Most papers are in PDF format (you need Acrobat Reader or ghostview to read them)
A few papers are in the postscript format compressed using "gzip". Please use Total Commander, Gunzip, WinZip or other such programms for decompression.

Unfortunately this is far from complete; additional papers are linked to W. Duch publications page, personal pages of our staff members, and some CI lab projects.
Norbert - papers on metalearning.

1. Neural networks: models, architectures, learning
2. Logical rules and data understanding
3. Machine learning and similarity-based methods
4. Cognitive subjects: mind, consciousness etc.
5. Self-organization and visualization of multidimensional data
6. PhD's and other topics
7. Rozne publikacje po polsku

Neural networks: models, architectures, learning.

• Maszczyk T, Grochowski M, Duch W, Discovering Data Structures using Meta-learning, Visualization and Constructive Neural Networks
  In the book "R. Michalski, In Memoriam", (ed. J. Koronacki), Springer 2009
• Grochowski M, Duch W, Constructive Neural Network Algorithms that Solve Highly Non-Separable Problems
  Book chapter, LNCS Springer, 2009
• Kordos M, Duch W, Variable Step Search Training for Feedforward Neural Networks. | Abstract and PDF file.
  Neurocomputing 71(13-15), 2470-2480, 2008. (doi:10.1016/j.neucom.2008.02.019 on line).
• Blachnik M, Duch W, Building Localized Basis Function Networks Using Context Dependent Clustering
  Lecture Notes in Computer Science, vol. 5163, 482-491, 2008.
  Presented at: International Conference on Artificial Neural Networks (ICANN'08), Prague, Czech Republic
• Grochowski M, Duch W, Projection Pursuit Constructive Neural Networks Based on Quality of Projected Clusters
  Lecture Notes in Computer Science, vol. 5164, 754-762, 2008.
  Presented at: International Conference on Artificial Neural Networks (ICANN'08), Prague, Czech Republic
• Maszczyk T, Duch W, Support Vector Machines for visualization and dimensionality reduction.
  Lecture Notes in Computer Science, vol. 5163, 346-356, 2008.
  Presented at: International Conference on Artificial Neural Networks (ICANN'08), Prague, Czech Republic
• Maszczyk T, Duch W, Comparison of Shannon, Renyi and Tsallis Entropy used in Decision Trees. | Abstract and PDF file.
  Lecture Notes in Computer Science, Vol. 5097, 643-651, 2008.
  Presented at the International Conference on Artificial Intelligence and Soft Computing (ICAISC'08), Zakopane, Poland
• Grochowski M, Duch W, A Comparison of Methods for Learning of Highly Non-Separable Problems. | Abstract and PDF file.
  Lecture Notes in Computer Science, Vol. 5097, 566-577, 2008.
  Presented at the International Conference on Artificial Intelligence and Soft Computing (ICAISC'08), Zakopane, Poland
• Biesiada J, Duch W,
  A Kolmogorov-Smirnov correlation-based filter solution for microarray gene expressions data. | PDF file.
  Springer Lecture Notes in Computer Science, Vol. 4985, pp. 285–294, 2008,
  Presented at the 14th Int. Conference on Neural Information Processing (ICONIP07), Kitakyushu, Japan, Nov.2007
• Biesiada J, Duch W, Feature Selection for High-Dimensional Data: A Pearson Redundancy Based Filter | PDF file.
  Advances in Soft Computing Vol. 45, 242-249, 2008.
• Blachnik M, Duch W, Prototype rules from SVM | Abstract and PDF file.
  Book chapter, in: Rule Extraction from Support Vector Machines, ed. J. Diederich, Springer Studies in Computational Intelligence, Vol. 80, 163-184, 2008.
• Duch W, Learning data structures with inherent complex logic: neurocognitive perspective. | PDF file.
  Presented at 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
• Duch W, Towards comprehensive foundations of computational intelligence | PDF file.
  In: W. Duch and J. Mandziuk, Challenges for Computational Intelligence. Springer Studies in Computational Intelligence, Vol. 63, 261-316, 2007.
• Duch W, What is Computational Intelligence and where is it going? | PDF file.
  In: W. Duch and J. Mandziuk, Challenges for Computational Intelligence. Springer Studies in Computational Intelligence, Vol. 63, 1-13, 2007.
• Duch W, Swaminathan K, Meller J, Computational Intelligence Approaches to Rational Drug Design and Discovery. | PDF file.
  Current Pharmaceutical Design, 13(14), 1497-1508, 2007.
• Grochowski M, Duch W, Learning highly non-separable Boolean functions using Constructive Feedforward Neural Network | PDF file.
  Springer Lecture Notes in Computer Science, Vol. 4668, 2007, pp. 180-189

• Itert L, Duch W, Pestian J, Influence of a priori Knowledge on Medical Document Categorization | PDF file.
  IEEE Symposium on Computational Intelligence in Data Mining, IEEE Press, April 2007, pp. 163-170.
• Duch, W, K-separability | PDF file.
  Lecture Notes in Computer Science 4131, 188-197, 2006.
• Duch W, Biesiada J, Margin-based feature selection filters for microarray gene expression data | PDF file.
  International Journal of Information Technology and Intelligent Computing 1 (2006) 9-33
• Kordos M, Duch W, Variable Step Search MLP Training Method | PDF file.
  International Journal of Information Technology and Intelligent Computing 1, 45-56, 2006
• Blachnik M, Duch W, Wieczorek T, Selection of prototypes rules – context searching via clustering. | PDF file.
  Lecture Notes in Artificial Intelligence, Vol. 4029 (2006) 573-582

