewicz, The Dynamic Signature Verification Using population-Based Vertical Partitioning, Springer, Cham, 569-579, 2020, Cites: 0
Job Offer Analysis Using Convolutional and Recurrent Convolutional Networks
Jakub Nowak and Kamila Milkowska and Magdalena Scherer and Arkadiusz Talun and Marcin Korytkowski, Job Offer Analysis Using Convolutional and Recurrent Convolutional Networks, Springer, Cham, 380-387, 2020, Cites: 0
Signature Partitioning Using Selected Population-Based Algorithms
Marcin Zalasiński and Krzysztof Cpałka and Tacjana Niksa-Rynkiewicz and Yoichi Hayashi, Signature Partitioning Using Selected Population-Based Algorithms, Springer, Cham, 480-488, 2020, Cites: 0
The General Procedure of Ensembles Construction in Data Stream Scenarios
Leszek Rutkowski and Maciej Jaworski and Piotr Duda, The General Procedure of Ensembles Construction in Data Stream Scenarios, Springer, Cham, 281-286, 2020, Cites: 0
Splitting Criteria Based on the McDiarmid’s Theorem
Leszek Rutkowski and Maciej Jaworski and Piotr Duda, Splitting Criteria Based on the McDiarmid’s Theorem, Springer, Cham, 51-62, 2020, Cites: 0
Active Region-Based Full-Disc Solar Image Hashing
Rafał Grycuk and Kelton Costa and Rafał Scherer, Active Region-Based Full-Disc Solar Image Hashing, Springer, Cham, 19-30, 2020, Cites: 0
Introduction and Overview of the Main Results of the Book
Leszek Rutkowski and Maciej Jaworski and Piotr Duda, Introduction and Overview of the Main Results of the Book, Springer, Cham, 1-10, 2020, Cites: 0
Novel Methods for Image Description
Rafał Scherer, Novel Methods for Image Description, Springer, Cham, 83-105, 2020, Cites: 0
Nonparametric Regression Models for Data Streams Based on the Generalized Regression Neural Networks
Leszek Rutkowski and Maciej Jaworski and Piotr Duda, Nonparametric Regression Models for Data Streams Based on the Generalized Regression Neural Networks, Springer, Cham, 173-244, 2020, Cites: 0
Online Job Search and Recruitment Platform for College Students Based on SSH
Wei Wei and Bin Wang and Beibei Zhang and Rafal Scherer and Robertas Damaševičius, Online Job Search and Recruitment Platform for College Students Based on SSH, IEEE, 355-358, 2020, Cites: 0

2019 (52)

Constrained quaternion-variable convex optimization: a quaternion-valued recurrent neural network approach
Yang Liu and Yanling Zheng and Jianquan Lu and Jinde Cao and Leszek Rutkowski, Constrained quaternion-variable convex optimization: a quaternion-valued recurrent neural network approach, IEEE, IEEE transactions on neural networks and learning systems, 3, 1022-1035, 2019, Cites: 72
Anti-synchronization in fixed time for discontinuous reaction–diffusion neural networks with time-varying coefficients and time delay
Zengyun Wang and Jinde Cao and Zuowei Cai and Leszek Rutkowski, Anti-synchronization in fixed time for discontinuous reaction–diffusion neural networks with time-varying coefficients and time delay, IEEE, IEEE transactions on cybernetics, 6, 2758-2769, 2019, Cites: 54
Distributed dynamic self-triggered control for uncertain complex networks with Markov switching topologies and random time-varying delay
Xuegang Tan and Jinde Cao and Leszek Rutkowski, Distributed dynamic self-triggered control for uncertain complex networks with Markov switching topologies and random time-varying delay, IEEE, IEEE Transactions on Network Science and Engineering, 3, 1111-1120, 2019, Cites: 39
A New Hybrid Particle Swarm Optimization and Genetic Algorithm Method Controlled by Fuzzy Logic
Piotr Dziwiński and Łukasz Bartczuk, A New Hybrid Particle Swarm Optimization and Genetic Algorithm Method Controlled by Fuzzy Logic, IEEE, IEEE Transactions on Fuzzy Systems, 2019, Cites: 39
Robust event-triggered control invariance of probabilistic Boolean control networks
Lin Lin and Jinde Cao and Leszek Rutkowski, Robust event-triggered control invariance of probabilistic Boolean control networks, IEEE, IEEE transactions on neural networks and learning systems, 3, 1060-1065, 2019, Cites: 33
Hemigen: human embryo image generator based on generative adversarial networks
Darius Dirvanauskas and Rytis Maskeliūnas and Vidas Raudonis and Robertas Damaševičius and Rafal Scherer, Hemigen: human embryo image generator based on generative adversarial networks, Multidisciplinary Digital Publishing Institute, Sensors, 16, 3578, 2019, Cites: 28
Distributed dynamic self-triggered impulsive control for consensus networks: The case of impulse gain with normal distribution
Xuegang Tan and Jinde Cao and Leszek Rutkowski and Guoping Lu, Distributed dynamic self-triggered impulsive control for consensus networks: The case of impulse gain with normal distribution, IEEE, IEEE transactions on cybernetics, 2019, Cites: 24
On explainable fuzzy recommenders and their performance evaluation
Tomasz Rutkowski and Krystian Łapa and Radosław Nielek, On explainable fuzzy recommenders and their performance evaluation, International Journal of Applied Mathematics and Computer Science, 3, 2019, Cites: 20
Lyapunov Functions for the Set Stability and the Synchronization of Boolean Control Networks
Bingquan Chen and Jinde Cao and Guoping Lu and Leszek Rutkowski, Lyapunov Functions for the Set Stability and the Synchronization of Boolean Control Networks, IEEE, IEEE Transactions on Circuits and Systems II: Express Briefs, 11, 2537-2541, 2019, Cites: 20
Meta-optimization of Multi-objective Population-based Algorithms using Multi-objective Performance Metrics
Krystian Łapa, Meta-optimization of Multi-objective Population-based Algorithms using Multi-objective Performance Metrics, Elsevier, Information Sciences, 193-204, 2019, Cites: 11
On explainable flexible fuzzy recommender and its performance evaluation using the akaike information criterion
Tomasz Rutkowski and Krystian Łapa and Maciej Jaworski and Radosław Nielek and Danuta Rutkowska, On explainable flexible fuzzy recommender and its performance evaluation using the akaike information criterion, Springer, Cham, 717-724, 2019, Cites: 11
Resource-aware data stream mining using the Restricted Boltzmann Machine
Maciej Jaworski and Leszek Rutkowski and Piotr Duda and Andrzej Cader, Resource-aware data stream mining using the Restricted Boltzmann Machine, Springer, Cham, 384-396, 2019, Cites: 10
Inertia-based Fast Vectorization of Line Drawings
Patryk Najgebauer and Rafał Scherer, Inertia-based Fast Vectorization of Line Drawings, https://diglib.eg.org/handle/10.1111/cgf13829?show=full, 7, 203-213, 2019, Cites: 9
Multipopulation Nature-Inspired Algorithm (MNIA) for the Designing of Interpretable Fuzzy Systems
Adam Słowik and Krzysztof Cpałka and Krystian Łapa, Multipopulation Nature-Inspired Algorithm (MNIA) for the Designing of Interpretable Fuzzy Systems, IEEE, IEEE Transactions on Fuzzy Systems, 6, 1125-1139, 2019, Cites: 9
Distributed image retrieval with colour and keypoint features
Michał Ła̧giewka and Marcin Korytkowski and Rafal Scherer, Distributed image retrieval with colour and keypoint features, Taylor & Francis, Journal of Information and Telecommunication, 4, 430-445, 2019, Cites: 8
On explainable recommender systems based on fuzzy rule generation techniques
Tomasz Rutkowski and Krystian Łapa and Robert Nowicki and Radosław Nielek and Konrad Grzanek, On explainable recommender systems based on fuzzy rule generation techniques, Springer, Cham, 358-372, 2019, Cites: 7
The dynamically modified BoW algorithm used in assessing clicks in online ads
Marcin Gabryel and Krzysztof Przybyszewski, The dynamically modified BoW algorithm used in assessing clicks in online ads, Springer, Cham, 350-360, 2019, Cites: 5
Hybrid multi-population based approach for controllers structure and parameters selection
Krystian Łapa and Krzysztof Cpałka and Józef Paszkowski, Hybrid multi-population based approach for controllers structure and parameters selection, Springer, Cham, 456-468, 2019, Cites: 5
Optimal Control on Finite-Time Consensus of the Leader-Following Stochastic Multiagent System With Heuristic Method
Shaosheng Xu and Jinde Cao and Qingshan Liu and Leszek Rutkowski, Optimal Control on Finite-Time Consensus of the Leader-Following Stochastic Multiagent System With Heuristic Method, IEEE, IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2019, Cites: 5
Rough Set-Based Classification Systems
Robert K Nowicki, Rough Set-Based Classification Systems, Springer, 2019, Cites: 5
Algorithm Based on Population with a Flexible Search Mechanism
Krystian Łapa and Krzysztof Cpałka and Marcin Zalasiński, Algorithm Based on Population with a Flexible Search Mechanism, IEEE, IEEE Access, 132253-132270, 2019, Cites: 4
Application of spiking neural networks to fashion classification
Piotr Opiełka and Janusz T Starczewski and Michał Wróbel and Katarzyna Nieszporek and Alina Marchlewska, Application of spiking neural networks to fashion classification, Springer, Cham, 172-180, 2019, Cites: 4
Rough set theory fundamentals
Robert K Nowicki, Rough set theory fundamentals, Springer, Cham, 7-16, 2019, Cites: 4
Exponential stabilization for hybrid recurrent neural networks by delayed noises rooted in discrete observations of state and mode
Lichao Feng and Jinde Cao and Jun Hu and Zhihui Wu and Leszek Rutkowski, Exponential stabilization for hybrid recurrent neural networks by delayed noises rooted in discrete observations of state and mode, Springer US, Neural Processing Letters, 3, 2797-2819, 2019, Cites: 4
Multilayer Architecture for Content-based Image Retrieval Systems
Rafal Grycuk and Patryk Najgebauer and Robert Nowicki and Rafal Scherer, Multilayer Architecture for Content-based Image Retrieval Systems, IEEE, 119-126, 2019, Cites: 4
A new hybrid particle swarm optimization and evolutionary algorithm
Piotr Dziwiński and Łukasz Bartczuk and Piotr Goetzen, A new hybrid particle swarm optimization and evolutionary algorithm, Springer, Cham, 432-444, 2019, Cites: 4
The method of predicting changes of a dynamic signature using possibilities of population-based algorithms
Marcin Zalasiński and Krystian Łapa and Krzysztof Cpałka and Alina Marchlewska, The method of predicting changes of a dynamic signature using possibilities of population-based algorithms, Springer, Cham, 540-549, 2019, Cites: 3
Intelligent Approach to the Prediction of Changes in Biometric Attributes
Marcin Zalasiński and Krystian Łapa and Magdalena Laskowska, Intelligent Approach to the Prediction of Changes in Biometric Attributes, IEEE, IEEE Transactions on Fuzzy Systems, 6, 1073-1083, 2019, Cites: 3
Rough Nearest Neighbour Classifier
Robert K Nowicki, Rough Nearest Neighbour Classifier, Springer, Cham, 133-159, 2019, Cites: 3
A greedy algorithm for extraction of handwritten strokes
Michał Wróbel and Janusz T Starczewski and Katarzyna Nieszporek and Piotr Opiełka and Andrzej Kaźmierczak, A greedy algorithm for extraction of handwritten strokes, Springer, Cham, 464-473, 2019, Cites: 2
On handling missing values in data stream mining algorithms based on the restricted Boltzmann machine
Maciej Jaworski and Piotr Duda and Danuta Rutkowska and Leszek Rutkowski, On handling missing values in data stream mining algorithms based on the restricted Boltzmann machine, Springer, Cham, 347-354, 2019, Cites: 2
Software framework for fast image retrieval
Rafal Grycuk and Rafal Scherer, Software framework for fast image retrieval, IEEE, 588-593, 2019, Cites: 2
URL-based Phishing Attack Detection by Convolutional Neural Network
Jakub Nowak and Marcin Korytkowski and Marcin Wozniak and Patryk Najgebauer and Rafal Scherer, URL-based Phishing Attack Detection by Convolutional Neural Network, 2, 60-67, 2019, Cites: 2
URL-based Phishing Attack Detection by Convolutional Neural Networks.
Jakub Nowak and Marcin Korytkowski and Marcin Wozniak and Rafal Scherer, URL-based Phishing Attack Detection by Convolutional Neural Networks., Aust. J. Intell. Inf. Process. Syst., 2, 60-67, 2019, Cites: 2
Microscopic sample segmentation by fully convolutional network for parasite detection
Patryk Najgebauer and Rafał Grycuk and Leszek Rutkowski and Rafał Scherer and Agnieszka Siwocha, Microscopic sample segmentation by fully convolutional network for parasite detection, Springer, Cham, 164-171, 2019, Cites: 2
On the Hermite Series-Based Generalized Regression Neural Networks for Stream Data Mining
Danuta Rutkowska and Leszek Rutkowski, On the Hermite Series-Based Generalized Regression Neural Networks for Stream Data Mining, Springer, Cham, 437-448, 2019, Cites: 2
Fuzzy-rough Fuzzification in General FL Classifiers.
Janusz T Starczewski and Robert K Nowicki and Katarzyna Nieszporek, Fuzzy-rough Fuzzification in General FL Classifiers., 335-342, 2019, Cites: 2
Convolutional recurrent neural networks for computer network analysis
Jakub Nowak and Marcin Korytkowski and Rafał Scherer, Convolutional recurrent neural networks for computer network analysis, Springer, Cham, 747-757, 2019, Cites: 1
Extended Possibilistic Fuzzification for Classification.
Robert K Nowicki and Janusz T Starczewski and Rafal Grycuk, Extended Possibilistic Fuzzification for Classification., 343-350, 2019, Cites: 1
Rough Fuzzy Classification Systems
Robert K Nowicki, Rough Fuzzy Classification Systems, Springer, Cham, 17-70, 2019, Cites: 1
Rough Neural Network Classifier
Robert K Nowicki, Rough Neural Network Classifier, Springer, Cham, 95-132, 2019, Cites: 1
Sequential Data Mining of Network Traffic in URL Logs
Marcin Korytkowski and Jakub Nowak and Robert Nowicki and Kamila Milkowska and Magdalena Scherer and Piotr Goetzen, Sequential Data Mining of Network Traffic in URL Logs, Springer, Cham, 125-130, 2019, Cites: 1
Iterative Statistical Reconstruction Algorithm Based on CC Data Model with the Direct Use of Projections Performed in Spiral Cone-Beam CT Scanners
Robert Cierniak and Piotr Pluta, Iterative Statistical Reconstruction Algorithm Based on CC Data Model with the Direct Use of Projections Performed in Spiral Cone-Beam CT Scanners, Springer, Cham, 56-66, 2019, Cites: 0
Fuzzy Rough Classification Systems
Robert K Nowicki, Fuzzy Rough Classification Systems, Springer, Cham, 71-93, 2019, Cites: 0
Corrigendum to ‘How to adjust an ensemble size in stream data mining?’Information Sciences, vol. 381 (2017), pp. 46-54
Lena Pietruczuk and Leszek Rutkowski and Maciej Jaworski and Piotr Duda, Corrigendum to ‘How to adjust an ensemble size in stream data mining?’Information Sciences, vol. 381 (2017), pp. 46-54, Elsevier, Information Sciences, 545, 2019, Cites: 0
Realizations of the Statistical Reconstruction Method Based on the Continuous-to-Continuous Data Model
Robert Cierniak and Jarosław Bilski and Piotr Pluta and Zbigniew Filutowicz, Realizations of the Statistical Reconstruction Method Based on the Continuous-to-Continuous Data Model, Springer, Cham, 149-156, 2019, Cites: 0
Discovering Sequences in Systems Logs by Neural Networks
Jakub Nowak and Marcin Korytkowski and Marcin Wozniak and Rafal Scherer, Discovering Sequences in Systems Logs by Neural Networks, 2, 69-76, 2019, Cites: 0
Discovering Sequences in Systems Logs by Neural Networks.
Jakub Nowak and Marcin Korytkowski and Marcin Wozniak and Rafal Scherer, Discovering Sequences in Systems Logs by Neural Networks., Aust. J. Intell. Inf. Process. Syst., 2, 69-76, 2019, Cites: 0
On Proper Designing of Deep Structures for Image Classification
Piotr Woldan and Paweł Staszewski and Leszek Rutkowski and Konrad Grzanek, On Proper Designing of Deep Structures for Image Classification, Springer, Cham, 223-235, 2019, Cites: 0
EM-ML algorithm based on continuous-to-continuous model for PET
Robert Cierniak and Piotr Dobosz and Andrzej Grzybowski, EM-ML algorithm based on continuous-to-continuous model for PET, International Society for Optics and Photonics, 1107236, 2019, Cites: 0
Artificial Intelligence and Soft Computing: 18th International Conference, ICAISC 2019, Zakopane, Poland, June 16–20, 2019, Proceedings, Part II
Leszek Rutkowski and Rafał Scherer and Marcin Korytkowski and Witold Pedrycz and Ryszard Tadeusiewicz and Jacek M Zurada, Artificial Intelligence and Soft Computing: 18th International Conference, ICAISC 2019, Zakopane, Poland, June 16–20, 2019, Proceedings, Part II, Springer, 2019, Cites: 0
Ensembles of Rough Set–Based Classifiers
Robert K Nowicki, Ensembles of Rough Set–Based Classifiers, Springer, Cham, 161-184, 2019, Cites: 0

