Krzysztof Cpałka

Artykuły naukowe w czasopismach

Adam Słowik, Krzysztof Cpałka, Yu Xue, Aneta Hapka, An efficient approach to parameter extraction of photovoltaic cell models using a new population-based algorithm, Applied Energy, vol. 364, p. 123208, 2024.
Tacjana Niksa-Rynkiewicz, Piotr Stomma, Anna Witkowska, Danuta Rutkowska, Adam Słowik, Krzysztof Cpałka, Joanna Jaworek-Korjakowska, Piotr Kolendo, An intelligent approach to short-term wind power prediction using deep neural networks, Journal of Artificial Intelligence and Soft Computing Research, vol. 13, no. 3, pp. 197-210, 2023.
Krystian Łapa, Krzysztof Cpałka, Marek Kisiel-Dorohinicki, Józef Paszkowski, Maciej Dębski, Van-Hung Le, Multi-population-based algorithm with an exchange of training plans based on population evaluation, Journal of Artificial Intelligence and Soft Computing Research, vol. 12, no. 4, pp. 239-253, 2022.
Marcin Zalasiński, Łukasz Laskowski, Tacjana Niksa-Rynkiewicz, Krzysztof Cpałka, Aleksander Byrski, Krzysztof Przybyszewski, Paweł Trippner, Shi Dong, Evolutionary algorithm for selecting dynamic signatures partitioning approach, Journal of Artificial Intelligence and Soft Computing Research, vol. 12, no. 4, pp. 267-279, 2022.
Adam Słowik, Krzysztof Cpałka, Hybrid Approaches to Nature-inspired Population-based Intelligent Optimization for Industrial Applications, IEEE Transactions on Industrial Informatics, vol. 18, issue 1, pp. 546 - 558, 2022, DOI 10.1109/TII.2021.3067719.
Adam Słowik, Krzysztof Cpałka, Guest Editorial: Hybrid Approaches to Nature-Inspired Population-Based Intelligent Optimization for Industrial Applications, IEEE Transactions on Industrial Informatics, vol. 18, issue 1, pp. 542-545, 2022, DOI 10.1109/TII.2021.3091137.
Adam Słowik, Krzysztof Cpałka, Krystian Łapa, A population-based algorithm with the selection of evaluation precision and size of the population, Applied Soft Computing Journal, vol. 115, 2022, DOI 10.1016/j.asoc.2021.108154.
Andrii Fedorchuk, Alain Walcarius, Magdalena Laskowska, Neus Vila, Paweł Kowalczyk, Krzysztof Cpałka, Łukasz Laskowski, Synthesis of Vertically Aligned Porous Silica Thin Films Functionalized by Silver Ions, International Journal of Molecular Sciences, vol. 22, no. 14, 2021.
Dominika Kuźma, Paweł Kowalczyk, Krzysztof Cpałka, Łukasz Laskowski, A low-dimensional layout of magnetic units as molecular systems of combinatorial logic: numerical simulations, Materials, vol. 14, no. 11, 2021.
Tacjana Niksa-Rynkiewicz, Natalia Szewczuk-Krypa, Anna Witkowska, Krzysztof Cpałka, Marcin Zalasiński, 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, vol. 11, no. 2, pp. 143-155, 2021.
Andrii Fedorchuk, Alain Walcarius, Magdalena Laskowska, Neus Vila, Paweł Kowalczyk, Krzysztof Cpałka, Łukasz Laskowski, Synthesis of Vertically Aligned Porous Silica Thin Films Functionalized by Silver Ions, International Journal of Molecular Sciences, vol. 22, no. 14, 2021.
Dominika Kuźma, Paweł Kowalczyk, Krzysztof Cpałka, Łukasz Laskowski, A low-dimensional layout of magnetic units as molecular systems of combinatorial logic: numerical simulations, Materials, vol. 14, no. 11, 2021.
Magdalena Laskowska, Iwan Kityk, Oleksandr Pastukh, Mateusz Dulski, Maciej Zubko, Jarosław Jędryka, Krzysztof Cpałka, Piotr M. Zielinski, Lukasz Laskowski, Nanocomposite for photonics – nickel pyrophosphate nanocrystals synthesised in silica nanoreactors, Nanoscale, Microporous and Mesoporous Materials, vol. 306, 2020.
Łukasz Laskowski, Anna Majtyka-Piłat, Krzysztof Cpałka, Maciej Zubko, Magdalena Laskowska, Synthesis in Silica Nanoreactor: Copper Pyrophosphate Quantum Dots and Silver Oxide Nanocrystallites Inside Silica Mezochannels, Materials 2020 (1996-1944), vol. 13, 2020.
Krystian Łapa, Krzysztof Cpałka, Łukasz Laskowski, Andrzej Cader, Zhigang Zeng, Evolutionary Algorithm with a Configurable Search Mechanism, Journal of Artificial Intelligence and Soft Computing Research, vol. 10, no. 3, pp. 151-171, 2020.
