A General Approach to Neuro-Fuzzy Systems. - Leszek Rutkowski; Krzysztof Cpalka (FUZZ-IEEE, 2001)

A Flexible Connectionist Fuzzy System. - Krzysztof Cpalka (PPAM, 2003)

Flexible neuro-fuzzy systems. - Leszek Rutkowski; Krzysztof Cpalka (IEEE Trans. Neural Networks, 2003)

Errata to "Flexible neuro-fuzzy systems". - Leszek Rutkowski; Krzysztof Cpalka (IEEE Trans. Neural Networks, 2003)

Neuro-fuzzy systems derived from quasi-triangular norms. - Leszek Rutkowski; Krzysztof Cpalka (FUZZ-IEEE, 2004)

Fuzzy Modelling with a Compromise Fuzzy Reasoning. - Krzysztof Cpalka; Leszek Rutkowski (ICAISC, 2004)

Flexible Takagi-Sugeno fuzzy systems. - Krzysztof Cpalka; Leszek Rutkowski (IJCNN, 2005)

Designing and learning of adjustable quasi-triangular norms with applications to neuro-fuzzy systems. - Leszek Rutkowski; Krzysztof Cpalka (IEEE Trans. Fuzzy Syst., 2005)

A New Method for Designing and Reduction of Neuro-Fuzzy Systems. - Krzysztof Cpalka; Leszek Rutkowski (FUZZ-IEEE, 2006)

A Method for Designing Flexible Neuro-fuzzy Systems. - Krzysztof Cpalka (ICAISC, 2006)

Rough-Neuro-Fuzzy Systems for Classification. - Krzysztof Cpalka; Robert Nowicki; Leszek Rutkowski (FOCI, 2007)

Evolutionary learning of flexible neuro-fuzzy systems. - Krzysztof Cpalka; Leszek Rutkowski (FUZZ-IEEE, 2008)

An Application of Weighted Triangular Norms to Complexity Reduction of Neuro-fuzzy Systems. - Krzysztof Cpalka; Leszek Rutkowski (ICAISC, 2008)

On Differential Stroke Diagnosis by Neuro-fuzzy Structures. - Krzysztof Cpalka; Olga Yu. Rebrova; Tomasz Galkowski; Leszek Rutkowski (ICAISC, 2008)

A New Method for Complexity Reduction of Neuro-fuzzy Systems with Application to Differential Stroke Diagnosis. - Krzysztof Cpalka; Olga Yu. Rebrova; Leszek Rutkowski (ICANN (2), 2009)

A New Method for Design and Reduction of Neuro-Fuzzy Classification Systems. - Krzysztof Cpalka (IEEE Trans. Neural Networks, 2009)

Neuro-fuzzy Systems. - Leszek Rutkowski; Krzysztof Cpalka; Robert Nowicki; Agata Pokropinska; Rafal Scherer (Encyclopedia of Complexity and Systems Science, 2009)

On Automatic Design of Neuro-fuzzy Systems. - Krzysztof Cpalka; Leszek Rutkowski; Meng Joo Er (ICAISC (1), 2010)

Online Speed Profile Generation for Industrial Machine Tool Based on Neuro-fuzzy Approach. - Leszek Rutkowski; Andrzej Przybyl; Krzysztof Cpalka; Meng Joo Er (ICAISC (2), 2010)

On Designing of Flexible Neuro-Fuzzy Systems for Nonlinear Modelling. - Krzysztof Cpalka; Olga Yu. Rebrova; Robert Nowicki; Leszek Rutkowski (RSFDGrC, 2011)

A New Method to Construct of Interpretable Models of Dynamic Systems. - Andrzej Przybyl; Krzysztof Cpalka (ICAISC (2), 2012)

Novel Algorithm for the On-Line Signature Verification. - Marcin Zalasinski; Krzysztof Cpalka (ICAISC (2), 2012)

Novel Online Speed Profile Generation for Industrial Machine Tool Based on Flexible Neuro-Fuzzy Approximation. - Leszek Rutkowski; Andrzej Przybyl; Krzysztof Cpalka (IEEE Trans. Ind. Electron., 2012)

A New Approach to Designing Interpretable Models of Dynamic Systems. - Krystian Lapa; Andrzej Przybyl; Krzysztof Cpalka (ICAISC (2), 2013)

A New Method for Designing and Complexity Reduction of Neuro-fuzzy Systems for Nonlinear Modelling. - Krystian Lapa; Marcin Zalasinski; Krzysztof Cpalka (ICAISC (1), 2013)

Some Aspects of Evolutionary Designing Optimal Controllers. - Jacek Szczypta; Andrzej Przybyl; Krzysztof Cpalka (ICAISC (2), 2013)

Novel Algorithm for the On-Line Signature Verification Using Selected Discretization Points Groups. - Marcin Zalasinski; Krzysztof Cpalka (ICAISC (1), 2013)

