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Włodzisław Duch, INNS Fellow
Włodzisław Duch, INNS Fellow
Nicolaus Copernicus University (UMK), Torun, Poland
在 umk.pl 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
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
4682007
Survey of neural transfer functions
W Duch, N Jankowski
Neural computing surveys 2 (1), 163-212, 1999
4651999
A new methodology of extraction, optimization and application of crisp and fuzzy logical rules
W Duch, R Adamczak, K Grabczewski
Neural Networks, IEEE Transactions on 12 (2), 277-306, 2001
4252001
Sieci Neuronowe. Biocybernetyka i inżynieria biomedyczna.
W Duch, J Korbicz, L Rutkowski, R Tadeusiewicz
Akademicka Oficyna Wydawnicza Exit, Warszawa 6, 850, 2000
336*2000
Computational intelligence methods for rule-based data understanding
W Duch, R Setiono, JM Zurada
Proceedings of the IEEE 92 (5), 771-805, 2004
2802004
Feature selection for high-dimensional data—a Pearson redundancy based filter
J Biesiada, W Duch
Advances in Soft Computing 45, 242-249, 2007
2662007
Cognitive Architectures: Where do we go from here?
W Duch, RJ Oentaryo, M Pasquier
Frontiers in Artificial Intelligence and Applications 171, 122-136, 2008
2612008
Artificial intelligence approaches for rational drug design and discovery
W Duch, K Swaminathan, J Meller
Current pharmaceutical design 13 (14), 1497-1508, 2007
2602007
Processing text with domain-specific spreading activation methods
JP Pestian, P Matykiewicz, W Duch, TA Glauser, RA Kowatch, ...
US Patent 10,713,440, 2020
212*2020
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
1772020
What is Computational Intelligence and where is it going?
W Duch
Challenges for computational intelligence, 1-13, 2007
1692007
Filter methods
W Duch
Feature Extraction. Studies in Fuzziness and Soft Computing, 89-117, 2006
1682006
Transfer functions: hidden possibilities for better neural networks.
W Duch, N Jankowski
Proceedings of the Ninth European Symposium on Artificial Neural Networks …, 2001
1602001
Symmetric group approach to configuration interaction methods
W Duch, J Karwowski
Computer Physics Reports 2, 92-170, 1985
1571985
Comparison of Shannon, Renyi and Tsallis entropy used in decision trees
T Maszczyk, W Duch
Lecture Notes in Computer Science 5097, 643-651, 2008
1532008
Size‐extensivity corrections in configuration interaction methods
W Duch, GHF Diercksen
The Journal of Chemical Physics 101 (4), 3018-3030, 1994
1271994
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
1242004
Feature Space Mapping as a universal adaptive system
W Duch, GHF Diercksen
Computer Physics Communications 87 (3), 341-371, 1995
1211995
Similarity-based methods: a general framework for classification, approximation and association
W Duch
Control and Cybernetics 29 (4), 937-968, 2000
1112000
Transition of the functional brain network related to increasing cognitive demands.
K Finc, K Bonna, M Lewandowska, T Wolak, J Nikadon, J Dreszer, ...
Human Brain Mapping 38 (7), 3659–3674, 2017
1012017
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