Marcin Zalasiński, Krzysztof Cpałka, Łukasz Laskowski, Donald C. Wunsch II, Krzysztof Przybyszewski, An algorithm for the evolutionary-fuzzy generation of on-line signature hybrid descriptors, Journal of Artificial Intelligence and Soft Computing Research, vol. 10, no. 3, pp. 173-187, 2020.
Adam Słowik, Krzysztof Cpałka, Yaochu Jin, Introduction to the Special Issue on Nature-Inspired Optimization Methods in Fuzzy Systems, IEEE Transactions on Fuzzy Systems, vol. 28, issue 6, pp. 1019-1022, 2020 DOI 10.1109/TFUZZ.2020.2983712.
Adam Słowik, Krzysztof Cpałka, Krystian Łapa, Multi-Population Nature-Inspired Algorithm (MNIA) for the Designing of Interpretable Fuzzy Systems, IEEE Transactions on Fuzzy Systems, 2020.
Marcin Zalasiński, Krystian Łapa, Krzysztof Cpałka, Krzysztof Przybyszewski, Gary G. Yen, On-line signature partitioning using population based algorithm, Journal of Artificial Intelligence and Soft Computing Research, vol. 10, no. 1, pp. 5-13, 2020.
Krystian Łapa, Krzysztof Cpałka, Marcin Zalasiński, Algorithm Based on Population with a Flexible Search Mechanism, IEEE Access, vol. 7, pp. 132253-132270, 2019.
Krystian Łapa, Krzysztof Cpałka, Andrzej Przybył, Genetic Programming Algorithm for Designing of Control Systems, Information Technology and Control, vol. 47, no. 5, pp. 668-683, 2018.
Marcin Zalasiński, Krystian Łapa, Krzysztof Cpałka, Prediction of values of the dynamic signature features, Expert Systems with Applications, vol. 104, pp. 86-96, 2018.
Marcin Zalasiński, Krzysztof Cpałka, A new method for signature verification based on selection of the most important partitions of the dynamic signature, Neurocomputing, vol. 289, pp. 13-22, 2018.
Krystian Łapa, Krzysztof Cpałka, Flexible fuzzy PID controller (FFPIDC) and a nature-inspired method for its construction, IEEE Transactions on Industrial Informatics, vol. 14, issue 3, pp. 1078–1088, 2018.
Krzysztof Cpałka, Marcin Zalasiński, Leszek Rutkowski, A new algorithm for identity verification based on the analysis of a handwritten dynamic signature, Applied Soft Computing, vol. 43, pp. 47-56, 2016.
Łukasz Bartczuk, Andrzej Przybył, Krzysztof Cpałka, A new approach to nonlinear modelling of dynamic objects based on fuzzy rules, International Journal of Applied Mathematics and Computer Science (AMCS), vol. 26, no. 3, 2016, pp. 603-621.
Krzysztof Cpałka, Krystian Łapa, Andrzej Przybył, A New Approach to Design of Control Systems Using Genetic Programming, Information Technology and Control, vol. 44, no. 4, pp. 433-442, 2015.
Krzysztof Cpałka, Krystian Łapa, Andrzej Przybył, Marcin Zalasiński, A new method for designing neuro-fuzzy systems for nonlinear modelling with interpretability aspects, Neurocomputing, vol. 135, pp. 203-217, 2014.
Krzysztof Cpałka, Marcin Zalasiński, On-line signature verification using vertical signature partitioning, Expert Systems with Applications, vol. 41, issue 9, pp. 4170-4180, 2014.
Krzysztof Cpałka, Marcin Zalasiński, Leszek Rutkowski, New method for the on-line signature verification based on horizontal partitioning, Pattern Recognition, vol. 47, pp. 2652–2661, 2014.
Krzysztof Cpałka, Olga Rebrova, Robert Nowicki, Leszek Rutkowski, On Design of Flexible Neuro-Fuzzy Systems for Nonlinear Modelling, International Journal of General Systems, vol. 42, issue 6, 2013, pp. 706-720.
Leszek Rutkowski, Andrzej Przybył, Krzysztof Cpałka, Novel on-line speed profile generation for industrial machine tool based on flexible neuro-fuzzy approximation, IEEE Transactions on Industrial Electronics, vol. 59, issue 2, pp. 1238-1247, 2012.
Krzysztof Cpałka, New methods for designing and reduction of neuro-fuzzy systems, Journal of Applied Computer Science Methods, vol. 2, no. 2, pp. 113-126, 2010.
Krzysztof Cpałka, A New Method for Design and Reduction of Neuro-Fuzzy Classification Systems, IEEE Transactions on Neural Networks, 2009, vol. 20, no. 4, pp. 701-714.
Krzysztof Cpałka, On evolutionary designing and learning of flexible neuro-fuzzy structures for nonlinear classification, Nonlinear Analysis Series A: Theory, Methods and Applications, Elsevier 71 (2009) 1659-1672 (Digital Object Identifier: 10.1016/j.na.2009.02.028).
Krzysztof Cpałka, Leszek Rutkowski, A New Method for Complexity Reduction of Neuro-Fuzzy Systems, WSEAS Transactions on Systems, 2006, issue 11, vol. 5, pp. 2514-2521.