2018 (35)

A content-based recommendation system using neuro-fuzzy approach
Tomasz Rutkowski and Jakub Romanowski and Piotr Woldan and Paweł Staszewski and Radosław Nielek and Leszek Rutkowski, A content-based recommendation system using neuro-fuzzy approach, IEEE, 1-8, 2018, Cites: 41
On the Parzen kernel-based probability density function learning procedures over time-varying streaming data with applications to pattern classification
Piotr Duda and Leszek Rutkowski and Maciej Jaworski and Danuta Rutkowska, On the Parzen kernel-based probability density function learning procedures over time-varying streaming data with applications to pattern classification, IEEE, IEEE transactions on cybernetics, 4, 1683-1696, 2018, Cites: 36
Knowledge discovery in data streams with the orthogonal series-based generalized regression neural networks
Piotr Duda and Maciej Jaworski and Leszek Rutkowski, Knowledge discovery in data streams with the orthogonal series-based generalized regression neural networks, Elsevier, Information Sciences, 497-518, 2018, Cites: 30
Convergent time-varying regression models for data streams: Tracking concept drift by the recursive Parzen-based generalized regression neural networks
Piotr Duda and Maciej Jaworski and Leszek Rutkowski, Convergent time-varying regression models for data streams: Tracking concept drift by the recursive Parzen-based generalized regression neural networks, World Scientific Publishing Company, International journal of neural systems, 02, 1750048, 2018, Cites: 30
The Bag-of-Words Method with Different Types of Image Features and Dictionary Analysis.
Marcin Gabryel, The Bag-of-Words Method with Different Types of Image Features and Dictionary Analysis., J. UCS, 4, 357-371, 2018, Cites: 19
Data analysis algorithm for click fraud recognition
Marcin Gabryel, Data analysis algorithm for click fraud recognition, Springer, Cham, 437-446, 2018, Cites: 17
Prediction of values of the dynamic signature features
Marcin Zalasiński and Krystian Łapa and Krzysztof Cpałka, Prediction of values of the dynamic signature features, Pergamon, Expert Systems with Applications, 86-96, 2018, Cites: 16
New aspects of interpretability of fuzzy systems for nonlinear modeling
Krystian Łapa and Krzysztof Cpałka and Leszek Rutkowski, New aspects of interpretability of fuzzy systems for nonlinear modeling, Springer, Cham, 225-264, 2018, Cites: 15
Genetic programming algorithm for designing of control systems
Krzysztof Cpalka and Krystian Łapa and Andrzej Przybył, Genetic programming algorithm for designing of control systems, Information Technology and Control, 4, 668-683, 2018, Cites: 13
A new method for signature verification based on selection of the most important partitions of the dynamic signature
Marcin Zalasiński and Krzysztof Cpałka, A new method for signature verification based on selection of the most important partitions of the dynamic signature, Elsevier, Neurocomputing, 13-22, 2018, Cites: 12
Multi-objective evolutionary instance selection for regression tasks
Mirosław Kordos and Krystian Łapa, Multi-objective evolutionary instance selection for regression tasks, Multidisciplinary Digital Publishing Institute, Entropy, 10, 746, 2018, Cites: 11
Concept drift detection in streams of labelled data using the restricted Boltzmann machine
Maciej Jaworski and Piotr Duda and Leszek Rutkowski, Concept drift detection in streams of labelled data using the restricted Boltzmann machine, IEEE, 1-7, 2018, Cites: 10
Random forests for profiling computer network users
Jakub Nowak and Marcin Korytkowski and Robert Nowicki and Rafał Scherer and Agnieszka Siwocha, Random forests for profiling computer network users, Springer, Cham, 734-739, 2018, Cites: 10
Negative space-based population initialization algorithm (NSPIA)
Krystian Łapa and Krzysztof Cpałka and Andrzej Przybył and Konrad Grzanek, Negative space-based population initialization algorithm (NSPIA), Springer, Cham, 449-461, 2018, Cites: 10
Online GRNN-based ensembles for regression on evolving data streams
Piotr Duda and Maciej Jaworski and Leszek Rutkowski, Online GRNN-based ensembles for regression on evolving data streams, Springer, Cham, 221-228, 2018, Cites: 9
Fuzzy-genetic approach to identity verification using a handwritten signature
Marcin Zalasiński and Krzysztof Cpałka and Leszek Rutkowski, Fuzzy-genetic approach to identity verification using a handwritten signature, Springer, Cham, 375-394, 2018, Cites: 9
Hard real-time communication solution for mechatronic systems
A. Przybył, Hard real-time communication solution for mechatronic systems, Elsevier Ltd., Robotics and Computer-Integrated Manufacturing, 309-316, 2018, Cites: 8
Application of the bag-of-words algorithm in classification the quality of sales leads
Marcin Gabryel and Robertas Damaševičius and Krzysztof Przybyszewski, Application of the bag-of-words algorithm in classification the quality of sales leads, Springer, Cham, 615-622, 2018, Cites: 8
Advances in Data Analysis with Computational Intelligence Methods
Adam E Gaweda and Janusz Kacprzyk and Leszek Rutkowski and Gary G Yen, Advances in Data Analysis with Computational Intelligence Methods, Springer, 2018, Cites: 7
Analytical statistical reconstruction algorithm with the direct use of projections performed in spiral cone-beam scanners
R Cierniak, 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
A fuzzy measure for recognition of handwritten letter strokes
Michał Wróbel and Katarzyna Nieszporek and Janusz T Starczewski and Andrzej Cader, A fuzzy measure for recognition of handwritten letter strokes, Springer, Cham, 761-770, 2018, Cites: 5
A population based algorithm and fuzzy decision trees for nonlinear modeling
Piotr Dziwiński and Łukasz Bartczuk and Krzysztof Przybyszewski, A population based algorithm and fuzzy decision trees for nonlinear modeling, Springer, Cham, 516-531, 2018, Cites: 4
Classification of computer network users with convolutional neural networks
Jakub Nowak and Marcin Korytkowski and Rafal Scherer, Classification of computer network users with convolutional neural networks, IEEE, 501-504, 2018, Cites: 4
Rough neural network ensemble for interval data classification
Robert K Nowicki and Marcin Korytkowski and Rafal Scherer, Rough neural network ensemble for interval data classification, IEEE, 1-7, 2018, Cites: 4
A fuzzy SOM for understanding incomplete 3d faces
Janusz T Starczewski and Katarzyna Nieszporek and Michał Wróbel and Konrad Grzanek, A fuzzy SOM for understanding incomplete 3d faces, Springer, Cham, 73-80, 2018, Cites: 3
Obtaining pareto front in instance selection with ensembles and populations
Mirosław Kordos and Marcin Wydrzyński and Krystian Łapa, Obtaining pareto front in instance selection with ensembles and populations, Springer, Cham, 438-448, 2018, Cites: 3
On ensemble components selection in data streams scenario with gradual concept-drift
Piotr Duda, On ensemble components selection in data streams scenario with gradual concept-drift, Springer, Cham, 311-320, 2018, Cites: 3
Evolutionary approach for automatic design of PID controllers
Krystian Łapa and Krzysztof Cpałka, Evolutionary approach for automatic design of PID controllers, Springer, Cham, 353-373, 2018, Cites: 2
Fast two-level image indexing based on local interest points
Patryk Najgebauer and Rafal Grycuk and Rafal Scherer, Fast two-level image indexing based on local interest points, IEEE, 613-617, 2018, Cites: 2
Architecture of database index for content-based image retrieval systems
Rafał Grycuk and Patryk Najgebauer and Rafał Scherer and Agnieszka Siwocha, Architecture of database index for content-based image retrieval systems, Springer, Cham, 36-47, 2018, Cites: 2
On the Global Convergence of the Parzen-Based Generalized Regression Neural Networks Applied to Streaming Data
Jinde Cao and Leszek Rutkowski, On the Global Convergence of the Parzen-Based Generalized Regression Neural Networks Applied to Streaming Data, Springer, Cham, 25-34, 2018, Cites: 1
Stability of Features Describing the Dynamic Signature Biometric Attribute
Marcin Zalasiński and Krzysztof Cpałka and Konrad Grzanek, Stability of Features Describing the Dynamic Signature Biometric Attribute, Springer, Cham, 250-261, 2018, Cites: 0
Symbolic Regression with the AMSTA+ GP in a Non-linear Modelling of Dynamic Objects
Łukasz Bartczuk and Piotr Dziwiński and Andrzej Cader, Symbolic Regression with the AMSTA+ GP in a Non-linear Modelling of Dynamic Objects, Springer, Cham, 504-515, 2018, Cites: 0
Analytical Realization of the EM Algorithm for Emission Positron Tomography
Robert Cierniak and Piotr Dobosz and Piotr Pluta and Zbigniew Filutowicz, Analytical Realization of the EM Algorithm for Emission Positron Tomography, Springer, Cham, 127-136, 2018, Cites: 0
Correction to: Analytical Realization of the EM Algorithm for Emission Positron Tomography
Robert Cierniak and Piotr Dobosz and Piotr Pluta and Zbigniew Filutowicz, Correction to: Analytical Realization of the EM Algorithm for Emission Positron Tomography, Springer, Cham, C1-C1, 2018, Cites: 0