New Approach for the On-Line Signature Verification Based on Method of Horizontal Partitioning. - Marcin Zalasinski; Krzysztof Cpalka (ICAISC (2), 2013)

New Algorithm for Evolutionary Selection of the Dynamic Signature Global Features. - Marcin Zalasinski; Krystian Lapa; Krzysztof Cpalka (ICAISC (2), 2013)

On design of flexible neuro-fuzzy systems for nonlinear modelling. - Krzysztof Cpalka; Olga Yu. Rebrova; Robert Nowicki; Leszek Rutkowski (Int. J. Gen. Syst., 2013)

New Method for Design of Fuzzy Systems for Nonlinear Modelling Using Different Criteria of Interpretability. - Krystian Lapa; Krzysztof Cpalka; Lipo Wang (ICAISC (1), 2014)

New Method for Dynamic Signature Verification Using Hybrid Partitioning. - Marcin Zalasinski; Krzysztof Cpalka; Meng Joo Er (ICAISC (2), 2014)

New Method for Dynamic Signature Verification Based on Global Features. - Marcin Zalasinski; Krzysztof Cpalka; Yoichi Hayashi (ICAISC (2), 2014)

The learning of neuro-fuzzy approximator with fuzzy rough sets in case of missing features. - Robert K. Nowicki; Bartosz A. Nowak; Janusz T. Starczewski; Krzysztof Cpalka (IJCNN, 2014)

On-line signature verification using vertical signature partitioning. - Krzysztof Cpalka; Marcin Zalasinski (Expert Syst. Appl., 2014)

A new method for designing neuro-fuzzy systems for nonlinear modelling with interpretability aspects. - Krzysztof Cpalka; Krystian Lapa; Andrzej Przybyl; Marcin Zalasinski (Neurocomputing, 2014)

New method for the on-line signature verification based on horizontal partitioning. - Krzysztof Cpalka; Marcin Zalasinski; Leszek Rutkowski (Pattern Recognit., 2014)

A New Interpretability Criteria for Neuro-Fuzzy Systems for Nonlinear Classification. - Krystian Lapa; Krzysztof Cpalka; Alexander I. Galushkin (ICAISC (1), 2015)

A New Method for the Dynamic Signature Verification Based on the Stable Partitions of the Signature. - Marcin Zalasinski; Krzysztof Cpalka; Meng Joo Er (ICAISC, 2015)

New Fast Algorithm for the Dynamic Signature Verification Using Global Features Values. - Marcin Zalasinski; Krzysztof Cpalka; Yoichi Hayashi (ICAISC, 2015)

On the Application of a Hybrid Genetic-Firework Algorithm for Controllers Structure and Parameters Selection. - Krystian Lapa; Krzysztof Cpalka (ISAT (1), 2015)

Nonlinear Pattern Classification Using Fuzzy System and Hybrid Genetic-Imperialist Algorithm. - Krystian Lapa; Krzysztof Cpalka (ISAT (4), 2015)

New Algorithm for On-line Signature Verification Using Characteristic Hybrid Partitions. - Marcin Zalasinski; Krzysztof Cpalka (ISAT (4), 2015)

A new approach to design of control systems using genetic programming. - Krzysztof Cpalka; Krystian Lapa; Andrzej Przybyl (Inf. Technol. Control., 2015)

New Approach for Nonlinear Modelling Based on Online Designing of the Fuzzy Rule Base. - Krystian Lapa; Krzysztof Cpalka; Yoichi Hayashi (ICAISC (1), 2016)

New Method for Fuzzy Nonlinear Modelling Based on Genetic Programming. - Krystian Lapa; Krzysztof Cpalka; Petia D. Koprinkova-Hristova (ICAISC (1), 2016)

New Approach for Interpretability of Neuro-Fuzzy Systems with Parametrized Triangular Norms. - Krystian Lapa; Krzysztof Cpalka; Lipo Wang (ICAISC (1), 2016)

A New Approach to the Dynamic Signature Verification Aimed at Minimizing the Number of Global Features. - Marcin Zalasinski; Krzysztof Cpalka; Yoichi Hayashi (ICAISC (2), 2016)

An Idea of the Dynamic Signature Verification Based on a Hybrid Approach. - Marcin Zalasinski; Krzysztof Cpalka; Elisabeth Rakus-Andersson (ICAISC (2), 2016)

Weighted Fuzzy Genetic Programming Algorithm for Structure and Parameters Selection of Fuzzy Systems for Nonlinear Modelling. - Krystian Lapa; Krzysztof Cpalka (ISAT (1), 2016)

A New Approach to Nonlinear Modelling of Dynamic Systems Based on Fuzzy Rules. - Lukasz Bartczuk; Andrzej Przybyl; Krzysztof Cpalka (Int. J. Appl. Math. Comput. Sci., 2016)

