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Position:
Full Professor

Classes:
Programowanie obiektowe lab.
Advanced methods of data mining and processing
Prof. PhD DSc Eng Leszek Rutkowski

Papers (250)

2021 (5)

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, 2021, Cites: 0
A diversified shared latent variable model for efficient image characteristics extraction and modelling
Hao Xiong and Yuan Yan Tang and Fionn Murtagh and Leszek Rutkowski and Shlomo Berkovsky, A diversified shared latent variable model for efficient image characteristics extraction and modelling, Elsevier, 244-259, 2021, Cites: 0
Stabilization of Markovian Jump Boolean Control Networks via Sampled-Data Control
Bingquan Chen and Jinde Cao and Guoping Lu and Leszek Rutkowski, Stabilization of Markovian Jump Boolean Control Networks via Sampled-Data Control, IEEE, 2021, Cites: 0
Finite-Time Synchronization of Complex-Valued Memristive-Based Neural Networks Via Hybrid Control
Tianhu Yu and Jinde Cao and Leszek Rutkowski and Yi-Ping Luo, Finite-Time Synchronization of Complex-Valued Memristive-Based Neural Networks Via Hybrid Control, IEEE, 2021, Cites: 0
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, 266-279, 2021, Cites: 3

2020 (33)

Splitting Criteria with the Bias Term
Leszek Rutkowski and Maciej Jaworski and Piotr Duda, Splitting Criteria with the Bias Term, Springer, Cham, 83-89, 2020, Cites: 0
Concept Drift Detection Using Autoencoders in Data Streams Processing
Maciej Jaworski and Leszek Rutkowski and Plamen Angelov, Concept Drift Detection Using Autoencoders in Data Streams Processing, Springer, Cham, 124-133, 2020, Cites: 0
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
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, 2020, Cites: 1
Probabilistic Neural Networks for the Streaming Data Classification
Leszek Rutkowski and Maciej Jaworski and Piotr Duda, Probabilistic Neural Networks for the Streaming Data Classification, Springer, Cham, 245-277, 2020, Cites: 1
Artificial Intelligence and Soft Computing: 19th International Conference, ICAISC 2020, Zakopane, Poland, October 12-14, 2020, Proceedings, Part II
Leszek Rutkowski and Rafał Scherer and Marcin Korytkowski and Witold Pedrycz and Ryszard Tadeusiewicz and Jacek M Zurada, Artificial Intelligence and Soft Computing: 19th International Conference, ICAISC 2020, Zakopane, Poland, October 12-14, 2020, Proceedings, Part II, Springer Nature, 2020, Cites: 0
Basic concepts of data stream mining
Leszek Rutkowski and Maciej Jaworski and Piotr Duda, Basic concepts of data stream mining, Springer, Cham, 13-33, 2020, Cites: 6
A new 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, 2020, Cites: 0
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, 2020, Cites: 10
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
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, 447-460, 2020, Cites: 1
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, 2537-2541, 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
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, 2020, Cites: 0
Fully convolutional network for removing DCT artefacts from images
Patryk Najgebauer and Rafał Scherer and Leszek Rutkowski, Fully convolutional network for removing DCT artefacts from images, IEEE, 1-8, 2020, Cites: 1
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, 2020, Cites: 3
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, 2020, Cites: 5
Stream data mining: Algorithms and their probabilistic properties
Leszek Rutkowski and Maciej Jaworski and Piotr Duda, Stream data mining: Algorithms and their probabilistic properties, Springer, 2020, Cites: 18
Complex systems and networks with their applications
Jin-de Cao and Yang Liu and Jian-quan Lu and Leszek Rutkowski, Complex systems and networks with their applications, Zhejiang University Press, 195-198, 2020, Cites: 0
Basic Concepts of Probabilistic Neural Networks
Leszek Rutkowski and Maciej Jaworski and Piotr Duda, Basic Concepts of Probabilistic Neural Networks, Springer, Cham, 117-154, 2020, Cites: 0
Explainable Cluster-Based Rules Generation for Image Retrieval and Classification
Paweł Staszewski and Maciej Jaworski and Leszek Rutkowski and Dacheng Tao, Explainable Cluster-Based Rules Generation for Image Retrieval and Classification, Springer, Cham, 85-94, 2020, Cites: 0
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, 5483-5496, 2020, Cites: 10
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
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
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, 1859-1869, 2020, Cites: 4
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
Hybrid Splitting Criteria
Leszek Rutkowski and Maciej Jaworski and Piotr Duda, Hybrid Splitting Criteria, Springer, Cham, 91-113, 2020, Cites: 1
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
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, 2020, Cites: 53
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
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, 2780-2790, 2020, Cites: 9
Decision trees in data stream mining
Leszek Rutkowski and Maciej Jaworski and Piotr Duda, Decision trees in data stream mining, Springer, Cham, 37-50, 2020, Cites: 3

2019 (15)

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, 2758-2769, 2019, Cites: 23
On handling missing values in data stream mining algorithms based on the restricted Boltzmann machine
Maciej Jaworski and Piotr Duda and Danuta Rutkowska and Leszek Rutkowski, On handling missing values in data stream mining algorithms based on the restricted Boltzmann machine, Springer, Cham, 347-354, 2019, Cites: 1
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, 545, 2019, Cites: 0
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, 2537-2541, 2019, Cites: 13
Microscopic sample segmentation by fully convolutional network for parasite detection
Patryk Najgebauer and Rafał Grycuk and Leszek Rutkowski and Rafał Scherer and Agnieszka Siwocha, Microscopic sample segmentation by fully convolutional network for parasite detection, Springer, Cham, 164-171, 2019, Cites: 1
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, 2797-2819, 2019, Cites: 2
Resource-aware data stream mining using the Restricted Boltzmann Machine
Maciej Jaworski and Leszek Rutkowski and Piotr Duda and Andrzej Cader, Resource-aware data stream mining using the Restricted Boltzmann Machine, Springer, Cham, 384-396, 2019, Cites: 7
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, 2019, Cites: 1
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, 1022-1035, 2019, Cites: 40
On Proper Designing of Deep Structures for Image Classification
Piotr Woldan and Paweł Staszewski and Leszek Rutkowski and Konrad Grzanek, On Proper Designing of Deep Structures for Image Classification, Springer, Cham, 223-235, 2019, Cites: 0
On the Hermite Series-Based Generalized Regression Neural Networks for Stream Data Mining
Danuta Rutkowska and Leszek Rutkowski, On the Hermite Series-Based Generalized Regression Neural Networks for Stream Data Mining, Springer, Cham, 437-448, 2019, Cites: 0
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, 2019, Cites: 13
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
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, 1111-1120, 2019, Cites: 19
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, 1060-1065, 2019, Cites: 21