2017 (43)

Convolutional neural networks for time series classification
Mariusz Zȩbik and Marcin Korytkowski and Rafal Angryk and Rafał Scherer, Convolutional neural networks for time series classification, Springer, Cham, 635-642, 2017, Cites: 504
LSTM recurrent neural networks for short text and sentiment classification
Jakub Nowak and Ahmet Taspinar and Rafał Scherer, LSTM recurrent neural networks for short text and sentiment classification, Springer, Cham, 553-562, 2017, Cites: 121
New splitting criteria for decision trees in stationary data streams
Maciej Jaworski and Piotr Duda and Leszek Rutkowski, New splitting criteria for decision trees in stationary data streams, IEEE, IEEE transactions on neural networks and learning systems, 6, 2516-2529, 2017, Cites: 88
Design of interpretable fuzzy systems
Krzysztof Cpałka, Design of interpretable fuzzy systems, Springer International Publishing, 2017, Cites: 67
How to adjust an ensemble size in stream data mining?
Lena Pietruczuk and Leszek Rutkowski and Maciej Jaworski and Piotr Duda, How to adjust an ensemble size in stream data mining?, Elsevier, Information Sciences, 46-54, 2017, Cites: 67
The image classification with different types of image features
Marcin Gabryel and Robertas Damaševičius, The image classification with different types of image features, Springer, Cham, 497-506, 2017, Cites: 32
Flexible fuzzy PID controller (FFPIDC) and a nature-inspired method for its construction
Krystian Łapa and Krzysztof Cpałka, Flexible fuzzy PID controller (FFPIDC) and a nature-inspired method for its construction, IEEE, IEEE Transactions on Industrial Informatics, 3, 1078-1088, 2017, Cites: 26
Springer: Cham
L Rutkowski and M Korytkowski and R Scherer and R Tadeusiewicz and L Zadeh and J Zurada, Springer: Cham, Switzerland, 52-63, 2017, Cites: 24
A new method for classification of imprecise data using fuzzy rough fuzzification
Robert K Nowicki and Janusz T Starczewski, A new method for classification of imprecise data using fuzzy rough fuzzification, Elsevier, Information Sciences, 33-52, 2017, Cites: 22
On applying the restricted Boltzmann machine to active concept drift detection
Maciej Jaworski and Piotr Duda and Leszek Rutkowski, On applying the restricted Boltzmann machine to active concept drift detection, IEEE, 1-8, 2017, Cites: 21
Novel visual information indexing in relational databases
Marcin Korytkowski, Novel visual information indexing in relational databases, IOS Press, Integrated Computer-Aided Engineering, 2, 119-128, 2017, Cites: 16
On ensemble components selection in data streams scenario with reoccurring concept-drift
Piotr Duda and Maciej Jaworski and Leszek Rutkowski, On ensemble components selection in data streams scenario with reoccurring concept-drift, IEEE, 1-7, 2017, Cites: 16
Heuristic regression function estimation methods for data streams with concept drift
Maciej Jaworski and Piotr Duda and Leszek Rutkowski and Patryk Najgebauer and Miroslaw Pawlak, Heuristic regression function estimation methods for data streams with concept drift, Springer, Cham, 726-737, 2017, Cites: 12
The concept on nonlinear modelling of dynamic objects based on state transition algorithm and genetic programming
Łukasz Bartczuk and Piotr Dziwiński and Vladimir G Red’ko, The concept on nonlinear modelling of dynamic objects based on state transition algorithm and genetic programming, Springer, Cham, 209-220, 2017, Cites: 10
Handwriting recognition with extraction of letter fragments
Michal Wróbel and Janusz T Starczewski and Christian Napoli, Handwriting recognition with extraction of letter fragments, Springer, Cham, 183-192, 2017, Cites: 10
Comparison of effectiveness of multi-objective genetic algorithms in optimization of invertible s-boxes
Tomasz Kapuściński and Robert K Nowicki and Christian Napoli, Comparison of effectiveness of multi-objective genetic algorithms in optimization of invertible s-boxes, Springer, Cham, 466-476, 2017, Cites: 8
Advances in Data Analysis with Computational Intelligence Methods: Dedicated to Professor Jacek urada
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, Springer Publishing Company, Incorporated, 2017, Cites: 7
Advances in data analysis with computational intelligence methods: dedicated to Professor Jacek Żurada
Adam E Gawęda and Janusz Kacprzyk and Leszek Rutkowski and Gary G Yen, Advances in data analysis with computational intelligence methods: dedicated to Professor Jacek Żurada, Springer, 2017, Cites: 6
The bag-of-words method with dictionary analysis by evolutionary algorithm
Marcin Gabryel and Giacomo Capizzi, The bag-of-words method with dictionary analysis by evolutionary algorithm, Springer, Cham, 43-51, 2017, Cites: 6
A method for non-linear modelling based on the capabilities of PSO and GA algorithms
Piotr Dziwiński and Łukasz Bartczuk and Huang Tingwen, A method for non-linear modelling based on the capabilities of PSO and GA algorithms, Springer, Cham, 221-232, 2017, Cites: 5
Fuzzy PID controllers with FIR filtering and a method for their construction
Krystian Łapa and Krzysztof Cpałka and Andrzej Przybył and Takamichi Saito, Fuzzy PID controllers with FIR filtering and a method for their construction, Springer, Cham, 292-307, 2017, Cites: 5
Environment Recognition based on Images using Bag-of-Words.
Taurius Petraitis and Rytis Maskeliunas and Robertas Damasevicius and Dawid Polap and Marcin Wozniak and Marcin Gabryel, Environment Recognition based on Images using Bag-of-Words., 166-176, 2017, Cites: 5
Interest point localization based on edge detection according to gestalt laws
Patryk Najgebauer and Leszek Rutkowski and Rafal Scherer, Interest point localization based on edge detection according to gestalt laws, IEEE, 349-353, 2017, Cites: 4
A method for genetic selection of the most characteristic descriptors of the dynamic signature
Marcin Zalasiński and Krzysztof Cpałka and Yoichi Hayashi, A method for genetic selection of the most characteristic descriptors of the dynamic signature, Springer, Cham, 747-760, 2017, Cites: 4
Novel method for joining missing line fragments for medical image analysis
Patryk Najgebauer and Leszek Rutkowski and Rafal Scherer, Novel method for joining missing line fragments for medical image analysis, IEEE, 861-866, 2017, Cites: 4
The bag-of-words methods with pareto-fronts for similar image retrieval
Marcin Gabryel, The bag-of-words methods with pareto-fronts for similar image retrieval, Springer, Cham, 374-384, 2017, Cites: 4
Hybrid initialization in the process of evolutionary learning
Krystian Łapa and Krzysztof Cpałka and Yoichi Hayashi, Hybrid initialization in the process of evolutionary learning, Springer, Cham, 380-393, 2017, Cites: 4
A method for nonlinear fuzzy modelling using population based algorithm with flexibly selectable operators
Krystian Łapa and Krzysztof Cpałka and Lipo Wang, A method for nonlinear fuzzy modelling using population based algorithm with flexibly selectable operators, Springer, Cham, 263-278, 2017, Cites: 3
A method for genetic selection of the dynamic signature global features’ subset
Marcin Zalasiński and Krzysztof Cpałka, A method for genetic selection of the dynamic signature global features’ subset, Springer, Cham, 73-82, 2017, Cites: 3
Stability evaluation of the dynamic signature partitions over time
Marcin Zalasiński and Krzysztof Cpałka and Meng Joo Er, Stability evaluation of the dynamic signature partitions over time, Springer, Cham, 733-746, 2017, Cites: 3
A method for changes prediction of the dynamic signature global features over time
Marcin Zalasiński and Krystian Łapa and Krzysztof Cpałka and Takamichi Saito, A method for changes prediction of the dynamic signature global features over time, Springer, Cham, 761-772, 2017, Cites: 3
Elastic FOPID+ FIR Controller Design Using Hybrid Population-Based Algorithm
Krystian Łapa, Elastic FOPID+ FIR Controller Design Using Hybrid Population-Based Algorithm, Springer, Cham, 15-26, 2017, Cites: 3
Detection of saliency map as image feature outliers using random projections based method
Robertas Damaševičius and Rytis Maskeliūnas and Marcin Woźniak and Dawid Polap and Tatjana Sidekerskienė and Marcin Gabryel, Detection of saliency map as image feature outliers using random projections based method, IEEE, 85-90, 2017, Cites: 3
Environment scene classification based on images using bag-of-words
Taurius Petraitis and Rytis Maskeliūnas and Robertas Damaševičius and Dawid Połap and Marcin Woźniak and Marcin Gabryel, Environment scene classification based on images using bag-of-words, Springer, Cham, 281-303, 2017, Cites: 2
Population-based algorithm with selectable evolutionary operators for nonlinear modeling
Krystian Łapa, Population-based algorithm with selectable evolutionary operators for nonlinear modeling, Springer, Cham, 15-26, 2017, Cites: 2
A Method for Design of Hardware Emulators for a Distributed Network Environment
Andrzej Przybył and Meng Joo Er, A Method for Design of Hardware Emulators for a Distributed Network Environment, Springer, Cham, 318-336, 2017, Cites: 1
Parallel realizations of the iterative statistical reconstruction algorithm for 3D computed tomography
Robert Cierniak and Jarosław Bilski and Jacek Smola̧g and Piotr Pluta and Nimit Shah, Parallel realizations of the iterative statistical reconstruction algorithm for 3D computed tomography, Springer, Cham, 473-484, 2017, Cites: 1
Local keypoint-based image detector with object detection
Rafał Grycuk and Magdalena Scherer and Sviatoslav Voloshynovskiy, Local keypoint-based image detector with object detection, Springer, Cham, 507-517, 2017, Cites: 1
PID-fuzzy controllers with dynamic structure and evolutionary method for their construction
Krystian Łapa and Krzysztof Cpałka, PID-fuzzy controllers with dynamic structure and evolutionary method for their construction, Springer, Cham, 138-148, 2017, Cites: 1
NARX Neural Network for Prediction of Refresh Timeout in PIM–DM Multicast Routing
Nataliia Vladymyrska and Michał Wróbel and Janusz T Starczewski and Viktoriia Hnatushenko, NARX Neural Network for Prediction of Refresh Timeout in PIM–DM Multicast Routing, Springer, Cham, 199-205, 2017, Cites: 0
A New Algorithm for Online Management of Fuzzy Rules Base for Nonlinear Modeling
Krystian Łapa, A New Algorithm for Online Management of Fuzzy Rules Base for Nonlinear Modeling, Springer, Cham, 15-28, 2017, Cites: 0
Performance Evaluation of DBN Learning on Intel Multi-and Manycore Architectures
Tomasz Olas and Wojciech K Mleczko and Marcin Wozniak and Robert K Nowicki and Pawel Gepner, Performance Evaluation of DBN Learning on Intel Multi-and Manycore Architectures, Springer, Cham, 565-575, 2017, Cites: 0
Weighted Fuzzy Genetic Programming Algorithm for Structure and Parameters Selection of Fuzzy Systems for Nonlinear Modelling
Krystian Łapa and Krzysztof Cpałka, Weighted Fuzzy Genetic Programming Algorithm for Structure and Parameters Selection of Fuzzy Systems for Nonlinear Modelling, Springer, Cham, 157-174, 2017, Cites: 0

