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Krzysztof Cpalka
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2020 – today
- 2023
- [j29]Tacjana Niksa-Rynkiewicz
, Piotr Stomma
An Intelligent Approach to Short-Term Wind Power Prediction Using Deep Neural Networks. J. Artif. Intell. Soft Comput. Res. 13(3): 197-210 (2023) - [c63]Adam Slowik
Evolutionary Algorithms and Their Applications in Intelligent Systems. AISI 2023: 143-153 - [c62]Daniel Kucharski
Multi-population Algorithm Using Surrogate Models and Different Training Plans. ICAISC (1) 2023: 385-398 - 2022
- [j28]Krzysztof Cpalka
A population-based algorithm with the selection of evaluation precision and size of the population. Appl. Soft Comput. 115: 108154 (2022) - [j27]Krystian Lapa
Multi-Population-Based Algorithm with an Exchange of Training Plans Based on Population Evaluation. J. Artif. Intell. Soft Comput. Res. 12(4): 239-253 (2022) - [j26]Marcin Zalasinski
Evolutionary Algorithm for Selecting Dynamic Signatures Partitioning Approach. J. Artif. Intell. Soft Comput. Res. 12(4): 267-279 (2022) - [j25]Adam Slowik
Guest Editorial: Hybrid Approaches to Nature-Inspired Population-Based Intelligent Optimization for Industrial Applications. IEEE Trans. Ind. Informatics 18(1): 542-545 (2022) - [j24]Adam Slowik
Hybrid Approaches to Nature-Inspired Population-Based Intelligent Optimization for Industrial Applications. IEEE Trans. Ind. Informatics 18(1): 546-558 (2022) - [c61]Krzysztof Cpalka
A Multi-population-Based Algorithm with Different Ways of Subpopulations Cooperation. ICAISC (1) 2022: 205-218 - [c60]Marcin Zalasinski
Dynamic Signature Verification Using Selected Regions. ICAISC (2) 2022: 388-397 - 2021
- [j23]Tacjana Niksa-Rynkiewicz
Monitoring Regenerative Heat Exchanger in Steam Power Plant by Making Use of the Recurrent Neural Network. J. Artif. Intell. Soft Comput. Res. 11(2): 143-155 (2021) - [c59]Krystian Lapa
Population Management Approaches in the OPn Algorithm. ICAISC (1) 2021: 402-414 - [c58]Marcin Zalasinski
Dynamic Signature Vertical Partitioning Using Selected Population-Based Algorithms. ICAISC (2) 2021: 511-518 - 2020
- [j22]Marcin Zalasinski
On-Line Signature Partitioning Using a Population Based Algorithm. J. Artif. Intell. Soft Comput. Res. 10(1): 5-13 (2020) - [j21]Krystian Lapa, Krzysztof Cpalka, Lukasz Laskowski, Andrzej Cader
Evolutionary Algorithm with a Configurable Search Mechanism. J. Artif. Intell. Soft Comput. Res. 10(3): 151-171 (2020) - [j20]Marcin Zalasinski
An Algorithm for the Evolutionary-Fuzzy Generation of on-Line Signature Hybrid Descriptors. J. Artif. Intell. Soft Comput. Res. 10(3): 173-187 (2020) - [j19]Adam Slowik
Introduction to the Special Issue on Nature-Inspired Optimization Methods in Fuzzy Systems. IEEE Trans. Fuzzy Syst. 28(6): 1019-1022 (2020) - [j18]Adam Slowik
Multipopulation Nature-Inspired Algorithm (MNIA) for the Designing of Interpretable Fuzzy Systems. IEEE Trans. Fuzzy Syst. 28(6): 1125-1139 (2020) - [c57]Marcin Zalasinski
An interpretable fuzzy system in the on-line signature scalable verification. FUZZ-IEEE 2020: 1-9 - [c56]Krystian Lapa
A Population-Based Method with Selection of a Search Operator. ICAISC (1) 2020: 429-444 - [c55]Marcin Zalasinski
Signature Partitioning Using Selected Population-Based Algorithms. ICAISC (1) 2020: 480-488 - [c54]Marcin Zalasinski
The Dynamic Signature Verification Using population-Based Vertical Partitioning. ICONIP (1) 2020: 569-579