2018 (9)

Online GRNN-based ensembles for regression on evolving data streams
Piotr Duda and Maciej Jaworski and Leszek Rutkowski, Online GRNN-based ensembles for regression on evolving data streams, Springer, Cham, 221-228, 2018, Cites: 7
Fuzzy-genetic approach to identity verification using a handwritten signature
Marcin Zalasiński and Krzysztof Cpałka and Leszek Rutkowski, Fuzzy-genetic approach to identity verification using a handwritten signature, Springer, Cham, 375-394, 2018, Cites: 8
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, 497-518, 2018, Cites: 23
On the Parzen kernel-based probability density function learning procedures over time-varying streaming data with applications to pattern classification
Piotr Duda and Leszek Rutkowski and Maciej Jaworski and Danuta Rutkowska, On the Parzen kernel-based probability density function learning procedures over time-varying streaming data with applications to pattern classification, IEEE, 1683-1696, 2018, Cites: 23
Concept drift detection in streams of labelled data using the restricted Boltzmann machine
Maciej Jaworski and Piotr Duda and Leszek Rutkowski, Concept drift detection in streams of labelled data using the restricted Boltzmann machine, IEEE, 1-7, 2018, Cites: 9
A content-based recommendation system using neuro-fuzzy approach
Tomasz Rutkowski and Jakub Romanowski and Piotr Woldan and Paweł Staszewski and Radosław Nielek and Leszek Rutkowski, A content-based recommendation system using neuro-fuzzy approach, IEEE, 1-8, 2018, Cites: 21
New aspects of interpretability of fuzzy systems for nonlinear modeling
Krystian Łapa and Krzysztof Cpałka and Leszek Rutkowski, New aspects of interpretability of fuzzy systems for nonlinear modeling, Springer, Cham, 225-264, 2018, Cites: 11
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
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, 1750048, 2018, Cites: 25

2017 (8)

Interest point localization based on edge detection according to gestalt laws
Patryk Najgebauer and Leszek Rutkowski and Rafal Scherer, Interest point localization based on edge detection according to gestalt laws, IEEE, 349-353, 2017, Cites: 3
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, 2516-2529, 2017, Cites: 72
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
On applying the restricted Boltzmann machine to active concept drift detection
Maciej Jaworski and Piotr Duda and Leszek Rutkowski, On applying the restricted Boltzmann machine to active concept drift detection, IEEE, 1-8, 2017, Cites: 15
Advances in data analysis with computational intelligence methods: dedicated to Professor Jacek Żurada
Adam E Gawęda and Janusz Kacprzyk and Leszek Rutkowski and Gary G Yen, Advances in data analysis with computational intelligence methods: dedicated to Professor Jacek Żurada, Springer, 2017, Cites: 4
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, 46-54, 2017, Cites: 60
Heuristic regression function estimation methods for data streams with concept drift
Maciej Jaworski and Piotr Duda and Leszek Rutkowski and Patryk Najgebauer and Miroslaw Pawlak, Heuristic regression function estimation methods for data streams with concept drift, Springer, Cham, 726-737, 2017, Cites: 11
On ensemble components selection in data streams scenario with reoccurring concept-drift
Piotr Duda and Maciej Jaworski and Leszek Rutkowski, On ensemble components selection in data streams scenario with reoccurring concept-drift, IEEE, 1-7, 2017, Cites: 13

2016 (6)

Fast image classification by boosting fuzzy classifiers
Marcin Korytkowski and Leszek Rutkowski and Rafał Scherer, Fast image classification by boosting fuzzy classifiers, Elsevier, 175-182, 2016, Cites: 141
A method for automatic adjustment of ensemble size in stream data mining
Lena Pietruczuk and Leszek Rutkowski and Maciej Jaworski and Piotr Duda, A method for automatic adjustment of ensemble size in stream data mining, IEEE, 9-15, 2016, Cites: 24
Novel rough neural network for classification with missing data
Robert K Nowicki and Rafal Scherer and Leszek Rutkowski, Novel rough neural network for classification with missing data, IEEE, 820-825, 2016, Cites: 7
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
Artificial Intelligence and Soft Computing: 15th International Conference, ICAISC 2016, Zakopane, Poland, June 12-16, 2016, Proceedings, Part II
Leszek Rutkowski and Marcin Korytkowski and Rafał Scherer and Ryszard Tadeusiewicz and Lotfi A Zadeh and Jacek M Zurada, Artificial Intelligence and Soft Computing: 15th International Conference, ICAISC 2016, Zakopane, Poland, June 12-16, 2016, Proceedings, Part II, Springer, 2016, Cites: 0
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, 47-56, 2016, Cites: 89

2015 (2)

Fast dictionary matching for content-based image retrieval
Patryk Najgebauer and Janusz Rygał and Tomasz Nowak and Jakub Romanowski and Leszek Rutkowski and Sviatoslav Voloshynovskiy and Rafał Scherer, Fast dictionary matching for content-based image retrieval, Springer, Cham, 747-756, 2015, Cites: 3
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

2014 (7)

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
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, 1-15, 2014, Cites: 232
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
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 novel application of hoeffding's inequality to decision trees construction for data streams
Piotr Duda and Maciej Jaworski and Lena Pietruczuk and Leszek Rutkowski, A novel application of hoeffding's inequality to decision trees construction for data streams, IEEE, 3324-3330, 2014, Cites: 16
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, 1048-1059, 2014, Cites: 103
New method for the on-line signature verification based on horizontal partitioning
Krzysztof Cpałka and Marcin Zalasiński and Leszek Rutkowski, New method for the on-line signature verification based on horizontal partitioning, Pergamon, 2652-2661, 2014, Cites: 96

