| 2012 | ||
|---|---|---|
| j6 | Jerzy Sas, Urszula Markowska-Kaczmar: Similarity-based training set acquisition for continuous handwriting recognition. Inf. Sci. 191: 226-244 (2012) | |
| j5 | Bartlomiej Józef Dzienkowski, Urszula Markowska-Kaczmar: Agent Cooperation within Adversarial Teams in Dynamic Environment - Key Issues and Development Trends. T. Computational Collective Intelligence 6: 146-169 (2012) | |
| c30 | Bartlomiej Józef Dzienkowski, Urszula Markowska-Kaczmar: Plan and Goal Structure Reconstruction: An Automated and Incremental Method Based on Observation of a Single Agent. CISIM 2012: 290-301 | |
| c29 | Roman Pawlikowski, Krzysztof Ociepa, Urszula Markowska-Kaczmar, Pawel B. Myszkowski: Information Extraction from Geographical Overview Maps. ICCCI (1) 2012: 94-103 | |
| 2011 | ||
| j4 | Halina Kwasnicka, Urszula Markowska-Kaczmar, Marcin Mikosik: Flocking behaviour in simple ecosystems as a result of artificial evolution. Appl. Soft Comput. 11(1): 982-990 (2011) | |
| c28 | Urszula Markowska-Kaczmar, Adam Rybski: Graphical Pattern Identification Inspired by Perception. ACIIDS (2) 2011: 222-231 | |
| c27 | Urszula Markowska-Kaczmar, Pawel Minda, Krzysztof Ociepa, Dariusz Olszowy, Roman Pawlikowski: Towards Automatic Image Annotation Supporting Document Understanding. HAIS (1) 2011: 420-427 | |
| c26 | Urszula Markowska-Kaczmar, Adam Puchalski: Similar Image Recognition Inspired by Visual Cortex. MICAI (2) 2011: 386-397 | |
| 2010 | ||
| c25 | Urszula Markowska-Kaczmar, Filip Krygowski: The Influence of Using Design Patterns on the Process of Implementing Genetic Algorithms. IEA/AIE (2) 2010: 173-182 | |
| c24 | Katarzyna Agnieszka Olkiewicz, Urszula Markowska-Kaczmar: Emotion-based Image Retrieval - an Artificial Neural Network Approach. IMCSIT 2010: 89-96 | |
| c23 | Bartlomiej Józef Dzienkowski, Urszula Markowska-Kaczmar: Biologically Inspired Agent System Based on Spiking Neural Network. KES-AMSTA (2) 2010: 110-119 | |
| p3 | Urszula Markowska-Kaczmar, Halina Kwasnicka, Mariusz Paradowski: Intelligent Techniques in Personalization of Learning in e-Learning Systems. Computational Intelligence for Technology Enhanced Learning 2010: 1-23 | |
| 2009 | ||
| c22 | Urszula Markowska-Kaczmar, Krzysztof Rosól: Kohonen's neural network and evolutionary algorithms in searching for financial investment strategy. IMCSIT 2009: 75-80 | |
| c21 | Urszula Markowska-Kaczmar, Norbert Kosmal, Piotr Orzechowski, Pawel Iwaszko, M. Baranczyk, Kazimierz Orzechowski: Localization of cancerous changes in images of breast tissue. IMCSIT 2009: 413-417 | |
| c20 | Mariusz Paradowski, Urszula Markowska-Kaczmar, Halina Kwasnicka, Krzysztof Borysewicz: Capillary Abnormalities Detection Using Vessel Thickness and Curvature Analysis. KES (2) 2009: 151-158 | |
| c19 | Urszula Markowska-Kaczmar, Tomasz Switek: Combined Unsupervised-Supervised Classification Method. KES (2) 2009: 861-868 | |
| 2008 | ||
| j3 | Urszula Markowska-Kaczmar, Bartosz Kordas: Multi-class iteratively refined negative selection classifier. Appl. Soft Comput. 8(2): 972-984 (2008) | |