A new algorithm for identity verification based on the analysis of a handwritten dynamic signature. - Krzysztof Cpalka; Marcin Zalasinski; Leszek Rutkowski (Appl. Soft Comput., 2016)

Hybrid Initialization in the Process of Evolutionary Learning. - Krystian Lapa; Krzysztof Cpalka; Yoichi Hayashi (ICAISC (1), 2017)

Fuzzy PID Controllers with FIR Filtering and a Method for Their Construction. - Krystian Lapa; Krzysztof Cpalka; Andrzej Przybyl; Takamichi Saito (ICAISC (2), 2017)

A Method for Nonlinear Fuzzy Modelling Using Population Based Algorithm with Flexibly Selectable Operators. - Krystian Lapa; Krzysztof Cpalka; Lipo Wang (ICAISC (1), 2017)

Stability Evaluation of the Dynamic Signature Partitions Over Time. - Marcin Zalasinski; Krzysztof Cpalka; Meng Joo Er (ICAISC (1), 2017)

A Method for Genetic Selection of the Most Characteristic Descriptors of the Dynamic Signature. - Marcin Zalasinski; Krzysztof Cpalka; Yoichi Hayashi (ICAISC (1), 2017)

A Method for Changes Prediction of the Dynamic Signature Global Features over Time. - Marcin Zalasinski; Krystian Lapa; Krzysztof Cpalka; Takamichi Saito (ICAISC (1), 2017)

PID-Fuzzy Controllers with Dynamic Structure and Evolutionary Method for Their Construction. - Krystian Lapa; Krzysztof Cpalka (ISAT (1), 2017)

A Method for Genetic Selection of the Dynamic Signature Global Features' Subset. - Marcin Zalasinski; Krzysztof Cpalka (ISAT (1), 2017)

Design of Interpretable Fuzzy Systems - Krzysztof Cpalka (Springer, 2017)

Evolutionary Approach for Automatic Design of PID Controllers. - Krystian Lapa; Krzysztof Cpalka (Advances in Data Analysis with Computational Intelligence Methods, 2018)

New Aspects of Interpretability of Fuzzy Systems for Nonlinear Modeling. - Krystian Lapa; Krzysztof Cpalka; Leszek Rutkowski (Advances in Data Analysis with Computational Intelligence Methods, 2018)

Fuzzy-Genetic Approach to Identity Verification Using a Handwritten Signature. - Marcin Zalasinski; Krzysztof Cpalka; Leszek Rutkowski (Advances in Data Analysis with Computational Intelligence Methods, 2018)

Negative Space-Based Population Initialization Algorithm (NSPIA). - Krystian Lapa; Krzysztof Cpalka; Andrzej Przybyl; Konrad Grzanek (ICAISC (1), 2018)

Stability of Features Describing the Dynamic Signature Biometric Attribute. - Marcin Zalasinski; Krzysztof Cpalka; Konrad Grzanek (ICAISC (2), 2018)

Prediction of values of the dynamic signature features. - Marcin Zalasinski; Krystian Lapa; Krzysztof Cpalka (Expert Syst. Appl., 2018)

A new method for signature verification based on selection of the most important partitions of the dynamic signature. - Marcin Zalasinski; Krzysztof Cpalka (Neurocomputing, 2018)

Genetic Programming Algorithm for Designing of Control Systems. - Krzysztof Cpalka; Krystian Lapa; Andrzej Przybyl (Inf. Technol. Control., 2018)

Flexible Fuzzy PID Controller (FFPIDC) and a Nature-Inspired Method for Its Construction. - Krystian Lapa; Krzysztof Cpalka (IEEE Trans. Ind. Informatics, 2018)

Hybrid Multi-population Based Approach for Controllers Structure and Parameters Selection. - Krystian Lapa; Krzysztof Cpalka; Józef Paszkowski (ICAISC (1), 2019)

The Method of Predicting Changes of a Dynamic Signature Using Possibilities of Population-Based Algorithms. - Marcin Zalasinski; Krystian Lapa; Krzysztof Cpalka; Alina Marchlewska (ICAISC (1), 2019)

Algorithm Based on Population With a Flexible Search Mechanism. - Krystian Lapa; Krzysztof Cpalka; Marcin Zalasinski (IEEE Access, 2019)

An interpretable fuzzy system in the on-line signature scalable verification. - Marcin Zalasinski; Krzysztof Cpalka; Krystian Lapa (FUZZ-IEEE, 2020)

A Population-Based Method with Selection of a Search Operator. - Krystian Lapa; Krzysztof Cpalka; Tacjana Niksa-Rynkiewicz; Lipo Wang (ICAISC (1), 2020)

Signature Partitioning Using Selected Population-Based Algorithms. - Marcin Zalasinski; Krzysztof Cpalka; Tacjana Niksa-Rynkiewicz; Yoichi Hayashi (ICAISC (1), 2020)