2013 (5)

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
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
Neural Networks and Soft Computing: Proceedings of the Sixth International Conference on Neural Network and Soft Computing, Zakopane, Poland, June 11-15, 2002
Leszek Rutkowski, Neural Networks and Soft Computing: Proceedings of the Sixth International Conference on Neural Network and Soft Computing, Zakopane, Poland, June 11-15, 2002, Springer Science & Business Media, 2013, Cites: 7
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, 706-720, 2013, Cites: 69
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, 108-119, 2013, Cites: 159

2012 (8)

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
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, 2069-2081, 2012, Cites: 4
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
Swarm and Evolutionary Computation: International Symposium, SIDE 2012, Held in Conjunction with ICAISC 2012, Zakopane, Poland, April 29-May 3, 2012, Proceedings
Leszek Rutkowski and Marcin Korytkowski and Rafał Scherer and Ryszard Tadeusiewicz and Lotfi Zadeh and Jacek Zurada, Swarm and Evolutionary Computation: International Symposium, SIDE 2012, Held in Conjunction with ICAISC 2012, Zakopane, Poland, April 29-May 3, 2012, Proceedings, Springer, 2012, Cites: 0
Nonparametric estimates of a regression function
Leszek Rutkowski, Nonparametric estimates of a regression function, Springer Science & Business Media, 343, 2012, Cites: 0
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, 1272-1279, 2012, Cites: 197
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, 141--146, 2012, Cites: 0
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

2011 (4)

On designing of flexible neuro-fuzzy systems for nonlinear modelling
Krzysztof Cpałka and Olga Rebrova and Robert Nowicki and Leszek Rutkowski, On designing of flexible neuro-fuzzy systems for nonlinear modelling, Springer, Berlin, Heidelberg, 147-154, 2011, Cites: 2
AdaBoost ensemble of DCOG rough–neuro–fuzzy systems
Marcin Korytkowski and Robert Nowicki and Leszek Rutkowski and Rafał Scherer, AdaBoost ensemble of DCOG rough–neuro–fuzzy systems, Springer, Berlin, Heidelberg, 62-71, 2011, Cites: 25
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
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, 1238-1247, 2011, Cites: 93

2010 (10)

Online speed profile generation for industrial machine tool based on neuro-fuzzy approach
Leszek Rutkowski and Andrzej Przybył and Krzysztof Cpałka and Meng Joo Er, Online speed profile generation for industrial machine tool based on neuro-fuzzy approach, Springer, Berlin, Heidelberg, 645-650, 2010, Cites: 53
Fault diagnosis of an air-handling unit system using a dynamic fuzzy-neural approach
Juan Du and Meng Joo Er and Leszek Rutkowski, Fault diagnosis of an air-handling unit system using a dynamic fuzzy-neural approach, Springer, Berlin, Heidelberg, 58-65, 2010, Cites: 8
On automatic design of neuro-fuzzy systems
Krzysztof Cpałka and Leszek Rutkowski and Meng Joo Er, On automatic design of neuro-fuzzy systems, Springer, Berlin, Heidelberg, 43-48, 2010, Cites: 0
Artificial Intelligence and Soft Computing, Part I: 10th International Conference, ICAISC 2010, Zakopane, Poland, June13-17, 2010, Part I
Leszek Rutkowski and Rafał Scherer and Ryszard Tadeusiewicz and Lotfi A Zadeh and Jacek M Zurada, Artificial Intelligence and Soft Computing, Part I: 10th International Conference, ICAISC 2010, Zakopane, Poland, June13-17, 2010, Part I, Springer, 2010, Cites: 24
MICOG defuzzification rough-neuro-fuzzy system ensemble
Marcin Korytkowski and Robert K Nowicki and Rafał Scherer and Leszek Rutkowski, MICOG defuzzification rough-neuro-fuzzy system ensemble, IEEE, 1-6, 2010, Cites: 3
Fuzzy regression modeling for tool performance prediction and degradation detection
X Li and Meng Joo Er and Beng Siong Lim and JH Zhou and OP Gan and Leszek Rutkowski, Fuzzy regression modeling for tool performance prediction and degradation detection, World Scientific Publishing Company, 405-419, 2010, Cites: 66
Proceedings of the 10th international conference on Artificial intelligence and soft computing: Part I
Leszek Rutkowski and Rafał Scherer and Ryszard Tadeusiewicz and Lotfi A Zadeh and Jacek M Zurada, Proceedings of the 10th international conference on Artificial intelligence and soft computing: Part I, Springer-Verlag, 2010, Cites: 0
Neural network-based assessment of femur stress after hip joint alloplasty
Marcin Korytkowski and Leszek Rutkowski and Rafał Scherer and Arkadiusz Szarek, Neural network-based assessment of femur stress after hip joint alloplasty, Springer, Berlin, Heidelberg, 621-626, 2010, Cites: 0
Evolutionary designing of logic-type fuzzy systems
Marcin Gabryel and Leszek Rutkowski, Evolutionary designing of logic-type fuzzy systems, Springer, Berlin, Heidelberg, 143-148, 2010, Cites: 6
An efficient adaptive fuzzy neural network (EAFNN) approach for short term load forecasting
Juan Du and Meng Joo Er and Leszek Rutkowski, An efficient adaptive fuzzy neural network (EAFNN) approach for short term load forecasting, Springer, Berlin, Heidelberg, 49-57, 2010, Cites: 3

2009 (2)

A new method for complexity reduction of neuro-fuzzy systems with application to differential stroke diagnosis
Krzysztof Cpałka and Olga Rebrova and Leszek Rutkowski, A new method for complexity reduction of neuro-fuzzy systems with application to differential stroke diagnosis, Springer, Berlin, Heidelberg, 435-444, 2009, Cites: 2
Neuro-fuzzy Systems.
Leszek Rutkowski and Krzysztof Cpalka and Robert Nowicki and Agata Pokropinska and Rafal Scherer, Neuro-fuzzy Systems., 6086-6099, 2009, Cites: 0

2008 (20)