• Duch W, Filter Methods. | PDF file.
  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
• Lee W.K, Duch W, Ng G.S, Robot Space Exploration Using Peano Paths Generated by Self-Organizing Maps. | PDF file.
  9th International Conference on Control, Automation, Robotics and Vision, ICARCV 2006, Singapore, 6-8.12.2006, IEEE Press, pp. 1325-1330
• Duch W, Uncertainty of data, fuzzy membership functions, and multi-layer perceptrons. | PDF file.
  IEEE Transactions on Neural Networks 16(1): 10-23, 2005
• Duch W, Support Vector Neural Training. | PDF file.
  Lecture Notes in Computer Science, Vol 3697, 67-72, 2005
• Itert L, Duch W, Pestian J, Medical document categorization using a priori knowledge,
  Lecture Notes in Computer Science, Vol 3696, 641-646, 2005
• Duch W, Internal representations of multi-layered perceptrons.
  In: Issues in Intelligent Systems: Paradigms. Eds. O. Hryniewicz, J. Kacprzyk, J. Koronacki, S.T. Wierzchoń, Exit, Warszawa 2005, pp. 49-62.
• Duch W, Matykiewicz, P. Minimum Spanning Trees Displaying Semantic Similarity. | PDF file.
  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.
• Biesiada J, Duch W (2005), Feature Selection for High-Dimensional Data: A Kolmogorov-Smirnov Correlation-Based Filter. | PDF file.
  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.

• Blachnik M, Duch W, Wieczorek T, Probabilistic distance measures for prototype-based rules. | PDF file.
  Proc. of the 12th Int. Conference on Neural Information Processing (ICONIP'2005), Taipei, Taiwan, pp. 445-450
• Blachnik M, Duch W, Wieczorek T, Threshold rules decision list. | PDF file.
  In: T. Burczyński et al. (Eds), Methods of Artificial Intelligence, AI-METH Series, Gliwice 2005, pp. 23-24
• Wieczorek T, Blachnik M, Duch W. (2005), Influence of probability estimation parameters on stability of accuracy in prototype rules using heterogeneous distance functions. | PDF file.
  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.

• Biesiada J, Duch W. Kachel A, Maczka K, Palucha S (2005), Feature ranking methods based on information entropy with Parzen windows. | PDF file.
  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.

• Duch W, Jankowski N, Grabczewski K, Computational intelligence methods for information understanding and information management. | PDF file.
  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
• Kordos M, Duch W, On Some Factors Influencing MLP Error Surface. | PDF file.
  The 7th International Conference on Artificial Intelligence and Soft Computing (ICAISC), Zakopane, Poland, June 2004. Eds. L. Rutkowski, J. Siekemann, R. Tadeusiewicz, L. Zadeh. Lecture Notes in AI Vol. 3070 (2004) 217-222
• Duch W, Visualization of hidden node activity in neural networks: I. Visualization methods. | PDF file.
  The 7th International Conference on Artificial Intelligence and Soft Computing (ICAISC), Zakopane, Poland, June 2004. Eds. L. Rutkowski, J. Siekemann, R. Tadeusiewicz, L. Zadeh. Lecture Notes in AI Vol. 3070 (2004) 38-43
• Duch W, Visualization of hidden node activity in neural networks: II. Application to RBF networks. | PDF file.
  The 7th International Conference on Artificial Intelligence and Soft Computing (ICAISC), Zakopane, Poland, June 2004. Eds. L. Rutkowski, J. Siekemann, R. Tadeusiewicz, L. Zadeh. Lecture Notes in AI Vol. 3070 (2004) 44-49
• Duch W, Mandziuk J, Quo Vadis Computational Intelligence? | PDF file.
  In: Machine Intelligence. Quo Vadis? Eds: P. Sinčák, J. Vaščák, K. Hirota. Advances in Fuzzy Systems - Applications and Theory - Vol. 21, World Scientific, 2004, pp. 3-28
• Duch W, Setiono R, Zurada J.M, Computational intelligence methods for understanding of data.
  Proc. of the IEEE 92(5) (2004) 771- 805 (see also the front cover of the issue, and the Prolog by J. Esch Full Bibtex Entry
• Duch W, Wieczorek T, Biesiada J, Blachnik M, Comparison of feature ranking methods based on information entropy. | PDF file.
  Proc. of International Joint Conference on Neural Networks (IJCNN), Budapest 2004, IEEE Press, pp. 1415-1420
• Kordos M, Duch W, Variable step size search algorithm for MLP training.
  The 8th IASTED International Conference on Artificial Intelligence and Soft Computing (ASC 2004), Sept. 1-3, 2004, Marbella, Spain, pp.215-220
• Kordos M, Duch, W, Multilayer Perceptron Trained with Numerical Gradient. | PDF file.
  International Conference on Artificial Neural Networks (ICANN) and International Conference on Neural Information Processing (ICONIP), Istanbul, June 2003, pp. 106-109

