Books

• S.T.Wierzchoń. Sztuczne systemy immunologiczne. Teoria i zastosowania (Artificial Immune Systems. Theory and Applications). Akademicka Oficyna Wydawnicza EXIT, Warszawa 2001. ISBN 83-87674-30-3, 282+vii pp. Brief intro (in Polish)
• S.T. Wierzchoń. Metody reprezentacji i przetwarzania informacji niepewnej w ramach teorii Dempstera-Shafera. Wyd. IPI PAN, Warszawa 1996. ISBN 83-900820-5-5, 215 s.

Books co-authored

• S.T. Wierzchoń, M.A. Kłopotek. Modern Algorithms of Cluster Analysis, Springer International Publishing, 2018
• S.T. Wierzchoń, M.A. Kłopotek. Algorithms of Cluster Analysis Wyd. IPI PAN, Warszawa 2015. ISBN 978-83-63159-10-8, Free copy of the book
• S.T. Wierzchoń, M.A. Kłopotek. Algorytmy analizy skupień. WNT Warszawa 2015, ISBN 978-83-7926-261-8 (about)
• M.A. Kłopotek, S.T. Wierzchoń, K. Ciesielski, M. Dramiński, and D. Czerski. Conceptual Maps of Document Collections in Internet and Intranet. Coping with the Technological Challenge. Wyd. IPI PAN, Warszawa 2007. ISBN 978-83-922508-2-1
• S.T. Wierzchoń and M.A. Kłopotek. Evidential reasoning. An interpretative investigations. Wydawnictwo Akademii Podlaskiej, Siedlce 2002, 304 pp. further information

Books co-edited

• J. Koronacki, Z.W. Raś, S. Wierzchoń, and J. Kacprzyk (Eds.), Advances in Machine Learning I, Studies in Computational Intelligence, Vol. 262, Springer, 2010. BIBTEX
• J. Koronacki, Z.W. Raś, S. Wierzchoń, and J. Kacprzyk (Eds.), Advances in Machine Learning II, Studies in Computational Intelligence, Vol. 263, Springer, 2010. BIBTEX
• M. A. Kłopotek, M. Marciniak, A. Mykowiecka, W. Penczek, and S. T. Wierzchoń (Eds.). Intelligent Information Systems. New Approaches. Wyd. Akademii Podlaskiej, Siedlce, Poland 2010. ISBN 978-83-7051-580-5
• M.A. Kłopotek, A. Przepiórkowski, S.T. Wierzchoń, and K. Trojanowski (Eds.) Recent Advances in Intelligent Information Systems, Akademicka Oficyna Wydawnicza EXIT, 2009. ISBN: 978-83-60434-59-8
• M.A. Kłopotek, A. Przepiórkowski, S.T. Wierzchoń, and K. Trojanowski (Eds.) Intelligent Information Systems XVI, Akademicka Oficyna Wydawnicza EXIT, 2008. ISBN: 978-83-60434-44-4.
• O. Hryniewicz, J. Kacprzyk, J. Koronacki, and S.T.Wierzchoń (Eds.) Issues in Intelligent Systems. Paradigms. Akademicka Oficyna Wydawnicza EXIT, Warszawa 2005. ISBN 83-87674-90-7, 356+ix pp.