The Dynamic Signature Verification Using population-Based Vertical Partitioning. - Marcin Zalasinski; Krzysztof Cpalka; Tacjana Niksa-Rynkiewicz (ICONIP (1), 2020)

Evolutionary Algorithm with a Configurable Search Mechanism. - Krystian Lapa; Krzysztof Cpalka; Lukasz Laskowski; Andrzej Cader; Zhigang Zeng (J. Artif. Intell. Soft Comput. Res., 2020)

An Algorithm for the Evolutionary-Fuzzy Generation of on-Line Signature Hybrid Descriptors. - Marcin Zalasinski; Krzysztof Cpalka; Lukasz Laskowski; Donald C. Wunsch; Krzysztof Przybyszewski (J. Artif. Intell. Soft Comput. Res., 2020)

On-Line Signature Partitioning Using a Population Based Algorithm. - Marcin Zalasinski; Krystian Lapa; Krzysztof Cpalka; Krzysztof Przybyszewski; Gary G. Yen (J. Artif. Intell. Soft Comput. Res., 2020)

Introduction to the Special Issue on Nature-Inspired Optimization Methods in Fuzzy Systems. - Adam Slowik; Krzysztof Cpalka; Yaochu Jin (IEEE Trans. Fuzzy Syst., 2020)

Multipopulation Nature-Inspired Algorithm (MNIA) for the Designing of Interpretable Fuzzy Systems. - Adam Slowik; Krzysztof Cpalka; Krystian Lapa (IEEE Trans. Fuzzy Syst., 2020)

Population Management Approaches in the OPn Algorithm. - Krystian Lapa; Krzysztof Cpalka; Adam Slowik (ICAISC (1), 2021)

Dynamic Signature Vertical Partitioning Using Selected Population-Based Algorithms. - Marcin Zalasinski; Tacjana Niksa-Rynkiewicz; Krzysztof Cpalka (ICAISC (2), 2021)

Monitoring Regenerative Heat Exchanger in Steam Power Plant by Making Use of the Recurrent Neural Network. - Tacjana Niksa-Rynkiewicz; Natalia Szewczuk-Krypa; Anna Witkowska; Krzysztof Cpalka; Marcin Zalasinski; Andrzej Cader (J. Artif. Intell. Soft Comput. Res., 2021)

A Multi-population-Based Algorithm with Different Ways of Subpopulations Cooperation. - Krzysztof Cpalka; Krystian Lapa; Leszek Rutkowski (ICAISC (1), 2022)

Dynamic Signature Verification Using Selected Regions. - Marcin Zalasinski; Piotr Duda; Stanislaw Lota; Krzysztof Cpalka (ICAISC (2), 2022)

A population-based algorithm with the selection of evaluation precision and size of the population. - Krzysztof Cpalka; Adam Slowik; Krystian Lapa (Appl. Soft Comput., 2022)

Multi-Population-Based Algorithm with an Exchange of Training Plans Based on Population Evaluation. - Krystian Lapa; Krzysztof Cpalka; Marek Kisiel-Dorohinicki; Józef Paszkowski; Maciej Debski; Van-Hung Le 002 (J. Artif. Intell. Soft Comput. Res., 2022)

Evolutionary Algorithm for Selecting Dynamic Signatures Partitioning Approach. - Marcin Zalasinski; Lukasz Laskowski; Tacjana Niksa-Rynkiewicz; Krzysztof Cpalka; Aleksander Byrski; Krzysztof Przybyszewski; Pawel Trippner; Shi Dong 001 (J. Artif. Intell. Soft Comput. Res., 2022)

Guest Editorial: Hybrid Approaches to Nature-Inspired Population-Based Intelligent Optimization for Industrial Applications. - Adam Slowik; Krzysztof Cpalka (IEEE Trans. Ind. Informatics, 2022)

Hybrid Approaches to Nature-Inspired Population-Based Intelligent Optimization for Industrial Applications. - Adam Slowik; Krzysztof Cpalka (IEEE Trans. Ind. Informatics, 2022)

Evolutionary Algorithms and Their Applications in Intelligent Systems. - Adam Slowik; Krzysztof Cpalka; Aboul Ella Hassanien (AISI, 2023)

Multi-population Algorithm Using Surrogate Models and Different Training Plans. - Daniel Kucharski; Krzysztof Cpalka (ICAISC (1), 2023)

An Intelligent Approach to Short-Term Wind Power Prediction Using Deep Neural Networks. - Tacjana Niksa-Rynkiewicz; Piotr Stomma; Anna Witkowska; Danuta Rutkowska; Adam Slowik; Krzysztof Cpalka; Joanna Jaworek-Korjakowska; Piotr Kolendo (J. Artif. Intell. Soft Comput. Res., 2023)