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Contact:
Room: 520

Position:
Full Professor

Classes:
Aplikacje klient-serwer wyk.
Programowanie obiektowe wyk.
Aplikacje WWW wyk.
Programowanie obiektowe lab.
Prof. PhD DSc Eng Krzysztof Cpałka
Office hours: poniedziałek 8:15-12:00

Papers (88)

2021 (2)

Monitoring Regenerative Heat Exchanger in Steam Power Plant by Making Use of the Recurrent Neural Network
Tacjana Niksa-Rynkiewicz and Natalia Szewczuk-Krypa and Anna Witkowska and Krzysztof Cpałka and Marcin Zalasiński and Andrzej Cader, Monitoring Regenerative Heat Exchanger in Steam Power Plant by Making Use of the Recurrent Neural Network, 143-155, 2021, Cites: 0
A Low-Dimensional Layout of Magnetic Units as Nano-Systems of Combinatorial Logic: Numerical Simulations
Dominika Kuźma and Paweł Kowalczyk and Krzysztof Cpałka and Łukasz Laskowski, A Low-Dimensional Layout of Magnetic Units as Nano-Systems of Combinatorial Logic: Numerical Simulations, Multidisciplinary Digital Publishing Institute, 2974, 2021, Cites: 0

2020 (8)

An interpretable fuzzy system in the on-line signature scalable verification
Marcin Zalasiński and Krzysztof Cpałka and Krystian Łapa, An interpretable fuzzy system in the on-line signature scalable verification, IEEE, 1-9, 2020, Cites: 0
A Population-Based Method with Selection of a Search Operator
Krystian Łapa and Krzysztof Cpałka and Tacjana Niksa-Rynkiewicz and Lipo Wang, A Population-Based Method with Selection of a Search Operator, Springer, Cham, 429-444, 2020, Cites: 0
On-line signature partitioning using a population based algorithm
Marcin Zalasiński and Krystian Łapa and Krzysztof Cpałka and Krzysztof Przybyszewski and Gary G Yen, On-line signature partitioning using a population based algorithm, 2020, Cites: 3
Nanocomposite for photonics—Nickel pyrophosphate nanocrystals synthesised in silica nanoreactors
Magdalena Laskowska and Iwan Kityk and Oleksandr Pastukh and Mateusz Dulski and Maciej Zubko and Jarosław Jedryka and Krzysztof Cpałka and Piotr M Zieliński and Łukasz Laskowski, Nanocomposite for photonics—Nickel pyrophosphate nanocrystals synthesised in silica nanoreactors, Elsevier, 110435, 2020, Cites: 2
The Dynamic Signature Verification Using population-Based Vertical Partitioning
Marcin Zalasiński and Krzysztof Cpałka and Tacjana Niksa-Rynkiewicz, The Dynamic Signature Verification Using population-Based Vertical Partitioning, Springer, Cham, 569-579, 2020, Cites: 0
Evolutionary algorithm with a configurable search mechanism
Krystian Łapa and Krzysztof Cpałka and Łukasz Laskowski and Andrzej Cader and Zhigang Zeng, Evolutionary algorithm with a configurable search mechanism, 2020, Cites: 3
Signature Partitioning Using Selected Population-Based Algorithms
Marcin Zalasiński and Krzysztof Cpałka and Tacjana Niksa-Rynkiewicz and Yoichi Hayashi, Signature Partitioning Using Selected Population-Based Algorithms, Springer, Cham, 480-488, 2020, Cites: 0
Synthesis in Silica Nanoreactor: Copper Pyrophosphate Quantum Dots and Silver Oxide Nanocrystallites Inside Silica Mezochannels
Łukasz Laskowski and Anna Majtyka-Piłat and Krzysztof Cpałka and Maciej Zubko and Magdalena Laskowska, Synthesis in Silica Nanoreactor: Copper Pyrophosphate Quantum Dots and Silver Oxide Nanocrystallites Inside Silica Mezochannels, Multidisciplinary Digital Publishing Institute, 2009, 2020, Cites: 2

2019 (4)