Evolutionary algorithms
Leszek Rutkowski, Evolutionary algorithms, Springer Berlin Heidelberg, 265-347, 2008, Cites: 0
From ensemble of fuzzy classifiers to single fuzzy rule base classifier
Marcin Korytkowski and Leszek Rutkowski and Rafał Scherer, From ensemble of fuzzy classifiers to single fuzzy rule base classifier, Springer, Berlin, Heidelberg, 265-272, 2008, Cites: 59
Methods of knowledge representation using type-1 fuzzy sets
Leszek Rutkowski, Methods of knowledge representation using type-1 fuzzy sets, Springer Berlin Heidelberg, 63-153, 2008, Cites: 0
New methods for designing neuro-fuzzy systems
Krzysztof Cpałka and Meng Joo Er and Leszek Rutkowski, New methods for designing neuro-fuzzy systems, 1, 2008, Cites: 1
Selected issues of artificial intelligence
Leszek Rutkowski, Selected issues of artificial intelligence, Springer Berlin Heidelberg, 7-23, 2008, Cites: 0
Evolutionary learning of flexible neuro-fuzzy systems
Krzysztof Cpalka and Leszek Rutkowski, Evolutionary learning of flexible neuro-fuzzy systems, IEEE, 969-975, 2008, Cites: 8
Neuro-Fuzzy Systems and their Applications
Leszek Rutkowski, Neuro-Fuzzy Systems and their Applications, IEEE, xii-xii, 2008, Cites: 0
On differential stroke diagnosis by neuro-fuzzy structures
Krzysztof Cpałka and Olga Rebrova and Tomasz Gałkowski and Leszek Rutkowski, On differential stroke diagnosis by neuro-fuzzy structures, Springer, Berlin, Heidelberg, 974-980, 2008, Cites: 1
Metody projektowania rozmytych sterowników
L Rutkowski and R Nowicki and A Pokropińska, Metody projektowania rozmytych sterowników, 2008, Cites: 0
Evolutionary methods to create interpretable modular system
Marcin Korytkowski and Marcin Gabryel and Leszek Rutkowski and Stanislaw Drozda, Evolutionary methods to create interpretable modular system, Springer, Berlin, Heidelberg, 405-413, 2008, Cites: 13
An application of weighted triangular norms to complexity reduction of neuro-fuzzy systems
Krzysztof Cpalka and Leszek Rutkowski, An application of weighted triangular norms to complexity reduction of neuro-fuzzy systems, Springer, Berlin, Heidelberg, 207-216, 2008, Cites: 1
Artificial Intelligence and Soft Computing–ICAISC 2008: 9th International Conference Zakopane, Poland, June 22-26, 2008, Proceedings
Leszek Rutkowski and Ryszard Tadeusiewicz and Lofti A Zadeh and Jacek M Zurada, Artificial Intelligence and Soft Computing–ICAISC 2008: 9th International Conference Zakopane, Poland, June 22-26, 2008, Proceedings, Springer, 2008, Cites: 7
Evolutionary methods for designing neuro-fuzzy modular systems combined by bagging algorithm
Marcin Gabryel and Leszek Rutkowski, Evolutionary methods for designing neuro-fuzzy modular systems combined by bagging algorithm, Springer, Berlin, Heidelberg, 398-404, 2008, Cites: 10
Methods of knowledge representation using rough sets
Leszek Rutkowski, Methods of knowledge representation using rough sets, Springer Berlin Heidelberg, 25-61, 2008, Cites: 0
Computational
Leszek Rutkowski, Computational, 2008, Cites: 517
Neural networks and their learning algorithms
Leszek Rutkowski, Neural networks and their learning algorithms, Springer Berlin Heidelberg, 187-264, 2008, Cites: 2
Data clustering methods
Leszek Rutkowski, Data clustering methods, Springer Berlin Heidelberg, 349-369, 2008, Cites: 1
Artificial Intelligence and Soft Computing--ICAISC 2008-9th International Conference. Zakopane, Poland, June 2008. Proceedings
Leszek Rutkowski and Ryszard Tadeusiewicz and Lotfi A Zadeh and Jecek M Zurada, Artificial Intelligence and Soft Computing--ICAISC 2008-9th International Conference. Zakopane, Poland, June 2008. Proceedings, 2008, Cites: 0
Neuro-fuzzy systems of Mamdani, logical and Takagi-Sugeno type
Leszek Rutkowski, Neuro-fuzzy systems of Mamdani, logical and Takagi-Sugeno type, Springer Berlin Heidelberg, 371-448, 2008, Cites: 0
Ensemble of rough-neuro-fuzzy systems for classification with missing features
Marcin Korytkowski and Robert Nowicki and Rafal Scherer and Leszek Rutkowski, Ensemble of rough-neuro-fuzzy systems for classification with missing features, IEEE, 1745-1750, 2008, Cites: 12

2007 (5)

On speeding up the learning process of neuro-fuzzy ensembles generated by the adaboost algorithm
Marcin Korytkowski and Leszek Rutkowski and Rafal Scherer, On speeding up the learning process of neuro-fuzzy ensembles generated by the adaboost algorithm, Springer, Berlin, Heidelberg, 319-326, 2007, Cites: 1
On designing of flexible neuro-fuzzy systems for classification
Krzysztof Cpałka and Leszek Rutkowski, On designing of flexible neuro-fuzzy systems for classification, 19-26, 2007, Cites: 0
Modular rough neuro-fuzzy systems for classification
Rafał Scherer and Marcin Korytkowski and Robert Nowicki and Leszek Rutkowski, Modular rough neuro-fuzzy systems for classification, Springer, Berlin, Heidelberg, 540-548, 2007, Cites: 3
Rough-neuro-fuzzy systems for classification
Krzysztof Cpalka and Robert Nowicki and Leszek Rutkowski, Rough-neuro-fuzzy systems for classification, IEEE, 1-8, 2007, Cites: 2
On Obtaining Fuzzy Rule Base from Ensemble of Takagi-Sugeno Systems
Marcin Korytkowski and Leszek Rutkowski and Rafal Scherer and Grzegorz Drozda, On Obtaining Fuzzy Rule Base from Ensemble of Takagi-Sugeno Systems, IEEE, 234-237, 2007, Cites: 1

2006 (12)

