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Publications of Author

1. Urszula Markowska-Kaczmar, Wojciech Trelak
   Extraction of fuzzy rules from trained neural network using evolutionary algorithm. [Citation Graph (0, 0)][DBLP]
   ESANN, 2003, pp:149-154 [Conf]
   
2. Urszula Markowska-Kaczmar, Marcin Chumieja
   Opening Neural Network Black Box by Evolutionary Approach. [Citation Graph (0, 0)][DBLP]
   HIS, 2003, pp:147-156 [Conf]
   
3. Urszula Markowska-Kaczmar, Katarzyna Czeczot
   Creativity of Neural Networks. [Citation Graph (0, 0)][DBLP]
   ICAISC, 2006, pp:86-93 [Conf]
   
4. Urszula Markowska-Kaczmar, Pawel Wnuk-Lipinski
   Rule Extraction from Neural Network by Genetic Algorithm with Pareto Optimization. [Citation Graph (0, 0)][DBLP]
   ICAISC, 2004, pp:450-455 [Conf]
   
5. Urszula Markowska-Kaczmar, Rafal Matkowski
   Experimental Study of Evolutionary Based Method of Rule Extraction from Neural Networks in Medical Data. [Citation Graph (0, 0)][DBLP]
   Industrial Conference on Data Mining, 2006, pp:76-90 [Conf]
   
6. Urszula Markowska-Kaczmar
   The Influence of Parameters in Evolutionary Based Rule Extraction Method from Neural Network. [Citation Graph (0, 0)][DBLP]
   ISDA, 2005, pp:106-111 [Conf]
   
7. Urszula Markowska-Kaczmar, Pawel Kubacki
   Support Vector Machines in Handwritten Digits Classification. [Citation Graph (0, 0)][DBLP]
   ISDA, 2005, pp:406-411 [Conf]
   
8. Michal Glomba, Urszula Markowska-Kaczmar
   IBUSCA: A Grid-based Bottom-up Subspace Clustering Algorithm. [Citation Graph (0, 0)][DBLP]
   ISDA (1), 2006, pp:671-676 [Conf]
   
9. Jan Kwiatkowski, Marcin Pawlik, Urszula Markowska-Kaczmar, Dariusz Konieczny
   Performance Evaluation of Different Kohenen Network Parallelization Techniques. [Citation Graph (0, 0)][DBLP]
   PARELEC, 2006, pp:331-336 [Conf]
   
10. Urszula Markowska-Kaczmar, Marcin Chumieja
    Discovering the Mysteries of Neural Networks. [Citation Graph (0, 0)][DBLP]
    Int. J. Hybrid Intell. Syst., 2004, v:1, n:3-4, pp:153-163 [Journal]
    
11. Urszula Markowska-Kaczmar, Wojciech Trelak
    Fuzzy logic and evolutionary algorithm - two techniques in rule extraction from neural networks. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2005, v:63, n:, pp:359-379 [Journal]
    
12. Jerzy Sas, Urszula Markowska-Kaczmar
    Semi-automatic Training Sets Acquisition for Handwriting Recognition. [Citation Graph (0, 0)][DBLP]
    CAIP, 2007, pp:531-538 [Conf]
    
13. Jerzy Sas, Urszula Markowska-Kaczmar
    Semi-Supervised Handwritten Word Segmentation Using Character Samples Similarity Maximization and Evolutionary Algorithm. [Citation Graph (0, 0)][DBLP]
    CISIM, 2007, pp:316-321 [Conf]
    
14. 
    Genetic Algorithm as a Tool for Stock Market Modelling. [Citation Graph (, )][DBLP]
    
    
15. 
    Combined Unsupervised-Supervised Classification Method. [Citation Graph (, )][DBLP]
    
    
16. 
    Capillary Abnormalities Detection Using Vessel Thickness and Curvature Analysis. [Citation Graph (, )][DBLP]
    
    
17. 
    Data Mining Techniques in e-Learning CelGrid System. [Citation Graph (, )][DBLP]
    
    
18. 
    Learning Assistant - Personalizing Learning Paths in e-Learning Environments. [Citation Graph (, )][DBLP]
    
    
19. 
    Extraction of Emotional Content from Music Data. [Citation Graph (, )][DBLP]
    
    
20. 
    Biologically Inspired Agent System Based on Spiking Neural Network. [Citation Graph (, )][DBLP]
    
    
21. 
    Evaluation of Subspace Clustering Quality. [Citation Graph (, )][DBLP]
    
    
22. 
    Localization of cancerous changes in images of breast tissue. [Citation Graph (, )][DBLP]
    
    
23. 
    Kohonen's neural network and evolutionary algorithms in searching for financial investment strategy. [Citation Graph (, )][DBLP]
    
    
24. 
    Discovery of technical analysis patterns. [Citation Graph (, )][DBLP]
    
    
25. 
    Multi-class iteratively refined negative selection classifier. [Citation Graph (, )][DBLP]
    
    
26. 
    Flocking behaviour in simple ecosystems as a result of artificial evolution. [Citation Graph (, )][DBLP]