Zredagowane książki

1. Duch W, Mandziuk J (Eds.), Challenges for Computational Intelligence.
   Springer "Studies in Computational Intelligence" Series, Vol. 63, June 2007, 488 pp.
2. Marques de Sá, J, Alexandre L.A, Duch W, and Mandic D.P. (Eds.), Proceedings of the 17th International Conference on Artificial Neural Networks (ICANN 2007), Part I,
   Springer Lecture Notes in Computer Science, Vol. 4668, 2007, XXXI, 978 pp. ISBN 978-3-540-74689-8.

3. Marques de Sá, J, Alexandre L.A, Duch W, and Mandic D.P. (Eds.), Proceedings of the 17th International Conference on Artificial Neural Networks (ICANN 2007), Part II,
   Springer Lecture Notes in Computer Science, Vol. 4669, 2007, XXXI, 990 pp. ISBN 978-3-540-74693-5.

4. Kollias S, Stafylopatis A, Duch W, Oja E. (Eds.), Proceedings of the 16th International Conference on Artificial Neural Networks. Athens, Greece, September 10-14, 2006, Proceedings, Part I.
   Springer Lecture Notes in Computer Science, Vol 4131, 2006, XXXIV, 1008 pp. Softcover, ISBN: 3-540-38625-4.
5. Kollias S, Stafylopatis A, Duch W, Oja E. (Eds.), Proceedings of the 16th International Conference on Artificial Neural Networks. Athens, Greece, September 10-14, 2006, Proceedings, Part II.
   Springer Lecture Notes in Computer Science, Vol 4132, 2006, XXXIV, 1028 pp. Softcover, ISBN: 3-540-38871-0.
6. Duch W, Kacprzyk J, Oja E, Zadrozny S (Eds), Artificial Neural Networks: Biological Inspirations.
   Proceedings of the 15th International Conference on Artificial Neural Networks (ICANN 2005), Warsaw, Poland, September 11-15, 2005, Part I.
   Springer Lecture Notes in Computer Science, Vol 3696, 2005, XXXI, 703 pp. Softcover, ISBN: 3-540-28752-3.
7. Duch W, Kacprzyk J, Oja E, Zadrozny S (Eds), Artificial Neural Networks: Formal Models and Their Applications.
   Proceedings of the 15th International Conference on Artificial Neural Networks (ICANN 2005), Warsaw, Poland, September 11-15, 2005, Part II.
   Springer Lecture Notes in Computer Science, Vol. 3697, 2005, XXXII, 1045 pp. Softcover, ISBN: 3-540-28755-8.

Prace opublikowane w pismach specjalistycznych i wydawnictwach seryjnych

1. Duch W, Uncertainty of data, fuzzy membership functions, and multi-layer perceptrons.
   IEEE Transactions on Neural Networks 16(1): 10-23, 2005
2. Duch W, Support Vector Neural Training.
   Lecture Notes in Computer Science, Vol 3697, 67-72, 2005
3. Itert L, Duch W, Pestian J, Medical document categorization using a priori knowledge,
   Lecture Notes in Computer Science, Vol 3696, 641-646, 2005
4. Duch W, Szymanski J, Sarnatowicz T, Concept description vectors and the 20 question game.
   Intelligent Information Processing and Web Mining, Advances in Soft Computing, Springer Verlag, ISBN 3-540-25056-5 (Eds. Klopotek, M.A., Wierzchon, S.T., Trojanowski, K.), pp. 41-50, 2005.
5. Duch W, Brain-inspired conscious computing architecture.
   Journal of Mind and Behavior, Vol. 26(1-2), 1-22, 2005
6. Duch W, Matykiewicz, P. Minimum Spanning Trees Displaying Semantic Similarity.
   Intelligent Information Processing and Web Mining, Advances in Soft Computing, Springer Verlag, ISBN 3-540-25056-5 (Eds. Klopotek, M.A., Wierzchon, S.T., Trojanowski, K.), pp. 31-40, 2005.
7. Biesiada J, Duch W (2005), Feature Selection for High-Dimensional Data: A Kolmogorov-Smirnov Correlation-Based Filter Solution.
   In: Computer Recognition Systems. Proc. of the 4th International Conference on Computer Recognition Systems (CORES'05), Ed. M. Kurzynski, E. Puchała, M. Wozniak, A. Zolnierek, Advances in Soft Computing, Springer Verlag, ISBN: 3-540-25054-9, pp. 95-104, 2005.