Krzysztof Cpalka, Leszek Rutkowski, Flexible neuro-fuzzy structures for pattern classification, WSEAS Transactions on Computers, 2005, issue 7, vol. 4, pp. 679-688.
Krzysztof Cpalka, Leszek Rutkowski, Flexible Takagi-Sugeno Neuro-Fuzzy Structures for Nonlinear Approximation, WSEAS Transactions on Systems, 2005, issue 9, vol. 4, pp.1450-1458.
Leszek Rutkowski, Krzysztof Cpałka, Designing and learning of adjustable quasi-triangular norms with applications to neuro-fuzzy systems, IEEE Transactions on Fuzzy Systems, 2005, vol. 13, no. 1, pp. 140-151.
Krzysztof Cpałka, Leszek Rutkowski, Neuro-fuzzy systems based on weighted triangular norms, WSEAS Transactions on Systems, 2004, issue 5, vol. 3, pp. 2017-2020.
Leszek Rutkowski, Krzysztof Cpałka, A Flexible Approach To Fuzzy Modelling, Automatyka, Kraków 2004, tom 8, zeszyt 3, pp. 247-252.
Leszek Rutkowski, Krzysztof Cpałka, Flexible neuro-fuzzy systems, IEEE Transactions on Neural Networks, 2003, vol. 14, no. 3, pp. 554-574.
Leszek Rutkowski, Krzysztof Cpałka, A neuro-fuzzy controller with a compromise fuzzy reasoning, Control and Cybernetics, 2002, vol. 31, no. 2, pp. 297-308.

Artykuły naukowe pozostałe

Adam Słowik, Krzysztof Cpałka, Aboul Ella Hassanien, Evolutionary Algorithms and Their Applications in Intelligent Systems, Proc. of the 9th International Conference on Advanced Intelligent Systems and Informatics 2023, Springer Nature Switzerland, Cham, 2023, pp. 143-153.
Daniel Kucharski, Krzysztof Cpałka, Multi-population algorithm using surrogate models and different training plans, Artificial Intelligence and Soft Computing, Lecture Notes in Computer Science, vol. 14125, Springer, 2023, pp. 385-398.
Krzysztof Cpałka, Krystian Łapa, Leszek Rutkowski, A multi-population-based algorithm with different ways of subpopulations cooperation, Artificial Intelligence and Soft Computing, Lecture Notes in Computer Science, Springer, 2022, pp. 205-218.
Marcin Zalasiński, Piotr Duda, Stanisław Lota, Krzysztof Cpałka, Dynamic signature verification using selected regions, Artificial Intelligence and Soft Computing, Lecture Notes in Computer Science, vol. 13589, Springer, 2022, pp. 388-397.
Krystian Łapa, Adam Słowik, Krzysztof Cpałka, Population management approaches in the OPn algorithm, Artificial Intelligence and Soft Computing, Lecture Notes in Computer Science, vol. 12854, Springer, 2021, pp. 402-414.
Marcin Zalasiński, Tacjana Niksa-Rynkiewicz, Krzysztof Cpałka, Dynamic signature vertical partitioning using selected population-based algorithms, Artificial Intelligence and Soft Computing, Lecture Notes in Computer Science, vol. 12855, Springer, 2021, pp. 511-518.
Marcin Zalasiński, Krzysztof Cpałka, Tacjana Niksa-Rynkiewicz, The dynamic signature verification using population-based vertical partitioning, Proc. of the 27th International Conference, ICONIP 2020, Bangkok, Thailand, November 23–27, 2020, Part I, Editors: Yang, H., Pasupa, K., Leung, A.C.-S., Kwok, J.T., Chan, J.H., King, I. (Eds.), pp. 569-579, 2020.
Marcin Zalasiński, Krzysztof Cpałka, Krystian Łapa, An interpretable fuzzy system in the on-line signature scalable verification, Proc. of the 2020 IEEE Int. Conf. on Fuzzy Systems (FUZZ-IEEE), pp. 1-9, 2020.
Krystian Łapa, Krzysztof Cpałka, Tacjana Niksa, Lipo Wang, A Population-based Method with Selection of a Search Operator, Artificial Intelligence and Soft Computing, Lecture Notes in Computer Science, vol. 12415, Springer, 2020, pp. 429-444.
Marcin Zalasiński, Krzysztof Cpałka, Tacjana Niksa-Rynkiewicz, Yoichi Hayashi, Signature partitioning using selected population-based algorithms, Artificial Intelligence and Soft Computing, Lecture Notes in Computer Science, vol. 12415, Springer, 2020, pp. 480-488.
Krystian Łapa, Krzysztof Cpałka, Population-Based Algorithms for Selecting Parameters and Structures of Various Crisp and Fuzzy Systems, Proc. of the Polskie Porozumienie na Rzecz Rozwoju Sztucznej Inteligencji (PP-RAI'2019), Wrocław, Polska (16 do 18 października 2019 r.), pp. 364-367, 2019.
Marcin Zalasiński, Krzysztof Cpałka, Dynamic Signature Verification Using AI Methods, Proc. of the Polskie Porozumienie na Rzecz Rozwoju Sztucznej Inteligencji (PP-RAI'2019), Wrocław, Polska (16 do 18 października 2019 r.), pp. 352-355, 2019.
