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 | 428 | 2001 |
Feature selection with decision tree criterion K Grabczewski, N Jankowski Fifth International Conference on Hybrid Intelligent Systems (HIS'05), 6 pp., 2005 | 113 | 2005 |
Meta-learning in decision tree induction K Grąbczewski Springer International Publishing, 2014 | 107 | 2014 |
Meta-learning in computational intelligence N Jankowski, W Duch, K Grąbczewski Springer, 2011 | 102 | 2011 |
Extraction of logical rules from neural networks W Duch, R Adamczak, K Grąbczewski Neural Processing Letters 7, 211-219, 1998 | 85 | 1998 |
Mechanizing set theory: Cardinal arithmetic and the axiom of choice LC Paulson, K Grabczewski Journal of Automated Reasoning 17, 291-323, 1996 | 81 | 1996 |
Separability of Split Value Criterion with Weighted Separation Gains. K Grabczewski MLDM, 88-98, 2011 | 48 | 2011 |
A general purpose separability criterion for classification systems K Grabczewski, W Duch Proceedings of the 4th Conference on Neural Networks and Their Applications …, 1999 | 44 | 1999 |
Extraction of logical rules from training data using backpropagation networks W Duch, R Adamczak, K Grabczewski The 1st Online Workshop on Soft Computing, 19-30, 1996 | 41 | 1996 |
Universal meta-learning architecture and algorithms N Jankowski, K Grąbczewski Meta-learning in computational intelligence, 1-76, 2011 | 33 | 2011 |
Heterogeneous forests of decision trees K Grąbczewski, W Duch International Conference on Artificial Neural Networks, 504-509, 2002 | 33 | 2002 |
Fuzzy and crisp logical rule extraction methods in application to medical data W Duch, R Adamczak, K Grąbczewski, G Żal, Y Hayashi Fuzzy systems in Medicine, 593-616, 2000 | 33 | 2000 |
Versatile and efficient meta-learning architecture: Knowledge representation and management in computational intelligence K Grabczewski, N Jankowski 2007 IEEE Symposium on Computational Intelligence and Data Mining, 51-58, 2007 | 29 | 2007 |
Hybrid Neural-global Minimization Method of Logical Rule Extraction. W Duch, R Adamczak, K Grabczewski, G Zal J. Adv. Comput. Intell. Intell. Informatics 3 (5), 348-356, 1999 | 29 | 1999 |
Feature selection based on information theory filters W Duch, J Biesiada, T Winiarski, K Grudziński, K Grąbczewski Neural Networks and Soft Computing: Proceedings of the Sixth International …, 2003 | 28 | 2003 |
Transformations of symbolic data for continuous data oriented models K Grąbczewski, N Jankowski International Conference on Artificial Neural Networks, 359-366, 2003 | 24 | 2003 |
Extraction of crisp logical rules using constrained backpropagation networks W Duch, R Adamczak, K Grabczewski, M Ishikawa, H Ueda ESANN'97: European symposium on artificial neural networks (Bruges, 16-18 …, 1997 | 24 | 1997 |
Feature selection based on information theory, consistency and separability indices W Duch, K Grabczewski, T Winiarski, J Biesiada, A Kachel Proceedings of the 9th International Conference on Neural Information …, 2002 | 21 | 2002 |
Neural optimization of linguistic variables and membership functions W Duch, R Adamczak, K Grabczewski ICONIP'99. ANZIIS'99 & ANNES'99 & ACNN'99. 6th International Conference on …, 1999 | 21 | 1999 |
Heterogenous committees with competence analysis N Jankowski, K Grabczewski Fifth International Conference on Hybrid Intelligent Systems (HIS'05), 6 pp., 2005 | 20 | 2005 |