8. Blachnik M, Duch W Prototype-based threshold rules.
   Lecture Notes in Computer Science, Vol. 4234, 1028-1037, 2006.
   13th Int. Conference on Neural Information Processing (ICONIP'2006), Hong Kong, Oct. 2006.

9. Duch, W, K-separability.
   Lecture Notes in Computer Science 4131, 188-197, 2006.
10. Pestian J.P, Itert L, Andersen C, Duch W, Preparing Clinical Text for Use in Biomedical Research.
    Journal of Database Management 17(2), 1-11, 2006.
11. Duch W, Biesiada J, Margin-based feature selection filters for microarray gene expression data.
    International Journal of Information Technology and Intelligent Computing 1 (2006) 9-33
12. Kordos M, Duch W, Variable Step Search MLP Training Method.
    International Journal of Information Technology and Intelligent Computing 1, 45-56, 2006
13. Matykiewicz P, Duch W, Pestian J, Nonambiguous Concept Mapping in Medical Domain,
    Lecture Notes in Artificial Intelligence, Vol. 4029, 941-950, 2006
14. Blachnik M, Duch W, Wieczorek T, Selection of prototypes rules – context searching via clustering.
    Lecture Notes in Artificial Intelligence, Vol. 4029 (2006) 573-582

15. Naud A, An Accurate MDS-Based Algorithm for the Visualization of Large Multidimensional Datasets.
    Lecture Notes in Artificial Intelligence, Vol. 4029 (2006) 643-652

16. Duch W, Intuition, Insight, Imagination and Creativity.
    IEEE Computational Intelligence Magazine 2(3), August 2007, pp. 40-52
17. Duch W, Matykiewicz P, Pestian J, Towards Understanding of Natural Language: Neurocognitive Inspirations.
    Springer Lecture Notes in Computer Science, Vol. 4668, 953–962, 2007.
18. Duch W, Pilichowski M, Experiments with computational creativity.
    Neural Information Processing – Letters and Reviews, Vol. 11, No. 4-6, April/June 2007, pp. 123-133
19. Duch W, Swaminathan K, Meller J, Computational Intelligence Approaches to Rational Drug Design and Discovery.
    Current Pharmaceutical Design, Vol. 13(14), 1497-1508, 2007.
20. Grochowski M, Duch W, Learning highly non-separable Boolean functions using Constructive Feedforward Neural Network,
    Springer Lecture Notes in Computer Science, Vol. 4668, 180-189, 2007.

21. Porollo A, Meller J, Prediction-based Fingerprints of Protein-protein Interactions,
    Proteins: Structure, Function and Bioinformatics, 66(3), 630-645 (2007) 2007

22. Porollo A, Meller J, Versatile annotation and publication quality visualization of protein complexes using POLYVIEW-3D,
    BMC Bioinformatics 8:316 (2007)

23. Biesiada J, Duch W, Feature Selection for High-Dimensional Data: A Pearson Redundancy Based Filter
    Advances in Soft Computing Vol. 45, 242-249, 2008.