Conference Proceedings and Special Issues

• P.K. Singh, S.T. Wierzchoń, S. Tanwar, M. Ganzha, and J.J.P.C. Rodrigues (Eds.) Proc. of 2nd International Conference on Computing, Communications, and Cyber-Security, IC4S 2020, LNNS 203, Springer 2021
• K. Saeed, R. Chaki, A. Cortesi, and S. Wierzchoń (Eds.) Computer Information Systems and Industrial Management, LNCS 8104, Springer 2013
• M.A. Kłopotek, J. Koronacki, M. Marciniak, A. Mykowiecka, and S.T. Wierzchoń (Eds.) Language Processing and Intelligent Information Systems, LNCS 7912, Springer 2013
• A. Cortesi, N. Chaki, K. Saeed, and S. Wierzchoń (Eds.) Computer Information Systems and Industrial Management, LNCS 7564, Springer 2012 Contents
• M.A. Kłopotek, A. Przepiórkowski, and S.T. Wierzchoń (Eds.) Special Issue on Intelligent Information Processing and Web Mining. Control and Cybernetics, vol. 39, no. 2, 2010.
• M.A. Kłopotek, S.T. Wierzchoń, and K. Trojanowski (Eds.) Intelligent Information Processing and Web Mining, Proc. of the International IIS:IIPWM'06, Ustroń, Poland. June 19-22, 2006. Advances in Soft Computing, vol. 35. Springer 2006, ISBN: 978-3-540-33520-7.
• M.A. Kłopotek, S.T. Wierzchoń, and K. Trojanowski (Eds.) Intelligent Information Processing and Web Mining, Proc. of the International IIS:IIPWM'05, Gdańsk, Poland. June 13-16, 2005. Advances in Soft Computing, vol. 31. Springer 2005, ISBN: 978-3-540-25056-2. BIBTEX
• M.A. Kłopotek, S.T. Wierzchoń, and K. Trojanowski (Eds.) Intelligent Information Processing and Web Mining, Proc. of the International IIS:IIPWM'04, Zakopane, Poland. May 17-20, 2004. Advances in Soft Computing, vol. 25. Springer 2004, ISBN: 978-3-540-21331-4. BIBTEX
• M.A. Kłopotek, S.T. Wierzchoń, and K. Trojanowski (Eds.) Intelligent Information Processing and Web Mining, Proc. of the International IIS:IIPWM'03, Zakopane, Poland. June 2-5, 2003. Advances in Soft Computing, vol. 22. Springer 2003, ISBN: 978-3-540-00843-9. BIBTEX
• M.A. Kłopotek, S.T. Wierzchoń, and M. Michalewicz (Eds.) Intelligent Information Systems 2002. Proc. of the IIS'2002 Symposium, Sopot, Poland, June 3-6, 2002. Advances in Soft Computing, vol. 17. Physics-Verlag 2002, ISBN 3-7908-1509-8. BIBTEX
• M.A. Kłopotek, M. Michalewicz, and S.T. Wierzchoń (Eds.) Intelligent Information Systems 2001, Proc. of the International Symposium "Intelligent Information Systems X", June 18-22, 2001, Zakopane, Poland Advances in Soft Computing Springer 2001. ISBN 3-7908-1407-5. BIBTEX
• M.A. Kłopotek, M. Michalewicz, and S.T. Wierzchoń (Eds.) Intelligent Information Systems, Proc. of the IIS'2000 Symposium, June 12-16, 2000, Bystra, Poland. Advances in Soft Computing, vol. Physica-Verlag 2000. ISBN 3-7908-1309-5 BIBTEX.
• M.A. Kłopotek, S.T. Wierzchoń, and M. Michalewicz (Eds.) Intelligent Information Systems X. Communications of the 10-th International Symposium, Zakopane, 17-21 June 2000, Publisher IPI PAN, ISSN-0138-0648, Warszawa, 2001
• M.A. Kłopotek, M. Michalewicz, and S.T. Wierzchoń (Eds.) Intelligent Information Systems. The 9-th International Workshop on Intelligent Information Systems IIS'2000, Bystra, June 12-16, 2000, Publisher IPI PAN, ISBN-83-910948-2-0, Warszawa, 2000

