| The roots of backpropagation: from ordered derivatives to neural networks and political forecasting PJ Werbos John Wiley & Sons, 1994 | 1417 | 1994 |
| A shared task involving multi-label classification of clinical free text J Pestian, C Brew, P Matykiewicz, DJ Hovermale, N Johnson, KB Cohen, ... Biological, translational, and clinical language processing, 97-104, 2007 | 468 | 2007 |
| Survey of neural transfer functions W Duch, N Jankowski Neural computing surveys 2 (1), 163-212, 1999 | 463 | 1999 |
| A new methodology of extraction, optimization and application of crisp and fuzzy logical rules W Duch, R Adamczak, K Grabczewski IEEE Transactions on Neural Networks 12 (2), 277-306, 2001 | 421 | 2001 |
| Computational intelligence methods for rule-based data understanding W Duch, R Setiono, JM Zurada Proceedings of the IEEE 92 (5), 771-805, 2004 | 281 | 2004 |
| Feature selection for high-dimensional data—a Pearson redundancy based filter J Biesiada, W Duch Computer recognition systems 2, 242-249, 2008 | 263 | 2008 |
| Cognitive architectures: Where do we go from here? W Duch, RJ Oentaryo, M Pasquier Agi 171 (1), 122-136, 2008 | 258 | 2008 |
| Artificial intelligence approaches for rational drug design and discovery W Duch, K Swaminathan, J Meller Current pharmaceutical design 13 (14), 1497-1508, 2007 | 253 | 2007 |
| Processing text with domain-specific spreading activation methods J Pestian, P Matykiewicz, W Duch, T Glauser, RA Kowatch, ... US Patent 8,930,178, 2015 | 197 | 2015 |
| Dynamic reconfiguration of functional brain networks during working memory training K Finc, K Bonna, X He, DM Lydon-Staley, S Kühn, W Duch, DS Bassett Nature communications 11 (1), 2435, 2020 | 169 | 2020 |
| Filter methods W Duch Feature extraction: foundations and applications, 89-117, 2006 | 169 | 2006 |
| Transfer functions: hidden possibilities for better neural networks. W Duch, N Jankowski ESANN, 81-94, 2001 | 160 | 2001 |
| What is Computational Intelligence and where is it going? W Duch Challenges for computational intelligence, 1-13, 2007 | 157 | 2007 |
| Symmetric group approach to configuration interaction methods W Duch, J Karwowski Computer Physics Reports 2 (3), 93-170, 1985 | 157 | 1985 |
| Comparison of Shannon, Renyi and Tsallis entropy used in decision trees T Maszczyk, W Duch Artificial Intelligence and Soft Computing–ICAISC 2008: 9th International …, 2008 | 151 | 2008 |
| Sieci neuronowe W Duch, M Nałęcz, AL Akademicka Oficyna Wydawnicza Exit Exit, 2000 | 133 | 2000 |
| Size‐extensivity corrections in configuration interaction methods W Duch, GHF Diercksen The Journal of chemical physics 101 (4), 3018-3030, 1994 | 127 | 1994 |
| Feature Space Mapping as a universal adaptive system W Duch, GHF Diercksen Computer Physics Communications 87 (3), 341-371, 1995 | 123 | 1995 |
| Comparison of feature ranking methods based on information entropy W Duch, T Wieczorek, J Biesiada, M Blachnik 2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No …, 2004 | 122 | 2004 |
| The dancing brain: Structural and functional signatures of expert dance training AZ Burzynska, K Finc, BK Taylor, AM Knecht, AF Kramer Frontiers in human neuroscience 11, 566, 2017 | 115 | 2017 |
Włodzisław Duch, INNS FellowNicolaus Copernicus University (UMK), Torun, PolandVerified email at umk.pl