Algorithm Based on Population with a Flexible Search Mechanism
Krystian Łapa and Krzysztof Cpałka and Marcin Zalasiński, Algorithm Based on Population with a Flexible Search Mechanism, IEEE, 132253-132270, 2019, Cites: 2
The method of predicting changes of a dynamic signature using possibilities of population-based algorithms
Marcin Zalasiński and Krystian Łapa and Krzysztof Cpałka and Alina Marchlewska, The method of predicting changes of a dynamic signature using possibilities of population-based algorithms, Springer, Cham, 540-549, 2019, Cites: 3
Hybrid multi-population based approach for controllers structure and parameters selection
Krystian Łapa and Krzysztof Cpałka and Józef Paszkowski, Hybrid multi-population based approach for controllers structure and parameters selection, Springer, Cham, 456-468, 2019, Cites: 3
Multipopulation Nature-Inspired Algorithm (MNIA) for the Designing of Interpretable Fuzzy Systems
Adam Słowik and Krzysztof Cpałka and Krystian Łapa, Multipopulation Nature-Inspired Algorithm (MNIA) for the Designing of Interpretable Fuzzy Systems, IEEE, 1125-1139, 2019, Cites: 4

2018 (7)

Prediction of values of the dynamic signature features
Marcin Zalasiński and Krystian Łapa and Krzysztof Cpałka, Prediction of values of the dynamic signature features, Pergamon, 86-96, 2018, Cites: 14
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
Evolutionary approach for automatic design of PID controllers
Krystian Łapa and Krzysztof Cpałka, Evolutionary approach for automatic design of PID controllers, Springer, Cham, 353-373, 2018, Cites: 2
Stability of Features Describing the Dynamic Signature Biometric Attribute
Marcin Zalasiński and Krzysztof Cpałka and Konrad Grzanek, Stability of Features Describing the Dynamic Signature Biometric Attribute, Springer, Cham, 250-261, 2018, Cites: 0
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
A new method for signature verification based on selection of the most important partitions of the dynamic signature
Marcin Zalasiński and Krzysztof Cpałka, A new method for signature verification based on selection of the most important partitions of the dynamic signature, Elsevier, 13-22, 2018, Cites: 11
Negative space-based population initialization algorithm (NSPIA)
Krystian Łapa and Krzysztof Cpałka and Andrzej Przybył and Konrad Grzanek, Negative space-based population initialization algorithm (NSPIA), Springer, Cham, 449-461, 2018, Cites: 8

2017 (11)

Design of interpretable fuzzy systems
Krzysztof Cpałka, Design of interpretable fuzzy systems, Springer International Publishing, 2017, Cites: 57
A method for genetic selection of the most characteristic descriptors of the dynamic signature
Marcin Zalasiński and Krzysztof Cpałka and Yoichi Hayashi, A method for genetic selection of the most characteristic descriptors of the dynamic signature, Springer, Cham, 747-760, 2017, Cites: 4
A method for nonlinear fuzzy modelling using population based algorithm with flexibly selectable operators
Krystian Łapa and Krzysztof Cpałka and Lipo Wang, A method for nonlinear fuzzy modelling using population based algorithm with flexibly selectable operators, Springer, Cham, 263-278, 2017, Cites: 3
A method for genetic selection of the dynamic signature global features’ subset
Marcin Zalasiński and Krzysztof Cpałka, A method for genetic selection of the dynamic signature global features’ subset, Springer, Cham, 73-82, 2017, Cites: 2
Stability evaluation of the dynamic signature partitions over time
Marcin Zalasiński and Krzysztof Cpałka and Meng Joo Er, Stability evaluation of the dynamic signature partitions over time, Springer, Cham, 733-746, 2017, Cites: 3
Fuzzy PID controllers with FIR filtering and a method for their construction
Krystian Łapa and Krzysztof Cpałka and Andrzej Przybył and Takamichi Saito, Fuzzy PID controllers with FIR filtering and a method for their construction, Springer, Cham, 292-307, 2017, Cites: 4
A method for changes prediction of the dynamic signature global features over time
Marcin Zalasiński and Krystian Łapa and Krzysztof Cpałka and Takamichi Saito, A method for changes prediction of the dynamic signature global features over time, Springer, Cham, 761-772, 2017, Cites: 3
Weighted Fuzzy Genetic Programming Algorithm for Structure and Parameters Selection of Fuzzy Systems for Nonlinear Modelling
Krystian Łapa and Krzysztof Cpałka, Weighted Fuzzy Genetic Programming Algorithm for Structure and Parameters Selection of Fuzzy Systems for Nonlinear Modelling, Springer, Cham, 157-174, 2017, Cites: 0
Hybrid initialization in the process of evolutionary learning
Krystian Łapa and Krzysztof Cpałka and Yoichi Hayashi, Hybrid initialization in the process of evolutionary learning, Springer, Cham, 380-393, 2017, Cites: 4
Flexible fuzzy PID controller (FFPIDC) and a nature-inspired method for its construction
Krystian Łapa and Krzysztof Cpałka, Flexible fuzzy PID controller (FFPIDC) and a nature-inspired method for its construction, IEEE, 1078-1088, 2017, Cites: 19
PID-fuzzy controllers with dynamic structure and evolutionary method for their construction
Krystian Łapa and Krzysztof Cpałka, PID-fuzzy controllers with dynamic structure and evolutionary method for their construction, Springer, Cham, 138-148, 2017, Cites: 1