Book chapters and journal papers

• R. Kłopotek, M. Kłopotek, S. Wierzchoń. A feasible k-means kernel trick under non-Euclidean feature space. Int. J. Appl. Math. Comput. Sci. 30(4): 703-715 (2020), DOI: 10.34768/amcs-2020-0052
• M. Lucińska, S.T. Wierzchoń. Clustering Based on Eigenvectors of the Adjacency Matrix. Applied Mathematics and Computer Science 28(4): 771-786 (2018), DOI: 10.2478/amcs-2018-0059
• D. Czerski, K. Ciesielski, M. Dramiński, M. Kłopotek, P. Łoziński, and S. Wierzchoń. What NEKST? - semantic search engine for Polish Internet. IN: G. De Tre, P. Grzegorzewski, J. Kacprzyk, J.W. Owsiński, W. Penczek and S. Zadrożny, eds, Challenging Problems and Solutions in Intelligent Systems, Springer, 2016, pp. 335-347, DOI.
• M.A. Kłopotek, S.T. Wierzchoń, R.A. Kłopotek, E.A. Kłopotek. Network Capacity Bound for Personalized Bipartite PageRank. In: S. Matwin, J. Mielniczuk (eds.), Challenges in Computational Statistics and Data MiningSpringer 2015, pp. 189-204, DOI
• K. Makowski, G. Gielerak, E. Kramarz, S.T. Wierzchoń, G. Kamiński, J. Kowal, P. Krzesiński, A. Zegadło, A. Skrobowski. Left ventricular diastolic dysfunction is associated with impaired baroreflex at rest and during orthostatic stress in hypertensive patients with left ventricular hypertrophy. J. Hum. Hypertens. 2013 Aug;27(8):465-73, DOI
• A.J. Kornecki, S.T. Wierzchoń, J. Zalewski. Reasoning under uncertainty with Bayesian belief networks enhanced with rough sets. Intl. J. of Computing, 12(1), 16-31, 2013
• M.A. Bednarczyk, E. Haas, P. Kluk, Z. Kitowski, Sz. Konefał, J. Neumann, W. Pawłowski, J. Pilecki, A. Przybyszewska-Chudzik, T. Puźniakowski, S.T. Wierzchoń. ASVCaSP Platform. Polish Hyperbaric Research, 3(40), 185-206
• S.T. Wierzchoń. Simulated annealing. Wiley Encyclopedia of Operations Research and Management Science, Wiley 2011. DOI: 10.1002/9780470400531.eorms0778
• S.T.Wierzchoń, M.Kłopotek, K. Ciesielski, D. Czerski, and M. Dramiński. Accelerating PageRank computations. Control and Cybernetics, vol. 40, no. 2, 2011
• M. A. Kłopotek, S.T. Wierzchoń, K. Ciesielski, D. Czerski, M. Dramiński. Towards the notion of typical documents in large collections of documents. In: Visual Analytics and Interactive Technologies: Data, Text and Web Mining Applications, pp. 1-18. IGI_Global 2011. DOI: 10.4018/978-1-60960-102-7.ch001
• K. Ciesielski, D. Czerski, M. Dramiński, M. Kłopotek, and S.T. Wierzchoń. Semantic information within the BEATCA framework. Control and Cybernetics, vol. 39, no. 2, 2011, pp. 377-400
• K.Ciesielski, M.A.Kłopotek, and S.T.Wierzchoń. Applying the immunological network concept to clustering document collections. Chapter VIII in: H. Mo, ed. Handbook of Research on Artificial Immune Systems and Natural Computing: Applying Complex Adaptive Technologies. IGI Global, 2009. DOI: 10.4018/978-1-60566-310-4.ch008
• M. Lucińska, and S.T. Wierzchoń. An immune inspired algorithm for learning strategies in a pursuit-evasion game. Chapter IV of: H. Mo, ed. Handbook of Research on Artificial Immune Systems and Natural Computing: Applying Complex Adaptive Technologies. IGI Global, 2009. DOI: 10.4018/978-1-60566-310-4.ch004
• K. Trojanowski, and S.T. Wierzchoń. Immune-based algorithms for dynamic optimization. Information Sciences, vol. 179, np. 10, 2009, 1495-1515. DOI: 10.1016/j.ins.2008.11.014. BIBTEX