• Kordos M, Duch, W, Search-based training for logical rule extraction by Multilayer Perceptron. | PDF file.
  International Conference on Artificial Neural Networks (ICANN) and International Conference on Neural Information Processing (ICONIP), Istanbul, June 2003, pp. 86-89

• Duch W, Winiarski T, Biesiada J, Kachel, A, Feature Ranking, Selection and Discretization. | PDF file.
  International Conference on Artificial Neural Networks (ICANN) and International Conference on Neural Information Processing (ICONIP), Istanbul, June 2003, pp. 251-254
• Duch W, Itert L, Committees of Undemocratic Competent Models. | PDF file.
  International Conference on Artificial Neural Networks (ICANN) and International Conference on Neural Information Processing (ICONIP), Istanbul, June 2003, pp. 33-36

• Grudzinski K, Karwowski M, Duch W, Computational Intelligence Study of the Iron Age Glass Data. | PDF file.
  International Conference on Artificial Neural Networks (ICANN) and International Conference on Neural Information Processing (ICONIP), Istanbul, June 2003, pp. 17-20

• Duch W, Grudziński K, Meta-learning via search combined with parameter optimization.
  Inteligent Information Systems, Advances in Soft Computing, Physica Verlag (Springer) 2002, pp. 13-22
• Grąbczewski K, Duch W, Heterogenous forests of decision trees.
  Springer Lecture Notes in Computer Science Vol. 2415 (2002) 504-509.
  Presented at the International Conference on Artificial Neural Networks (ICANN 2002), Madrid.
• Duch W, Itert. L, A posteriori corrections to classification methods.
  In: Neural Networks and Soft Computing (eds. L. Rutkowski and J. Kacprzyk), Advances in Soft Computing, Physica Verlag (Springer), pp. 406-411, 2002. Full Bibtex Entry
• Duch W, Biesiada J, Winiarski T, Grudziński K, Grąbczewski K, Feature selection based on information theory filters and feature elimination wrapper methods.
  In: Neural Networks and Soft Computing (eds. L. Rutkowski and J. Kacprzyk), Advances in Soft Computing, Physica Verlag (Springer), pp. 173-176, 2002.
• Duch W, Itert L, Competent undemocratic committees. | PDF file.
  In: Neural Networks and Soft Computing (eds. L. Rutkowski and J. Kacprzyk), Advances in Soft Computing, Physica Verlag (Springer), pp. 412-417, 2002.
• Naud A, Duch W, Visualization of large data sets using MDS combined with LVQ.
  In: Neural Networks and Soft Computing (eds. L. Rutkowski and J. Kacprzyk), Advances in Soft Computing, Physica Verlag (Springer), pp. 632-637, 2002.
• Grąbczewski K, Duch W, Forests of decision trees.
  In: Neural Networks and Soft Computing (eds. L. Rutkowski and J. Kacprzyk), Advances in Soft Computing, Physica Verlag (Springer), pp. 602-607, 2002.
• Marczak M, Duch W, Grudziński K, Naud A. Transformation Distances, Strings and Identification of DNA Promoters.
  In: Neural Networks and Soft Computing (eds. L. Rutkowski and J. Kacprzyk), Advances in Soft Computing, Physica Verlag (Springer), pp. 620-625, 2002.
• Duch W, Grąbczewski K, Heterogeneous adaptive systems
  IEEE World Congress on Computational Intelligence, Honolulu, May 2002, pp. 524-529.
• Duch W, Winiarski T, Grąbczewski K, Biesiada J, Kachel, A, Feature selection based on information theory, consistency and separability indices.
  International Conference on Neural Information Processing (ICONIP), Vol. IV, pp. 1951-1955, Singapore 2002
• Duch W, Grudzinski K (2001)
  Meta-learning: searching in the model space.
  Proceedings of the International Conference on Neural Information Processing, Shanghai, 2001, Vol. I, pp. 235-240 (PDF, 46 KB)

• Jankowski N, Duch W (2001)
  Optimal transfer function neural networks.
  9th European Symposium on Artificial Neural Networks (ESANN), Brugge 2001. De-facto publications, pp. 101-106 (PDF, 1.0 MB)

• Duch W, Jankowski N (2000)
  Transfer functions: hidden possibilities for better neural networks.
  9th European Symposium on Artificial Neural Networks (ESANN), Brugge 2001. De-facto publications, pp. 81-94 (PDF, 487 KB)

• Duch W, Adamczak R, Diercksen GHF (2000)
  Constructive density estimation network based on several different separable transfer functions..
  9th European Symposium on Artificial Neural Networks (ESANN), Brugge 2001. De-facto publications, pp. 107-112 (PDF, 36 KB)

• Duch W, Adamczak R, Hayashi Y (2000)
  Eliminators and classifiers
  ICONIP-2000, 7th International Conference on Neural Information Processing, Nov. 2000, Dae-jong, Korea, ed. by Soo-Young Lee, pp. 1029 - 1034 (PDF, 50 KB)