2016 (10)

New method for fuzzy nonlinear modelling based on genetic programming
Krystian Łapa and Krzysztof Cpałka and Petia Koprinkova-Hristova, New method for fuzzy nonlinear modelling based on genetic programming, Springer, Cham, 432-449, 2016, Cites: 6
Nonlinear pattern classification using fuzzy system and hybrid genetic-imperialist algorithm
Krystian Łapa and Krzysztof Cpałka, Nonlinear pattern classification using fuzzy system and hybrid genetic-imperialist algorithm, Springer, Cham, 159-171, 2016, Cites: 2
A new approach to nonlinear modelling of dynamic systems based on fuzzy rules
Łukasz Bartczuk and Andrzej Przybył and Krzysztof Cpałka, A new approach to nonlinear modelling of dynamic systems based on fuzzy rules, 2016, Cites: 30
New approach for interpretability of neuro-fuzzy systems with parametrized triangular norms
Krystian Łapa and Krzysztof Cpałka and Lipo Wang, New approach for interpretability of neuro-fuzzy systems with parametrized triangular norms, Springer, Cham, 248-265, 2016, Cites: 3
A new approach to the dynamic signature verification aimed at minimizing the number of global features
Marcin Zalasiński and Krzysztof Cpałka and Yoichi Hayashi, A new approach to the dynamic signature verification aimed at minimizing the number of global features, Springer, Cham, 218-231, 2016, Cites: 17
An idea of the dynamic signature verification based on a hybrid approach
Marcin Zalasiński and Krzysztof Cpałka and Elisabeth Rakus-Andersson, An idea of the dynamic signature verification based on a hybrid approach, Springer, Cham, 232-246, 2016, Cites: 27
New algorithm for on-line signature verification using characteristic hybrid partitions
Marcin Zalasiński and Krzysztof Cpałka, New algorithm for on-line signature verification using characteristic hybrid partitions, Springer, Cham, 147-157, 2016, Cites: 24
On the application of a hybrid genetic-firework algorithm for controllers structure and parameters selection
Krystian Łapa and Krzysztof Cpałka, On the application of a hybrid genetic-firework algorithm for controllers structure and parameters selection, Springer, Cham, 111-123, 2016, Cites: 16
New approach for nonlinear modelling based on online designing of the fuzzy rule base
Krystian Łapa and Krzysztof Cpałka and Yoichi Hayashi, New approach for nonlinear modelling based on online designing of the fuzzy rule base, Springer, Cham, 230-247, 2016, Cites: 2
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 (3)

