| 2009 |
30 | | Cezary Dendek,
Jacek Mandziuk:
Probability-Based Distance Function for Distance-Based Classifiers.
ICANN (1) 2009: 141-150 |
29 | | Mateusz Kobos,
Jacek Mandziuk:
Classification Based on Combination of Kernel Density Estimators.
ICANN (2) 2009: 125-134 |
28 | | Jacek Mandziuk,
Marcin Jaruszewicz:
"Dead" Chromosomes and Their Elimination in the Neuro-Genetic Stock Index Prediction System.
ICONIP (2) 2009: 601-610 |
27 | | 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) |
26 | | Wlodzislaw Duch,
Jacek Mandziuk:
Challenges for Computational Intelligence.
IEEE Transactions on Neural Networks 20(3): 542-543 (2009) |
| 2008 |
25 | | Cezary Dendek,
Jacek Mandziuk:
A Neural Network Classifier of Chess Moves.
HIS 2008: 338-343 |
24 | | Cezary Dendek,
Jacek Mandziuk:
Improving Performance of a Binary Classifier by Training Set Selection.
ICANN (1) 2008: 128-135 |
23 | | Jacek Mandziuk:
Some thoughts on using Computational Intelligence methods in classical mind board games.
IJCNN 2008: 4002-4008 |
22 | | Rafal Grodzicki,
Jacek Mandziuk,
Lipo Wang:
Improved Multilabel Classification with Neural Networks.
PPSN 2008: 409-416 |
21 | | Farideh Fazayeli,
Lipo Wang,
Jacek Mandziuk:
Feature Selection Based on the Rough Set Theory and Expectation-Maximization Clustering Algorithm.
RSCTC 2008: 272-282 |
| 2007 |
20 | | Wlodzislaw Duch,
Jacek Mandziuk:
Challenges for Computational Intelligence
Springer 2007 |
19 | | Pawel Kupis,
Jacek Mandziuk:
Evolutionary-Progressive Method for Multiple Sequence Alignment.
CIBCB 2007: 291-297 |
18 | | 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 |
17 | | Pawel Kupis,
Jacek Mandziuk:
Multiple Sequence Alignment with Evolutionary-Progressive Method.
ICANNGA (1) 2007: 23-30 |
16 | | Magdalena Kusiak,
Karol Waledzik,
Jacek Mandziuk:
Evolutionary Approach to the Game of Checkers.
ICANNGA (1) 2007: 432-440 |
15 | | Jacek Mandziuk:
Computational Intelligence in Mind Games.
Challenges for Computational Intelligence 2007: 407-442 |
| 2006 |
14 | | Krzysztof Mossakowski,
Jacek Mandziuk:
Neural Networks and the Estimation of Hands' Strength in Contract Bridge.
ICAISC 2006: 1189-1198 |
13 | | Cezary Dendek,
Jacek Mandziuk:
Including Metric Space Topology in Neural Networks Training by Ordering Patterns.
ICANN (2) 2006: 644-653 |
| 2005 |
12 | | Magdalena Kusiak,
Karol Waledzik,
Jacek Mandziuk:
Evolution of Heuristics for Give-Away Checkers.
ICANN (2) 2005: 981-987 |
| 2004 |
11 | | Marcin Jaruszewicz,
Jacek Mandziuk:
One Day Prediction of NIKKEI Index Considering Information from Other Stock Markets.
ICAISC 2004: 1130-1135 |
10 | | Jacek Mandziuk,
Daniel Osman:
Temporal Difference Approach to Playing Give-Away Checkers.
ICAISC 2004: 909-914 |
9 | | Krzysztof Mossakowski,
Jacek Mandziuk:
Artificial Neural Networks for Solving Double Dummy Bridge Problems.
ICAISC 2004: 915-921 |
8 | | Daniel Osman,
Jacek Mandziuk:
Comparison of TDLeaf(lambda) and TD(lambda) Learning in Game Playing Domain.
ICONIP 2004: 549-554 |
7 | | Jacek Mandziuk,
Daniel Osman:
Alpha-Beta Search Enhancements with a Real-Value Game-State Evaluation Function.
ICGA Journal 27(1): 38-43 (2004) |
| 2002 |
6 | | Rafal Mikolajczak,
Jacek Mandziuk:
Chaotic Time Series Prediction with Neural Networks - Comparison of Several Architectures.
ECAI 2002: 493-497 |
5 | | Jacek Mandziuk,
Lokendra Shastri:
Incremental class learning approach and its application to handwritten digit recognition.
Inf. Sci. 141(3-4): 193-217 (2002) |
| 2000 |
4 | | Jacek Mandziuk:
Optimization with the Hopfield network based on correlated noises: Experimental approach.
Neurocomputing 30(1-4): 301-321 (2000) |
| 1998 |
3 | | Jacek Mandziuk,
Lokendra Shastri:
Incremental Class Learning Approach and its Application to Handwritten Digit Recognition.
ICONIP 1998: 203-206 |
2 | | 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) |
| 1995 |
1 | | Jacek Mandziuk:
Solving the N-Queens problem with a binary Hopfield-type network.
Biological Cybernetics 72(5): 439-445 (1995) |