Krystian Łapa, Krzysztof Cpałka, Józef Paszkowski, Hybrid Multi-Population Based Approach for Controllers Structure and Parameters Selection, Artificial Intelligence and Soft Computing, Lecture Notes in Computer Science, vol. 11508, Springer, 2019, pp. 456-468.
Marcin Zalasiński, Krystian Łapa, Krzysztof Cpałka, Alina Marchlewska, The Method of Predicting Changes of a Dynamic Signature Using Possibilities of Population-based Algorithms, Artificial Intelligence and Soft Computing, Lecture Notes in Computer Science, vol. 11508, Springer, 2019, pp. 540-549.
Krystian Łapa, Krzysztof Cpałka, Andrzej Przybył, Konrad Grzanek, Negative Space-based Population Initialization Algorithm (NSPIA), Artificial Intelligence and Soft Computing, Lecture Notes in Computer Science, vol. 10841, Springer, 2018, pp. 449-461.
Marcin Zalasiński, Krzysztof Cpałka, Konrad Grzanek, Stability of features describing the dynamic signature biometric attribute, Artificial Intelligence and Soft Computing, Lecture Notes in Computer Science, vol. 10842, Springer, 2018, pp. 250-261.
Marcin Zalasiński, Krzysztof Cpałka, Method for Genetic Selection of the Dynamic Signature Global Features’ Subset, Advances in Intelligent Systems and Computing, vol. 655, Springer, 2018, pp. 73-82.
Krystian Łapa, Krzysztof Cpałka, PID-fuzzy controllers with dynamic structure and evolutionary method for their construction, Advances in Intelligent Systems and Computing, vol. 655, Springer, 2018, pp. 138-148.
Leszek Rutkowski, Marcin Zalasiński, Krzysztof Cpałka, Fuzzy-genetic approach to identity verification using a handwritten signature, Advances in Data Analysis and Systems Modeling with Computational Intelligence Methods, Studies in Computational Intelligence, vol. 738, Springer, 2018, pp. 375-394.
Krystian Łapa, Krzysztof Cpałka, Evolutionary Approach for Automatic Design of PID Controllers, Advances in Data Analysis and Systems Modeling with Computational Intelligence Methods, Studies in Computational Intelligence, vol. 738, Springer, 2018, pp. 353-374.
Krystian Łapa, Krzysztof Cpałka, Leszek Rutkowski, New Aspects of Interpretability of Fuzzy Systems for Nonlinear Modeling, Advances in Data Analysis and Systems Modeling with Computational Intelligence Methods, Studies in Computational Intelligence, vol. 738, Springer, 2018, pp. 225-264.
Krzysztof Cpałka, Krystian Łapa, Leszek Rutkowski, Selected interpretability aspects of fuzzy systems for classification, World Scientific, 2018. (https://www.worldscientific.com/worldscibooks/10.1142/10936, https://doi.org/10.1142/10936.
Marcin Zalasiński, Krzysztof Cpałka, Yoichi Hayashi, A method for genetic selection of the most characteristic descriptors of the dynamic signature, Artificial Intelligence and Soft Computing, Lecture Notes in Computer Science, vol. 10245, Springer, 2017, pp. 747-760.
Marcin Zalasiński, Krzysztof Cpałka, Meng Joo Er, Stability evaluation of the dynamic signature partitions over time, Artificial Intelligence and Soft Computing, Lecture Notes in Computer Science, vol. 10245, Springer, 2017, pp. 733-746.
Marcin Zalasiński, Krystian Łapa, Krzysztof Cpałka, Takamichi Saito, A method for changes prediction of the dynamic signature global features over time, Artificial Intelligence and Soft Computing, Lecture Notes in Computer Science, vol. 10245, Springer, 2017, pp. 761-772.
Krystian Łapa, Krzysztof Cpałka, Andrzej Przybył, Takamichi Saito, Fuzzy PID controllers with FIR filtering and a method for their construction, Artificial Intelligence and Soft Computing, Lecture Notes in Computer Science, vol. 10246, Springer, 2017, pp. 292-307.
Krystian Łapa, Krzysztof Cpałka, Lipo Wang, A method for nonlinear fuzzy modelling using population based algorithm with flexibly selectable operators, Artificial Intelligence and Soft Computing, Lecture Notes in Computer Science, vol. 10245, Springer, 2017, pp. 263-278.
Krystian Łapa, Krzysztof Cpałka, Yoichi Hayashi, Hybrid initialization in the process of evolutionary learning, Artificial Intelligence and Soft Computing, Lecture Notes in Computer Science, vol. 10245, Springer, 2017, pp. 380-393.
Krystian Łapa, Krzysztof Cpałka, On the application of a hybrid genetic-firework algorithm for controllers structure and parameters selection, Information Systems Architecture and Technology: Proceedings of 36th International Conference on Information Systems Architecture and Technology – ISAT 2015 – Part I, Advances in Intelligent Systems and Computing, vol. 429, Springer, 2016, pp. 111-123.
