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.
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)
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)
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)
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
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
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)
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)
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)
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)