2016 (54)

Fast image classification by boosting fuzzy classifiers
Marcin Korytkowski and Leszek Rutkowski and Rafał Scherer, Fast image classification by boosting fuzzy classifiers, Elsevier, Information Sciences, 175-182, 2016, Cites: 148
A new algorithm for identity verification based on the analysis of a handwritten dynamic signature
Krzysztof Cpałka and Marcin Zalasiński and Leszek Rutkowski, A new algorithm for identity verification based on the analysis of a handwritten dynamic signature, Elsevier, Applied soft computing, 47-56, 2016, Cites: 97
A new approach to nonlinear modelling of dynamic systems based on fuzzy rules
Łukasz Bartczuk and Andrzej Przybył and Krzysztof Cpałka, A new approach to nonlinear modelling of dynamic systems based on fuzzy rules, International Journal of Applied Mathematics and Computer Science, 2016, Cites: 39
Preprocessing large data sets by the use of quick sort algorithm
Marcin Woźniak and Zbigniew Marszałek and Marcin Gabryel and Robert K Nowicki, Preprocessing large data sets by the use of quick sort algorithm, Springer, Cham, 111-121, 2016, Cites: 28
An idea of the dynamic signature verification based on a hybrid approach
Marcin Zalasiński and Krzysztof Cpałka and Elisabeth Rakus-Andersson, An idea of the dynamic signature verification based on a hybrid approach, Springer, Cham, 232-246, 2016, Cites: 28
A method for automatic adjustment of ensemble size in stream data mining
Lena Pietruczuk and Leszek Rutkowski and Maciej Jaworski and Piotr Duda, A method for automatic adjustment of ensemble size in stream data mining, IEEE, 9-15, 2016, Cites: 26
New algorithm for on-line signature verification using characteristic hybrid partitions
Marcin Zalasiński and Krzysztof Cpałka, New algorithm for on-line signature verification using characteristic hybrid partitions, Springer, Cham, 147-157, 2016, Cites: 24
Gene expression programming in correction modelling of nonlinear dynamic objects
Łukasz Bartczuk, Gene expression programming in correction modelling of nonlinear dynamic objects, Springer, Cham, 125-134, 2016, Cites: 19
A new approach to the dynamic signature verification aimed at minimizing the number of global features
Marcin Zalasiński and Krzysztof Cpałka and Yoichi Hayashi, A new approach to the dynamic signature verification aimed at minimizing the number of global features, Springer, Cham, 218-231, 2016, Cites: 19
New algorithm for on-line signature verification using characteristic global features
Marcin Zalasiński, New algorithm for on-line signature verification using characteristic global features, Springer, Cham, 137-146, 2016, Cites: 18
An application of firefly algorithm to position traffic in NoSQL database systems
Marcin Woźniak and Marcin Gabryel and Robert K Nowicki and Bartosz A Nowak, An application of firefly algorithm to position traffic in NoSQL database systems, Springer, Cham, 259-272, 2016, Cites: 18
The bag-of-features algorithm for practical applications using the MySQL database
Marcin Gabryel, The bag-of-features algorithm for practical applications using the MySQL database, Springer, Cham, 635-646, 2016, Cites: 18
Content-based image retrieval optimization by differential evolution
Rafał Grycuk and Marcin Gabryel and Robert Nowicki and Rafał Scherer, Content-based image retrieval optimization by differential evolution, IEEE, 86-93, 2016, Cites: 18
A bag-of-features algorithm for applications using a NoSQL database
Marcin Gabryel, A bag-of-features algorithm for applications using a NoSQL database, Springer, Cham, 332-343, 2016, Cites: 16
On the application of a hybrid genetic-firework algorithm for controllers structure and parameters selection
Krystian Łapa and Krzysztof Cpałka, On the application of a hybrid genetic-firework algorithm for controllers structure and parameters selection, Springer, Cham, 111-123, 2016, Cites: 16
The method of hardware implementation of fuzzy systems on FPGA
Andrzej Przybył and Meng Joo Er, The method of hardware implementation of fuzzy systems on FPGA, Springer, Cham, 284-298, 2016, Cites: 15
Application of genetic algorithms in the construction of invertible substitution boxes
Tomasz Kapuściński and Robert K Nowicki and Christian Napoli, Application of genetic algorithms in the construction of invertible substitution boxes, Springer, Cham, 380-391, 2016, Cites: 13
A new method of the intelligent modeling of the nonlinear dynamic objects with fuzzy detection of the operating points
Piotr Dziwiński and Eduard D Avedyan, A new method of the intelligent modeling of the nonlinear dynamic objects with fuzzy detection of the operating points, Springer, Cham, 293-305, 2016, Cites: 13
Application of rough sets in k nearest neighbours algorithm for classification of incomplete samples
Robert K Nowicki and Bartosz A Nowak and Marcin Woźniak, Application of rough sets in k nearest neighbours algorithm for classification of incomplete samples, Springer, Cham, 243-257, 2016, Cites: 13
A new method for generating of fuzzy rules for the nonlinear modelling based on semantic genetic programming
Łukasz Bartczuk and Krystian Łapa and Petia Koprinkova-Hristova, A new method for generating of fuzzy rules for the nonlinear modelling based on semantic genetic programming, Springer, Cham, 262-278, 2016, Cites: 12
Self organizing maps for 3D face understanding
Janusz T Starczewski and Sebastian Pabiasz and Natalia Vladymyrska and Antonino Marvuglia and Christian Napoli and Marcin Woźniak, Self organizing maps for 3D face understanding, Springer, Cham, 210-217, 2016, Cites: 11
Novel rough neural network for classification with missing data
Robert K Nowicki and Rafal Scherer and Leszek Rutkowski, Novel rough neural network for classification with missing data, IEEE, 820-825, 2016, Cites: 10
Image descriptor based on edge detection and crawler algorithm
Rafał Grycuk and Marcin Gabryel and Magdalena Scherer and Sviatoslav Voloshynovskiy, Image descriptor based on edge detection and crawler algorithm, Springer, Cham, 647-659, 2016, Cites: 10
Transient Solution for Queueing Delay Distribution in the GI/M/1/K-type Mode with “Queued” Waking up and Balking
Wojciech M Kempa and Marcin Woźniak and Robert K Nowicki and Marcin Gabryel and Robertas Damaševicius, Transient Solution for Queueing Delay Distribution in the GI/M/1/K-type Mode with “Queued” Waking up and Balking, Springer, Cham, 340-351, 2016, Cites: 9
Estimating CPU features by browser fingerprinting
Takamichi Saito and Koki Yasuda and Takayuki Ishikawa and Rio Hosoi and Kazushi Takahashi and Yongyan Chen and Marcin Zalasiński, Estimating CPU features by browser fingerprinting, IEEE, 587-592, 2016, Cites: 8
New method for fuzzy nonlinear modelling based on genetic programming
Krystian Łapa and Krzysztof Cpałka and Petia Koprinkova-Hristova, New method for fuzzy nonlinear modelling based on genetic programming, Springer, Cham, 432-449, 2016, Cites: 7
Comparison of algebraic and analytical approaches to the formulation of the statistical model-based reconstruction problem for X-ray computed tomography
Robert Cierniak and Anna Lorent, Comparison of algebraic and analytical approaches to the formulation of the statistical model-based reconstruction problem for X-ray computed tomography, Pergamon, Computerized Medical Imaging and Graphics, 19-27, 2016, Cites: 7
A new approach for using the fuzzy decision trees for the detection of the significant operating points in the nonlinear modeling
Piotr Dziwiński and Eduard D Avedyan, A new approach for using the fuzzy decision trees for the detection of the significant operating points in the nonlinear modeling, Springer, Cham, 279-292, 2016, Cites: 6
A new method for generating nonlinear correction models of dynamic objects based on semantic genetic programming
Łukasz Bartczuk and Alexander I Galushkin, A new method for generating nonlinear correction models of dynamic objects based on semantic genetic programming, Springer, Cham, 249-261, 2016, Cites: 6
Aspects of evolutionary construction of new flexible PID-fuzzy controller
Krystian Łapa and Jacek Szczypta and Takamichi Saito, Aspects of evolutionary construction of new flexible PID-fuzzy controller, Springer, Cham, 450-464, 2016, Cites: 6
Novel visual object descriptor using surf and clustering algorithms
Rafał Grycuk, Novel visual object descriptor using surf and clustering algorithms, Journal of Applied Mathematics and Computational Mechanics, 3, 2016, Cites: 6
A new approach to designing of intelligent emulators working in a distributed environment
Andrzej Przybył and Meng Joo Er, A new approach to designing of intelligent emulators working in a distributed environment, Springer, Cham, 546-558, 2016, Cites: 6
Rough restricted boltzmann machine–new architecture for incomplete input data
Wojciech K Mleczko and Robert K Nowicki and Rafał Angryk, Rough restricted boltzmann machine–new architecture for incomplete input data, Springer, Cham, 114-125, 2016, Cites: 5
Method of evolutionary designing of FPGA-based controllers
Andrzej Przybył and Jacek Szczypta, Method of evolutionary designing of FPGA-based controllers, Przegląd Elektrotechniczny, 174-179, 2016, Cites: 5
Hybrid splitting criterion in decision trees for data stream mining
Maciej Jaworski and Leszek Rutkowski and Miroslaw Pawlak, Hybrid splitting criterion in decision trees for data stream mining, Springer, Cham, 60-72, 2016, Cites: 5
Query-by-example image retrieval in microsoft SQL server
Paweł Staszewski and Piotr Woldan and Marcin Korytkowski and Rafał Scherer and Lipo Wang, Query-by-example image retrieval in microsoft SQL server, Springer, Cham, 746-754, 2016, Cites: 4
New approach for interpretability of neuro-fuzzy systems with parametrized triangular norms
Krystian Łapa and Krzysztof Cpałka and Lipo Wang, New approach for interpretability of neuro-fuzzy systems with parametrized triangular norms, Springer, Cham, 248-265, 2016, Cites: 4
Fast iterative image reconstruction method for 3D computed tomography
Robert Cierniak, Fast iterative image reconstruction method for 3D computed tomography, 2016, Cites: 3
Nonlinear pattern classification using fuzzy system and hybrid genetic-imperialist algorithm
Krystian Łapa and Krzysztof Cpałka, Nonlinear pattern classification using fuzzy system and hybrid genetic-imperialist algorithm, Springer, Cham, 159-171, 2016, Cites: 3
The method of the evolutionary designing the elastic controller structure
Andrzej Przybył and Krystian Łapa and Jacek Szczypta and Lipo Wang, The method of the evolutionary designing the elastic controller structure, Springer, Cham, 476-492, 2016, Cites: 3
A novel convolutional neural network with Glial cells
Marcin Korytkowski, A novel convolutional neural network with Glial cells, Springer, Cham, 670-679, 2016, Cites: 3
On the Cesàro-Means-Based Orthogonal Series Approach to Learning Time-Varying Regression Functions
Adam Krzyzak Piotr Duda and Lena Pietruczuk and Maciej Jaworski, On the Cesàro-Means-Based Orthogonal Series Approach to Learning Time-Varying Regression Functions, Springer, Cham, 37-48, 2016, Cites: 2
Neural video compression based on SURF scene change detection algorithm
Rafał Grycuk and Michał Knop, Neural video compression based on SURF scene change detection algorithm, Springer, Cham, 105-112, 2016, Cites: 2
Fast computing framework for convolutional neural networks
Marcin Korytkowski and Pawel Staszewski and Piotr Woldan and Rafal Scherer, Fast computing framework for convolutional neural networks, IEEE, 118-123, 2016, Cites: 2
Aspects of structure selection and parameters tuning of control systems using hybrid genetic-fruit fly algorithm
Jacek Szczypta and Krystian Łapa, Aspects of structure selection and parameters tuning of control systems using hybrid genetic-fruit fly algorithm, Springer, Cham, 101-110, 2016, Cites: 2
Artificial Intelligence and Soft Computing: 15th International Conference, ICAISC 2016, Zakopane, Poland, June 12-16, 2016, Proceedings, Part II
Leszek Rutkowski and Marcin Korytkowski and Rafał Scherer and Ryszard Tadeusiewicz and Lotfi A Zadeh and Jacek M Zurada, Artificial Intelligence and Soft Computing: 15th International Conference, ICAISC 2016, Zakopane, Poland, June 12-16, 2016, Proceedings, Part II, Springer, 2016, Cites: 2
New approach for nonlinear modelling based on online designing of the fuzzy rule base
Krystian Łapa and Krzysztof Cpałka and Yoichi Hayashi, New approach for nonlinear modelling based on online designing of the fuzzy rule base, Springer, Cham, 230-247, 2016, Cites: 2
Novel image descriptor based on color spatial distribution
Patryk Najgebauer and Marcin Korytkowski and Carlos D Barranco and Rafal Scherer, Novel image descriptor based on color spatial distribution, Springer, Cham, 712-722, 2016, Cites: 1
On the Application of Orthogonal Series Density Estimation for Image Classification Based on Feature Description
Piotr Duda and Maciej Jaworski and Lena Pietruczuk and Marcin Korytkowski and Marcin Gabryel and Rafał Scherer, On the Application of Orthogonal Series Density Estimation for Image Classification Based on Feature Description, Springer, Cham, 529-540, 2016, Cites: 1
Color-based large-scale image retrieval with limited hardware resources
Michał Łagiewka and Rafał Scherer and Rafal Angryk, Color-based large-scale image retrieval with limited hardware resources, Springer, Cham, 689-699, 2016, Cites: 1
Regularization Methods for the Analytical Statistical Reconstruction Problem in Medical Computed Tomography
Robert Cierniak and Anna Lorent and Piotr Pluta and Nimit Shah, Regularization Methods for the Analytical Statistical Reconstruction Problem in Medical Computed Tomography, Springer, Cham, 147-158, 2016, Cites: 1
Preprocessing Large Data Sets by the Use of Quick Sort Algorithm
Marcin Wo'zniak and Zbigniew Marszalek and Marcin Gabryel and Robert K Nowicki, Preprocessing Large Data Sets by the Use of Quick Sort Algorithm, 111-121, 2016, Cites: 0
Fast Image Search by Trees of Keypoint Descriptors
Patryk Najgebauer and Rafał Scherer, Fast Image Search by Trees of Keypoint Descriptors, Springer, Cham, 541-552, 2016, Cites: 0
Analytical Statistical Approach for Fan-Beam Scanners
Robert Cierniak, Analytical Statistical Approach for Fan-Beam Scanners, Springer, Cham, 231-243, 2016, Cites: 0

