Jacek Mandziuk

Cezary Dendek, Jacek Mandziuk: Statistically-Induced Kernel Function for Support Vector Machine Classifier. ICAISC (1) 2012: 369-377

Mateusz Kobos, Jacek Mandziuk: Bandwidth Selection in Kernel Density Estimators for Multiple-Resolution Classification. ICAISC (1) 2012: 378-386

Jacek Mandziuk: Human-Like Intuitive Playing in Board Games. ICONIP (2) 2012: 282-289

Jacek Mandziuk, Marcin Jaruszewicz: Memetic Input Variable Selection in Neuro-Genetic Prediction System. SEAL 2012: 420-429

Jacek Mandziuk, Maciej Swiechowski: Generic Heuristic Approach to General Game Playing. SOFSEM 2012: 649-660

Jacek Mandziuk: Towards Cognitively Plausible Game Playing Systems. IEEE Comp. Int. Mag. 6(2): 38-51 (2011)

Mateusz Kobos, Jacek Mandziuk: Multiple-resolution classification with combination of density estimators. Connect. Sci. 23(4): 219-237 (2011)

Jacek Mandziuk, Marcin Jaruszewicz: Neuro-genetic system for stock index prediction. Journal of Intelligent and Fuzzy Systems 22(2-3): 93-123 (2011)

Karol Waledzik, Jacek Mandziuk: Multigame Playing by Means of UCT Enhanced with Automatically Generated Evaluation Functions. AGI 2011: 327-332

Jacek Mandziuk: Knowledge-Free and Learning-Based Methods in Intelligent Game Playing. Studies in Computational Intelligence 276, Springer 2010, isbn 978-3-642-11677-3

Karol Waledzik, Jacek Mandziuk: CI in General Game Playing - To Date Achievements and Perspectives. ICAISC (2) 2010: 667-674

Mateusz Kobos, Jacek Mandziuk: Classification Based on Multiple-Resolution Data View. ICANN (3) 2010: 124-129

Karol Waledzik, Jacek Mandziuk: The Layered Learning Method and Its Application to Generation of Evaluation Functions for the Game of Checkers. PPSN (2) 2010: 543-552

Krzysztof Mossakowski, Jacek Mandziuk: Learning Without Human Expertise: A Case Study of the Double Dummy Bridge Problem. IEEE Transactions on Neural Networks 20(2): 278-299 (2009)

Wlodzislaw Duch, Jacek Mandziuk: Challenges for Computational Intelligence. IEEE Transactions on Neural Networks 20(3): 542-543 (2009)

Jacek Mandziuk, Krzysztof Mossakowski: Neural networks compete with expert human players in solving the Double Dummy Bridge Problem. CIG 2009: 117-124

Mateusz Kobos, Jacek Mandziuk: Classification Based on Combination of Kernel Density Estimators. ICANN (2) 2009: 125-134

Cezary Dendek, Jacek Mandziuk: Probability-Based Distance Function for Distance-Based Classifiers. ICANN (1) 2009: 141-150

Jacek Mandziuk, Marcin Jaruszewicz: "Dead" Chromosomes and Their Elimination in the Neuro-Genetic Stock Index Prediction System. ICONIP (2) 2009: 601-610

Cezary Dendek, Jacek Mandziuk: A Neural Network Classifier of Chess Moves. HIS 2008: 338-343

Cezary Dendek, Jacek Mandziuk: Improving Performance of a Binary Classifier by Training Set Selection. ICANN (1) 2008: 128-135

Jacek Mandziuk: Some thoughts on using Computational Intelligence methods in classical mind board games. IJCNN 2008: 4002-4008

Rafal Grodzicki, Jacek Mandziuk, Lipo Wang: Improved Multilabel Classification with Neural Networks. PPSN 2008: 409-416

Farideh Fazayeli, Lipo Wang, Jacek Mandziuk: Feature Selection Based on the Rough Set Theory and Expectation-Maximization Clustering Algorithm. RSCTC 2008: 272-282

