2011

R Adamczak,J Pillardy,BK Vallat,J Meller; Fast Geometric Consensus Approach for Protein Model Quality Assessment, Journal of Computational Biology, 2011, doi:10.1089/cmb.2010.0170.

M Phatak, R Adamczak,B Cao and J Meller; Solvent and Lipid Accessibility Prediction as a Basis for Model Quality Assessment in Soluble and Membrane Proteins, Curr Protein Pept Sci.,12(6), 2011, s. 563-573.

2010

K Swaminathan, R Adamczak, A Porollo and J Meller; Enhanced prediction of conformational flexibility and phosphorylation in proteins, Advances in Computational Biology, 680: (2010)

2009

R Adamczak; Dimensionality reduction of PSSM matrix and its influence on secondary structure and relative solvent accessibility predictions, World Academy Of Science, Engineering And Technology 58 : 657-664 (2009)

2007

J Meller, R Adamczak , M P Scola,M Barnes,S D Thompson, M H Passo,H I Brunner, D N Glass, A A Grom; Machine Learning Analysis of Expression Profiles of Synovial Tissue Cytokines Helps Identify Patients with Systemic Onset Juvenile Rheumatoid Arthritis, Advances in Computational and Systems Biology 1 : 95-110 (2007)

R Adamczak ,L Peplowski,W Nowak; Performance of Neural Networks Based Transmembrane Helix Prediction Methods Applied to Mosquito Anopheles Gambiae Gprotein Coupled Odorant Receptors, Advances in Computational and Systems Biology 1 : 25-34 (2007)

M T Cushion, A G Smulian, B E Slaven; T Sesterhenn, J Arnold, C Staben, A Porollo, R Adamczak, J Meller; Transcriptome of Pneumocystis carinii during fulminate infection: carbohydrate metabolism and the concept of a compatible parasite., PLoS ONE 2 : e423. (2007)

2006

B Cao, A Porollo, R Adamczak, M Jarrell, J Meller; Enhanced recognition of protein transmembrane domains with prediction-based structural profiles, Bioinformatics, 22(3):303-309 (2006)

2005

M Wagner, R Adamczak , A Porollo, J Meller; Linear Regression Models for Solvent Accessibility Prediction in Proteins, Journal of Computational Biology, Apr 2005, Vol. 12, No. 3: 355-369 (2005)

R Adamczak , A Porollo, J Meller; Combining Prediction of Secondary Structure and Solvent Accessibility in Proteins, Proteins: Structure, Function and Bioinformatics, vol. 59(3):467 - 475 (2005)

2004

R. Adamczak, A. Porollo and J. Meller; Accurate Prediction of Solvent Accessibility Using Neural Networks Based Regression, Proteins: Structure, Function and Bioinformatics, 56(4):753-67 (2004)

R. Adamczak and J. Meller; On the Transferability of Folding and Threading Potentials and Sequence-Independent Filters for Protein Folding Simulations, Molecular Physics, vol. 102 (11-12): 1291-1305 (2004)

A. Porollo, R. Adamczak and J. Meller; Polyview: A Flexible Visualization Tool for Structural and Functional Annotations of Proteins, Bioinformatics, vol. 20 (15): 2460-62 (2004)

2003

A. Porollo, R. Adamczak, M. Wagner and J. Meller; Maximum Feasibility Approach for Consensus Classifiers: Applications to Protein Structure Prediction, Proceedings of The Second International Conference on Computational Intelligence, Robotics and Autonomous Systems, CIRAS 2003

2001

Duch W, Grąbczewski K, Adamczak R, Grudzinski K, Hippe Z.S. (2001) Rules for melanoma skin cancer diagnosis. KOSYR, Wrocław 2001, pp. 59-68

Duch W, Adamczak R, Grąbczewski K, A new methodology of extraction, optimization and application of crisp and fuzzy logical rules. IEEE Transactions on Neural Networks 12 (2001) 277-306

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

2000

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

Duch W, Adamczak R, Diercksen GHF, Neural Networks from Similarity Based Perspective. New Frontiers in Computational Intelligence and its Applications. Ed. M. Mohammadian, IOS Press, Amsterdam 2000, pp. 93-108

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

Duch W, Grąbczewski K, Jankowski N, Adamczak R, Optimization and interpretation of rule-based classifiers. Intelligent Information Systems 2000, Advances in Soft Computing, Physica Verlag (Springer), pp. 1-13

Adamczak R, Duch W, Neural networks for structure-activity relationship problems. 5th Conference on Neural Networks and Soft Computing, Zakopane, June 2000, pp. 669-674

Duch W, Adamczak R, Hayashi Y, Neural 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

Duch W, Adamczak R, Diercksen GHF, Feature space mapping neural network applied to structure-activity relationship problems. ICONIP-2000, 7th International Conference on Neural Information Processing, Nov. 2000, Dae-jong, Korea, ed. by Soo-Young Lee, pp. 270 – 274

Duch W, Adamczak R, Grąbczewski K, Grudziński K, Jankowski N, Naud N, Extraction of knowledge from data using Computational Intelligence methods. In: ICONIP-2000, 7th International Conference on Neural Information Processing, Nov. 2000, Dae-jong, Korea (separate brochure, 54 pp)

Duch W, Adamczak R, Grąbczewski K, Grudziński K, Jankowski N, Naud N, Understanding the data: extraction, optimization and interpretation of logical rules. In: International Joint Conference on Neural Networks 2000 (IJCNN) (separate brochure, 70 pp)

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

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

1999

Duch W, Adamczak R, Grąbczewski K, Żal G; Hybrid neural-global minimization method of logical rule extraction. Journal of Advanced Computational Intelligence, 3 (5): 348-356 (1999)

Duch W, Adamczak R, Diercksen GHF; Neural Networks in non-Euclidean spaces. Neural Processing Letters  10: 201-210 (1999)

Duch W,> Adamczak R, Diercksen GHF; Distance-based multilayer perceptrons. Computational Intelligence for Modelling Control and Automation. Neural Networks and Advanced Control Strategies. Ed. M. Mohammadian, IOS Press, Amsterdam, pp. 75-80 (1999)

Duch W, Adamczak R, Grąbczewski K, Żal G, Hayashi Y; Fuzzy and crisp logical rule extraction methods in application to medical data. In: P.S. Szczepaniak, P.J.G. Lisboa, J. Kacprzyk (eds.), Fuzzy systems in Medicine. Physica - Verlag, Springer 2000, pp. 593-616 (1999)

Duch W, Adamczak R, Grąbczewski K; 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 (1999)

Duch W, Adamczak R, Grąbczewski K; Neural methods for analysis of psychometric data., Proc. of the Intern. Conference EANN'99, Warsaw, 13-15.09.1999, pp. 45-50 (1999)

Duch W, Adamczak R; Neural networks in non-Euclidean metric spaces, 1999 International Joint Conference on Neural Networks, Washington, July 1999, paper no. 740 (6 pages) (1999)

Duch W, Adamczak R, Grąbczewski K; Optimization of logical rules derived by neural procedures, 1999 International Joint Conference on Neural Networks, Washington, July 1999, paper no. 741 (6 pages) (1999)

Duch W, Adamczak R, Grąbczewski K; Methodology of extraction, optimization and application of logical rules, Intelligent Information Systems VIII, Ustroń, Poland, 14-18.06.1999, pp. 22-31 (1999)

1998

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

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

1997

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

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

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

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

1996

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

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

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

1995

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