2015 (34)

A new approach to design of control systems using genetic programming
Krzysztof Cpalka and Krystian Łapa and Andrzej Przybył, A new approach to design of control systems using genetic programming, Information technology and control, 4, 433-442, 2015, Cites: 44
Multi-class nearest neighbour classifier for incomplete data handling
Bartosz A Nowak and Robert K Nowicki and Marcin Woźniak and Christian Napoli, Multi-class nearest neighbour classifier for incomplete data handling, Springer, Cham, 469-480, 2015, Cites: 38
Toward work groups classification based on probabilistic neural network approach
Christian Napoli and Giuseppe Pappalardo and Emiliano Tramontana and Robert K Nowicki and Janusz T Starczewski and Marcin Woźniak, Toward work groups classification based on probabilistic neural network approach, Springer, Cham, 79-89, 2015, Cites: 33
New fast algorithm for the dynamic signature verification using global features values
Marcin Zalasiński and Krzysztof Cpałka and Yoichi Hayashi, New fast algorithm for the dynamic signature verification using global features values, Springer, Cham, 175-188, 2015, Cites: 33
Can we process 2d images using artificial bee colony?
Marcin Woźniak and Dawid Połap and Marcin Gabryel and Robert K Nowicki and Christian Napoli and Emiliano Tramontana, Can we process 2d images using artificial bee colony?, Springer, Cham, 660-671, 2015, Cites: 32
Novel approach toward medical signals classifier
Marcin Wózniak and Dawid Połap and Robert K Nowicki and Christian Napoli and Giuseppe Pappalardo and Emiliano Tramontana, Novel approach toward medical signals classifier, IEEE, 1-7, 2015, Cites: 30
A multiscale image compressor with rbfnn and discrete wavelet decomposition
Marcin Wozniak and Christian Napoli and Emiliano Tramontana and Giacomo Capizzi and Grazia Lo Sciuto and Robert K Nowicki and Janusz T Starczewski, A multiscale image compressor with rbfnn and discrete wavelet decomposition, IEEE, 1-7, 2015, Cites: 29
An application of differential evolution to positioning queueing systems
Marcin Gabryel and Marcin Woźniak and Robertas Damaševičius, An application of differential evolution to positioning queueing systems, Springer, Cham, 379-390, 2015, Cites: 24
Multi-layer architecture for storing visual data based on WCF and microsoft SQL server database
Rafał Grycuk and Marcin Gabryel and Rafał Scherer and Sviatoslav Voloshynovskiy, Multi-layer architecture for storing visual data based on WCF and microsoft SQL server database, Springer, Cham, 715-726, 2015, Cites: 23
Aspects of structure and parameters selection of control systems using selected multi-population algorithms
Krystian Łapa and Jacek Szczypta and Rajasekar Venkatesan, Aspects of structure and parameters selection of control systems using selected multi-population algorithms, Springer, Cham, 247-260, 2015, Cites: 22
Rough deep belief network-application to incomplete handwritten digits pattern classification
Wojciech K Mleczko and Tomasz Kapuściński and Robert K Nowicki, Rough deep belief network-application to incomplete handwritten digits pattern classification, Springer, Cham, 400-411, 2015, Cites: 19
A new approach to nonlinear modeling based on significant operating points detection
Piotr Dziwiński and Eduard D Avedyan, A new approach to nonlinear modeling based on significant operating points detection, Springer, Cham, 364-378, 2015, Cites: 18
A new method for the dynamic signature verification based on the stable partitions of the signature
Marcin Zalasiński and Krzysztof Cpałka and Meng Joo Er, A new method for the dynamic signature verification based on the stable partitions of the signature, Springer, Cham, 161-174, 2015, Cites: 17
Image indexing and retrieval using GSOM algorithm
Marcin Gabryel and Rafał Grycuk and Marcin Korytkowski and Taras Holotyak, Image indexing and retrieval using GSOM algorithm, Springer, Cham, 706-714, 2015, Cites: 17
Video key frame detection based on SURF algorithm
Rafał Grycuk and Michał Knop and Sayantan Mandal, Video key frame detection based on SURF algorithm, Springer, Cham, 566-576, 2015, Cites: 13
New image descriptor from edge detector and blob extractor
Rafał Grycuk and Rafał Scherer and Marcin Gabryel, New image descriptor from edge detector and blob extractor, Journal of Applied Mathematics and Computational Mechanics, 4, 31--39, 2015, Cites: 12
Bag-of-features image indexing and classification in Microsoft SQL server relational database
Marcin Korytkowski and Rafał Scherer and Paweł Staszewski and Piotr Woldan, Bag-of-features image indexing and classification in Microsoft SQL server relational database, IEEE, 478-482, 2015, Cites: 12
A new interpretability criteria for neuro-fuzzy systems for nonlinear classification
Krystian Łapa and Krzysztof Cpałka and Alexander I Galushkin, A new interpretability criteria for neuro-fuzzy systems for nonlinear classification, Springer, Cham, 448-468, 2015, Cites: 11
New method for non-linear correction modelling of dynamic objects with genetic programming
Łukasz Bartczuk and Andrzej Przybył and Petia Koprinkova-Hristova, New method for non-linear correction modelling of dynamic objects with genetic programming, Springer, Cham, 318-329, 2015, Cites: 9
On the application of fourier series density estimation for image classification based on feature description
Piotr Duda and Maciej Jaworski and Lena Pietruczuk and Rafa l Scherer and Marcin Korytkowski and Marcin Gabryel, On the application of fourier series density estimation for image classification based on feature description, Looking into the Future of Creativity and Decision Support Systems Proceedings of the 8 th International Conference on Knowledge, Information, 2015, Cites: 7
Adaptation of RBM learning for intel MIC architecture
Tomasz Olas and Wojciech K Mleczko and Robert K Nowicki and Roman Wyrzykowski and Adam Krzyzak, Adaptation of RBM learning for intel MIC architecture, Springer, Cham, 90-101, 2015, Cites: 6
Adaptation of deep belief networks to modern multicore architectures
Tomasz Olas and Wojciech K Mleczko and Robert K Nowicki and Roman Wyrzykowski, Adaptation of deep belief networks to modern multicore architectures, Springer, Cham, 459-472, 2015, Cites: 6
SOM vs FCM vs PCA in 3d face recognition
Sebastian Pabiasz and Janusz T Starczewski and Antonino Marvuglia, SOM vs FCM vs PCA in 3d face recognition, Springer, Cham, 120-129, 2015, Cites: 6
Secure representation of images using multi-layer compression
Sohrab Ferdowsi and Sviatoslav Voloshynovskiy and Dimche Kostadinov and Marcin Korytkowski and Rafał Scherer, Secure representation of images using multi-layer compression, Springer, Cham, 696-705, 2015, Cites: 5
Optimization of controller structure using evolutionary algorithm
Andrzej Przybył and Jacek Szczypta and Lipo Wang, Optimization of controller structure using evolutionary algorithm, Springer, Cham, 261-271, 2015, Cites: 5
Computed tomography images denoising with Markov Random Field model parametrized by Prewitt mask
Michał Knas and Robert Cierniak, Computed tomography images denoising with Markov Random Field model parametrized by Prewitt mask, Springer, Cham, 53-58, 2015, Cites: 4
Design methodology for rough neuro-fuzzy classification with missing data
Robert K Nowicki and Marcin Korytkowski and Bartosz A Nowak and Rafal Scherer, Design methodology for rough neuro-fuzzy classification with missing data, IEEE, 1650-1657, 2015, Cites: 4
Efficient bone detector and geometric descriptor for x-ray imaging
Jakub Romanowski and Marcin Korytkowski and Rafal Scherer, Efficient bone detector and geometric descriptor for x-ray imaging, IEEE, 1337-1342, 2015, Cites: 1
Supervised Transform Learning for Face Recognition
Dimche Kostadinov and Sviatoslav Voloshynovskiy and Sohrab Ferdowsi and Maurits Diephuis and Rafał Scherer, Supervised Transform Learning for Face Recognition, Springer, Cham, 737-746, 2015, Cites: 1
Tree representation of image key point descriptors
Patryk Najgebauer and Marcin Gabryel and Marcin Korytkowski and Rafa l Scherer, Tree representation of image key point descriptors, Looking into the Future of Creativity and Decision Support Systems Proceedings of the 8 th International Conference on Knowledge, Information, 2015, Cites: 1
Software Framework for Modular Machine Learning Systems
Marcin Korytkowski and Magdalena Scherer and Sohrab Ferdowsi, Software Framework for Modular Machine Learning Systems, Springer, Cham, 760-767, 2015, Cites: 0
Fast dictionary matching for content-based image retrieval
Patryk Najgebauer and Janusz Rygał and Tomasz Nowak and Jakub Romanowski and Leszek Rutkowski and Sviatoslav Voloshynovskiy and Rafał Scherer, Fast dictionary matching for content-based image retrieval, Springer, Cham, 747-756, 2015, Cites: 0
Customization of Joint Articulations Using Soft Computing Methods
Arkadiusz Szarek and Marcin Korytkowski and Leszek Rutkowski and Magdalena Scherer and Janusz Szyprowski and Dimce Kostadinov, Customization of Joint Articulations Using Soft Computing Methods, Springer, Cham, 151-160, 2015, Cites: 0
An Edge Detection Using 2D Gaussian Function in Computed Tomography
Michal Knas and Robert Cierniak and Olga Rebrova, An Edge Detection Using 2D Gaussian Function in Computed Tomography, Springer, Cham, 586-593, 2015, Cites: 0

