| Fuzzy and neuro-fuzzy intelligent systems E Czogała, J Leski Springer, 2000 | 441* | 2000 |
| ECG baseline wander and powerline interference reduction using nonlinear filter bank JM Łęski, N Henzel Signal processing 85 (4), 781-793, 2005 | 255 | 2005 |
| Tool condition monitoring using artificial intelligence methods M Balazinski, E Czogala, K Jemielniak, J Leski Engineering Applications of Artificial Intelligence 15 (1), 73-80, 2002 | 226 | 2002 |
| Systemy neuronowo-rozmyte J Łęski Wydawnictwa Naukowo-Techniczne, 2008 | 178 | 2008 |
| Towards a robust fuzzy clustering J Łęski Fuzzy Sets and Systems 137 (2), 215-233, 2003 | 177 | 2003 |
| Robust weighted averaging [of biomedical signals] JM Leski IEEE Transactions on Biomedical Engineering 49 (8), 796-804, 2002 | 148 | 2002 |
| TSK-fuzzy modeling based on e-insensitive learning JM Leski Fuzzy Systems, IEEE Transactions on 13 (2), 181-193, 2005 | 128* | 2005 |
| A new artificial neural network based fuzzy inference system with moving consequents in if–then rules and selected applications J Łȩski, E Czogała Fuzzy Sets and Systems 108 (3), 289-297, 1999 | 114 | 1999 |
| Introduction to fuzzy systems R Czabanski, M Jezewski, J Leski Theory and applications of ordered fuzzy numbers: a tribute to Professor …, 2017 | 87 | 2017 |
| Fuzzy c-ordered-means clustering JM Leski Fuzzy Sets and Systems 286, 114-133, 2016 | 85 | 2016 |
| Ho–Kashyap classifier with generalization control J Łęski Pattern Recognition Letters 24 (14), 2281-2290, 2003 | 82 | 2003 |
| Generalized weighted conditional fuzzy clustering JM Leski IEEE Transactions on Fuzzy Systems 11 (6), 709-715, 2003 | 78 | 2003 |
| On equivalence of approximate reasoning results using different interpretations of fuzzy if–then rules J Łęski Fuzzy Sets and Systems 117 (2), 279-296, 2001 | 68 | 2001 |
| Detection of atrial fibrillation episodes in long-term heart rhythm signals using a support vector machine R Czabanski, K Horoba, J Wrobel, A Matonia, R Martinek, T Kupka, ... Sensors 20 (3), 765, 2020 | 63 | 2020 |
| Fuzzy (c+ p)-Means Clustering And Its Application To A Fuzzy Rule-Based Classifier: Towards Good Generalization And Good Interpretability J Leski IEEE Trans. Fuzzy Systems 23, 802-812, 2015 | 63 | 2015 |
| Fuzzy c-ordered medoids clustering for interval-valued data JM Leski Pattern Recognition 58, 49-67, 2016 | 56 | 2016 |
| Fuzzy c-varieties/elliptotypes clustering in reproducing kernel Hilbert space JM Łęski Fuzzy Sets and Systems 141 (2), 259-280, 2004 | 55 | 2004 |
| Validation of Emotiv EPOC+ for extracting ERP correlates of emotional face processing K Kotowski, K Stapor, J Leski, M Kotas Biocybernetics and Biomedical Engineering 38 (4), 773-781, 2018 | 49 | 2018 |
| e-insensitive fuzzy c-regression models: introduction to e-insensitive fuzzy modeling JM Leski Systems, Man, and Cybernetics, Part B: Cybernetics, IEEE Transactions on 34 …, 2004 | 49* | 2004 |
| Neuro-fuzzy system with learning tolerant to imprecision JM Łęski Fuzzy Sets and Systems 138 (2), 427-439, 2003 | 44 | 2003 |