Prace opublikowane jako rozdziały w książkach

1. Duch W, Filter Methods.
   In: Feature extraction, foundations and applications. Eds: I. Guyon, S. Gunn, M. Nikravesh, L. Zadeh, Studies in Fuzziness and Soft Computing, Physica-Verlag, Springer, 2006, pp. 89-118
2. Duch W, Computational Models of Dementia and Neurological Problems.
   Chapter 17 of a book: Neuroinformatics, C.J. Crasto (Ed), "Methods in Molecular Biology" series (J. Walker, series ed.), Humana Press, Totowa, NJ, pp. 307-336, 2007
3. Duch W, Creativity and the Brain.
   A Handbook of Creativity for Teachers. Ed. Ai-Girl Tan, Singapore: World Scientific Publishing 2007, pp. 507-530.
4. Duch W, What is Computational Intelligence and where is it going?
   In: W. Duch and J. Mandziuk, Challenges for Computational Intelligence. Springer Studies in Computational Intelligence, Vol. 63, 1-13, 2007.
5. Duch W, Towards comprehensive foundations of computational intelligence.
   In: W. Duch and J. Mandziuk, Challenges for Computational Intelligence. Springer Studies in Computational Intelligence, Vol. 63, 261-316, 2007.
6. Duch W, Mandziuk J, Preface: Challenges for Computational Intelligence.
   In: W. Duch and J. Mandziuk, Challenges for Computational Intelligence. Springer Studies in Computational Intelligence, Vol. 63, V-IX, 2007.
7. Blachnik M, Duch W, Prototype rules from SVM.
   Book chapter, in: Rule Extraction from Support Vector Machines, ed. J. Diederich, Springer Studies in Computational Intelligence, Vol. 80, 2008, pp. 163-184

Prace opublikowane w materiałach konferencyjnych

1. Szymanski J, Sarnatowicz T, Duch W, Semantic memory for avatars in cyberspace.
   2005 International Conference on Cyberworlds, Singapore 23-25 Nov. 2005, T.L. Kunii, S.H. Soon and A. Sourin (eds), IEEE Computer Society, pp. 165-171
2. Blachnik M, Duch W, Wieczorek T, Probabilistic distance measures for prototype-based rules.
   Proc. of the 12th Int. Conference on Neural Information Processing (ICONIP'2005), Taipei, Taiwan, pp. 445-450
3. Blachnik M, Duch W, Wieczorek T, Threshold rules decision list.
   In: T. Burczyński et al. (Eds), Methods of Artificial Intelligence, AI-METH Series, Gliwice 2005, pp. 23-24
4. Wieczorek T, Blachnik M, Duch W. (2005), Influence of probability estimation parameters on stability of accuracy in prototype rules using heterogeneous distance functions.
   In: Proceedings of the Artificial Intelligence Studies, Vol.2 (25), 2005, pp. 71-78.
   Presented at the VII International Conference on Artificial Intelligence AI-20'2005, 22-23.09, Siedlce, Poland.

5. Biesiada J, Duch W. Kachel A, Maczka K, Palucha S (2005), Feature ranking methods based on information entropy with Parzen windows.
   In: Proceedings of the 9th International Conference on Research in Electrotechnology and Applied Informatics (REI'05), 31.08-3.09.2005, Katowice-Kraków, Poland, Vol. I, pp. 109-119.