2014 (43)

The CART decision tree for mining data streams
Leszek Rutkowski and Maciej Jaworski and Lena Pietruczuk and Piotr Duda, The CART decision tree for mining data streams, Elsevier, Information Sciences, 1-15, 2014, Cites: 300
A new method for data stream mining based on the misclassification error
Leszek Rutkowski and Maciej Jaworski and Lena Pietruczuk and Piotr Duda, A new method for data stream mining based on the misclassification error, IEEE, IEEE transactions on neural networks and learning systems, 5, 1048-1059, 2014, Cites: 118
New method for the on-line signature verification based on horizontal partitioning
Krzysztof Cpałka and Marcin Zalasiński and Leszek Rutkowski, New method for the on-line signature verification based on horizontal partitioning, Pergamon, Pattern Recognition, 8, 2652-2661, 2014, Cites: 97
On-line signature verification using vertical signature partitioning
Krzysztof Cpałka and Marcin Zalasiński, On-line signature verification using vertical signature partitioning, Pergamon, Expert Systems with Applications, 2014, Cites: 92
A new method for designing neuro-fuzzy systems for nonlinear modelling with interpretability aspects
K Cpałka and K Łapa and A Przybył and M Zalasiński, A new method for designing neuro-fuzzy systems for nonlinear modelling with interpretability aspects, Elsevier, Neurocomputing, 203-217, 2014, Cites: 76
A finite-buffer queue with a single vacation policy: An analytical study with evolutionary positioning
Marcin Woźniak and Wojciech M Kempa and Marcin Gabryel and Robert K Nowicki, A finite-buffer queue with a single vacation policy: An analytical study with evolutionary positioning, International Journal of Applied Mathematics and Computer Science, 4, 2014, Cites: 49
New method for design of fuzzy systems for nonlinear modelling using different criteria of interpretability
Krystian Łapa and Krzysztof Cpałka and Lipo Wang, New method for design of fuzzy systems for nonlinear modelling using different criteria of interpretability, Springer, Cham, 217-232, 2014, Cites: 41
From single image to list of objects based on edge and blob detection
Rafał Grycuk and Marcin Gabryel and Marcin Korytkowski and Rafał Scherer and Sviatoslav Voloshynovskiy, From single image to list of objects based on edge and blob detection, Springer, Cham, 605-615, 2014, Cites: 39
New method for dynamic signature verification using hybrid partitioning
Marcin Zalasiński and Krzysztof Cpałka and Meng Joo Er, New method for dynamic signature verification using hybrid partitioning, Springer, Cham, 216-230, 2014, Cites: 39
On applying evolutionary computation methods to optimization of vacation cycle costs in finite-buffer queue
Marcin Woźniak and Wojciech M Kempa and Marcin Gabryel and Robert K Nowicki and Zhifei Shao, On applying evolutionary computation methods to optimization of vacation cycle costs in finite-buffer queue, Springer, Cham, 480-491, 2014, Cites: 38
Centroid of triangular and Gaussian type-2 fuzzy sets
Janusz T Starczewski, Centroid of triangular and Gaussian type-2 fuzzy sets, Elsevier, Information Sciences, 289-306, 2014, Cites: 37
New method for dynamic signature verification based on global features
Marcin Zalasiński and Krzysztof Cpałka and Yoichi Hayashi, New method for dynamic signature verification based on global features, Springer, Cham, 231-245, 2014, Cites: 36
A new algorithm for identification of significant operating points using swarm intelligence
Piotr Dziwiński and Łukasz Bartczuk and Andrzej Przybył and Eduard D Avedyan, A new algorithm for identification of significant operating points using swarm intelligence, Springer, Cham, 349-362, 2014, Cites: 32
Content-based image indexing by data clustering and inverse document frequency
Rafał Grycuk and Marcin Gabryel and Marcin Korytkowski and Rafał Scherer, Content-based image indexing by data clustering and inverse document frequency, Springer, Cham, 374-383, 2014, Cites: 31
New method for nonlinear fuzzy correction modelling of dynamic objects
Łukasz Bartczuk and Andrzej Przybył and Petia Koprinkova-Hristova, New method for nonlinear fuzzy correction modelling of dynamic objects, Springer, Cham, 169-180, 2014, Cites: 26
A novel application of hoeffding's inequality to decision trees construction for data streams
Piotr Duda and Maciej Jaworski and Lena Pietruczuk and Leszek Rutkowski, A novel application of hoeffding's inequality to decision trees construction for data streams, IEEE, 3324-3330, 2014, Cites: 18
Aspects of the selection of the structure and parameters of controllers using selected population based algorithms
Jacek Szczypta and Krystian Łapa and Zhifei Shao, Aspects of the selection of the structure and parameters of controllers using selected population based algorithms, Springer, Cham, 440-454, 2014, Cites: 18
An analytical iterative statistical algorithm for image reconstruction from projections
Robert Cierniak, An analytical iterative statistical algorithm for image reconstruction from projections, International Journal of Applied Mathematics and Computer Science, 1, 2014, Cites: 16
Evolutionary approach with multiple quality criteria for controller design
Jacek Szczypta and Andrzej Przybył and Lipo Wang, Evolutionary approach with multiple quality criteria for controller design, Springer, Cham, 455-467, 2014, Cites: 12
The Parzen kernel approach to learning in non-stationary environment
Lena Pietruczuk and Leszek Rutkowski and Maciej Jaworski and Piotr Duda, The Parzen kernel approach to learning in non-stationary environment, IEEE, 3319-3323, 2014, Cites: 12
The idea for the integration of neuro-fuzzy hardware emulators with real-time network
Andrzej Przybył and Meng Joo Er, The idea for the integration of neuro-fuzzy hardware emulators with real-time network, Springer, Cham, 279-294, 2014, Cites: 12
The learning of neuro-fuzzy approximator with fuzzy rough sets in case of missing features
Robert K Nowicki and Bartosz A Nowak and Janusz T Starczewski and Krzysztof Cpałka, The learning of neuro-fuzzy approximator with fuzzy rough sets in case of missing features, IEEE, 3759-3766, 2014, Cites: 10
The learning of neuro-fuzzy classifier with fuzzy rough sets for imprecise datasets
Bartosz A Nowak and Robert K Nowicki and Janusz T Starczewski and Antonino Marvuglia, The learning of neuro-fuzzy classifier with fuzzy rough sets for imprecise datasets, Springer, Cham, 256-266, 2014, Cites: 10
Rough k nearest neighbours for classification in the case of missing input data
Robert Nowicki and Bartosz A Nowak and Marcin Woźniak, Rough k nearest neighbours for classification in the case of missing input data, 196–207, 2014, Cites: 9
Genetic fuzzy classifier with fuzzy rough sets for imprecise data
Janusz T Starczewski and Robert K Nowicki and Bartosz A Nowak, Genetic fuzzy classifier with fuzzy rough sets for imprecise data, IEEE, 1382-1389, 2014, Cites: 9
Video compression algorithm based on neural network structures
Michal Knop and Robert Cierniak and Nimit Shah, Video compression algorithm based on neural network structures, Springer, Cham, 715-724, 2014, Cites: 9
A new three-dimensional facial landmarks in recognition
Sebastian Pabiasz and Janusz T Starczewski and Antonino Marvuglia, A new three-dimensional facial landmarks in recognition, Springer, Cham, 179-186, 2014, Cites: 7
Spatial keypoint representation for visual object retrieval
Tomasz Nowak and Patryk Najgebauer and Jakub Romanowski and Marcin Gabryel and Marcin Korytkowski and Rafał Scherer and Dimce Kostadinov, Spatial keypoint representation for visual object retrieval, Springer, Cham, 639-650, 2014, Cites: 6
Content-based image retrieval by dictionary of local feature descriptors
Patryk Najgebauer and Tomasz Nowak and Jakub Romanowski and Marcin Gabryel and Marcin Korytkowski and Rafał Scherer, Content-based image retrieval by dictionary of local feature descriptors, IEEE, 512-517, 2014, Cites: 6
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
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, Springer, 2014, Cites: 5
A novel approach to position traffic in nosql database systems by the use of firefly algorithm
Marcin Woźniak and Marcin Gabryel and Robert Konrad Nowicki and Bartosz Antoni Nowak, A novel approach to position traffic in nosql database systems by the use of firefly algorithm, Proceedings of the 9th International Conference on Knowledge, Information and Creativity Support Systems, 2014, Cites: 4
Multi-class Classification: A Coding Based Space Partitioning
Sohrab Ferdowsi and Sviatoslav Voloshynovskiy and Marcin Gabryel and Marcin Korytkowski, Multi-class Classification: A Coding Based Space Partitioning, Springer, Cham, 593-604, 2014, Cites: 3
Regularized image reconstruction from projections method
Anna Lorent and Robert Cierniak, Regularized image reconstruction from projections method, IEEE, 82-86, 2014, Cites: 3
Intelligent Systems' 2014: Proceedings of the 7th IEEE International Conference Intelligent Systems IS’2014, September 24‐26, 2014, Warsaw, Poland, Volume 2: Tools …
D Filev and Jan Jabłkowski and Janusz Kacprzyk and Maciej Krawczak and Ivan Popchev and Leszek Rutkowski and Vassil Sgurev and Evdokia Sotirova and Piotr Szynkarczyk and Slawomir Zadrozny, Intelligent Systems' 2014: Proceedings of the 7th IEEE International Conference Intelligent Systems IS’2014, September 24‐26, 2014, Warsaw, Poland, Volume 2: Tools …, Springer, 2014, Cites: 2
Novel algorithm for translation from image content to semantic form
Janusz Rygał and Jakub Romanowski and Rafał Scherer and Sohrab Ferdowsi, Novel algorithm for translation from image content to semantic form, Springer, Cham, 783-792, 2014, Cites: 2
Robust face recognition by group sparse representation that uses samples from list of subjects
Dimche Kostadinov and Sviatoslav Voloshynovskiy and Sohrab Ferdowsi and Maurits Diephuis and Rafał Scherer, Robust face recognition by group sparse representation that uses samples from list of subjects, Springer, Cham, 616-626, 2014, Cites: 2
Ultrafast iterative model-based statistical 3D reconstruction algorithm for x-ray computed tomography
Robert Cierniak and Michal Knas, Ultrafast iterative model-based statistical 3D reconstruction algorithm for x-ray computed tomography, Springer, Cham, 187-196, 2014, Cites: 2
Artificial Intelligence and Soft Computing: 13th International Conference, ICAISC 2014, Zakopane, Poland, June 1-5, 2014, Proceedings, Part II
Leszek Rutkowski and Marcin Korytkowski and Rafał Scherer and Ryszard Tadeusiewicz and Lotfi A Zadeh and Jacek M Zurada, Artificial Intelligence and Soft Computing: 13th International Conference, ICAISC 2014, Zakopane, Poland, June 1-5, 2014, Proceedings, Part II, Springer, 2014, Cites: 2
A New Image Reconstruction from Projections Algorithm
Anna Lorent and Robert Cierniak and Piotr Dobosz and Olga Rebrova, A New Image Reconstruction from Projections Algorithm, Springer, Cham, 725-732, 2014, Cites: 1
Artificial Intelligence and Soft Computing: 13th International Conference, ICAISC 2014, Zakopane, Poland, June 1-5, 2014: Proceedings
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, Springer, 2014, Cites: 1
Using of EM Algorithm to Image Reconstruction Problem with Tomography Noises
Piotr Dobosz and Robert Cierniak, Using of EM Algorithm to Image Reconstruction Problem with Tomography Noises, Springer, Heidelberg, 37-43, 2014, Cites: 1
An Intelligent Based Decision Support System for the Detection of Meat Spoilage
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, Springer Nature, 303-310, 2014, Cites: 0
A Modification of the Parallel Spline Interpolation Algorithms
Michał Knas and Robert Cierniak, A Modification of the Parallel Spline Interpolation Algorithms, Springer, Heidelberg, 185-190, 2014, Cites: 0

2013 (30)