2010 – 2019
- 2019
- [j17]Krystian Lapa
Algorithm Based on Population With a Flexible Search Mechanism. IEEE Access 7: 132253-132270 (2019) - [c53]Krystian Lapa, Krzysztof Cpalka
Hybrid Multi-population Based Approach for Controllers Structure and Parameters Selection. ICAISC (1) 2019: 456-468 - [c52]Marcin Zalasinski
The Method of Predicting Changes of a Dynamic Signature Using Possibilities of Population-Based Algorithms. ICAISC (1) 2019: 540-549 - 2018
- [j16]Marcin Zalasinski
Prediction of values of the dynamic signature features. Expert Syst. Appl. 104: 86-96 (2018) - [j15]Marcin Zalasinski
A new method for signature verification based on selection of the most important partitions of the dynamic signature. Neurocomputing 289: 13-22 (2018) - [j14]Krzysztof Cpalka
Genetic Programming Algorithm for Designing of Control Systems. Inf. Technol. Control. 47(4): 668-683 (2018) - [j13]Krystian Lapa
Flexible Fuzzy PID Controller (FFPIDC) and a Nature-Inspired Method for Its Construction. IEEE Trans. Ind. Informatics 14(3): 1078-1088 (2018) - [c51]Krystian Lapa
New Aspects of Interpretability of Fuzzy Systems for Nonlinear Modeling. Advances in Data Analysis with Computational Intelligence Methods 2018: 225-264 - [c50]Krystian Lapa
Evolutionary Approach for Automatic Design of PID Controllers. Advances in Data Analysis with Computational Intelligence Methods 2018: 353-373 - [c49]Marcin Zalasinski
Fuzzy-Genetic Approach to Identity Verification Using a Handwritten Signature. Advances in Data Analysis with Computational Intelligence Methods 2018: 375-394 - [c48]Marcin Zalasinski
Stability of Features Describing the Dynamic Signature Biometric Attribute. ICAISC (2) 2018: 250-261 - [c47]Krystian Lapa
Negative Space-Based Population Initialization Algorithm (NSPIA). ICAISC (1) 2018: 449-461 - 2017
- [b1]Krzysztof Cpalka:
Design of Interpretable Fuzzy Systems. Studies in Computational Intelligence 684, Springer 2017, ISBN 978-3-319-52880-9, pp. 1-193 - [c46]Krystian Lapa
A Method for Nonlinear Fuzzy Modelling Using Population Based Algorithm with Flexibly Selectable Operators. ICAISC (1) 2017: 263-278 - [c45]Krystian Lapa
Fuzzy PID Controllers with FIR Filtering and a Method for Their Construction. ICAISC (2) 2017: 292-307 - [c44]Krystian Lapa
Hybrid Initialization in the Process of Evolutionary Learning. ICAISC (1) 2017: 380-393 - [c43]Marcin Zalasinski
Stability Evaluation of the Dynamic Signature Partitions Over Time. ICAISC (1) 2017: 733-746 - [c42]Marcin Zalasinski
A Method for Genetic Selection of the Most Characteristic Descriptors of the Dynamic Signature. ICAISC (1) 2017: 747-760 - [c41]Marcin Zalasinski
A Method for Changes Prediction of the Dynamic Signature Global Features over Time. ICAISC (1) 2017: 761-772 - [c40]Marcin Zalasinski
A Method for Genetic Selection of the Dynamic Signature Global Features' Subset. ISAT (1) 2017: 73-82 - [c39]Krystian Lapa
PID-Fuzzy Controllers with Dynamic Structure and Evolutionary Method for Their Construction. ISAT (1) 2017: 138-148 - 2016
- [j12]Lukasz Bartczuk, Andrzej Przybyl
A New Approach to Nonlinear Modelling of Dynamic Systems Based on Fuzzy Rules. Int. J. Appl. Math. Comput. Sci. 26(3): 603-621 (2016) - [j11]Krzysztof Cpalka
A new algorithm for identity verification based on the analysis of a handwritten dynamic signature. Appl. Soft Comput. 43: 47-56 (2016) - [c38]Marcin Zalasinski