On complexity reduction of neuro-fuzzy systems
Krzysztof Cpałka and Leszek Rutkowski, On complexity reduction of neuro-fuzzy systems, 25-32, 2006, Cites: 0
A new method for complexity reduction of neuro-fuzzysystems.
Krzysztof Cpalka and Leszek Rutkowski, A new method for complexity reduction of neuro-fuzzysystems., 2514-2521, 2006, Cites: 3
Evolutionary learning of Mamdani-type neuro-fuzzy systems
Marcin Gabryel and Leszek Rutkowski, Evolutionary learning of Mamdani-type neuro-fuzzy systems, Springer, Berlin, Heidelberg, 354-359, 2006, Cites: 20
Artificial Intelligence and Soft Computing
Andrzej Cader and Leszek Rutkowski and Ryszard Tadeusiewicz and Jacek Zurada, Artificial Intelligence and Soft Computing, Academic Publishing House EXIT, 2006, Cites: 4
Artificial Intelligence and Soft Computing–ICAISC 2006: 8th International Conference, Zakopane, Poland, June 25-29, 2006, Proceedings
Leszek Rutkowski and Ryszard Tadeusiewicz and Lotfi A Zadeh and Jacek Zurada, Artificial Intelligence and Soft Computing–ICAISC 2006: 8th International Conference, Zakopane, Poland, June 25-29, 2006, Proceedings, Springer, 2006, Cites: 14
A new method for designing and reduction of neuro-fuzzy systems
Krzysztof Cpalka and Leszek Rutkowski, A new method for designing and reduction of neuro-fuzzy systems, IEEE, 1851-1857, 2006, Cites: 40
Family corner-Poland chapter
L Rutkowski, Family corner-Poland chapter, IEEE, 52-55, 2006, Cites: 0
On combining backpropagation with boosting
Marcin Korytkowski and Leszek Rutkowski and Rafal Scherer, On combining backpropagation with boosting, IEEE, 1274-1277, 2006, Cites: 57
Proceedings of the 8th international conference on Artificial Intelligence and Soft Computing
Leszek Rutkowski and Ryszard Tadeusiewicz and Lotfi A Zadeh and Jacek M Żurada, Proceedings of the 8th international conference on Artificial Intelligence and Soft Computing, Springer-Verlag, 2006, Cites: 0
Combining logical-type neuro-fuzzy systems
Marcin Korytkowski and Robert Nowicki and Leszek Rutkowski and Rafał Scherer, Combining logical-type neuro-fuzzy systems, Springer, Berlin, Heidelberg, 240-249, 2006, Cites: 1
Merging ensemble of neuro-fuzzy systems
Marcin Korytkowski and Robert Nowicki and Leszek Rutkowski and Rafal Scherer, Merging ensemble of neuro-fuzzy systems, IEEE, 1954-1957, 2006, Cites: 6
Podejmowanie decyzji z wykorzystaniem zbiorów rozmytych typu 2
Leszek Rutkowski, Podejmowanie decyzji z wykorzystaniem zbiorów rozmytych typu 2, 181-187, 2006, Cites: 2

2005 (12)

Designing and learning of adjustable quasi-triangular norms with applications to neuro-fuzzy systems
Leszek Rutkowski and Krzysztof Cpalka, Designing and learning of adjustable quasi-triangular norms with applications to neuro-fuzzy systems, IEEE, 140-151, 2005, Cites: 82
Applying artificial intelligence techniques to analog fault detection and classification
L Rutkowski, Applying artificial intelligence techniques to analog fault detection and classification, 15-24, 2005, Cites: 1
Calcium, magnesium, phosphate and phosphate binders, bone and mineral metabolism: SP245 ALENDRONATE THERAPY AS PREVENTION OF BONE LOSS FOLLOWING PROLONGED CORTICOSTEROID …
Slawomir Lizakowski and Beata Rutkowska and Piotr Jagodzinski and Zbigniew Zdrojewski and Barbara Bullo and Edyta Szurowska and Joanna Pienkowska and Boleslaw Rutkowski, Calcium, magnesium, phosphate and phosphate binders, bone and mineral metabolism: SP245 ALENDRONATE THERAPY AS PREVENTION OF BONE LOSS FOLLOWING PROLONGED CORTICOSTEROID …, 2005, Cites: 0
Connectionist fuzzy relational systems
Rafał Scherer and Leszek Rutkowski, Connectionist fuzzy relational systems, Springer, Berlin, Heidelberg, 35-47, 2005, Cites: 22
Metody i techniki sztucznej inteligencji: inteligencja obliczeniowa
Leszek Rutkowski, Metody i techniki sztucznej inteligencji: inteligencja obliczeniowa, Wydawnictwo Naukowe PWN, 2005, Cites: 644
Methods and techniques of artificial intelligence
L Rutkowski, Methods and techniques of artificial intelligence, 2005, Cites: 102
Nowe metody inteligencji komputerowej
L Rutkowski, Nowe metody inteligencji komputerowej, 3-14, 2005, Cites: 0
Neuro-fuzzy structures for pattern classification
Krzysztof Cpałka and Leszek Rutkowski, Neuro-fuzzy structures for pattern classification, 688-697, 2005, Cites: 12
Flexible takagi-sugeno fuzzy systems
Krzysztof Cpalka and Leszek Rutkowski, Flexible takagi-sugeno fuzzy systems, IEEE, 1764-1769, 2005, Cites: 59
Flexible Takagi-Sugeno neuro-fuzzy structures
Krzysztof Cpałka and Leszek Rutkowski, Flexible Takagi-Sugeno neuro-fuzzy structures, 1, 2005, Cites: 0
Alendronate therapy as prevention of bone loss following prolonged corticosteroid therapy in patients with chronic glomerulonephritis
S Lizakowski and B Rutkowska and P Jagodzinski and Z Zdrojewski and B Bullo and E Szurowska and J Pienkowska and B Rutkowski, Alendronate therapy as prevention of bone loss following prolonged corticosteroid therapy in patients with chronic glomerulonephritis, OXFORD UNIV PRESS, V101-V101, 2005, Cites: 0
Flexible Takagi-Sugeno neuro-fuzzy structures for nonlinear approximation
Krzysztof Cpalka and Leszek Rutkowski, Flexible Takagi-Sugeno neuro-fuzzy structures for nonlinear approximation, 1450-1458, 2005, Cites: 43