Decision trees for mining data streams based on the gaussian approximation
Leszek Rutkowski and Maciej Jaworski and Lena Pietruczuk and Piotr Duda, Decision trees for mining data streams based on the gaussian approximation, IEEE, IEEE Transactions on Knowledge and Data Engineering, 1, 108-119, 2013, Cites: 173
On design of flexible neuro-fuzzy systems for nonlinear modelling
Krzysztof Cpałka and Olga Rebrova and Robert Nowicki and Leszek Rutkowski, On design of flexible neuro-fuzzy systems for nonlinear modelling, Routledge, International Journal of General Systems, 6, 706-720, 2013, Cites: 69
A new approach to designing interpretable models of dynamic systems
Krystian Łapa and Andrzej Przybył and Krzysztof Cpałka, A new approach to designing interpretable models of dynamic systems, Springer, Berlin, Heidelberg, 523-534, 2013, Cites: 45
Advanced concepts in fuzzy logic and systems with membership uncertainty
Janusz T Starczewski, Advanced concepts in fuzzy logic and systems with membership uncertainty, Springer, 2013, Cites: 44
New approach for the on-line signature verification based on method of horizontal partitioning
Marcin Zalasiński and Krzysztof Cpałka, New approach for the on-line signature verification based on method of horizontal partitioning, Springer, Berlin, Heidelberg, 342-350, 2013, Cites: 44
A new method for designing and complexity reduction of neuro-fuzzy systems for nonlinear modelling
Krystian Łapa and Marcin Zalasiński and Krzysztof Cpałka, A new method for designing and complexity reduction of neuro-fuzzy systems for nonlinear modelling, Springer, Berlin, Heidelberg, 329-344, 2013, Cites: 40
Novel algorithm for the on-line signature verification using selected discretization points groups
Marcin Zalasiński and Krzysztof Cpałka, Novel algorithm for the on-line signature verification using selected discretization points groups, Springer, Berlin, Heidelberg, 493-502, 2013, Cites: 37
New algorithm for evolutionary selection of the dynamic signature global features
Marcin Zalasiński and Krystian Łapa and Krzysztof Cpałka, New algorithm for evolutionary selection of the dynamic signature global features, Springer, Berlin, Heidelberg, 113-121, 2013, Cites: 36
Modified merge sort algorithm for large scale data sets
Marcin Woźniak and Zbigniew Marszałek and Marcin Gabryel and Robert K Nowicki, Modified merge sort algorithm for large scale data sets, Springer, Berlin, Heidelberg, 612-622, 2013, Cites: 35
Genetic cost optimization of the GI/M/1/N finite-buffer queue with a single vacation policy
Marcin Gabryel and Robert K Nowicki and Marcin Woźniak and Wojciech M Kempa, Genetic cost optimization of the GI/M/1/N finite-buffer queue with a single vacation policy, Springer, Berlin, Heidelberg, 12-23, 2013, Cites: 33
Some aspects of evolutionary designing optimal controllers
Jacek Szczypta and Andrzej Przybył and Krzysztof Cpałka, Some aspects of evolutionary designing optimal controllers, Springer, Berlin, Heidelberg, 91-100, 2013, Cites: 33
Object detection by simple fuzzy classifiers generated by boosting
Marcin Gabryel and Marcin Korytkowski and Rafał Scherer and Leszek Rutkowski, Object detection by simple fuzzy classifiers generated by boosting, Springer, Berlin, Heidelberg, 540-547, 2013, Cites: 26
Adaptation of decision trees for handling concept drift
Lena Pietruczuk and Piotr Duda and Maciej Jaworski, Adaptation of decision trees for handling concept drift, Springer, Berlin, Heidelberg, 459-473, 2013, Cites: 21
Hybrid state variables-fuzzy logic modelling of nonlinear objects
Łukasz Bartczuk and Andrzej Przybył and Piotr Dziwiński, Hybrid state variables-fuzzy logic modelling of nonlinear objects, Springer, Berlin, Heidelberg, 227-234, 2013, Cites: 19
Improved digital image segmentation based on stereo vision and mean shift algorithm
Rafał Grycuk and Marcin Gabryel and Marcin Korytkowski and Jakub Romanowski and Rafał Scherer, Improved digital image segmentation based on stereo vision and mean shift algorithm, Springer, Berlin, Heidelberg, 433-443, 2013, Cites: 14
Triple heap sort algorithm for large data sets
M Woźniak and Z Marszałek and M Gabryel and RK Nowicki, Triple heap sort algorithm for large data sets, Looking into the Future of Creativity and Decision Support Systems, 657-665, 2013, Cites: 14
On quick sort algorithm performance for large data sets
M Woźniak and Z Marszałek and M Gabryel and RK Nowicki, On quick sort algorithm performance for large data sets, Looking into the Future of Creativity and Decision Support Systems, AMJ Skulimowski, Ed, 7-9, 2013, Cites: 10
A new method of improving classification accuracy of decision tree in case of incomplete samples
Bartosz A Nowak and Robert K Nowicki and Wojciech K Mleczko, A new method of improving classification accuracy of decision tree in case of incomplete samples, Springer, Berlin, Heidelberg, 448-458, 2013, Cites: 9
Neural Networks and Soft Computing: Proceedings of the Sixth International Conference on Neural Network and Soft Computing, Zakopane, Poland, June 11-15, 2002
Leszek Rutkowski, Neural Networks and Soft Computing: Proceedings of the Sixth International Conference on Neural Network and Soft Computing, Zakopane, Poland, June 11-15, 2002, Springer Science & Business Media, 2013, Cites: 8
Video compression algorithm based on neural networks
Robert Cierniak and Michal Knop, Video compression algorithm based on neural networks, Springer, Berlin, Heidelberg, 524-531, 2013, Cites: 7
A new approach to determine three-dimensional facial landmarks
Sebastian Pabiasz and Janusz T Starczewski, A new approach to determine three-dimensional facial landmarks, Springer, Berlin, Heidelberg, 286-296, 2013, Cites: 7
Representation of edge detection results based on graph theory
Patryk Najgebauer and Tomasz Nowak and Jakub Romanowski and Janusz Rygał and Marcin Korytkowski, Representation of edge detection results based on graph theory, Springer, Berlin, Heidelberg, 588-601, 2013, Cites: 5
Artificial Intelligence and Soft Computing: 12th International Conference, ICAISC 2013, Zakopane, Poland, June 9-13, 2013, Proceedings, Part I
Leszek Rutkowski and Marcin Korytkowski and Rafal Scherer and Ryszard Tadeusiewicz and Lotfi A Zadeh and Jacek M Zurada, Artificial Intelligence and Soft Computing: 12th International Conference, ICAISC 2013, Zakopane, Poland, June 9-13, 2013, Proceedings, Part I, Springer, 2013, Cites: 4
A novel graph-based descriptor for object matching
Tomasz Nowak and Patryk Najgebauer and Jakub Rygał and Rafał Scherer, A novel graph-based descriptor for object matching, Springer, Berlin, Heidelberg, 602-612, 2013, Cites: 4
Extraction of objects from images using density of edges as basis for GrabCut algorithm
Janusz Rygał and Patryk Najgebauer and Jakub Romanowski and Rafał Scherer, Extraction of objects from images using density of edges as basis for GrabCut algorithm, Springer, Berlin, Heidelberg, 613-623, 2013, Cites: 4
Comparing images based on histograms of local interest points
Tomasz Nowak and Marcin Gabryel and Marcin Korytkowski and Rafał Scherer, Comparing images based on histograms of local interest points, Springer, Berlin, Heidelberg, 423-432, 2013, Cites: 3
Algebraic Operations on Fuzzy Valued Fuzzy Sets
Janusz T Starczewski, Algebraic Operations on Fuzzy Valued Fuzzy Sets, Springer, Berlin, Heidelberg, 33-76, 2013, Cites: 0
Uncertainty in Fuzzy Sets
Janusz T Starczewski, Uncertainty in Fuzzy Sets, Springer, Berlin, Heidelberg, 1-31, 2013, Cites: 0
Designing Uncertain Fuzzy Logic Systems
Janusz T Starczewski, Designing Uncertain Fuzzy Logic Systems, Springer, Berlin, Heidelberg, 279-304, 2013, Cites: 0
Uncertainty Generation in Uncertain Fuzzy Logic Systems
Janusz T Starczewski, Uncertainty Generation in Uncertain Fuzzy Logic Systems, Springer, Berlin, Heidelberg, 181-277, 2013, Cites: 0

2012 (40)

