| Rational design of small molecule inhibitors targeting the Rac GTPase-p67phox signaling axis in inflammation EE Bosco, S Kumar, F Marchioni, J Biesiada, M Kordos, K Szczur, J Meller, ... Chemistry & biology 19 (2), 228-242, 2012 | 73 | 2012 |
| Do we need whatever more than k-NN? M Kordos, M Blachnik, D Strzempa Artificial Intelligence and Soft Computing: 10th International Conference …, 2010 | 49 | 2010 |
| Fusion of instance selection methods in regression tasks Á Arnaiz-González, M Blachnik, M Kordos, C García-Osorio Information Fusion 30, 69-79, 2016 | 47 | 2016 |
| Instance selection with neural networks for regression problems M Kordos, M Blachnik Artificial Neural Networks and Machine Learning–ICANN 2012: 22nd …, 2012 | 41 | 2012 |
| Optimization of Warehouse Operations with Genetic Algorithms M Kordos, J Boryczko, M Blachnik, S Golak Applied Sciences 10 (14), 4817, 2020 | 38 | 2020 |
| Variable step search algorithm for feedforward networks M Kordos, W Duch Neurocomputing 71 (13-15), 2470-2480, 2008 | 34 | 2008 |
| Training neural networks on noisy data A Rusiecki, M Kordos, T Kamiński, K Greń Artificial Intelligence and Soft Computing: 13th International Conference …, 2014 | 32 | 2014 |
| Fuzzy clustering decomposition of genetic algorithm-based instance selection for regression problems M Kordos, M Blachnik, R Scherer Information Sciences 587, 23-40, 2022 | 30 | 2022 |
| Reducing noise impact on MLP training: Techniques and algorithms to provide noise-robustness in MLP network training M Kordos, A Rusiecki Soft Computing 20, 49-65, 2016 | 30 | 2016 |
| Efficient Image Retrieval by Fuzzy Rules from Boosting and Metaheuristic M Korytkowski, R Senkerik, MM Scherer, RA Angryk, M Kordos, ... Journal of Artificial Intelligence and Soft Computing Research 10 (1), 57-69, 2020 | 29 | 2020 |
| A survey of factors influencing MLP error surface M Kordos, W Duch Control and Cybernetics 33 (4), 611-631, 2004 | 23 | 2004 |
| A new approach to neural network based stock trading strategy M Kordos, A Cwiok Intelligent Data Engineering and Automated Learning-IDEAL 2011: 12th …, 2011 | 22 | 2011 |
| Comparison of Instance Selection and Construction Methods with Various Classifiers M Blachnik, M Kordos Applied Sciences 10 (3933), 2020 | 21 | 2020 |
| Bagging of instance selection algorithms M Blachnik, M Kordos International Conference on Artificial Intelligence and Soft Computing, 40-51, 2014 | 21 | 2014 |
| Evolutionary prototype selection for multi-output regression M Kordos, Á Arnaiz-González, C García-Osorio Neurocomputing 358, 309-320, 2019 | 20 | 2019 |
| Instance selection in logical rule extraction for regression problems M Kordos, S Białka, M Blachnik Artificial Intelligence and Soft Computing: 12th International Conference …, 2013 | 18 | 2013 |
| Multi-objective evolutionary instance selection for regression tasks M Kordos, K Łapa Entropy 20 (10), 746, 2018 | 16 | 2018 |
| Data Selection for Neural Networks M Kordos Schedae Informaticae 25, 153–164, 2017 | 15 | 2017 |
| Temperature prediction in electric arc furnace with neural network tree M Kordos, M Blachnik, T Wieczorek Artificial Neural Networks and Machine Learning–ICANN 2011: 21st …, 2011 | 14 | 2011 |
| Improving MLP neural network performance by noise reduction M Kordos, A Rusiecki International Conference on Theory and Practice of Natural Computing, 133-144, 2013 | 12 | 2013 |