Krystian Łapa, Krzysztof Cpałka, Nonlinear pattern classification using fuzzy system and hybrid genetic-imperialist algorithm, Information Systems Architecture and Technology: Proceedings of 36th International Conference on Information Systems Architecture and Technology – ISAT 2015 – Part IV, Advances in Intelligent Systems and Computing, vol. 432, Springer, 2016, pp. 159-171.
Marcin Zalasiński, Krzysztof Cpałka, New algorithm for on-line signature verification using characteristic hybrid partitions, Information Systems Architecture and Technology: Proceedings of 36th International Conference on Information Systems Architecture and Technology – ISAT 2015 – Part IV, Advances in Intelligent Systems and Computing, vol. 432, Springer, 2016, pp. 147-157.
Krystian Łapa, Krzysztof Cpałka, Lipo Wang, New approach for interpretability of neuro-fuzzy systems with parametrized triangular norms, Artificial Intelligence and Soft Computing, Lecture Notes in Computer Science, vol. 9692, Springer, 2016, pp. 248-265.
Krystian Łapa, Krzysztof Cpałka, Petia Koprinkova-Hristova, New method for fuzzy nonlinear modelling based on genetic programming, Artificial Intelligence and Soft Computing, Lecture Notes in Computer Science, vol. 9692, Springer, 2016, pp. 432-449.
Krystian Łapa, Krzysztof Cpałka, Yoichi Hayashi, New approach for nonlinear modelling based on online designing of the fuzzy rule base, Artificial Intelligence and Soft Computing, Lecture Notes in Computer Science, vol. 9692, Springer, 2016, pp. 230-247.
Marcin Zalasiński, Krzysztof Cpałka, Elisabeth Rakus-Andersson, An idea of the dynamic signature verification based on a hybrid approach, Artificial Intelligence and Soft Computing, Lecture Notes in Computer Science, vol. 9693, Springer, 2016, pp. 232-246.
Marcin Zalasiński, Krzysztof Cpałka, Yoichi Hayashi, A new approach to the dynamic signature verification aimed at minimizing the number of global features, Artificial Intelligence and Soft Computing, Lecture Notes in Computer Science, vol. 9693, Springer, 2016, pp. 218-231.
Krystian Łapa, Krzysztof Cpałka, Weighted fuzzy genetic programming algorithm for structure and parameters selection of fuzzy systems for nonlinear modelling, Information Systems Architecture and Technology: Proceedings of 37th International Conference on Information Systems Architecture and Technology – ISAT 2016 – Part I, Advances in Intelligent Systems and Computing, vol. 521, Springer, 2016, pp. 157-174.
Krystian Łapa, Krzysztof Cpałka, Alexander Galushkin, A new interpretability criteria for neuro-fuzzy systems for nonlinear classification, Artificial Intelligence and Soft Computing, Lecture Notes in Computer Science, vol. 9119, Springer, 2015, pp. 448-468.
Marcin Zalasiński, Krzysztof Cpałka, Meng Joo Er, A new method for the dynamic signature verification based on the stable partitions of the signature, Artificial Intelligence and Soft Computing, Lecture Notes in Computer Science, vol. 9120, Springer, 2015, pp. 161-174.
Marcin Zalasiński, Krzysztof Cpałka, Yoichi Hayashi, New fast algorithm for the dynamic signature verification using global features values, Artificial Intelligence and Soft Computing, Lecture Notes in Computer Science, vol. 9120, Springer, 2015, pp. 175-188.
Krystian Łapa, Krzysztof Cpałka, Lipo Wang, New method for design of fuzzy systems for nonlinear modelling using different criteria of interpretability, Artificial Intelligence and Soft Computing, Lecture Notes in Computer Science, vol. 8467, Springer, 2014, pp. 212-227.
Marcin Zalasiński, Krzysztof Cpałka, Meng Joo Er, New method for dynamic signature verification using hybrid partitioning, Artificial Intelligence and Soft Computing, Lecture Notes in Computer Science, vol. 8467, Springer, 2014, pp. 236-250.
Marcin Zalasiński, Krzysztof Cpałka, Yoichi Hayashi, New method for dynamic signature verification based on global features, Artificial Intelligence and Soft Computing, Lecture Notes in Computer Science, vol. 8467, Springer, 2014, pp. 251-265.
Robert Nowicki, Bartosz Nowak, Janusz Starczewski, Krzysztof Cpałka, The Learning of Neuro-Fuzzy Approximator with Fuzzy Rough Sets in Case of Missing Features, Proceedings of the IEEE WCCI (World Congress on Computational Intelligence) 2014, July 6-11, Beijing, China, 2014.
Marcin Zalasiński, Krzysztof Cpałka, Novel algorithm for the on-line signature verification using selected discretization points groups, Artificial Intelligence and Soft Computing, Lecture Notes in Computer Science, vol. 7894, Springer, 2013, pp. 493-502.
Marcin Zalasiński, Krystian Łapa, Krzysztof Cpałka, New algorithm for evolutionary selection of the dynamic signature global features, Artificial Intelligence and Soft Computing, Lecture Notes in Computer Science, vol. 7895, Springer, 2013, pp. 113-121.