Decision trees for mining data streams based on the McDiarmid's bound
Leszek Rutkowski and Lena Pietruczuk and Piotr Duda and Maciej Jaworski, Decision trees for mining data streams based on the McDiarmid's bound, IEEE, IEEE Transactions on Knowledge and Data Engineering, 6, 1272-1279, 2012, Cites: 219
Novel on-line speed profile generation for industrial machine tool based on flexible neuro-fuzzy approximation
Krzysztof Cpałka Leszek Rutkowski and Andrzej Przybył, Novel on-line speed profile generation for industrial machine tool based on flexible neuro-fuzzy approximation, IEEE Transactions on Industrial Electronics, 2, 1238-1247, 2012, Cites: 95
Multiple fuzzy classification systems
Rafał Scherer, Multiple fuzzy classification systems, Springer, 2012, Cites: 51
Novel algorithm for the on-line signature verification
Marcin Zalasiński and Krzysztof Cpałka, Novel algorithm for the on-line signature verification, Springer, Berlin, Heidelberg, 362-367, 2012, Cites: 45
A new method to construct of interpretable models of dynamic systems
Andrzej Przybył and Krzysztof Cpałka, A new method to construct of interpretable models of dynamic systems, Springer, Berlin, Heidelberg, 697-705, 2012, Cites: 43
Creating learning sets for control systems using an evolutionary method
Marcin Gabryel and Marcin Woźniak and Robert K Nowicki, Creating learning sets for control systems using an evolutionary method, Springer, Berlin, Heidelberg, 206-213, 2012, Cites: 31
Fully controllable ant colony system for text data clustering
Piotr Dziwiński and Łukasz Bartczuk and Janusz T Starczewski, Fully controllable ant colony system for text data clustering, Springer, Berlin, Heidelberg, 199-205, 2012, Cites: 26
A new method for dealing with unbalanced linguistic term set
Łukasz Bartczuk and Piotr Dziwiński and Janusz T Starczewski, A new method for dealing with unbalanced linguistic term set, Springer, Berlin, Heidelberg, 207-212, 2012, Cites: 25
Application of neural networks in assessing changes around implant after total hip arthroplasty
Arkadiusz Szarek and Marcin Korytkowski and Leszek Rutkowski and Rafał Scherer and Janusz Szyprowski, Application of neural networks in assessing changes around implant after total hip arthroplasty, Springer, Berlin, Heidelberg, 335-340, 2012, Cites: 23
On fuzzy clustering of data streams with concept drift
Maciej Jaworski and Piotr Duda and Lena Pietruczuk, On fuzzy clustering of data streams with concept drift, Springer, Berlin, Heidelberg, 82-91, 2012, Cites: 23
A new fuzzy classifier for data streams
Lena Pietruczuk and Piotr Duda and Maciej Jaworski, A new fuzzy classifier for data streams, Springer, Berlin, Heidelberg, 318-324, 2012, Cites: 19
On pre-processing algorithms for data stream
Piotr Duda and Maciej Jaworski and Lena Pietruczuk, On pre-processing algorithms for data stream, Springer, Berlin, Heidelberg, 56-63, 2012, Cites: 18
On the strong convergence of the orthogonal series-type kernel regression neural networks in a non-stationary environment
Piotr Duda and Yoichi Hayashi and Maciej Jaworski, On the strong convergence of the orthogonal series-type kernel regression neural networks in a non-stationary environment, Springer, Berlin, Heidelberg, 47-54, 2012, Cites: 17
Forecasting wear of head and acetabulum in hip joint implant
Arkadiusz Szarek and Marcin Korytkowski and Leszek Rutkowski and Rafał Scherer and Janusz Szyprowski, Forecasting wear of head and acetabulum in hip joint implant, Springer, Berlin, Heidelberg, 341-346, 2012, Cites: 16
On resources optimization in fuzzy clustering of data streams
Maciej Jaworski and Lena Pietruczuk and Piotr Duda, On resources optimization in fuzzy clustering of data streams, Springer, Berlin, Heidelberg, 92-99, 2012, Cites: 15
Relational modular fuzzy systems
Rafał Scherer, Relational modular fuzzy systems, Springer, Berlin, Heidelberg, 39-50, 2012, Cites: 8
Takagi-Sugeno fuzzy systems
Rafał Scherer, Takagi-Sugeno fuzzy systems, Springer, Berlin, Heidelberg, 73-79, 2012, Cites: 6
Meshes vs. depth maps in face recognition systems
Sebastian Pabiasz and Janusz T Starczewski, Meshes vs. depth maps in face recognition systems, Springer, Berlin, Heidelberg, 567-573, 2012, Cites: 5
Novel method for parasite detection in microscopic samples
Patryk Najgebauer and Tomasz Nowak and Jakub Romanowski and Janusz Rygał and Marcin Korytkowski and Rafał Scherer, Novel method for parasite detection in microscopic samples, Springer, Berlin, Heidelberg, 551-558, 2012, Cites: 5
Properties and structure of fast text search engine in context of semantic image analysis
Janusz Rygał and Patryk Najgebauer and Tomasz Nowak and Jakub Romanowski and Marcin Gabryel and Rafał Scherer, Properties and structure of fast text search engine in context of semantic image analysis, Springer, Berlin, Heidelberg, 592-599, 2012, Cites: 4
Neuro-fuzzy SystemsNeuro-fuzzy systems (NFS)
L Rutkowski and K Cpałka and R Nowicki and A Pokropińska and R Scherer, Neuro-fuzzy SystemsNeuro-fuzzy systems (NFS), Springer, Computational Complexity, 2069-2081, 2012, Cites: 4
The analysis of properties of insertion sort algorithm for large data sets
Marcin Woźniak and Zbigniew Marszałek and Marcin Gabryel, The analysis of properties of insertion sort algorithm for large data sets, Zeszyty Naukowe. Matematyka Stosowana/Politechnika Śląska, 2012, Cites: 4
A neuronal approach to the statistical image reconstruction from projections problem
Robert Cierniak and Anna Lorent, A neuronal approach to the statistical image reconstruction from projections problem, Springer, Berlin, Heidelberg, 344-353, 2012, Cites: 3
Swarm and Evolutionary Computation: International Symposium, SIDE 2012, Held in Conjunction with ICAISC 2012, Zakopane, Poland, April 29-May 3, 2012, Proceedings
Leszek Rutkowski and Marcin Korytkowski and Rafał Scherer and Ryszard Tadeusiewicz and Lotfi Zadeh and Jacek Zurada, Swarm and Evolutionary Computation: International Symposium, SIDE 2012, Held in Conjunction with ICAISC 2012, Zakopane, Poland, April 29-May 3, 2012, Proceedings, Springer, 2012, Cites: 2
On the strong convergence of the recursive orthogonal series-type kernel probabilistic neural networks handling time-varying noise
Piotr Duda and Marcin Korytkowski, On the strong convergence of the recursive orthogonal series-type kernel probabilistic neural networks handling time-varying noise, Springer, Berlin, Heidelberg, 55-62, 2012, Cites: 1
Ensembles of the Mamdani Fuzzy Systems
Rafał Scherer, Ensembles of the Mamdani Fuzzy Systems, Springer, Berlin, Heidelberg, 51-59, 2012, Cites: 1
Ensemble Techniques
Rafał Scherer, Ensemble Techniques, Springer, Berlin, Heidelberg, 29-37, 2012, Cites: 1
Model of decision support system for ball positioning relative to the center of mobile beam
Marcin Woźniak and Marcin Gabryel and R Nowicki, Model of decision support system for ball positioning relative to the center of mobile beam, Zeszyty Naukowe. Matematyka Stosowana/Politechnika Śląska, 2012, Cites: 1
Swarm Intelligence and Differential Evolution
Leszek Rutkowski and Marcin Korytkowski and Rafal Scherer and Ryszard Tadeusiewicz and Lotfi Zadeh and Jacek Zurada, Swarm Intelligence and Differential Evolution, Springer, 2012, Cites: 0
Rough-neuro-fuzzy Ensembles for Classification with Missing Data
Rafał Scherer, Rough-neuro-fuzzy Ensembles for Classification with Missing Data, Springer, Berlin, Heidelberg, 81-127, 2012, Cites: 0
Proceedings of the 11th international conference on Artificial Intelligence and Soft Computing-Volume Part I
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, Springer-Verlag, 2012, Cites: 0
Proceedings of the 2012 international conference on Swarm and Evolutionary Computation
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, Springer-Verlag, 2012, Cites: 0
Introduction to Fuzzy Systems
Rafał Scherer, Introduction to Fuzzy Systems, Springer, Berlin, Heidelberg, 7-28, 2012, Cites: 0
Simulation of the characteristics of the ball movement on a beam by the use of genetic algorithm
Marcin Woźniak and Marcin Gabryel and R Nowicki, Simulation of the characteristics of the ball movement on a beam by the use of genetic algorithm, Zeszyty Naukowe. Matematyka Stosowana/Politechnika Śląska, 2, 19--33, 2012, Cites: 0
On learning in a time-varying environment by using a probabilistic neural network and the recursive least squares method
Maciej Jaworski and Marcin Gabryel, On learning in a time-varying environment by using a probabilistic neural network and the recursive least squares method, Springer, Berlin, Heidelberg, 99-110, 2012, Cites: 0
Concluding Remarks and Challenges for Future Research
Rafał Scherer, Concluding Remarks and Challenges for Future Research, Springer, Berlin, Heidelberg, 129-130, 2012, Cites: 0
Nonparametric estimates of a regression function
Leszek Rutkowski, Nonparametric estimates of a regression function, Springer Science & Business Media, Probability and Statistical Inference: Proceedings of the 2nd Pannonian Symposium on Mathematical Statistics, Bad Tatzmannsdorf, Austria, June 14–20, 1981, 343, 2012, Cites: 0
Orthopedic diagnostics with ensembles of learning systems
A Szarek and M Korytkowski and L Rutkowski and R Scherer and J Szyprowski, Orthopedic diagnostics with ensembles of learning systems, Aktualne Problemy Biomechaniki, 6, 141--146, 2012, Cites: 0
Logical Type Fuzzy Systems
Rafał Scherer, Logical Type Fuzzy Systems, Springer, Berlin, Heidelberg, 61-71, 2012, Cites: 0
On the uniform convergence of the orthogonal series-type kernel regression neural networks in a time-varying environment
Meng Joo Er and Piotr Duda, On the uniform convergence of the orthogonal series-type kernel regression neural networks in a time-varying environment, Springer, Berlin, Heidelberg, 39-46, 2012, Cites: 0

2011 (26)

X-ray computed tomography in biomedical engineering
Robert Cierniak, X-ray computed tomography in biomedical engineering, Springer Science & Business Media, 2011, Cites: 183
Novel online speed profile generation for industrial machine tool based on flexible neuro-fuzzy approximation
Leszek Rutkowski and Andrzej Przybyl and Krzysztof Cpalka, Novel online speed profile generation for industrial machine tool based on flexible neuro-fuzzy approximation, IEEE, IEEE Transactions on Industrial Electronics, 2, 1238-1247, 2011, Cites: 95
A new method of on-line signature verification using a flexible fuzzy one-class classifier
M Zalasiński and K Cpałka, A new method of on-line signature verification using a flexible fuzzy one-class classifier, Selected Topics in Computer Science Applications, 38-53, 2011, Cites: 35
AdaBoost ensemble of DCOG rough–neuro–fuzzy systems
Marcin Korytkowski and Robert Nowicki and Leszek Rutkowski and Rafał Scherer, AdaBoost ensemble of DCOG rough–neuro–fuzzy systems, Springer, Berlin, Heidelberg, 62-71, 2011, Cites: 26
Some words about the history of computed tomography
Robert Cierniak, Some words about the history of computed tomography, Springer, London, 7-19, 2011, Cites: 18
On the weak convergence of the orthogonal series-type kernel regresion neural networks in a non-stationary environment
Meng Joo Er and Piotr Duda, On the weak convergence of the orthogonal series-type kernel regresion neural networks in a non-stationary environment, Springer, Berlin, Heidelberg, 443-450, 2011, Cites: 14
Learning in rough-neuro-fuzzy system for data with missing values
Bartosz A Nowak and Robert K Nowicki, Learning in rough-neuro-fuzzy system for data with missing values, Springer, Berlin, Heidelberg, 501-510, 2011, Cites: 9
Neural network algorithm for image reconstruction using the “grid-friendly” projections
Robert Cierniak, Neural network algorithm for image reconstruction using the “grid-friendly” projections, Springer Netherlands, Australasian physical & engineering sciences in medicine, 3, 375, 2011, Cites: 9
An ensemble of logical-type neuro-fuzzy systems
Rafał Scherer, An ensemble of logical-type neuro-fuzzy systems, Pergamon, Expert Systems with Applications, 10, 13115-13120, 2011, Cites: 7
Face reconstruction for 3D systems
S Pabiasz and JT Starczewski, Face reconstruction for 3D systems, Selected Topics in Computer Science Applications, 54-63, 2011, Cites: 5
E-learning w Politechnice Częstochowskiej
K Cpałka and Z Kucharczyk and A Ulfik, E-learning w Politechnice Częstochowskiej, Politechnika Częstochowska, 2011, Cites: 4
Rule base normalization in Takagi-Sugeno ensemble
Marcin Korytkowski and Leszek Rutkowski and Rafał Scherer, Rule base normalization in Takagi-Sugeno ensemble, IEEE, 1-5, 2011, Cites: 3
Reconstruction from Parallel-beam Projections
Robert Cierniak, Reconstruction from Parallel-beam Projections, Springer, London, 83-125, 2011, Cites: 3
An analytical statistical approach to the 3D reconstruction problem
Robert Cierniak, An analytical statistical approach to the 3D reconstruction problem, 2011, Cites: 2
On the Cesaro orthogonal series-type kernel probabilistic neural networks handling non-stationary noise
Piotr Duda and Jacek M Zurada, On the Cesaro orthogonal series-type kernel probabilistic neural networks handling non-stationary noise, Springer, Berlin, Heidelberg, 435-442, 2011, Cites: 2
Szkolenia i nowe narzędzia dla autorów kursów e-learningowych
K Cpałka and A Ulfik, Szkolenia i nowe narzędzia dla autorów kursów e-learningowych, Politechnika Częstochowska, 14-15, 2011, Cites: 2
The Physics of Data Acquisition
Robert Cierniak, The Physics of Data Acquisition, Springer, London, 63-81, 2011, Cites: 1
Algebraic reconstruction techniques
Robert Cierniak, Algebraic reconstruction techniques, Springer, London, 233-265, 2011, Cites: 1
Technical Concepts of X-ray Computed Tomography Scanners
Robert Cierniak, Technical Concepts of X-ray Computed Tomography Scanners, Springer, London, 21-62, 2011, Cites: 1
Spiral Tomography
Robert Cierniak, Spiral Tomography, Springer, London, 149-231, 2011, Cites: 0
On designing of flexible neuro-fuzzy systems for nonlinear modelling
Krzysztof Cpałka and Olga Rebrova and Robert Nowicki and Leszek Rutkowski, On designing of flexible neuro-fuzzy systems for nonlinear modelling, Springer, Berlin, Heidelberg, 147-154, 2011, Cites: 0
Reconstruction from Fan-beam Projections
Robert Cierniak, Reconstruction from Fan-beam Projections, Springer, London, 127-147, 2011, Cites: 0
Evaluation of CT Devices
Robert Cierniak, Evaluation of CT Devices, Springer, London, 267-279, 2011, Cites: 0
Computer-Generated Projections for Simulations
Robert Cierniak, Computer-Generated Projections for Simulations, Springer, London, 281-295, 2011, Cites: 0
On the weak convergence of the recursive orthogonal series-type kernel probabilistic neural networks in a time-varying environment
Piotr Duda and Yoichi Hayashi, On the weak convergence of the recursive orthogonal series-type kernel probabilistic neural networks in a time-varying environment, Springer, Berlin, Heidelberg, 427-434, 2011, Cites: 0
Journal of Artificial Intelligence and Soft Computing Research: JAISCR
Leszek Rutkowski, Journal of Artificial Intelligence and Soft Computing Research: JAISCR, Polish Neural Network Society & the University of Social Sciences., 2011, Cites: 0

2010 (32)