2008 |
21 | EE | Marcin Bartoszewski,
Halina Kwasnicka,
Urszula Markowska-Kaczmar,
Pawel B. Myszkowski:
Extraction of Emotional Content from Music Data.
CISIM 2008: 293-299 |
20 | EE | Halina Kwasnicka,
Dorota Szul,
Urszula Markowska-Kaczmar,
Pawel B. Myszkowski:
Learning Assistant - Personalizing Learning Paths in e-Learning Environments.
CISIM 2008: 308-314 |
19 | EE | Pawel B. Myszkowski,
Halina Kwasnicka,
Urszula Markowska-Kaczmar:
Data Mining Techniques in e-Learning CelGrid System.
CISIM 2008: 315-319 |
18 | EE | Urszula Markowska-Kaczmar,
Arletta Hurej:
Evaluation of Subspace Clustering Quality.
HAIS 2008: 400-407 |
17 | EE | Urszula Markowska-Kaczmar,
Halina Kwasnicka,
Marcin Szczepkowski:
Genetic Algorithm as a Tool for Stock Market Modelling.
ICAISC 2008: 450-459 |
16 | EE | Urszula Markowska-Kaczmar:
Evolutionary Approaches to Rule Extraction from Neural Networks.
Engineering Evolutionary Intelligent Systems 2008: 177-209 |
15 | EE | Urszula Markowska-Kaczmar,
Bartosz Kordas:
Multi-class iteratively refined negative selection classifier.
Appl. Soft Comput. 8(2): 972-984 (2008) |
2007 |
14 | EE | Jerzy Sas,
Urszula Markowska-Kaczmar:
Semi-automatic Training Sets Acquisition for Handwriting Recognition.
CAIP 2007: 531-538 |
13 | EE | Jerzy Sas,
Urszula Markowska-Kaczmar:
Semi-Supervised Handwritten Word Segmentation Using Character Samples Similarity Maximization and Evolutionary Algorithm.
CISIM 2007: 316-321 |
2006 |
12 | EE | Urszula Markowska-Kaczmar,
Katarzyna Czeczot:
Creativity of Neural Networks.
ICAISC 2006: 86-93 |
11 | EE | Michal Glomba,
Urszula Markowska-Kaczmar:
IBUSCA: A Grid-based Bottom-up Subspace Clustering Algorithm.
ISDA (1) 2006: 671-676 |
10 | EE | Urszula Markowska-Kaczmar,
Rafal Matkowski:
Experimental Study of Evolutionary Based Method of Rule Extraction from Neural Networks in Medical Data.
Industrial Conference on Data Mining 2006: 76-90 |
9 | EE | Jan Kwiatkowski,
Marcin Pawlik,
Urszula Markowska-Kaczmar,
Dariusz Konieczny:
Performance Evaluation of Different Kohenen Network Parallelization Techniques.
PARELEC 2006: 331-336 |
8 | EE | Urszula Markowska-Kaczmar,
Krystyna Mularczyk:
GA-Based Pareto Optimization for Rule Extraction from Neural Networks.
Multi-Objective Machine Learning 2006: 313-338 |
2005 |
7 | EE | Urszula Markowska-Kaczmar:
The Influence of Parameters in Evolutionary Based Rule Extraction Method from Neural Network.
ISDA 2005: 106-111 |
6 | EE | Urszula Markowska-Kaczmar,
Pawel Kubacki:
Support Vector Machines in Handwritten Digits Classification.
ISDA 2005: 406-411 |
5 | EE | Urszula Markowska-Kaczmar,
Wojciech Trelak:
Fuzzy logic and evolutionary algorithm - two techniques in rule extraction from neural networks.
Neurocomputing 63: 359-379 (2005) |
2004 |
4 | EE | Urszula Markowska-Kaczmar,
Pawel Wnuk-Lipinski:
Rule Extraction from Neural Network by Genetic Algorithm with Pareto Optimization.
ICAISC 2004: 450-455 |
3 | EE | Urszula Markowska-Kaczmar,
Marcin Chumieja:
Discovering the Mysteries of Neural Networks.
Int. J. Hybrid Intell. Syst. 1(3-4): 153-163 (2004) |
2003 |
2 | EE | Urszula Markowska-Kaczmar,
Wojciech Trelak:
Extraction of fuzzy rules from trained neural network using evolutionary algorithm.
ESANN 2003: 149-154 |
1 | | Urszula Markowska-Kaczmar,
Marcin Chumieja:
Opening Neural Network Black Box by Evolutionary Approach.
HIS 2003: 147-156 |