• Duch W, Jankowski N (2000)
  Taxonomy of neural transfer functions (in PDF)
  International Joint Conference on Neural Networks IJCNN 2000, Vol. III, pp. 477-484 (PDF, 58 KB)

• Adamczak R, Duch W (2000)
  Neural networks for structure-activity relationship problems. (in PDF)
  Fifth Conference on Neural Networks and Soft Computing, Zakopane, June 2000, pp. 669-674 (PDF, 54 KB)

• Duch W, Grabczewski K (1999)
  Searching for optimal MLP
  4th Conference on Neural Networks and Their Applications, Zakopane, May 1999, pp. 65-70 (PDF, 29 KB)

• Jankowski N (1999)
  Approximation and classification in medicine with IncNet neural networks
  In: Machine Learning and Applications. Workshop on Machine Learning in Medical Applications, pp. 53-58, Greece, July 1999.

• Jankowski N (1999)
  Flexible transfer functions with ontogenic neural networks
  Technical report, Computational Intelligence Lab, DCM NCU, Torun, Poland, 1999.

• Jankowski N (1999)
  Approximation with RBF-type neural networks using flexible local and semi-local transfer functions.
  In: 4-th Conference on Neural Networks and Their Applications, pp. 77-82, Zakopane, Poland, May 1999.

• Duch W, Adamczak R, Diercksen G.H.F (1999)
  Neural Networks in non-Euclidean spaces.
  Neural Processing Letters 10: 201-210, 1999

• Duch W, Jankowski N (1999)
  Survey of neural transfer functions.
  Neural Computing Surveys 2 (1999) 163-213

• Duch W, Jerzy Korczak (1999)
  Optimization and global minimization methods suitable for neural networks.
  Neural Computing Surveys (submitted, Nov. 98, revision never completed)

• Duch W, Adamczak R, Geerd H.F. Diercksen (1999)
  Distance-based multilayer perceptrons.
  International Conference on Computational Intelligence for Modelling Control and Automation, 17-19 February 1999, Vienna, Austria

• Duch W, Adamczak R (1998)
  Statistical methods for construction of neural networks.
  International Conference on Neural Information Processing, ICONIP'98, Kitakyushu, Japan, Oct. 1998, Vol. 2, pp. 629-642

• Jankowski N, Kadirkamanathan V (1997)
  Statistical Control of RBF-like Networks for Classification | Abstract
  7th International Conference on Artificial Neural Networks, Lausanne, Switzerland, October 1997, pp. 385-390

• Jankowski N, Kadirkamanathan V (1997)
  Statistical Control of Growing and Pruning in RBF-like Neural Networks (PDF) | Abstract
  Third Conference on Neural Networks and Their Applications, Kule, October 1997, pp. 663-670

• Duch W (1997)
  Scaling properties of neural classifiers | Abstract
  Third Conference on Neural Networks and Their Applications, Kule, October 1997, pp. 189-194

• Duch W, Adamczak R, Jankowski N (1997)
  Initialization and optimization of multilayered perceptrons | Abstract
  Third Conference on Neural Networks and Their Applications, Kule, October 1997, pp. 105-110

• Duch W, Adamczak R, Jankowski N (1997)
  Initialization of adaptive parameters in density networks | Abstract
  Third Conference on Neural Networks and Their Applications, Kule, October 1997, pp. 99-104

• Adamczak R, Duch W, Jankowski N (1997)
  New developments in the Feature Space Mapping model | Abstract
  Third Conference on Neural Networks and Their Applications, Kule, October 1997, pp. 65-70

• Duch W, Jankowski N (1997)
  New neural transfer functions (PDF) | Abstract
  Applied Mathematics and Computer Science 7 (1997) 639-658

• Duch W and Adamczak R (1996)
  Feature Space Mapping network for classification | Abstract
  Proceedings of the Second Conference on Neural Networks and their applications, Orle Gniazdo, 30.IV-4.V.1996, pp. 125-130

• Duch W, Jankowski N (1996)
  Bi-radial Transfer Functions | Abstract
  Proceedings of the Second Conference on Neural Networks and their applications, Orle Gniazdo, 30.IV-4.V.1996, pp. 131-137

• Duch W, Jankowski N, Naud A, Adamczak R (1995)
  Feature Space Mapping: a neurofuzzy network for system identification | Abstract
  Proc. of Engineering Applications of Neural Networks (EANN'95), Helsinki 21-23.08.1995, pp. 221-224

• Duch W and Geerd Diercksen (1995)
  Feature Space Mapping as a Universal Adaptive System | Abstract
  Computer Physics Communications 87: 341-371

• Duch W (1994)
  Floating Gaussian Mapping: a New Model of Adaptive Systems | Abstract
  Neural Network World 4: 645-654

• Duch W (1994)
  Neural Networks as Tools to Solve Problems in Physics and Chemistry | Abstract
  Computer Physics Communications 82: 91-103

Logical rules.