Wlodzislaw Duch, Jacek Mandziuk (Eds.): Challenges for Computational Intelligence. Studies in Computational Intelligence 63, Springer 2007, isbn 978-3-540-71983-0

Jacek Mandziuk, Magdalena Kusiak, Karol Waledzik: Evolutionary-based heuristic generators for checkers and give-away checkers. Expert Systems 24(4): 189-211 (2007)

Pawel Kupis, Jacek Mandziuk: Evolutionary-Progressive Method for Multiple Sequence Alignment. CIBCB 2007: 291-297

Jacek Mandziuk, Krzysztof Mossakowski: Example-based Estimation of Hand's Strength in the Game of Bridge with or without Using Explicit Human Knowledge. CIDM 2007: 413-420

Pawel Kupis, Jacek Mandziuk: Multiple Sequence Alignment with Evolutionary-Progressive Method. ICANNGA (1) 2007: 23-30

Magdalena Kusiak, Karol Waledzik, Jacek Mandziuk: Evolutionary Approach to the Game of Checkers. ICANNGA (1) 2007: 432-440

Jacek Mandziuk: Computational Intelligence in Mind Games. Challenges for Computational Intelligence 2007: 407-442

Krzysztof Mossakowski, Jacek Mandziuk: Neural Networks and the Estimation of Hands' Strength in Contract Bridge. ICAISC 2006: 1189-1198

Cezary Dendek, Jacek Mandziuk: Including Metric Space Topology in Neural Networks Training by Ordering Patterns. ICANN (2) 2006: 644-653

Nguyen Hoang Viet, Jacek Mandziuk: Neural and Fuzzy Neural Networks in Prediction of Natural Gas Consumption. Neural Parallel & Scientific Comp. 13: 265-286 (2005)

Magdalena Kusiak, Karol Waledzik, Jacek Mandziuk: Evolution of Heuristics for Give-Away Checkers. ICANN (2) 2005: 981-987

Jacek Mandziuk, Daniel Osman: Alpha-Beta Search Enhancements with a Real-Value Game-State Evaluation Function. ICGA Journal 27(1): 38-43 (2004)

Jacek Mandziuk, Daniel Osman: Temporal Difference Approach to Playing Give-Away Checkers. ICAISC 2004: 909-914

Krzysztof Mossakowski, Jacek Mandziuk: Artificial Neural Networks for Solving Double Dummy Bridge Problems. ICAISC 2004: 915-921

Marcin Jaruszewicz, Jacek Mandziuk: One Day Prediction of NIKKEI Index Considering Information from Other Stock Markets. ICAISC 2004: 1130-1135

Daniel Osman, Jacek Mandziuk: Comparison of TDLeaf(lambda) and TD(lambda) Learning in Game Playing Domain. ICONIP 2004: 549-554

Jacek Mandziuk, Lokendra Shastri: Incremental class learning approach and its application to handwritten digit recognition. Inf. Sci. 141(3-4): 193-217 (2002)

Rafal Mikolajczak, Jacek Mandziuk: Chaotic Time Series Prediction with Neural Networks - Comparison of Several Architectures. ECAI 2002: 493-497

Jacek Mandziuk: Optimization with the Hopfield network based on correlated noises: Experimental approach. Neurocomputing 30(1-4): 301-321 (2000)

Jacek Mandziuk: Improvement of Hopfield associative memory by contour enhancement in library patterns. Neural Parallel & Scientific Comp. 7(3): 359-377 (1999)

Arun K. Jagota, Jacek Mandziuk: Experimental Study of Perceptron-Type Local Learning Rule for Hopfield Associative Memory. Inf. Sci. 111(1-4): 65-81 (1998)

Jacek Mandziuk, Lokendra Shastri: Incremental Class Learning Approach and its Application to Handwritten Digit Recognition. ICONIP 1998: 203-206

Jacek Mandziuk: Solving the N-Queens problem with a binary Hopfield-type network. Biological Cybernetics 72(5): 439-445 (1995)

Jacek Mandziuk, Bohdan Macuk: A neural network designed to solve the N-Queens Problem. Biological Cybernetics 66(4): 375-379 (1992)