| Improved adaptive splitting and selection: the hybrid training method of a classifier based on a feature space partitioning K Jackowski, B Krawczyk, M Woźniak International journal of neural systems 24 (03), 1430007, 2014 | 52 | 2014 |
| Algorithm of designing compound recognition system on the basis of combining classifiers with simultaneous splitting feature space into competence areas K Jackowski, M Wozniak Pattern Analysis and Applications 12, 415-425, 2009 | 51 | 2009 |
| Some remarks on chosen methods of classifier fusion based on weighted voting M Wozniak, K Jackowski Hybrid Artificial Intelligence Systems: 4th International Conference, HAIS …, 2009 | 51 | 2009 |
| Evolutionary algorithm for decision tree induction D Jankowski, K Jackowski Computer Information Systems and Industrial Management: 13th IFIP TC8 …, 2014 | 44 | 2014 |
| Learning decision trees from data streams with concept drift D Jankowski, K Jackowski, B Cyganek Procedia computer science 80, 1682-1691, 2016 | 38 | 2016 |
| Fixed-size ensemble classifier system evolutionarily adapted to a recurring context with an unlimited pool of classifiers K Jackowski Pattern Analysis and Applications, 1-16, 2013 | 37 | 2013 |
| Method of classifier selection using the genetic approach K Jackowski, M Wozniak Expert Systems 27 (2), 114-128, 2010 | 28 | 2010 |
| New diversity measure for data stream classification ensembles K Jackowski Engineering Applications of Artificial Intelligence 74, 23–34, 2018 | 23 | 2018 |
| Electronic health record: a review M Grana, K Jackwoski 2015 IEEE international conference on bioinformatics and biomedicine (BIBM …, 2015 | 20 | 2015 |
| Cost-sensitive splitting and selection method for medical decision support system K Jackowski, B Krawczyk, M Woźniak Intelligent Data Engineering and Automated Learning-IDEAL 2012: 13th …, 2012 | 16 | 2012 |
| Migraine diagnosis support system based on classifier ensemble K Jackowski, D Jankowski, D Simić, S Simić ICT Innovations 2014: World of Data, 329-339, 2015 | 15 | 2015 |
| Dimensionality reduction, and function approximation of poly (lactic-co-glycolic acid) micro-and nanoparticle dissolution rate VK Ojha, K Jackowski, A Abraham, V Snášel International Journal of Nanomedicine, 1119-1129, 2015 | 12 | 2015 |
| A learning-based colour image segmentation with extended and compact structural tensor feature representation K Jackowski, B Cyganek Pattern Analysis and Applications 20, 401-414, 2017 | 9 | 2017 |
| Adaptive Splitting and Selection Algorithm for Regression K Jackowski New Generation Computing 33 (4), 425-448, 2015 | 6 | 2015 |
| Ensemble classifier systems for headache diagnosis K Jackowski, D Jankowski, P Ksieniewicz, D Simić, S Simić, M Woźniak Information Technologies in Biomedicine, Volume 4, 273-284, 2014 | 5 | 2014 |
| Multiple classifier system with radial basis weight function K Jackowski Hybrid Artificial Intelligence Systems: 5th International Conference, HAIS …, 2010 | 5 | 2010 |
| Fusers based on classifier response and discriminant function–comparative study M Wozniak, K Jackowski Hybrid Artificial Intelligence Systems: Third International Workshop, HAIS …, 2008 | 5 | 2008 |
| Comparison of clustering methods in cotton textile industry D Simić, K Jackowski, D Jankowski, S Simić Intelligent Data Engineering and Automated Learning–IDEAL 2015: 16th …, 2015 | 4 | 2015 |
| Application of adass ensemble approach for prediction of power plant generator tension K Jackowski, J Platos International Joint Conference SOCO’14-CISIS’14-ICEUTE’14: Bilbao, Spain …, 2014 | 4 | 2014 |
| Application of adaptive splitting and selection classifier to the spam filtering problem K Jackowski, B Krawczyk, M Woźniak Cybernetics and Systems 44 (6-7), 569-588, 2013 | 4 | 2013 |
Michal WozniakWroclaw University of Science and Technology (Politechnika Wrocławska)Verified email at pwr.edu.pl