• Grabczewski K, Duch W (2002)
  Heterogeneous Forests of Decision Trees (34 KB)
  Springer Lecture Notes in Computer Science Vol. 2415, pp. 504-509, 2002
• Duch W, Grabczewski K (2002)
  Heterogeneous adaptive systems (137 KB)
  IEEE World Congress on Computational Intelligence, Honolulu, May 2002, pp. 524-529.
• Duch W, Grabczewski K, Adamczak R, Grudzinski K, Hippe Z.S (2001)
  Rules for melanoma skin cancer diagnosis (30 KB)
  KOSYR, Wroclaw 2001, pp. 59-68
• Duch W, Adamczak R, Grąbczewski K (2001)
  A new methodology of extraction, optimization and application of crisp and fuzzy logical rules.
  Final version was published in IEEE Transactions on Neural Networks 12 (2001) 277-306 (PDF, 282 KB)

• Duch W, Adamczak R, Grąbczewski K, Jankowski N (2000)
  Neural methods of knowledge extraction.
  Control and Cybernetics 29 (4) (2000) 997-1018

• Duch W, Hayashi Y (2000)
  Computational intelligence methods and data understanding.
  International Symposium on Computational Intelligence 2000, Kosice - Slovakia, Eds. P. Sincak, J. Vascak, Springer studies in fuzziness and soft computing, Vol. 54, pp. 256-270

• Duch W, Jankowski N, Adamczak R, Grabczewski K (2000)
  Optimization and Interpretation of Rule- Based Classifiers.
  Intelligent Information Systems IIS'2000, Physica Verlag (Springer), pp. 1-13

• Grabczewski K, Duch W (2000)
  The separability of split value criterion. (in PDF)
  5th Conference on Neural Networks and Soft Computing, Zakopane, June 2000, pp. 201-208

• Duch W, Adamczak R, and Grabczewski K (1999)
  Neural optimization of linguistic variables and membership functions
  International Conference on Neural Information Processing (ICONIP'99), Perth, Australia, Nov. 1999, Vol. II, pp. 616-621.

• Duch W, Adamczak R, and Grabczewski K (1999)
  Optimization of Logical Rules Derived by Neural Procedures
  1999 International Joint Conference on Neural Networks, Washington, July 1999, paper no. 741

• Duch W, Adamczak R, and Grabczewski K (1999)
  Neural methods for analysis of psychometric data
  5th Conference on Engineering Applications of Neural Networks, Warsaw, Poland, 13-15.09.1999, pp. 45-50

• Duch W, Adamczak R, Grabczewski K (1998)
  Methodology of extraction, optimization and application of logical rules.
  Intelligent Information Systems VIII, Ustron, Poland, 14-18.06.1998, pp. 22-31

• Duch W, Adamczak R, Grabczewski K and Zal G (1999)
  Hybrid neural-global minimization method of logical rule extraction
  Int. Journal of Advanced Computational Intelligence 3 (1999) 348-356

• Duch W, Adamczak R, Grabczewski K and Zal G (1998)
  A hybrid method for extraction of logical rules from data
  Colloquia on Artificial Inteligence, Lodz, Poland 28-30.09.1998, pp. 61-82

• Duch W, Adamczak R, Grabczewski K (KMK UMK), Ishikawa M, and Ueda H (KIT) (1997)
  Extraction of crisp logical rules using constrained backpropagation networks | Abstract
  Proc. of the European Symposium on Artificial Neural Networks (ESANN'97), Bruge 16-18.4.1997, pp. 109-114

• Duch W, Adamczak R, Grabczewski K (1997)
  Extraction of crisp logical rules using constrained backpropagation networks | Abstract
  International Conference on Artificial Neural Networks (ICNN'97), Houston, 9-12.6.1997, pp. 2384-2389

• Duch W, Adamczak R, Grabczewski K (1996)
  Constrained backpropagation for feature selection and extraction of logical rules | Abstract
  First Polish Conference on Theory and Applications of Artificial Intelligence, Lodz, 19-21.12.1996, pp. 163-170

• Duch W, Adamczak R, Grabczewski K (1996)
  Extraction of logical rules from training data using backpropagation networks | Abstract
  First Polish Conference on Theory and Applications of Artificial Intelligence, Lodz, 19-21.12.1996, pp. 171-178

Machine learning and similarity-based methods.

• 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.
• Duch W (2005) Filter Methods.
  In: Feature extraction, foundations and applications. Eds: I. Guyon, S. Gunn, M. Nikravesh, L. Zadeh, NIPS 2003 workshop on feature extraction, Springer 2005 (in print)

• Grabczewski K, Jankowski N (2005) Feature Selection with Decision Tree Criterion.
  In: Hybrid Intelligent Systems HIS 2005, Rio de Janeiro 6-9.11.2005.

• Jankowski N, Grabczewski K (2005) Heterogenous Committees with Competence Analysis.
  In: Hybrid Intelligent Systems HIS 2005, Rio de Janeiro 6-9.11.2005.

• Biesiada J, Duch W. Kachel A, Maczka K, Palucha S (2005) Feature ranking methods based on information entropy with Parzen windows.
  In: International Conference on Research in Electrotechnology and Applied Informatics, 31.08-3.09.2005, Katowice, Poland.