• M. A. Kłopotek, S.T. Wierzchoń, K. Ciesielski, M. Dramiński, and D. Czerski. Techniques and technologies behind maps of Internet and Intranet document collections. In: Lu, Jie; Ruan, Da; Zhang, Guangquan (Eds.): E-Service Intelligence – Methodologies, Technologies and Applications. Studies in Computational Intelligence, Vol. 37, Springer 2007, pp. 169-190. DOI: 10.1007/978-3-540-37017-8_7. BIBTEX
• A. Chmielewski, and S.T. Wierzchoń. Experiments with the V-detector algorithm. System Science, 32(4):55-63, 2007 (abstract)
• S.T. Wierzchoń. Function optimization by the immune metaphor. Task Quarterly, vol. 6, no. 3 (2002), 493-508. abstract
• S.T. Wierzchoń. Deriving concise description of non-self patterns in an artificial immune system. In: L. C. Jain, J. Kacprzyk, eds, New Learning Paradigm in Soft Computing. Physica-Verlag 2001, 438-458, ISBN 3-7908-1436-9. abstract
• S.T. Wierzchoń, M.A.Kłopotek: An algorithm for finding most likely explanations in valuation based systems. Control and Cybernetics Vol.29 No 4, 2000, 921-936
• S.T. Wierzchoń, M.A. Kłopotek: Modified component valuations in valuation ba d systems as a way to optimize query processing. Journal of Intelligent Information Systems 9 (1997) 157-180. DOI: 10.1023/A:1008651431868. BIBTEX
• S.T. Wierzchoń, M.A. Kłopotek, and M. Michalewicz. Reasoning and facts explanation in valuation-based systems, Fundamenta Informatica, 30 (1997) 359-371. BIBTEX
• M.A.Kłopotek, and S.T.Wierzchoń. Empirical models for the Dempster-Shafer Theory. In: R.P. Srivastava, Th.J. Mock, eds.: Belief Functions in Business Decisions Physica-Verlag 2002, pp. 62-112. ISBN 3-7908-1451-2
• M. Michalewicz, M. Kłopotek, L. Krupiński, U. Kruś, S. Wierzchoń, A. Matuszewski. An information system for analyzing the need for examining certain aspects of radiologic contamination caused by the Czernobyl catastrophe Endokrynol Pol. 42(2), 1991, 181-188 abstract
• S.T. Wierzchoń. Randomness and fuzziness in a linear programming problem. IN: J. Kacprzyk and M. Fedrizzi (eds.), Combining Fuzzy Imprecision with Probabilistic Uncertainty in Decision Making, Springer Verlag (1988), pp. 227-239. BIBTEX
• S.T. Wierzchoń. On plausible reasoning. In: M.M. Gupta & T. Yamakawa (eds.), Fuzzy Logic in Knowledge-Based Systems, Decision and Control, North-Holland (1988), pp. 133-152. BIBTEX
• S.T. Wierzchoń. An inference rule based on Sugeno measure. In: J.C. Bezdek (ed.), Analysis of Fuzzy Information, CRC Press (1987), vol. 1, pp. 85-96. BIBTEX (pdf file)
• S.T. Wierzchoń. Linear programming with fuzzy sets: A general approach, Mathematical Modelling, 9(1987)447-459. DOI
• S.T. Wierzchoń. Feature selection: Fuzzy classification. In: M.G. Singh (ed.), Systems and Control Encyclopedia, Pergamon Press, (1987), pp. 1601-1604
• S.T. Wierzchoń. Mathematical tools for knowledge representation. IN: M.M. Gupta, A. Kandel, W. Bandler, J.B. Kiszka (eds.), Approximate Reasoning in Expert Systems, North-Holland (1985), pp. 61-70
• S.T. Wierzchoń. An algorithm for identification of fuzzy measure, Fuzzy Sets and Systems, 9(1983)69 -78. DOI
• S.T. Wierzchoń. On fuzzy measure and fuzzy integral. In: M.M. Gupta & E. Sanchez (eds.) Fuzzy Information and Decision Processes, North-Holland (1982), pp. 79-86