Marcin Zalasiński, Krzysztof Cpałka, New approach for the on-line signature verification based on method of horizontal partitioning, Artificial Intelligence and Soft Computing, Lecture Notes in Computer Science, vol. 7895, Springer, 2013, pp. 342-350.
Krystian Łapa, Marcin Zalasiński, Krzysztof Cpałka, A new method for designing and complexity reduction of neuro-fuzzy systems for nonlinear modelling, Artificial Intelligence and Soft Computing, Lecture Notes in Computer Science, vol. 7894, Springer, 2013, pp. 329-344.
Krystian Łapa, Andrzej Przybył, Krzysztof Cpałka, A new approach to designing interpretable models of dynamic systems, Artificial Intelligence and Soft Computing, Lecture Notes in Computer Science, vol. 7895, Springer, 2013, pp. 523-534.
Jacek Szczypta, Andrzej Przybył, Krzysztof Cpałka, Some aspects of evolutionary designing optimal controllers, Artificial Intelligence and Soft Computing, Lecture Notes in Computer Science, vol. 7895, Springer, 2013, pp. 91-100.
Andrzej Przybył, Krzysztof Cpałka, A new method to construct of interpretable models of dynamic systems, Artificial Intelligence and Soft Computing, Lecture Notes in Computer Science, vol. 7268, Springer, 2012, pp. 697-705.
Marcin Zalasiński, Krzysztof Cpałka, Novel algorithm for the on-line signature verification, Artificial Intelligence and Soft Computing, Lecture Notes in Computer Science, vol. 7268, Springer, 2012, pp. 362-367.
Krzysztof Cpałka, Olga Rebrova, Robert Nowicki, Leszek Rutkowski, On designing of flexible neuro-fuzzy systems for nonlinear modelling, Rough Sets, Fuzzy Sets, Data Mining and Granular Computing, Lecture Notes in Computer Science, vol. 6743, Springer, 2011, pp. 147-154.
Krzysztof Cpałka, Marek Orzyłowski, Leszek Rutkowski, Neuro-fuzzy structures and their applications, Some Aspects of Computer Science, Academic Publishing House EXIT, pp. 122-132, 2011.
Magdalena Scherer, Krzysztof Cpałka, Neuro-fuzzy-based approach to decision making support, Academic Publishing House EXIT, pp. 200-210, 2011.
Marcin Zalasiński, Krzysztof Cpałka, A new method of on-line signature verification using a flexible fuzzy one-class classifier, Academic Publishing House EXIT, pp. 38-53, 2011.
Krzysztof Cpałka, Leszek Rutkowski, Meng Joo Er, On Automatic Design of Neuro Fuzzy Systems, Artificial Intelligence and Soft Computing, Lecture Notes in Computer Science, vol. 6113, Springer, 2010, pp. 43-48.
Leszek Rutkowski, Andrzej Przybył, Krzysztof Cpałka, Meng Joo Er, Online Speed Profile Generation for Industrial Machine Tool Based on Neuro Fuzzy Approach, Artificial Intelligence and Soft Computing, Lecture Notes in Computer Science, vol. 6114, Springer, 2010, pp. 645-650.
Krzysztof Cpalka, Olga Rebrova, Leszek Rutkowski, A new method for complexity reduction of neuro-fuzzy systems with application to differential stroke diagnosis, Lecture Notes in Computer Science, Springer 2009, vol. 5769, part II, pp. 435-444.
Krzysztof Cpalka, Olga Rebrova, Leszek Rutkowski, A new method for complexity reduction of neuro-fuzzy systems with application to differential stroke diagnosis, Lecture Notes in Computer Science, Springer 2009, vol. 5769, part II, pp. 435-444.
Leszek Rutkowski, Krzysztof Cpałka, Robert Nowicki, Agata Pokropińska, Rafał Scherer, Neuro-fuzzy Systems, Janusz Kacprzyk-section editor: Soft Computing, Encyclopedia of Complexity and Systems Science, Editor-in-chief: Meyers, Robert A., Springer 2009, pp. 6086-6099.
Krzysztof Cpałka, Leszek Rutkowski, Evolutionary learning of flexible neuro-fuzzy structures, Recent Advances in Control and Automation, K. Malinowski, L. Rutkowski editors, Academic Publishing House EXIT, 2008, pp. 398-407.
Krzysztof Cpałka, Olga Rebrova, Leszek Rutkowski, On Application of Neuro-Fuzzy Systems to Differential Stroke Diagnosis, Materiały XV. Krajowej Konferencji Naukowej Biocybernetyka i Inżynieria Biomedyczna, Wrocław 12-15 września, CD, 2007.
Krzysztof Cpałka, Olga Rebrova, Tomasz Gałkowski, Leszek Rutkowski, On Differential Stroke Diagnosis by Neuro-Fuzzy Structures, Lecture Notes in Artificial Intelligence, Springer 2008, vol. 5097, pp. 974-980.