• Jankowski N, Grochowski M (2004) Comparison of Instances Selection Algorithms I. Algorithms Survey
  In: ICAISC 2004, L. Rutkowski et al. (Eds.), LNAI 3070, pp. 598–603, 2004 and pp. 580-585

• Grochowski M, Jankowski N (2004) Comparison of Instances Selection Algorithms II. Results and Comments
  In: ICAISC 2004, L. Rutkowski et al. (Eds.), LNAI 3070, pp. 580-585, 2004

• Duch W, Itert L (2003)
  Committees of Undemocratic Competent Models
  International Conference on Artificial Neural Networks (ICANN) and International Conference on Neural Information Processing (ICONIP), Istanbul, June 2003, pp. 33-36

• Duch W, Grudzinski K (2001)
  Prototype based rules - new way to understand the data. (PDF, 70 KB)
  INNS-IEEE International Joint Conference on Neural Networks (IJCNN 2001), Washington D.C. 14-19.07.2001, pp. 1858-1863

• Duch W, Grudzinski K (2001)
  Ensembles of Similarity-Based Models. (PDF, 48KB)
  Inteligent Information Systems (IIS) 2001, Zakopane, 18-22.06.2001, pp. 75-85

• Duch W (2000)
  Similarity based methods: a general framework for classification, approximation and association
  Control and Cybernetics 29 (4) (2000) 937-968

• Duch W, Adamczak R, Diercksen G.H.F. (2000)
  Classification, Association and Pattern Completion using Neural Similarity Based Methods.
  Applied Mathematics and Computer Science 10:4 (2000) 101-120

• Grudzinski K, Duch W (2000)
  SBL-PM: A Simple Algorithm for Selection of Reference Instances for Similarity Based Methods.
  Intelligent Information Systems IIS'2000, Physica Verlag (Springer), pp. 99-108

• Duch W, Grudzinski K, Stawski G (2000)
  Symbolic features in neural networks (in PDF).
  5th Conference on Neural Networks and Soft Computing, Zakopane, June 2000, pp. 180-185

• Duch W, Grudzinski K (1999)
  1999 International Joint Conference on Neural Networks, Washington, July 1999, paper no. 742
  Search and global minimization in similarity-based methods (PDF format)

• Duch W, Grudzinski K (1999)
  4th Conference on Neural Networks and Their Applications, Zakopane, May 1999, pp. 191-196
  The weighted k-NN method with selection of features and its neural realization

• Duch W, Grudzinski K (1998)
  Intelligent Information Systems VIII, Ustron, Poland, 14-18.06.1998, pp. 32-36
  Weighting and selection of features.

• Duch W (1998)
  Second Polish Conference on Theory and Applications of Artificial Intelligence, Lodz, 28-30 Sept. 1998, pp. 33-60
  A framework for similarity-based methods

• Duch W (1998)
  A framework for similarity-based classification methods
  Intelligent Information Systems VII, Malbork, Poland, 15-19.06.1998, pp. 288-291

• Duch W (1997)
  Neural minimal distance methods | Abstract
  Third Conference on Neural Networks and Their Applications, Kule, Poland, October 1997, pp. 183-188

• Duch W, Adamczak R, Jankowski N (1996)
  Improved Memory-Based Classification | Abstract

Cognitive subjects: mind, consciousness etc.

• 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
• 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
• 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
• 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)
• Duch W, Intuition, Insight, Imagination and Creativity.
  IEEE Computational Intelligence Magazine 2(3), August 2007, pp. 40-52
• 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
• Duch W, Creativity and the Brain.
  A Handbook of Creativity for Teachers. Ed. Ai-Girl Tan, Singapore: World Scientific Publishing 2007, pp. 507-530.
• Duch W (2006) Computational Creativity.
  World Congres on Computational Intelligence, Vancouver, 16-21 July 2006
• Szymanski J, Sarnatowicz T, Duch W (2005) 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

• Duch W, Szymanski J, Sarnatowicz T (2005) 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.) (2005) 41-50
• Duch W, Matykiewicz, P. (2005) 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.) (2005) 31-40
• Duch W (2005) Brain-inspired conscious computing architecture.
  Journal of Mind and Behavior (in print, July 2005)

• Duch W (2002) Synchronicity, Mind and Matter.
  The International Journal of Transpersonal Studies 21 (2002) 155-170.
  Reprinted in: Neuroquantology, Vol. 1, January 2003

• Duch W (2001) Facing the hard problem.
  Brain and Behavioral Sciences, 24 (2001) 187-188.
  Commentary on the paper "The contents of consciousness: a neuropsychological conjecture" by J.A. Gray.

• Duch W (2001) Future of the information society and information technology.
  V Congress of the Societas Humboldtiana Polonorum, Wroclaw, June 2001

• Duch W (2000)
  J. Medical Informatics and Technologies 5 (2000) 27-34
  Therapeutic applications of computer models of brain activity for Alzheimer disease.

• Duch W (1999)
  Submitted to Journal of Consciousness Studies (January 1999)
  Conscious mind as a limit of brain-like computing.

• Duch W (1998)
  American Neopragmatism: Honoring Philosophy of Hilary Putnam, Torun 8-12.08. 1998
  What constitutes a good theory of mind?

