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Krystian Lapa
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2020 – today
- 2024
- [j17]Krystian Lapa:
Increasing the explainability and trustiness of Wang-Mendel fuzzy system for classification problems. Appl. Soft Comput. 167: 112257 (2024) - 2023
- [j16]Krystian Lapa, Danuta Rutkowska, Aleksander Byrski, Christian Napoli:
A New Approach to Detecting and Preventing Populations Stagnation Through Dynamic Changes in Multi-Population-Based Algorithms. J. Artif. Intell. Soft Comput. Res. 13(4): 289-306 (2023) - [c39]Krystian Lapa:
Multi-population-based Algorithms with Different Migration Topologies and Their Improvement by Population Re-initialization. ICAISC (1) 2023: 399-414 - 2022
- [j15]Krzysztof Cpalka, Adam Slowik, Krystian Lapa:
A population-based algorithm with the selection of evaluation precision and size of the population. Appl. Soft Comput. 115: 108154 (2022) - [j14]Krystian Lapa, Krzysztof Cpalka, Marek Kisiel-Dorohinicki, Józef Paszkowski, Maciej Debski, Van-Hung Le:
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) - [c38]Krzysztof Cpalka, Krystian Lapa, Leszek Rutkowski:
A Multi-population-Based Algorithm with Different Ways of Subpopulations Cooperation. ICAISC (1) 2022: 205-218 - 2021
- [c37]Krystian Lapa, Krzysztof Cpalka, Adam Slowik:
Population Management Approaches in the OPn Algorithm. ICAISC (1) 2021: 402-414 - 2020
- [j13]Marcin Zalasinski, Krystian Lapa, Krzysztof Cpalka, Krzysztof Przybyszewski, Gary G. Yen:
On-Line Signature Partitioning Using a Population Based Algorithm. J. Artif. Intell. Soft Comput. Res. 10(1): 5-13 (2020) - [j12]Krystian Lapa, Krzysztof Cpalka, Lukasz Laskowski, Andrzej Cader, Zhigang Zeng:
Evolutionary Algorithm with a Configurable Search Mechanism. J. Artif. Intell. Soft Comput. Res. 10(3): 151-171 (2020) - [j11]Marcin Zalasinski, Krystian Lapa, Magdalena Laskowska:
Intelligent Approach to the Prediction of Changes in Biometric Attributes. IEEE Trans. Fuzzy Syst. 28(6): 1073-1083 (2020) - [j10]Adam Slowik, Krzysztof Cpalka, Krystian Lapa:
Multipopulation Nature-Inspired Algorithm (MNIA) for the Designing of Interpretable Fuzzy Systems. IEEE Trans. Fuzzy Syst. 28(6): 1125-1139 (2020) - [c36]Marcin Zalasinski, Krzysztof Cpalka, Krystian Lapa:
An interpretable fuzzy system in the on-line signature scalable verification. FUZZ-IEEE 2020: 1-9 - [c35]Anezka Kazikova, Krystian Lapa, Michal Pluhacek, Roman Senkerik:
Cascade PID Controller Optimization Using Bison Algorithm. ICAISC (1) 2020: 406-416 - [c34]Krystian Lapa, Krzysztof Cpalka, Tacjana Niksa-Rynkiewicz, Lipo Wang:
A Population-Based Method with Selection of a Search Operator. ICAISC (1) 2020: 429-444
2010 – 2019
- 2019
- [j9]Krystian Lapa, Krzysztof Cpalka, Marcin Zalasinski:
Algorithm Based on Population With a Flexible Search Mechanism. IEEE Access 7: 132253-132270 (2019) - [j8]Tomasz Rutkowski, Krystian Lapa, Radoslaw Nielek:
On Explainable Fuzzy Recommenders and their Performance Evaluation. Int. J. Appl. Math. Comput. Sci. 29(3): 595-610 (2019) - [j7]Krystian Lapa:
Meta-optimization of multi-objective population-based algorithms using multi-objective performance metrics. Inf. Sci. 489: 193-204 (2019) - [c33]Tomasz Rutkowski, Krystian Lapa, Robert Nowicki, Radoslaw Nielek, Konrad Grzanek:
On Explainable Recommender Systems Based on Fuzzy Rule Generation Techniques. ICAISC (1) 2019: 358-372 - [c32]Krystian Lapa, Krzysztof Cpalka, Józef Paszkowski:
Hybrid Multi-population Based Approach for Controllers Structure and Parameters Selection. ICAISC (1) 2019: 456-468 - [c31]Marcin Zalasinski, Krystian Lapa, Krzysztof Cpalka, Alina Marchlewska:
The Method of Predicting Changes of a Dynamic Signature Using Possibilities of Population-Based Algorithms. ICAISC (1) 2019: 540-549 - [c30]Tomasz Rutkowski, Krystian Lapa, Maciej Jaworski, Radoslaw Nielek, Danuta Rutkowska:
On Explainable Flexible Fuzzy Recommender and Its Performance Evaluation Using the Akaike Information Criterion. ICONIP (4) 2019: 717-724 - 2018
- [j6]Miroslaw Kordos, Krystian Lapa:
Multi-Objective Evolutionary Instance Selection for Regression Tasks. Entropy 20(10): 746 (2018) - [j5]Marcin Zalasinski, Krystian Lapa, Krzysztof Cpalka:
Prediction of values of the dynamic signature features. Expert Syst. Appl. 104: 86-96 (2018) - [j4]Krzysztof Cpalka, Krystian Lapa, Andrzej Przybyl:
Genetic Programming Algorithm for Designing of Control Systems. Inf. Technol. Control. 47(4): 668-683 (2018) - [j3]Krystian Lapa, Krzysztof Cpalka:
Flexible Fuzzy PID Controller (FFPIDC) and a Nature-Inspired Method for Its Construction. IEEE Trans. Ind. Informatics 14(3): 1078-1088 (2018) - [c29]Krystian Lapa, Krzysztof Cpalka, Leszek Rutkowski:
New Aspects of Interpretability of Fuzzy Systems for Nonlinear Modeling. Advances in Data Analysis with Computational Intelligence Methods 2018: 225-264 - [c28]Krystian Lapa, Krzysztof Cpalka:
Evolutionary Approach for Automatic Design of PID Controllers. Advances in Data Analysis with Computational Intelligence Methods 2018: 353-373 - [c27]Miroslaw Kordos, Marcin Wydrzynski, Krystian Lapa:
Obtaining Pareto Front in Instance Selection with Ensembles and Populations. ICAISC (1) 2018: 438-448 - [c26]Krystian Lapa, Krzysztof Cpalka, Andrzej Przybyl, Konrad Grzanek:
Negative Space-Based Population Initialization Algorithm (NSPIA). ICAISC (1) 2018: 449-461 - 2017
- [c25]Krystian Lapa, Krzysztof Cpalka, Lipo Wang:
A Method for Nonlinear Fuzzy Modelling Using Population Based Algorithm with Flexibly Selectable Operators. ICAISC (1) 2017: 263-278 - [c24]Krystian Lapa, Krzysztof Cpalka, Andrzej Przybyl, Takamichi Saito:
Fuzzy PID Controllers with FIR Filtering and a Method for Their Construction. ICAISC (2) 2017: 292-307 - [c23]Krystian Lapa, Krzysztof Cpalka, Yoichi Hayashi:
Hybrid Initialization in the Process of Evolutionary Learning. ICAISC (1) 2017: 380-393 - [c22]Marcin Zalasinski, Krystian Lapa, Krzysztof Cpalka, Takamichi Saito:
A Method for Changes Prediction of the Dynamic Signature Global Features over Time. ICAISC (1) 2017: 761-772 - [c21]Krystian Lapa:
Population-Based Algorithm with Selectable Evolutionary Operators for Nonlinear Modeling. ISAT (1) 2017: 15-26 - [c20]Krystian Lapa, Krzysztof Cpalka:
PID-Fuzzy Controllers with Dynamic Structure and Evolutionary Method for Their Construction. ISAT (1) 2017: 138-148 - 2016
- [c19]Krystian Lapa, Krzysztof Cpalka, Yoichi Hayashi:
New Approach for Nonlinear Modelling Based on Online Designing of the Fuzzy Rule Base. ICAISC (1) 2016: 230-247 - [c18]Krystian Lapa, Krzysztof Cpalka, Lipo Wang:
New Approach for Interpretability of Neuro-Fuzzy Systems with Parametrized Triangular Norms. ICAISC (1) 2016: 248-265 - [c17]Lukasz Bartczuk, Krystian Lapa, Petia D. Koprinkova-Hristova:
A New Method for Generating of Fuzzy Rules for the Nonlinear Modelling Based on Semantic Genetic Programming. ICAISC (2) 2016: 262-278 - [c16]Krystian Lapa, Krzysztof Cpalka, Petia D. Koprinkova-Hristova:
New Method for Fuzzy Nonlinear Modelling Based on Genetic Programming. ICAISC (1) 2016: 432-449 - [c15]Krystian Lapa, Jacek Szczypta, Takamichi Saito:
Aspects of Evolutionary Construction of New Flexible PID-fuzzy Controller. ICAISC (1) 2016: 450-464 - [c14]Andrzej Przybyl, Krystian Lapa, Jacek Szczypta, Lipo Wang:
The Method of the Evolutionary Designing the Elastic Controller Structure. ICAISC (1) 2016: 476-492 - [c13]Krystian Lapa:
A New Algorithm for Online Management of Fuzzy Rules Base for Nonlinear Modeling. ISAT (1) 2016: 15-28 - [c12]Krystian Lapa:
Elastic FOPID+FIR Controller Design Using Hybrid Population-Based Algorithm. ISAT (2) 2016: 15-26 - [c11]Krystian Lapa, Krzysztof Cpalka:
Weighted Fuzzy Genetic Programming Algorithm for Structure and Parameters Selection of Fuzzy Systems for Nonlinear Modelling. ISAT (1) 2016: 157-174 - 2015
- [j2]Krzysztof Cpalka, Krystian Lapa, Andrzej Przybyl:
A new approach to design of control systems using genetic programming. Inf. Technol. Control. 44(4): 433-442 (2015) - [c10]Krystian Lapa, Jacek Szczypta, Rajasekar Venkatesan:
Aspects of Structure and Parameters Selection of Control Systems Using Selected Multi-Population Algorithms. ICAISC 2015: 247-260 - [c9]Krystian Lapa, Krzysztof Cpalka, Alexander I. Galushkin:
A New Interpretability Criteria for Neuro-Fuzzy Systems for Nonlinear Classification. ICAISC (1) 2015: 448-468 - [c8]Jacek Szczypta, Krystian Lapa:
Aspects of Structure Selection and Parameters Tuning of Control Systems Using Hybrid Genetic-Fruit Fly Algorithm. ISAT (1) 2015: 101-110 - [c7]Krystian Lapa, Krzysztof Cpalka:
On the Application of a Hybrid Genetic-Firework Algorithm for Controllers Structure and Parameters Selection. ISAT (1) 2015: 111-123 - [c6]Krystian Lapa, Krzysztof Cpalka:
Nonlinear Pattern Classification Using Fuzzy System and Hybrid Genetic-Imperialist Algorithm. ISAT (4) 2015: 159-171 - 2014
- [j1]Krzysztof Cpalka, Krystian Lapa, Andrzej Przybyl, Marcin Zalasinski:
A new method for designing neuro-fuzzy systems for nonlinear modelling with interpretability aspects. Neurocomputing 135: 203-217 (2014) - [c5]Krystian Lapa, Krzysztof Cpalka, Lipo Wang:
New Method for Design of Fuzzy Systems for Nonlinear Modelling Using Different Criteria of Interpretability. ICAISC (1) 2014: 217-232 - [c4]Jacek Szczypta, Krystian Lapa, Zhifei Shao:
Aspects of the Selection of the Structure and Parameters of Controllers Using Selected Population Based Algorithms. ICAISC (1) 2014: 440-454 - 2013
- [c3]Marcin Zalasinski, Krystian Lapa, Krzysztof Cpalka:
New Algorithm for Evolutionary Selection of the Dynamic Signature Global Features. ICAISC (2) 2013: 113-121 - [c2]Krystian Lapa, Marcin Zalasinski, Krzysztof Cpalka:
A New Method for Designing and Complexity Reduction of Neuro-fuzzy Systems for Nonlinear Modelling. ICAISC (1) 2013: 329-344 - [c1]Krystian Lapa, Andrzej Przybyl, Krzysztof Cpalka:
A New Approach to Designing Interpretable Models of Dynamic Systems. ICAISC (2) 2013: 523-534
Coauthor Index
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last updated on 2024-11-07 20:33 CET by the dblp team
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