| c18 | Marcin Bartoszewski, Halina Kwasnicka, Urszula Markowska-Kaczmar, Pawel B. Myszkowski: Extraction of Emotional Content from Music Data. CISIM 2008: 293-299 | |
| c17 | Halina Kwasnicka, Dorota Szul, Urszula Markowska-Kaczmar, Pawel B. Myszkowski: Learning Assistant - Personalizing Learning Paths in e-Learning Environments. CISIM 2008: 308-314 | |
| c16 | Pawel B. Myszkowski, Halina Kwasnicka, Urszula Markowska-Kaczmar: Data Mining Techniques in e-Learning CelGrid System. CISIM 2008: 315-319 | |
| c15 | Urszula Markowska-Kaczmar, Arletta Hurej: Evaluation of Subspace Clustering Quality. HAIS 2008: 400-407 | |
| c14 | Urszula Markowska-Kaczmar, Halina Kwasnicka, Marcin Szczepkowski: Genetic Algorithm as a Tool for Stock Market Modelling. ICAISC 2008: 450-459 | |
| c13 | Urszula Markowska-Kaczmar, Maciej Dziedzic: Discovery of technical analysis patterns. IMCSIT 2008: 195-200 | |
| p2 | Urszula Markowska-Kaczmar: Evolutionary Approaches to Rule Extraction from Neural Networks. Engineering Evolutionary Intelligent Systems 2008: 177-209 | |
| 2007 | ||
| c12 | ||
| c11 | Jerzy Sas, Urszula Markowska-Kaczmar: Semi-Supervised Handwritten Word Segmentation Using Character Samples Similarity Maximization and Evolutionary Algorithm. CISIM 2007: 316-321 | |
| 2006 | ||
| c10 | ||
| c9 | 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 | |
| c8 | Michal Glomba, Urszula Markowska-Kaczmar: IBUSCA: A Grid-based Bottom-up Subspace Clustering Algorithm. ISDA (1) 2006: 671-676 | |
| c7 | Urszula Markowska-Kaczmar, Bartosz Kordas: Negative Selection based method for Multi-Class problem classification. ISDA (2) 2006: 1165-1170 | |
| c6 | Jan Kwiatkowski, Marcin Pawlik, Urszula Markowska-Kaczmar, Dariusz Konieczny: Performance Evaluation of Different Kohenen Network Parallelization Techniques. PARELEC 2006: 331-336 | |
| p1 | Urszula Markowska-Kaczmar, Krystyna Mularczyk: GA-Based Pareto Optimization for Rule Extraction from Neural Networks. Multi-Objective Machine Learning 2006: 313-338 | |
| 2005 | ||
| j2 | Urszula Markowska-Kaczmar, Wojciech Trelak: Fuzzy logic and evolutionary algorithm - two techniques in rule extraction from neural networks. Neurocomputing 63: 359-379 (2005) | |
| c5 | Urszula Markowska-Kaczmar: The Influence of Parameters in Evolutionary Based Rule Extraction Method from Neural Network. ISDA 2005: 106-111 | |
| c4 | Urszula Markowska-Kaczmar, Pawel Kubacki: Support Vector Machines in Handwritten Digits Classification. ISDA 2005: 406-411 | |
| 2004 | ||
| j1 | Urszula Markowska-Kaczmar, Marcin Chumieja: Discovering the Mysteries of Neural Networks. Int. J. Hybrid Intell. Syst. 1(3-4): 153-163 (2004) | |
| c3 | Urszula Markowska-Kaczmar, Pawel Wnuk-Lipinski: Rule Extraction from Neural Network by Genetic Algorithm with Pareto Optimization. ICAISC 2004: 450-455 | |
| 2003 | ||
| c2 | Urszula Markowska-Kaczmar, Wojciech Trelak: Extraction of fuzzy rules from trained neural network using evolutionary algorithm. ESANN 2003: 149-154 | |
| c1 | Urszula Markowska-Kaczmar, Marcin Chumieja: Opening Neural Network Black Box by Evolutionary Approach. HIS 2003: 147-156 | |
Colors in the list of coauthors
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