2004 (31)

Neuro-Fuzzy Systems Based On Weighted Triangular Norms
KRZYSZTOF CPAŁKA and Leszek Rutkowski, Neuro-Fuzzy Systems Based On Weighted Triangular Norms, 2004, Cites: 0
Introduction to Probabilistic Neural Networks
Leszek Rutkowski, Introduction to Probabilistic Neural Networks, Springer, Berlin, Heidelberg, 21-57, 2004, Cites: 3
Generalized Regression Neural Networks in a Time-Varying Environment
Leszek Rutkowski, Generalized Regression Neural Networks in a Time-Varying Environment, Springer, Berlin, Heidelberg, 73-134, 2004, Cites: 138
Flexible Or-Type Neuro-Fuzzy Systems
Leszek Rutkowski, Flexible Or-Type Neuro-Fuzzy Systems, Springer US, 75-127, 2004, Cites: 0
The PVQ Scheme
Leszek Rutkowski, The PVQ Scheme, Springer, Berlin, Heidelberg, 185-191, 2004, Cites: 0
Design of the PVQ Schemes
Leszek Rutkowski, Design of the PVQ Schemes, Springer, Berlin, Heidelberg, 217-239, 2004, Cites: 0
Adaptive probabilistic neural networks for pattern classification in time-varying environment
Leszek Rutkowski, Adaptive probabilistic neural networks for pattern classification in time-varying environment, IEEE, 811-827, 2004, Cites: 242
Neuro-fuzzy relational classifiers
Rafał Scherer and Leszek Rutkowski, Neuro-fuzzy relational classifiers, Springer, Berlin, Heidelberg, 376-380, 2004, Cites: 22
Design of the Code-book
Leszek Rutkowski, Design of the Code-book, Springer, Berlin, Heidelberg, 203-216, 2004, Cites: 0
General Learning Procedure in a Time-Varying Environment
Leszek Rutkowski, General Learning Procedure in a Time-Varying Environment, Springer, Berlin, Heidelberg, 59-71, 2004, Cites: 0
A flexible approach to fuzzy modelling
L Rutkowski and K Cpałka, A flexible approach to fuzzy modelling, 247-252, 2004, Cites: 0
Kernel Functions for Construction of Probabilistic Neural Networks
Leszek Rutkowski, Kernel Functions for Construction of Probabilistic Neural Networks, Springer, Berlin, Heidelberg, 9-19, 2004, Cites: 0
A Family of the RLS Learning Algorithms
Leszek Rutkowski, A Family of the RLS Learning Algorithms, Springer, Berlin, Heidelberg, 241-281, 2004, Cites: 0
Performance Comparison of Neuro-Fuzzy Systems
Leszek Rutkowski, Performance Comparison of Neuro-Fuzzy Systems, Springer US, 235-254, 2004, Cites: 0
Systolic Implementations of the RLS Learning Algorithms
Leszek Rutkowski, Systolic Implementations of the RLS Learning Algorithms, Springer, Berlin, Heidelberg, 283-328, 2004, Cites: 0
Elements of the Theory of Fuzzy Sets
Leszek Rutkowski, Elements of the Theory of Fuzzy Sets, Springer US, 7-26, 2004, Cites: 0
Fuzzy modelling with a compromise fuzzy reasoning
Krzysztof Cpalka and Leszek Rutkowski, Fuzzy modelling with a compromise fuzzy reasoning, Springer, Berlin, Heidelberg, 284-289, 2004, Cites: 0
Strategic Planning through Model Checking of ATL Formulae
L Rutkowski and WJ Jamroga and J Siekmann and R Tadeusiewicz and LA Zadeh, Strategic Planning through Model Checking of ATL Formulae, 2004, Cites: 0
Fuzzy Inference Systems
Leszek Rutkowski, Fuzzy Inference Systems, Springer US, 27-50, 2004, Cites: 0
Flexibility in Fuzzy Systems
Leszek Rutkowski, Flexibility in Fuzzy Systems, Springer US, 51-74, 2004, Cites: 0
Flexible Compromise and-Type Neuro-Fuzzy Systems
Leszek Rutkowski, Flexible Compromise and-Type Neuro-Fuzzy Systems, Springer US, 129-164, 2004, Cites: 0
Probabilistic Neural Networks for Pattern Classification in a Time-Varying Environment
Leszek Rutkowski, Probabilistic Neural Networks for Pattern Classification in a Time-Varying Environment, Springer, Berlin, Heidelberg, 135-167, 2004, Cites: 0
Flexible Logical-Type Neuro-Fuzzy Systems
Leszek Rutkowski, Flexible Logical-Type Neuro-Fuzzy Systems, Springer US, 185-233, 2004, Cites: 0
Vector Quantization for Image Compression
Leszek Rutkowski, Vector Quantization for Image Compression, Springer, Berlin, Heidelberg, 169-177, 2004, Cites: 0
Flexible Mamdani-Type Neuro-Fuzzy Systems
Leszek Rutkowski, Flexible Mamdani-Type Neuro-Fuzzy Systems, Springer US, 165-183, 2004, Cites: 0
Inference rules and decision rules
L Rutkowski and J Siekman and Ryszard Tadeusiewicz and Lotfi A Zadeh and L Rutkowski and J Kacprzyk, Inference rules and decision rules, Springer, 2004, Cites: 0
Design of the Predictor
Leszek Rutkowski, Design of the Predictor, Springer, Berlin, Heidelberg, 193-202, 2004, Cites: 0
A new method for system modelling and pattern classification
L Rutkowski, A new method for system modelling and pattern classification, 11-24, 2004, Cites: 19
The DPCM Technique
Leszek Rutkowski, The DPCM Technique, Springer, Berlin, Heidelberg, 179-184, 2004, Cites: 0
Neuro-fuzzy systems derived from quasi-triangular norms
Leszek Rutkowski and Krzysztof Cpalka, Neuro-fuzzy systems derived from quasi-triangular norms, IEEE, 1031-1036, 2004, Cites: 42
New soft computing techniques for system modeling, pattern classification and image processing
Leszek Rutkowski and Leszek Rutkowski, New soft computing techniques for system modeling, pattern classification and image processing, Springer-Verlag, 2004, Cites: 109