A New Approach to the Dynamic Signature Verification Aimed at Minimizing the Number of Global Features. ICAISC (2) 2016: 218-231 - [c37]Krystian Lapa
New Approach for Nonlinear Modelling Based on Online Designing of the Fuzzy Rule Base. ICAISC (1) 2016: 230-247 - [c36]Marcin Zalasinski
An Idea of the Dynamic Signature Verification Based on a Hybrid Approach. ICAISC (2) 2016: 232-246 - [c35]Krystian Lapa
New Approach for Interpretability of Neuro-Fuzzy Systems with Parametrized Triangular Norms. ICAISC (1) 2016: 248-265 - [c34]Krystian Lapa, Krzysztof Cpalka, Petia D. Koprinkova-Hristova
New Method for Fuzzy Nonlinear Modelling Based on Genetic Programming. ICAISC (1) 2016: 432-449 - [c33]Krystian Lapa
Weighted Fuzzy Genetic Programming Algorithm for Structure and Parameters Selection of Fuzzy Systems for Nonlinear Modelling. ISAT (1) 2016: 157-174 - [i1]Krzysztof Cpalka, Marcin Zalasinski, Leszek Rutkowski:
A new algorithm for identity verification based on the analysis of a handwritten dynamic signature. CoRR abs/1610.01578 (2016) - 2015
- [j10]Krzysztof Cpalka
A new approach to design of control systems using genetic programming. Inf. Technol. Control. 44(4): 433-442 (2015) - [c32]Marcin Zalasinski
A New Method for the Dynamic Signature Verification Based on the Stable Partitions of the Signature. ICAISC 2015: 161-174 - [c31]Marcin Zalasinski
New Fast Algorithm for the Dynamic Signature Verification Using Global Features Values. ICAISC 2015: 175-188 - [c30]Krystian Lapa
A New Interpretability Criteria for Neuro-Fuzzy Systems for Nonlinear Classification. ICAISC (1) 2015: 448-468 - [c29]Krystian Lapa
On the Application of a Hybrid Genetic-Firework Algorithm for Controllers Structure and Parameters Selection. ISAT (1) 2015: 111-123 - [c28]Marcin Zalasinski
New Algorithm for On-line Signature Verification Using Characteristic Hybrid Partitions. ISAT (4) 2015: 147-157 - [c27]Krystian Lapa
Nonlinear Pattern Classification Using Fuzzy System and Hybrid Genetic-Imperialist Algorithm. ISAT (4) 2015: 159-171 - 2014
- [j9]Krzysztof Cpalka
On-line signature verification using vertical signature partitioning. Expert Syst. Appl. 41(9): 4170-4180 (2014) - [j8]Krzysztof Cpalka
A new method for designing neuro-fuzzy systems for nonlinear modelling with interpretability aspects. Neurocomputing 135: 203-217 (2014) - [j7]Krzysztof Cpalka
New method for the on-line signature verification based on horizontal partitioning. Pattern Recognit. 47(8): 2652-2661 (2014) - [c26]Marcin Zalasinski
New Method for Dynamic Signature Verification Using Hybrid Partitioning. ICAISC (2) 2014: 216-230 - [c25]Krystian Lapa
New Method for Design of Fuzzy Systems for Nonlinear Modelling Using Different Criteria of Interpretability. ICAISC (1) 2014: 217-232 - [c24]Marcin Zalasinski
New Method for Dynamic Signature Verification Based on Global Features. ICAISC (2) 2014: 231-245 - [c23]Robert K. Nowicki
The learning of neuro-fuzzy approximator with fuzzy rough sets in case of missing features. IJCNN 2014: 3759-3766 - 2013
- [j6]Krzysztof Cpalka
On design of flexible neuro-fuzzy systems for nonlinear modelling. Int. J. Gen. Syst. 42(6): 706-720 (2013) - [c22]Jacek Szczypta, Andrzej Przybyl
Some Aspects of Evolutionary Designing Optimal Controllers. ICAISC (2) 2013: 91-100 - [c21]Marcin Zalasinski
New Algorithm for Evolutionary Selection of the Dynamic Signature Global Features. ICAISC (2) 2013: 113-121 - [c20]Krystian Lapa
