| 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 | 83 | 2014 |
| 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 | 47 | 2013 |
| 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 | 45 | 2015 |
| 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 | 42 | 2014 |
| 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 | 42 | 2013 |
| 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 | 40 | 2013 |
| 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 | 36 | 2017 |
| 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 | 26 | 2019 |
| Prediction of values of the dynamic signature features M Zalasiński, K Łapa, K Cpałka Expert Systems with Applications 104, 86-96, 2018 | 24 | 2018 |
| 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 | 22 | 2015 |
| Genetic programming algorithm for designing of control systems K Cpalka, K Łapa, A Przybył Information Technology and Control 47 (4), 668-683, 2018 | 21 | 2018 |
| 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 | 20 | 2019 |
| 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 | 20 | 2018 |
| 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 | 18 | 2016 |
| 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 | 18 | 2014 |
| 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 | 17 | 2020 |
| 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 | 17 | 2019 |
| 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 | 16 | 2020 |
| Multi-objective evolutionary instance selection for regression tasks M Kordos, K Łapa Entropy 20 (10), 746, 2018 | 16 | 2018 |
| Meta-optimization of Multi-objective Population-based Algorithms using Multi-objective Performance Metrics K Łapa Information Sciences 489, 193-204, 2019 | 15 | 2019 |
Krzysztof CpałkaCzestochowa University of Technology, Poland在 pcz.pl 的电子邮件经过验证