• Duch W (1998)
  International Conference on Neural Networks and Brain, October 27-30,1998, Beijing, China (1998)
  Neural implementation of psychological spaces

• Duch W (1998)
  In: Brain-like computing and intelligent information systems, ed. S-i. Amari, N. Kasabov (Springer, Singapore 1998), chap. 20, pp. 491-512
  Platonic model of mind as an approximation to neurodynamics | Abstract and long version!

• Duch W, Bekkering H, Neggers B (1997)
  Sensorimotor integration, CIL-KMK/MPPF-4/97, Technical Report

• Duch W (1996)
  Towards Artifical Minds | Abstract

• Duch W (1996)
  Computational physics of the mind | Abstract

• Duch W (1996)
  Sympozjum Kognitywne '96: Consciousness and Perception, Poznan, Dec. 6-7, 1996
  From brain to mind to consciousness - without hard problems

• Duch W (1996)
  Towards a plausible theory of mind, transparencies for a talk

• Duch W (1996)
  On simplifying brain functions | Abstract

• Duch W (1995)
  Psychophysics | Abstract

• Duch W (1995)
  Physics of Consciousness | Abstract

• Duch W (1995)
  From Cognitive Models To Neurofuzzy Systems

• Duch W (1995)
  Transparent theory of consciousness: is there a problem? Commentary on the paper "The contents of consciousness: a neuropsychological conjecture" by J.A. Gray (unpublished).

• Duch W (1995)
  From cognitive models to neurofuzzy systems - the mind space approach | Abstract

• Duch W (1994)
  Synchronicity and the Unified View of Mind and Matter | Abstract

• Duch W (1994)
  A Solution to Fundamental Problems of Cognitive Sciences

Self-organization and visualization of multidimensional data.

• Naud A, and Duch W (2000)
  Interactive data exploration using MDS mapping (in PDF)
  5th Conference on Neural Networks and Soft Computing, Zakopane, June 2000, pp. 255-260

• Duch W, and Naud A (1996)
  Simplexes, Multi-Dimensional Scaling and Self-Organized Mapping | Abstract

• Duch W, and Naud A (1996)
  On global self-organizing maps | Abstract
  Proc. of the European Symposium on Artificial Neural Networks (ESANN'96), Bruge 22-26.4.1996, pp. 91-96
• Duch W, and Naud A (1996)
  Multidimensional Scaling and Kohonen's Self-Organizing Maps, Abstract

• Duch W (1995)
  Quantitative Measures for the Self-Organizing Topographic Maps | Abstract. Published in: Open Systems and Information Dynamics 2:295-302

PhD's and other topics.

• Krzysztof Grabczewski
  praca doktorska, Katedra Informatyki Stosowanej UMK, Torun, Maj 2003.
  Zastosowanie kryterium separowalności do generowania reguł klasyfikacji na podstawie baz danych. (PDF, 1.6 MB)

• Antoine Naud
  PhD thesis, Katedra Metod Komputerowych UMK, Torun, April 2001.
  Neural and statistical methods for the visualization of multidimensional data. (PDF, 5.5 MB)

• Rafal Adamczak
  praca doktorska, Katedra Metod Komputerowych UMK, Torun, luty 2001.
  Zastosowanie sieci neuronowych do klasyfikacji danych doświadczalnych. (PDF, 3 MB)

• Norbert Jankowski
  praca doktorska, Katedra Metod Komputerowych UMK, Torun, sierpien 1999.
  Ontogeniczne sieci neuronowe w zastosowaniu do klasyfikacji danych medycznych (PDF, 5 MB)

• Jaroslaw Meller (1996)
  Praca doktorska, Katedra Metod Komputerowych UMK, Torun, czerwiec 1996.
  New computational algorithms based on the configuration interaction method (PDF, 1.0 MB)

• Duch W (1994)
  Cerebrations on Computational Science | Abstract

• Duch W, Jankowski N (1994)
  Complex Systems, Information Theory and Neural Networks (PDF) | Abstract

Publications in Polish - Po polsku

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Naukowe i popularnonaukowe:

• Duch W (2008) Umysł, świadomość i działania twórcze.
  Kognitywistyka i Media w Edukacji (w druku, wysłane 2005)
• Duch W (2008) Perspektywy neuromarketingu.
  Neuromarketing. Interdyscyplinarne spojrzenie na klienta. Monografia, Wyd. AR, Poznań 2008.
• Duch W, Neuroestetyka i ewolucyjne podstawy przeżyć estetycznych.
  Neuroestetyka, Poznań, 22.02.2007.
• Duch W (2007) Czy komputery będą kiedyś świadome?
  Krótsza wersja opublikowana w Newsweek, 3.02.2208.

• Duch W (2006) Od mózgu do umysłu.
  Charaktery 1, pp. 18-23
• Duch W (2006) Debata: "Mózg - Maszyna - Świadomość - Dusza", Debata w Szkole Wyższej Psychologii Społecznej, Warszawa, 18 marca 2006 r.
  Jak należy rozumieć relację mózg–umysł–świadomość–dusza? Kognitywistyka (2008) xxx.

• Duch W (2006)
  Madhyamika, nauka i natura rzeczywistości.
  Kognitywistyka i Media w Edukacji 1-2:293-316, 2006.
• Duch W (2003)
  Geometryczny model umysłu.
  Kognitywistyka i Media w Edukacji, Vol. 6, 199-230, 2002 (ukazało się w 2003).

