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Krystian Łapa
Krystian Łapa
Verified email at iisi.pcz.pl
Title
Cited by
Cited by
Year
A new method for designing neuro-fuzzy systems for nonlinear modelling with interpretability aspects
K Cpałka, K Łapa, A Przybył, M Zalasiński
Neurocomputing 135, 203-217, 2014
822014
A new approach to designing interpretable models of dynamic systems
K Łapa, A Przybył, K Cpałka
International Conference on Artificial Intelligence and Soft Computing, 523-534, 2013
472013
A new approach to design of control systems using genetic programming
K Cpalka, K Łapa, A Przybył
Information technology and control 44 (4), 433-442, 2015
462015
New method for design of fuzzy systems for nonlinear modelling using different criteria of interpretability
K Łapa, K Cpałka, L Wang
Artificial Intelligence and Soft Computing: 13th International Conference …, 2014
422014
A new method for designing and complexity reduction of neuro-fuzzy systems for nonlinear modelling
K Łapa, M Zalasiński, K Cpałka
International Conference on Artificial Intelligence and Soft Computing, 329-344, 2013
422013
New algorithm for evolutionary selection of the dynamic signature global features
M Zalasiński, K Łapa, K Cpałka
Artificial Intelligence and Soft Computing: 12th International Conference …, 2013
402013
Flexible fuzzy PID controller (FFPIDC) and a nature-inspired method for its construction
K Łapa, K Cpałka
IEEE Transactions on Industrial Informatics 14 (3), 1078-1088, 2017
352017
On explainable fuzzy recommenders and their performance evaluation
T Rutkowski, K Łapa, R Nielek
International Journal of Applied Mathematics and Computer Science 29 (3 …, 2019
242019
Prediction of values of the dynamic signature features
M Zalasiński, K Łapa, K Cpałka
Expert Systems with Applications 104, 86-96, 2018
242018
Aspects of structure and parameters selection of control systems using selected multi-population algorithms
K Łapa, J Szczypta, R Venkatesan
Artificial Intelligence and Soft Computing: 14th International Conference …, 2015
222015
New aspects of interpretability of fuzzy systems for nonlinear modeling
K Łapa, K Cpałka, L Rutkowski
Advances in Data Analysis with Computational Intelligence Methods: Dedicated …, 2018
202018
Genetic programming algorithm for designing of control systems
K Cpalka, K Łapa, A Przybył
Information Technology and Control 47 (4), 668-683, 2018
192018
On the application of a hybrid genetic-firework algorithm for controllers structure and parameters selection
K Łapa, K Cpałka
Information Systems Architecture and Technology: Proceedings of 36th …, 2016
182016
Aspects of the selection of the structure and parameters of controllers using selected population based algorithms
J Szczypta, K Łapa, Z Shao
International Conference on Artificial Intelligence and Soft Computing, 440-454, 2014
182014
Multipopulation nature-inspired algorithm (MNIA) for the designing of interpretable fuzzy systems
A Słowik, K Cpałka, K Łapa
IEEE Transactions on Fuzzy Systems 28 (6), 1125-1139, 2019
172019
On explainable flexible fuzzy recommender and its performance evaluation using the Akaike information criterion
T Rutkowski, K Łapa, M Jaworski, R Nielek, D Rutkowska
International Conference on Neural Information Processing, 717-724, 2019
172019
Evolutionary algorithm with a configurable search mechanism
K Łapa, K Cpałka, Ł Laskowski, A Cader, Z Zeng
Journal of Artificial Intelligence and Soft Computing Research 10 (3), 151-171, 2020
162020
Multi-objective evolutionary instance selection for regression tasks
M Kordos, K Łapa
Entropy 20 (10), 746, 2018
162018
On-line signature partitioning using a population based algorithm
M Zalasiński, K Łapa, K Cpałka, K Przybyszewski, GG Yen
Journal of Artificial Intelligence and Soft Computing Research 10 (1), 5-13, 2020
152020
Meta-optimization of Multi-objective Population-based Algorithms using Multi-objective Performance Metrics
K Łapa
Information Sciences 489, 193-204, 2019
152019
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