2003 (9)

Errata to" Flexible Neuro-Fuzzy Systems"
Leszek Rutkowski and Krzysztof Cpalka, Errata to" Flexible Neuro-Fuzzy Systems", 967, 2003, Cites: 0
Numerically robust learning algorithms for feed forward neural networks
Jarosław Bilski and Leszek Rutkowski, Numerically robust learning algorithms for feed forward neural networks, Physica, Heidelberg, 149-154, 2003, Cites: 16
Compromise Weighted Neuro—Fuzzy Systems
Leszek Rutkowski and Krzysztof Cpałka, Compromise Weighted Neuro—Fuzzy Systems, Physica, Heidelberg, 557-562, 2003, Cites: 5
A fuzzy relational system with linguistic antecedent certainty factors
Rafał Scherer and Leszek Rutkowski, A fuzzy relational system with linguistic antecedent certainty factors, Physica, Heidelberg, 563-569, 2003, Cites: 23
Flexible neuro-fuzzy systems
Leszek Rutkowski and Krzysztof Cpalka, Flexible neuro-fuzzy systems, IEEE, 554-574, 2003, Cites: 420
Soft techniques for bayesian classification
Robert Nowicki and Leszek Rutkowski, Soft techniques for bayesian classification, Physica, Heidelberg, 537-544, 2003, Cites: 15
Discussion of" A Hybrid Interior Point Assisted Differential Evolution Algorithm for Economic Dispatch"
L Rutkowski and K Cpalka, Discussion of" A Hybrid Interior Point Assisted Differential Evolution Algorithm for Economic Dispatch", IEEE, 967-967, 2003, Cites: 0
Interval type 2 neuro-fuzzy systems based on interval consequents
Janusz Starczewski and Leszek Rutkowski, Interval type 2 neuro-fuzzy systems based on interval consequents, Physica, Heidelberg, 570-577, 2003, Cites: 57
A hierarchical neuro-fuzzy system based on S-implications
R Nowicki and R Scherer and L Rutkowski, A hierarchical neuro-fuzzy system based on S-implications, IEEE, 321-325, 2003, Cites: 7

2002 (7)

A neuro-fuzzy controller with a compromise fuzzy reasoning
L Rutkowski and K Cpałka, A neuro-fuzzy controller with a compromise fuzzy reasoning, 297-308, 2002, Cites: 57
Rough-Neuro-Fuzzy System for Classification.
Robert Nowicki and Leszek Rutkowski, Rough-Neuro-Fuzzy System for Classification., 463-466, 2002, Cites: 11
A method for learning of hierarchical fuzzy systems
R Nowicki and R Scherer and L Rutkowski, A method for learning of hierarchical fuzzy systems, IOS Press, Amsterdam, 124-129, 2002, Cites: 23
Neuro-Fuzzy Relational Systems.
Rafal Scherer and Leszek Rutkowski, Neuro-Fuzzy Relational Systems., 44-48, 2002, Cites: 22
Flexible weighted neuro-fuzzy systems
L Rutkowski and K Cpalka, Flexible weighted neuro-fuzzy systems, IEEE, 1857-1861, 2002, Cites: 40
Compromise approach to neuro-fuzzy systems
Leszek Rutkowski and K Cpałka, Compromise approach to neuro-fuzzy systems, 85-90, 2002, Cites: 56
Neuro-Fuzzy Inference Systems of Type 2.
Janusz T Starczewski and Leszek Rutkowski, Neuro-Fuzzy Inference Systems of Type 2., 458-462, 2002, Cites: 18

2001 (3)

Connectionist structures of type 2 fuzzy inference systems
Janusz Starczewski and Leszek Rutkowski, Connectionist structures of type 2 fuzzy inference systems, Springer, Berlin, Heidelberg, 634-642, 2001, Cites: 65
A general approach to neuro-fuzzy systems
Leszek Rutkowski and Krzysztof Cpalka, A general approach to neuro-fuzzy systems, IEEE, 1428-1431, 2001, Cites: 54
Neuro-fuzzy system with inference based on bounded product
Danuta Rutkowska and Leszek Rutkowski and Robert Nowicki, Neuro-fuzzy system with inference based on bounded product, 104-109, 2001, Cites: 6

2000 (7)

Neural networks and soft computing
Leszek Rutkowski and Janusz Kacprzyk, Neural networks and soft computing, 121-152, 2000, Cites: 19
Sieci neuronowe
M Nałęcz and W Duch and J Korbicz and L Rutkowski and R Tadeusiewicz, Sieci neuronowe, 2000, Cites: 48
Flexible structures of neuro-fuzzy systems
L Rutkowski and K Cpalka, Flexible structures of neuro-fuzzy systems, 479-484, 2000, Cites: 39
On image compression by competitive neural networks and optimal linear predictors
Robert Cierniak and Leszek Rutkowski, On image compression by competitive neural networks and optimal linear predictors, Elsevier, 559-565, 2000, Cites: 61
Neuro-fuzzy architectures with various implication operators
Danuta Rutkowska and Robert Nowicki and Leszek Rutkowski, Neuro-fuzzy architectures with various implication operators, Physica, Heidelberg, 214-219, 2000, Cites: 14
Biocybernetics and biomedical engineering
W Duch and J Korbicz and L Rutkowski and R Tadeusiewicz, Biocybernetics and biomedical engineering, 2000, Cites: 29
Biocybernetyka i inżynieria biomedyczna 2000
W Duch and J Korbicz and L Rutkowski and R Tadeusiewicz, Biocybernetyka i inżynieria biomedyczna 2000, 2000, Cites: 84

1999 (2)

Singleton and non-singleton fuzzy systems with nonparametric defuzzification
D Rutkowska and R Nowicki and L Rutkowski, Singleton and non-singleton fuzzy systems with nonparametric defuzzification, Springer-Verlag, 292-301, 1999, Cites: 13
Department of Computer Engineering Technical University of Czestochowa
Danuta Rutkowska and Robert Nowicki and Leszek Rutkowski, Department of Computer Engineering Technical University of Czestochowa, Physica, 292, 1999, Cites: 0

