| Application of reinforcement learning algorithms for the adaptive computation of the smoothing parameter for probabilistic neural network M Kusy, R Zajdel IEEE transactions on neural networks and learning systems 26 (9), 2163-2175, 2014 | 82 | 2014 |
| Probabilistic neural network training procedure based on Q(0)-learning algorithm in medical data classification M Kusy, R Zajdel Applied Intelligence 41, 837-854, 2014 | 49 | 2014 |
| A weighted wrapper approach to feature selection M Kusy, R Zajdel International Journal of Applied Mathematics and Computer Science 31 (4), 2021 | 8 | 2021 |
| Epoch-incremental reinforcement learning algorithms R Zajdel International Journal of Applied Mathematics and Computer Science 23 (3 …, 2013 | 8 | 2013 |
| Fusion of feature selection methods for improving model accuracy in the milling process data classification problem M Kusy, R Zajdel, J Kluska, T Zabinski 2020 International Joint Conference on Neural Networks (IJCNN), 1-8, 2020 | 7 | 2020 |
| Stateless Q-Learning Algorithm for Training of Radial Basis Function Based Neural Networks in Medical Data Classification M Kusy, R Zajdel Intelligent Systems in Technical and Medical Diagnostics, 267-278, 2014 | 7 | 2014 |
| Fuzzy Q(λ)-Learning Algorithm R Zajdel Artificial Intelligence and Soft Computing: 10th International Conference …, 2010 | 6 | 2010 |
| Epoch-incremental queue-dyna algorithm R Zajdel Artificial Intelligence and Soft Computing–ICAISC 2008: 9th International …, 2008 | 5 | 2008 |
| O doborze reguł sterowania dla regulatora rozmytego K Wiktorowicz, R Zajdel Pomiary Automatyka Kontrola 51, 44-46, 2005 | 4 | 2005 |
| A fuzzy navigation of a mobile robot K Wiktorowicz, R Zajdel SYSTEMS SCIENCE-WROCLAW- 23, 87-100, 1997 | 4 | 1997 |
| Epoch-incremental Dyna-learning and prioritized sweeping algorithms R Zajdel Neurocomputing, 2018 | 3 | 2018 |
| Weighted feature selection method for improving decisions in milling process diagnosis R Zajdel, M Kusy, J Kluska, T Zabinski International Conference on Artificial Intelligence and Soft Computing, 280-291, 2020 | 1 | 2020 |
| Application of reinforcement learning to stacked autoencoder deep network architecture optimization R Zajdel, M Kusy Artificial Intelligence and Soft Computing: 17th International Conference …, 2018 | 1 | 2018 |
| Prioritized epoch-incremental Q-learning algorithm R Zajdel Theoretical and Applied Informatics 24 (2), 159-171, 2012 | 1 | 2012 |
| Fuzzy epoch-incremental reinforcement learning algorithm R Zajdel Artificial Intelligence and Soft Computing: 11th International Conference …, 2012 | 1 | 2012 |
| Uczenie ze wzmocnieniem regulatora Takagi-Sugeno metodą elementów ASE/ACE R Zajdel Pomiary Automatyka Kontrola 51, 47-49, 2005 | 1 | 2005 |
| Wiarygodność reguł rozmytych otrzymanych w procesie uczenia R Zajdel Pomiary Automatyka Kontrola 49, 28-30, 2003 | 1 | 2003 |
| Probabilistic Neural Network Training Procedure with the Use of SARSA Algorithm M Kusy, R Zajdel Artificial Intelligence and Soft Computing: 14th International Conference …, 2015 | | 2015 |
| Epokowo-inkrementacyjny algorytm uczenia się ze wzmocnieniem wykorzystujący kryterium średniego wzmocnienia R Zajdel Pomiary Automatyka Kontrola 59 (7), 700-703, 2013 | | 2013 |
| Prioritized epoch-incremental Q-learning algorithm Priorytetowany epokowo-inkrementacyjny algorytm Q-learning R Zajdel Theoretical and Applied Informatics 24 (2), 2012 | | 2012 |