A new method for the dynamic signature verification based on the stable partitions of the signature
Marcin Zalasiński and Krzysztof Cpałka and Meng Joo Er, A new method for the dynamic signature verification based on the stable partitions of the signature, Springer, Cham, 161-174, 2015, Cites: 17
New fast algorithm for the dynamic signature verification using global features values
Marcin Zalasiński and Krzysztof Cpałka and Yoichi Hayashi, New fast algorithm for the dynamic signature verification using global features values, Springer, Cham, 175-188, 2015, Cites: 28
A new interpretability criteria for neuro-fuzzy systems for nonlinear classification
Krystian Łapa and Krzysztof Cpałka and Alexander I Galushkin, A new interpretability criteria for neuro-fuzzy systems for nonlinear classification, Springer, Cham, 448-468, 2015, Cites: 11

2014 (7)

On-line signature verification using vertical signature partitioning
Krzysztof Cpałka and Marcin Zalasiński, On-line signature verification using vertical signature partitioning, Pergamon, 2014, Cites: 83
The learning of neuro-fuzzy approximator with fuzzy rough sets in case of missing features
Robert K Nowicki and Bartosz A Nowak and Janusz T Starczewski and Krzysztof Cpałka, The learning of neuro-fuzzy approximator with fuzzy rough sets in case of missing features, IEEE, 3759-3766, 2014, Cites: 10
New method for dynamic signature verification based on global features
Marcin Zalasiński and Krzysztof Cpałka and Yoichi Hayashi, New method for dynamic signature verification based on global features, Springer, Cham, 231-245, 2014, Cites: 35
A new method for designing neuro-fuzzy systems for nonlinear modelling with interpretability aspects
K Cpałka and K Łapa and A Przybył and M Zalasiński, A new method for designing neuro-fuzzy systems for nonlinear modelling with interpretability aspects, Elsevier, 203-217, 2014, Cites: 70
New method for dynamic signature verification using hybrid partitioning
Marcin Zalasiński and Krzysztof Cpałka and Meng Joo Er, New method for dynamic signature verification using hybrid partitioning, Springer, Cham, 216-230, 2014, Cites: 37
New method for design of fuzzy systems for nonlinear modelling using different criteria of interpretability
Krystian Łapa and Krzysztof Cpałka and Lipo Wang, New method for design of fuzzy systems for nonlinear modelling using different criteria of interpretability, Springer, Cham, 217-232, 2014, Cites: 39
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 (7)

A new method for designing and complexity reduction of neuro-fuzzy systems for nonlinear modelling
Krystian Łapa and Marcin Zalasiński and Krzysztof Cpałka, A new method for designing and complexity reduction of neuro-fuzzy systems for nonlinear modelling, Springer, Berlin, Heidelberg, 329-344, 2013, Cites: 37
Some aspects of evolutionary designing optimal controllers
Jacek Szczypta and Andrzej Przybył and Krzysztof Cpałka, Some aspects of evolutionary designing optimal controllers, Springer, Berlin, Heidelberg, 91-100, 2013, Cites: 28
New algorithm for evolutionary selection of the dynamic signature global features
Marcin Zalasiński and Krystian Łapa and Krzysztof Cpałka, New algorithm for evolutionary selection of the dynamic signature global features, Springer, Berlin, Heidelberg, 113-121, 2013, Cites: 36
New approach for the on-line signature verification based on method of horizontal partitioning
Marcin Zalasiński and Krzysztof Cpałka, New approach for the on-line signature verification based on method of horizontal partitioning, Springer, Berlin, Heidelberg, 342-350, 2013, Cites: 43
A new approach to designing interpretable models of dynamic systems
Krystian Łapa and Andrzej Przybył and Krzysztof Cpałka, A new approach to designing interpretable models of dynamic systems, Springer, Berlin, Heidelberg, 523-534, 2013, Cites: 44
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
Novel algorithm for the on-line signature verification using selected discretization points groups
Marcin Zalasiński and Krzysztof Cpałka, Novel algorithm for the on-line signature verification using selected discretization points groups, Springer, Berlin, Heidelberg, 493-502, 2013, Cites: 36

2012 (3)