Krzysztof Cpałka, Leszek Rutkowski, An Application of Weighted Triangular Norms to Complexity Reduction of Neuro-Fuzzy Systems, Lecture Notes in Artificial Intelligence, Springer 2008, vol. 5097, pp. 207-216.
Krzysztof Cpałka, Leszek Rutkowski, Evolutionary Learning of Flexible Neuro-Fuzzy Systems, Proceedings of the 2008 IEEE International Conference on Fuzzy Systems (IEEE World Congress on Computational Intelligence, WCCI 2008), Hong Kong June 1-6, CD, 2008, pp. 969-975.
Krzysztof Cpałka, Meng Joo Er, Leszek Rutkowski, New Methods for Designing Neuro-fuzzy Systems, Proceedings of the 12th WSEAS International Conference on Systems, July 2008, pp. 575-580.
Krzysztof Cpałka, Robert Nowicki, Leszek Rutkowski, Rough-Neuro-Fuzzy Systems for Classification, Proceedings of the First IEEE Symposium on Foundations of Computational Intelligence (FOCI'07), CD, 2007, pp. 1-8.
Krzysztof Cpałka, Leszek Rutkowski, On Designing of Flexible Neuro-Fuzzy Systems for Classification, Proceedings of the 6th WSEAS International Conference on Systems Theory & Scientific Computation, Athens, Greece, 2007, pp. 19-26.
Krzysztof Cpałka, Leszek Rutkowski, A New Method for Designing and Reduction of Neuro-Fuzzy Systems, Proceedings of the 2006 IEEE International Conference on Fuzzy Systems (IEEE World Congress on Computational Intelligence, WCCI 2006), Vancouver, BC, Canada, 2006, pp. 8510-8516.
Krzysztof Cpałka, A Method for Designing Flexible Neuro-fuzzy Systems, Lecture Notes in Artificial Intelligence, Springer 2006, vol. 4029, pp. 212-219.
Krzysztof Cpałka, Leszek Rutkowski, On Complexity Reduction of Neuro-Fuzzy Systems, Proceedings of the 6th WSEAS International Conference on Systems Theory & Scientific Computation, Elounda, Greece, 2006, pp. 25-32.
Krzysztof Cpałka, Flexible Takagi-Sugeno system for medical diagnosis, Materiały XIV. Krajowej Konferencji Naukowej Biocybernetyka i Inżynieria Biomedyczna, Częstochowa, 21-23 wrzesień 2005, tom 2, pp. 941-946.
Krzysztof Cpałka, Leszek Rutkowski, Neuro-fuzzy structures for pattern classification, Proceedings of the 9th WSEAS Circuits, Systems, Communications and Computers, Athens, Greece, July 14-16, 2005, CD.
Krzysztof Cpałka, Leszek Rutkowski, Flexible Takagi-Sugeno, Neuro-Fuzzy Structures, Proceedings of the 5th WSEAS International Conference on Simulation, Modeling and optimization, Corfu, August 17-19, 2005, pp. 274-277.
Krzysztof Cpałka, Leszek Rutkowski, Flexible Takagi-Sugeno Fuzzy Systems, Proceedings of the International Joint Conference on Neural Networks 2005, Montreal 2005, pp. 1764-1769.
Marcin Gabryel, Krzysztof Cpałka, Leszek Rutkowski, Evolutionary strategies for learning of neuro-fuzzy systems, Proceedings of the I Workshop on Genetic Fuzzy Systems, Granada, 2005, pp. 119-123.
Leszek Rutkowski, Krzysztof Cpałka, Neuro-fuzzy systems derived from quasi-triangular norms, Proceedings of the IEEE International Conference on Fuzzy Systems, Budapest, July 26-29, 2004, vol. 2, pp. 1031-1036.
Leszek Rutkowski, Krzysztof Cpałka, A new approach to fuzzy modeling, Materiały 4. Ukraińsko Polskiej Konferencji Mechanika Środowiska, Metody Informatyczne, Symulacje, 2004, pp. 151-155.
Krzysztof Cpałka, A Flexible Connectionist System, Lecture Notes in Computer Science, Springer 2004, vol. 3019, pp. 618-625.
Krzysztof Cpałka, Leszek Rutkowski, Fuzzy Modelling with a Compromise Fuzzy Reasoning, Lecture Notes in Artificial Intelligence, Springer 2004, vol. 3070, pp. 284-289.
Leszek Rutkowski, Krzysztof Cpałka, Compromise weighted neuro-fuzzy systems, L. Rutkowski, J. Kacprzyk editors, Neural Networks and Soft Computing, Physica-Verlag, A Springer-Verlag Company, Heidelberg, New York, 2003, pp. 557-562.
Leszek Rutkowski, Krzysztof Cpałka, A new approach to designing fuzzy systems, N.E. Mastorakis, C. Manikopoulos, G.E. Antoniou, V.M. Mladenov, I.F. Gonos editors, Recent Advances in Intelligent Systems and Signal Processing, WSEAS Press, 2003, pp. 343-347.
Krzysztof Cpałka, Sieci neuronowo-rozmyte w zagadnieniach klasyfikacji, Materiały V. Krajowej Konferencji Naukowej Inżynieria Wiedzy i Systemy Ekspertowe, Wrocław, 11-13 czerwiec 2003, CD.