A New Method for Designing and Complexity Reduction of Neuro-fuzzy Systems for Nonlinear Modelling. ICAISC (1) 2013: 329-344 - [c19]Marcin Zalasinski
New Approach for the On-Line Signature Verification Based on Method of Horizontal Partitioning. ICAISC (2) 2013: 342-350 - [c18]Marcin Zalasinski
Novel Algorithm for the On-Line Signature Verification Using Selected Discretization Points Groups. ICAISC (1) 2013: 493-502 - [c17]Krystian Lapa
A New Approach to Designing Interpretable Models of Dynamic Systems. ICAISC (2) 2013: 523-534 - 2012
- [j5]Leszek Rutkowski
Novel Online Speed Profile Generation for Industrial Machine Tool Based on Flexible Neuro-Fuzzy Approximation. IEEE Trans. Ind. Electron. 59(2): 1238-1247 (2012) - [c16]Marcin Zalasinski, Krzysztof Cpalka:
Novel Algorithm for the On-Line Signature Verification. ICAISC (2) 2012: 362-367 - [c15]Andrzej Przybyl, Krzysztof Cpalka:
A New Method to Construct of Interpretable Models of Dynamic Systems. ICAISC (2) 2012: 697-705 - 2011
- [c14]Krzysztof Cpalka
On Designing of Flexible Neuro-Fuzzy Systems for Nonlinear Modelling. RSFDGrC 2011: 147-154 - 2010
- [c13]Krzysztof Cpalka
On Automatic Design of Neuro-fuzzy Systems. ICAISC (1) 2010: 43-48 - [c12]Leszek Rutkowski
Online Speed Profile Generation for Industrial Machine Tool Based on Neuro-fuzzy Approach. ICAISC (2) 2010: 645-650
2000 – 2009
- 2009
- [j4]Krzysztof Cpalka
A New Method for Design and Reduction of Neuro-Fuzzy Classification Systems. IEEE Trans. Neural Networks 20(4): 701-714 (2009) - [c11]Krzysztof Cpalka
A New Method for Complexity Reduction of Neuro-fuzzy Systems with Application to Differential Stroke Diagnosis. ICANN (2) 2009: 435-444 - [r1]Leszek Rutkowski, Krzysztof Cpalka, Robert Nowicki, Agata Pokropinska, Rafal Scherer
Neuro-fuzzy Systems. Encyclopedia of Complexity and Systems Science 2009: 6086-6099 - 2008
- [c10]Krzysztof Cpalka
Evolutionary learning of flexible neuro-fuzzy systems. FUZZ-IEEE 2008: 969-975 - [c9]Krzysztof Cpalka
An Application of Weighted Triangular Norms to Complexity Reduction of Neuro-fuzzy Systems. ICAISC 2008: 207-216 - [c8]Krzysztof Cpalka
On Differential Stroke Diagnosis by Neuro-fuzzy Structures. ICAISC 2008: 974-980 - 2007
- [c7]Krzysztof Cpalka
Rough-Neuro-Fuzzy Systems for Classification. FOCI 2007: 1-8 - 2006
- [c6]Krzysztof Cpalka
A New Method for Designing and Reduction of Neuro-Fuzzy Systems. FUZZ-IEEE 2006: 1851-1857 - [c5]Krzysztof Cpalka
A Method for Designing Flexible Neuro-fuzzy Systems. ICAISC 2006: 212-219 - 2005
- [j3]Leszek Rutkowski
Designing and learning of adjustable quasi-triangular norms with applications to neuro-fuzzy systems. IEEE Trans. Fuzzy Syst. 13(1): 140-151 (2005) - 2004
- [c4]Leszek Rutkowski
Neuro-fuzzy systems derived from quasi-triangular norms. FUZZ-IEEE 2004: 1031-1036 - [c3]Krzysztof Cpalka, Leszek Rutkowski
Fuzzy Modelling with a Compromise Fuzzy Reasoning. ICAISC 2004: 284-289 - 2003
- [j2]Leszek Rutkowski
Flexible neuro-fuzzy systems. IEEE Trans. Neural Networks 14(3): 554-574 (2003) - [j1]Leszek Rutkowski
Errata to "Flexible neuro-fuzzy systems". IEEE Trans. Neural Networks 14(4): 967 (2003) - [c2]Krzysztof Cpalka:
A Flexible Connectionist Fuzzy System. PPAM 2003: 618-625 - 2001
- [c1]Leszek Rutkowski, Krzysztof Cpalka:
A General Approach to Neuro-Fuzzy Systems. FUZZ-IEEE 2001: 1428-1431
Coauthor Index
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