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
A new method to construct of interpretable models of dynamic systems
Andrzej Przybył and Krzysztof Cpałka, A new method to construct of interpretable models of dynamic systems, Springer, Berlin, Heidelberg, 697-705, 2012, Cites: 43
Novel algorithm for the on-line signature verification
Marcin Zalasiński and Krzysztof Cpałka, Novel algorithm for the on-line signature verification, Springer, Berlin, Heidelberg, 362-367, 2012, Cites: 45

2011 (4)

Szkolenia i nowe narzędzia dla autorów kursów e-learningowych
K Cpałka and A Ulfik, Szkolenia i nowe narzędzia dla autorów kursów e-learningowych, 14-15, 2011, Cites: 2
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
A new method of on-line signature verification using a flexible fuzzy one-class classifier
M Zalasiński and K Cpałka, A new method of on-line signature verification using a flexible fuzzy one-class classifier, 38-53, 2011, Cites: 35
E-learning w Politechnice Częstochowskiej
K Cpałka and Z Kucharczyk and A Ulfik, E-learning w Politechnice Częstochowskiej, 2011, Cites: 4

2010 (3)

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
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
New Methods for Designing and Reduction of Neuro-Fuzzy Systems
Krzysztof Cpałka, New Methods for Designing and Reduction of Neuro-Fuzzy Systems, 113--126, 2010, Cites: 0

2009 (3)

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
Zagadnienie interpretowalności wiedzy i dokładności działania systemów rozmytych
Krzysztof Cpałka, Zagadnienie interpretowalności wiedzy i dokładności działania systemów rozmytych, Akademicka Oficyna Wydawnicza EXIT, 2009, Cites: 3
On evolutionary designing and learning of flexible neuro-fuzzy structures for nonlinear classification
Krzysztof Cpałka, On evolutionary designing and learning of flexible neuro-fuzzy structures for nonlinear classification, Pergamon, e1659-e1672, 2009, Cites: 66

2008 (3)

Evolutionary learning of flexible neuro-fuzzy structures
K Cpałka and L Rutkowski, Evolutionary learning of flexible neuro-fuzzy structures, 398-407, 2008, Cites: 3
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
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

2007 (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

2006 (1)

On complexity reduction of neuro-fuzzy systems
Krzysztof Cpałka and Leszek Rutkowski, On complexity reduction of neuro-fuzzy systems, 25-32, 2006, Cites: 0

2005 (2)

Evolutionary strategies for learning of neuro-fuzzy systems
M Gabryel and K Cpałka and L Rutkowski, Evolutionary strategies for learning of neuro-fuzzy systems, 123, 2005, Cites: 37
Neuro-fuzzy structures for pattern classification
Krzysztof Cpałka and Leszek Rutkowski, Neuro-fuzzy structures for pattern classification, 688-697, 2005, Cites: 12

2004 (2)

Neuro-Fuzzy Systems Based On Weighted Triangular Norms
KRZYSZTOF CPAŁKA and Leszek Rutkowski, Neuro-Fuzzy Systems Based On Weighted Triangular Norms, 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

2003 (3)

Compromise Weighted Neuro—Fuzzy Systems
Leszek Rutkowski and Krzysztof Cpałka, Compromise Weighted Neuro—Fuzzy Systems, Physica, Heidelberg, 557-562, 2003, Cites: 5
A flexible Connectionist fuzzy system
Krzysztof Cpałka, A flexible Connectionist fuzzy system, Springer, Berlin, Heidelberg, 618-625, 2003, Cites: 2
Flexible neuro-fuzzy systems
Leszek Rutkowski and Krzysztof Cpalka, Flexible neuro-fuzzy systems, IEEE, 554-574, 2003, Cites: 420

2002 (3)

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
Elastyczne systemy rozmyto-neuronowe
L Rutkowski and K Cpałka, Elastyczne systemy rozmyto-neuronowe, 2002, Cites: 3
Compromise approach to neuro-fuzzy systems
Leszek Rutkowski and K Cpałka, Compromise approach to neuro-fuzzy systems, 85-90, 2002, Cites: 56

2001 (1)

Compromise neuro-fuzzy system
K Cpałka and L Rutkowski, Compromise neuro-fuzzy system, 33-40, 2001, Cites: 3

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