6. Duch W, Jankowski N, Grabczewski K, Computational intelligence methods for information understanding and information management.
   The 4th International Conference on Information and Management Sciences (IMS2005), July 1-10, 2005, Kunming, China, Vol. 4. Series of Information and Management Sciences, California Polytechnic State University, pp. 281-287
7. Duch W, Computational Creativity.
   World Congress on Computational Intelligence (WCCI'06), Vancouver, 16-21 July 2006, IEEE Press, pp. 1162-1169
8. Lee W.K, Duch W, Ng G.S, Robot Space Exploration Using Peano Paths Generated by Self-Organizing Maps.
   9th International Conference on Control, Automation, Robotics and Vision, ICARCV 2006, Singapore, 6-8.12.2006, IEEE Press, pp. 1325-1330
9. Duch W, Learning data structures with inherent complex logic: neurocognitive perspective.
   The 6th WSEAS International Conference on Computational Intelligence, Man-Machine Systems and Cybernetics (CIMMACS '07), Tenerife, Canary Islands, Spain, Dec. 14-16, 2007, pp. 294-303
10. Duch W, Matykiewicz P, Pestian J, Neurolinguistic Approach to Vector Representation of Medical Concepts.
    Proc. of the 20th Int. Joint Conference on Neural Networks (IJCNN), Orlando, IEEE Press, August 12-17, 2007, pp. 3110-3115
11. Itert L, Duch W, Pestian J, Influence of a priori Knowledge on Medical Document Categorization,
    IEEE Symposium on Computational Intelligence in Data Mining, IEEE Press, April 2007, pp. 163-170.
12. Pestian J, Brew C, Matykiewicz P, Hovermale D.J, Johnson N, Cohen K.B, Duch W, A shared task involving multi-label classification of clinical free text. BioNLP 2007: Biological, translational, and clinical language processing, pp. 97–104, ACL 2007.
    Data for the Challenge is at the CMS site.
13. Szymanski J, Duch W, Semantic Memory Knowledge Acquisition Through Active Dialogues.
    Proc. of the 20th Int. Joint Conference on Neural Networks (IJCNN), Orlando, IEEE Press, August 2007, pp. 536-541
14. Szymanski J, Duch W, Semantic Memory Architecture for Knowledge Acquisition and Management.
    The Sixth International Conference on Information and Management Sciences (IMS2007), July 1-6, 2007, California Polytechnic State University, CA, pp. 342-348
15. Usui S, Naud A, Ueda N, Taniguchi T, 3D-SE Viewer: a text mining tool based on bipartite graph visualization.
    Proc. of the 20th Int. Joint Conference on Neural Networks (IJCNN), Orlando, IEEE Press, August 2007, pp. 1103-1108
16. Biesiada J, Duch W,
    A Kolmogorov-Smirnov correlation-based filter solution for microarray gene expressions data.
    Springer Lecture Notes in Computer Science, Vol. xxx, pp. xxx-yyy, 2008, 14th Int. Conference on Neural Information Processing (ICONIP07), Kitakyushu, Japan, Nov.2007 (w materiałach jest tylko krótka wersja, w druku w LCNS długa)
17. Dobosz K, Osiński G, Duch W, Computational model of brain stem functions.
    Neuromath Workshop, Rome, 1-5 Dec. 2007, pp. xxx

Prace w druku lub wysłane

1. Duch W, Matykiewicz P, and Pestian J, Neurolinguistic Approach to Natural Language Processing with Applications to Medical Text Analysis.
   Neural Networks (accepted, revision 7.1.2008)

2. Kordos M, Duch W, Variable Step Search Training for Feedforward Neural Networks.
   Neurocomputing (submitted 9/07, accepted revision 12/07)
3. Biesiada J, Duch W,
   A Kolmogorov-Smirnov correlation-based filter solution for microarray gene expressions data.
   Springer Lecture Notes in Computer Science, Vol. xxx, pp. xxx-yyy, 2008
4. Szymanski J, Sarnatowicz T, Duch W, Towards Avatars with Artificial Minds: Role of Semantic Memory.
   Journal of Ubiquitous Computing and Intelligence, American Scientific Publishers, 1(2), xxx, 2007 (in print)
5. Wieczorek T, Blachnik M, Duch W. (2006), Heterogeneous distance functions for prototype rules: influence of parameters on probability estimation.
   International Journal of Artificial Intelligence Studies (in print).

6. Duch W, Oentaryo R.J, Pasquier M, Cognitive architectures: where do we go from here?
   Artificial General Intelligence (AGI 2008), Memphis, March 1-3, 2008
7. Maszczyk T, Duch W, Comparison of Shannon, Renyi and Tsallis Entropy used in Decision Trees.
   International Conference on Artificial Intelligence and Soft Computing (ICAISC'08), Zakopane, Poland
8. Grochowski M, Duch W, A Comparison of Methods for Learning of Highly Non-Separable Problems.
   International Conference on Artificial Intelligence and Soft Computing (ICAISC'08), Zakopane, Poland