• Duch W (2001)
  Neurokognitywna teoria świadomości
  Kognitywistyka i Media w Edukacji, Vol. 5, 47-67.

• Duch W (2001)
  Fizyka umysłu (format PDF)
  Dłuższa wersja artykułu, który ukazał się w Postępach Fizyki.

• Duch W (2001)
  Publikacje naukowe o sieciach neuronowych w Internecie (format HTML)
  EBIB, Elektroniczny Biuletyn Informacyjny Bibliotekarzy 1, 19, 2001.

• Duch W (2001)
  Świadomość i dynamiczne modele działania mózgu (format PDF)
  Neurologia i Neurochirurgia Polska, Maj 2000, pp. 69-84

• Adamczak R, Duch W (2000)
  Model FSM w zastosowaniu do klasyfikacji (format PDF)
  Biocybernetyka 2000, Tom 6: Sieci neuronowe (red. W. Duch, J. Korbicz, L. Rutkowski i R. Tadeusiewicz), rozdz. III.26, pp. 801-824

• Chojnowski A, Duch W (2000)
  Analiza szeregów czasowych obrazów.
  Biocybernetyka 2000, Tom 6: Sieci neuronowe (red. W. Duch, J. Korbicz, L. Rutkowski i R. Tadeusiewicz), rozdz. II.17, pp. 569-588

• Jankowski N, Duch W (2000)
  Ontogeniczne sieci neuronowe. (w PDF)
  Biocybernetyka 2000, Tom 6: Sieci neuronowe (red. W. Duch, J. Korbicz, L. Rutkowski i R. Tadeusiewicz), rozdz. I.8, pp. 257-294

• Duch W (2000)
  Sieci neuronowe w modelowaniu zaburzen neuropsychologicznych i chorób psychicznych (format PDF)
  Biocybernetyka 2000, Tom 6: Sieci neuronowe (red. W. Duch, J. Korbicz, L. Rutkowski i R. Tadeusiewicz), rozdz. II.18, pp. 589-616

• Grabczewski K , Duch W, Adamczak R (2000)
  Neuronowe metody odkrywania wiedzy w danych (format PDF)
  Biocybernetyka 2000, Tom 6: Sieci neuronowe (red. W. Duch, J. Korbicz, L. Rutkowski i R. Tadeusiewicz), rozdz. III.20, pp. 637-662

• Duch W, Grudzinski K (2000)
  Sieci Neuronowe i Uczenie Maszynowe: próba integracji (format PDF)
  Biocybernetyka 2000, Tom 6: Sieci neuronowe (red. W. Duch, J. Korbicz, L. Rutkowski i R. Tadeusiewicz), rozdz. III.21, pp. 663-690

• Duch W (2000)
  Jaka teoria umysłu w pełni nas zadowoli? (tekst w html)
  Kognitywistyka i Media w Edukacji 1/2 (2000), wyd. A. Marszałek

• Duch W (1999)
  Duch i dusza, czyli prehistoria kognitywistyki.
  Kognitywistyka i Media w Edukacji 1/99, Wyd. A. Marszałek 1999

• Duch W (1998) Rewolucja informatyczna w medycynie.
  Kardiologia Polska Supp. III, 49 (1998) 87-92 (appeared in 2001)
• Duch W (1998)
  Czym jest kognitywistyka? (tekst w html) artykuł opublikowano w:
  Kognitywistyka i Media w Edukacji 1 (1998) pp. 9-50

Pozostałe publikacje po polsku

• Duch W (2001)
  Szufladki w nauce. Sprawy Nauki 12(75) (2001) 12-13.

• Duch W (2001)
  Pływanie pod prąd, czyli 10 lat kierowania Katedrą Metod Komputerowych (format HTML).
  Krótsza wersja wydrukowana została w "Głosie Uczelni", kwiecien 2001

• Duch W (2001)
  Smutne refleksje z Brukseli
  Głos Uczelni, 7/2001, p. 1

• Duch W (2001)
  Straszenie przyszłością (format HTML)
  Nieuctwo szkodzi bardziej (format HTML)
  Droga do piekła (format HTML)
  Fragmenty dyskusji z "Głosu Uczelni", kwiecien, czerwiec 2001

• Norbert Jankowski (1995)
  MATLAB - plusy kontra minusy | Abstract

• Duch W (1995) Buddyjskie ideały.
  Przegląd Powszechny, 4.1995, pp. 72-82
• Duch W (1995)
  Fizyka i metafizyka świadomości - folie do referatu.

• Duch W (1995)
  Piąta generacja komputerów.

• Duch W (1995)
  Możliwości sieci komputerowych. Toruńskie Studia Dydaktyczne, rok IV(8), pp.18-33 (PDF 163 KB)
• Duch W (1994)
  Życie wewnętrzne komputerów (PDF, 250 KB)

• Duch W, redaktor (1994)
  Propozycje zajeć o charakterze informatycznym (format PDF)

• Duch W (1994)
  Refleksje na temat rozwoju informatyki na Uniwersytecie M. Kopernika

• Duch W (1994)
  Czy istnieją nauki komputerowe? KMK Tech. Rep. 1/94.