1998 (1)

A fast training algorithm for neural networks
Jaroslaw Bilski and Leszek Rutkowski, A fast training algorithm for neural networks, IEEE, 749-753, 1998, Cites: 78

1997 (1)

Sieci neuronowe, algorytmy genetyczne i systemy rozmyte
Danuta Rutkowska and Maciej Piliński and Leszek Rutkowski, Sieci neuronowe, algorytmy genetyczne i systemy rozmyte, Wydawnictwo Naukowe PWN, 1997, Cites: 694

1996 (3)

Neural networks and semi-closed-loop predictive vector quantization for image compression
Robert Cierniak and Leszek Rutkowski, Neural networks and semi-closed-loop predictive vector quantization for image compression, IEEE, 245-248, 1996, Cites: 1
Image compression by competitive learning neural networks and predictive vector quantization
Leszek Rutkowski and Robert Cierniak, Image compression by competitive learning neural networks and predictive vector quantization, Zielona Góra: Uniwersytet Zielonogórski, 1996, Cites: 10
Sieci neuronowe i neurokomputery
L Rutkowski, Sieci neuronowe i neurokomputery, 1996, Cites: 19

1994 (1)

On pattern classification and system identification by probabilistic neural networks
L Rutkowski and T Gałkowski, On pattern classification and system identification by probabilistic neural networks, 413-422, 1994, Cites: 25

1993 (1)

Multiple Fourier series procedures for extraction of nonlinear regressions from noisy data
Leszek Rutkowski, Multiple Fourier series procedures for extraction of nonlinear regressions from noisy data, IEEE, 3062-3065, 1993, Cites: 52

1991 (1)

Identification of MISO nonlinear regressions in the presence of a wide class of disturbances
Leszek Rutkowski, Identification of MISO nonlinear regressions in the presence of a wide class of disturbances, IEEE, 214-216, 1991, Cites: 54

1989 (3)

Nonparametric identification of input signals in distributed systems
E Rafajlowicz and L Rutkowski, Nonparametric identification of input signals in distributed systems, IEEE, 1464-1465, 1989, Cites: 0
On optimal global rate of convergence of some nonparametric identification procedures.
Rutkowski Leszek and Rafajłowicz Ewaryst, On optimal global rate of convergence of some nonparametric identification procedures., 1089-1091, 1989, Cites: 68
Non-parametric learning algorithms in time-varying environments
Leszek Rutkowski, Non-parametric learning algorithms in time-varying environments, Elsevier, 129-137, 1989, Cites: 53

1988 (2)

Sequential pattern recognition procedures derived from multiple Fourier series
Leszek Rutkowski, Sequential pattern recognition procedures derived from multiple Fourier series, North-Holland, 213-216, 1988, Cites: 52
Nonparametric procedures for identification and control of linear dynamic systems
Leszek Rutkowski, Nonparametric procedures for identification and control of linear dynamic systems, IEEE, 1325-1326, 1988, Cites: 20

1986 (2)

Nonparametric fitting of multivariate functions
TOMASZ Galkowski and LESZEK Rutkowski, Nonparametric fitting of multivariate functions, IEEE, 785-787, 1986, Cites: 24
A general approach for nonparametric fitting of functions and their derivatives with applications to linear circuits identification
L Rutkowski, A general approach for nonparametric fitting of functions and their derivatives with applications to linear circuits identification, IEEE, 812-818, 1986, Cites: 53

1985 (3)

Nonparametric identification of quasi-stationary systems
Leszek Rutkowski, Nonparametric identification of quasi-stationary systems, North-Holland, 33-35, 1985, Cites: 59
Nonparametric recovery of multivariate functions with applications to system identification
T Galkowski and LESZEK Rutkowski, Nonparametric recovery of multivariate functions with applications to system identification, IEEE, 942-943, 1985, Cites: 62
Nonparametric identification of the co conversion process
L Rutkowski, Nonparametric identification of the co conversion process, Elsevier, 67-69, 1985, Cites: 1

1984 (1)

On nonparametric identification with prediction of time-varying systems
LESZEK Rutkowski, On nonparametric identification with prediction of time-varying systems, IEEE, 58-60, 1984, Cites: 54

1983 (1)

An orthogonal series estimate of time-varying regression
Wŀodzimierz Greblicki and Danuta Rutkowska and Leszek Rutkowski, An orthogonal series estimate of time-varying regression, Springer Netherlands, 215-228, 1983, Cites: 57

1982 (5)

On system identification by nonparametric function fitting
L Rutkowski, On system identification by nonparametric function fitting, IEEE, 225-227, 1982, Cites: 69
On Bayes risk consistent pattern recognition procedures in a quasi-stationary environment
Leszek Rutkowski, On Bayes risk consistent pattern recognition procedures in a quasi-stationary environment, IEEE, 84-87, 1982, Cites: 50
On-line identification of time-varying systems by nonparametric techniques
L Rutkowski, On-line identification of time-varying systems by nonparametric techniques, IEEE, 228-230, 1982, Cites: 62
Orthogonal series estimates of a regression function with applications in system identification
Leszek Rutkowski, Orthogonal series estimates of a regression function with applications in system identification, Springer, Dordrecht, 343-347, 1982, Cites: 32
Nonparametric identification of weighting function by orthogonal series method
Lossek Rutkowski, Nonparametric identification of weighting function by orthogonal series method, IEEE, 170-171, 1982, Cites: 7

1981 (2)

Density-free Bayes risk consistency of nonparametric pattern recognition procedures
WŁODZIMIERZ Greblicki and LESZEK Rutkowski, Density-free Bayes risk consistency of nonparametric pattern recognition procedures, IEEE, 482-483, 1981, Cites: 53
Sequential estimates of a regression function by orthogonal series with applications in discrimination
Leszek Rutkowski, Sequential estimates of a regression function by orthogonal series with applications in discrimination, Springer, New York, NY, 236-244, 1981, Cites: 39

1980 (1)

Sequential estimates of probability densities by orthogonal series and their application in pattern classification
L Rutkowski, Sequential estimates of probability densities by orthogonal series and their application in pattern classification, 1980, Cites: 62

Schedule