Krzysztof Cpałka, Leszek Rutkowski, Sieć neuronowo-rozmyta do wspomagania diagnostyki medycznej, Materiały XIII. Krajowej Konferencji Naukowej Biocybernetyka i Inżynieria Biomedyczna, Gdańsk, 10-13 wrzesień 2003, str. 155-161.
Krzysztof Cpałka, Diagnostyka medyczna z wykorzystaniem systemu neuronowo-rozmytego w przypadku brakujących cech wyjściowych, Materiały XIII. Krajowej Konferencji Naukowej Biocybernetyka i Inżynieria Biomedyczna, Gdańsk, 10-13 wrzesień 2003, str. 162-165.
Krzysztof Cpałka, Leszek Rutkowski, Sieci neuronowo-rozmyte w diagnostyce medycznej, Materiały VI. Krajowej Konferencji Naukowo-Technicznej Diagnostyka Procesów Przemysłowych, Władysławowo 15-17 wrzesień 2003, PWNT, str. 265-268.
Krzysztof Cpałka, Leszek Rutkowski, Pattern classification with a compromise fuzzy reasoning, Proceedings of the Symposium on Methods Artificial Intelligence, AI-METH-03, Gliwice, November 5-7, 2003, pp. 117-122.
Leszek Rutkowski, Krzysztof Cpałka, Flexible weighted neuro-fuzzy systems, Proceedings 9th International Conference on Neural Information Processing (ICONIP’02), Orchid Country Club, Singapore, November 18-22, 2002, CD.
Leszek Rutkowski, Krzysztof Cpałka, Compromise approach to neuro-fuzzy systems, Peter Sincak, Jan Vascak, Vladimir Kvasnicka, Jiri Pospichal editors, Intelligent Technologies - Theory and Applications, IOS Press, 2002, vol. 76, pp. 85-90.
Leszek Rutkowski, Krzysztof Cpałka, Elastyczne systemy rozmyto-neuronowe, Materiały XIV. Krajowej Konferencji Automatyki, Zielona Góra, 24-27 czerwiec 2002, str. 813-818.
Krzysztof Cpałka, Leszek Rutkowski, Compromise neuro-fuzzy systems, Proceedings of the Fourth International Conference on Parallel Processing and Applied Mathematics, Nałęczów 2001, pp. 33-40.
Leszek Rutkowski, Krzysztof Cpałka, A general approach to neuro-fuzzy systems, Proceedings of the 10th IEEE International Conference on Fuzzy Systems, Melbourne, December 2-5, 2001, CD.
Leszek Rutkowski, Krzysztof Cpałka, Flexible structures of neuro-fuzzy systems, Quo Vadis Computational Intelligence, Studies in Fuzziness and Soft Computing, Springer 2000, vol. 54, pp. 479-484.
Krzysztof Cpałka, Leszek Rutkowski, Soft neuro-fuzzy systems, Proceedings of the Fifth Conference Neural Networks and Soft Computing, Zakopane 2000, pp. 296-301.
Robert Cierniak, Krzysztof Cpałka, Jacek Klimala, Comparison of neural networks and neuro-fuzzy systems in a medical application, Proceedings of the Fifth Conference Neural Networks and Soft Computing, Zakopane 2000, pp. 533-538.
Robert Cierniak, Krzysztof Cpałka, Jarosław Strzelczyk, Optimization of the neuro-fuzzy and the neural network system in the medical application, Proceedings of the Conference Computers in Medicine, Łódź 1999, pp. 47-51.
Robert Cierniak, Krzysztof Cpałka, The analysis of fatal heart rate using neural network and neuro-fuzzy approaches, Proceedings of the Fourth Conference Neural Networks and Their Applications, Zakopane 1999, pp. 514-520.
Danuta Rutkowska, Krzysztof Cpałka, Comparison of clustering algorithms: part I, Proceedings of the Fourth Conference Neural Networks and Their Applications, Zakopane 1999, pp. 177-184.
Danuta Rutkowska, Krzysztof Cpałka, Comparison of clustering algorithms: part II, Proceedings of the Fourth Conference Neural Networks and Their Applications, Zakopane 1999, pp. 185-190.
Robert Cierniak, Krzysztof Cpałka, “Eskulap”-system centralnej rejestracji pacjentów i kartotek w przychodni lekarskiej, Materiały XI. Konferencji Biocybernetyka i Inżynieria Biomedyczna, Warszawa 1999, tom 2, str. 638-642.
Jarosław Bilski, Krzysztof Cpałka, The extended RLS algorithm for neural network learning, Proceedings of the Third Conference Neural Networks and Their Applications, Kule 1997, pp. 77-84.
Jarosław Bilski, Krzysztof Cpałka, Comparative analysis of the RLS algorithms for neural networks learning, Proceedings of the Second Conference Neural Networks and Their Applications, Szczyrk 1996, pp. 46-52.

Książki

Artykuły naukowe w czasopismach

Artykuły naukowe pozostałe

Artykuły pozanaukowe