Selected papers in conference proceedings

• S.T. Wierzchoń, M.A. Kłopotek: Hulling versus Clustering - Two Complementary Applications of Non-Negative Matrix Factorization. In: Classification, Clustering, and Data-mining, Session R22 at IEEE CEC 21
• S.T. Wierzchoń, M.A. Kłopotek: Spectral Cluster Maps Versus Spectral Clustering. In: Int'l Conference on Computer Information Systems and Industrial Management, CISIM 2020, LNCS 12133, Springer 2020, pp. 472-484, BIBTEX
• M.A. Kłopotek, S.T. Wierzchoń, R.A. Kłopotek. k-means Cluster Shape Implications. In: IFIP Int'l Conf. on Artificial Intelligence Applications and Innovations, AIAI 2020, IFIPAICT 583, Springer 2020, pp. 107-118, BIBTEX
• M. Lucińska, S.T. Wierzchoń: Graph Clustering Using Early-Stopped Random Walks. In: IFIP Int'l Conference on Computer Information Systems and Industrial Management, CISIM 2016, LNCS 9842, Springer 2016, pp. 416-428, BIBTEX
• M.A. Kłopotek, S.T. Wierzchoń, P. Borkowski, Marcin Sydow. Applications of Discrete Dirichlet Problem to Semi-supervised Community Detection by Label Propagation. Third European Network Intelligence Conference, ENIC 2016, IEEE 2016, pp. 224-231, BIBTEX
• M.A. Kłopotek, S.T. Wierzchoń, K. Ciesielski, D. Czerski, M. Draminski: Lazy walks versus walks with backstep: Flavor of PageRank. In: Proc. 2014 IEEE/WIC/ACM Intl' Joint Conf. on Web Intelligence (WI) and Intelligent Agent Technologies (IAT), vol. 2, IEEE Computer Society 2014: 262-265, BIBTEX
• M. Lucińska, S.T. Wierzchoń: Spectral clustering based on analysis of eigenvector properties. In: K. Saeed and V. Snásel (eds.) Computer Information Systems and Industrial Management, LNCS 8838, pp. 43-54, Springer 2014, BIBTEX
• M.A. Kłopotek, S.T. Wierzchoń, D. Czerski, K. Ciesielski, M. Dramiński. A calculus for personalized pageRank. In: M.A. Kłopotek et al., Language Processing and Intelligent Information Sysytems, LNCS 7912, Springer 2013, 212-219, BIBTEX
• M. Lucińska, S.T. Wierzchoń: Finding the number of clusters on the basis of eigenvectors. In: M.A. Kłopotek et al., Language Processing and Intelligent Information Sysytems, LNCS 7912, Springer 2013, 220-233 BIBTEX
• A. Chmielewski, and S.T Wierzchoń. Hybrid negative selection approach for anomaly detection. In: A. Cortesi et al. (Eds.) Computer Information Systems and Industrial Management , LNCS 7564, pp. 242-253, Springer, 2012 BIBTEX
• M. Lucińska, and S.T Wierzchoń. Spectral clustering based on k-nearest neighbor graph. In: A. Cortesi et al. (Eds.) Computer Information Systems and Industrial Management , LNCS 7564, pp. 254-265, Springer, 2012 BIBTEX
• A. Chmielewski, and S.T. Wierzchoń. An immune approach to recognition of handwritten words. In: Proc. of the International Conference on Biometrics and Kansei Engineering: ICBAKE 2009, IEEE CS Press, s. 49-55. DOI: : 10.1109/ICBAKE.2009.19
• A. Chmielewski, and S.T. Wierzchon. Minimizing overlapping regions for double detectors approach. IMCSIT 2009: 25-30. BIBTEX
• K. Ciesielski, M.A. Kłopotek, and S.T. Wierzchoń. Contextual adaptive clustering of Web and text documents with personalization. Proc. of the 3rd ECML/PKDD International Conference on Mining Complex Data. LNCS 4944, Springer-Verlag 2008, pp. 116-130. BIBTEX
• K. Ciesielski, M.A. Kłopotek, and S.T. Wierzchoń. Term distribution-based initialization of fuzzy text clustering. ISMIS 2008: 278-287 BIBTEX
• S.T. Wierzchoń, K. Ciesielski, and M.A. Kłopotek. Scalability and evaluation of contextual immune model for Web mining. In: A.-E. Hassanien, and J. Kacprzyk, A. Abraham, eds., Computational Intelligence in Multimedia Processing: Recent Advances, Springer-Verlag 2008, pp. 379-408. DOI: 10.1007/978-3-540-76827-2_15
• A. Chmielewski, and S.T. Wierzchoń. An immune approach to classifying the high-dimensional datasets. In: International Multiconference on Computer Science and Information Technology, IMCSIT 2008, pp. 91-96. DOI: 10.1109/IMCSIT.2008.4747223
• K. Ciesielski, M.A. Kłopotek, and S.T. Wierzchoń. Histogram-based dimensionality reduction of term vector space. CISIM 2007: 103-108. DOI: 10.1109/CISIM.2007.35. BIBTEX
• A. Chmielewski, and S.T. Wierzchoń. Simple method of increasing the coverage of nonself region for negative selection algorithms. CISIM 2007: 155-160. DOI: 10.1109/CISIM.2007.60. BIBTEX
• D. Małyszko, and S.T. Wierzchoń. Standard and genetic k-means clustering techniques in image segmentation. CISIM 2007: 299-304. DOI: 10.1109/CISIM.2007.63. BIBTEX
• K. Ciesielski, M.A. Kłopotek, and S.T. Wierzchoń. Contextual adaptive Clustering of Web and text documents with personalization. MCD 2007: 116-130. BIBTEX
• M.A. Kłopotek, K. Ciesielski, D. Czerski, M. Dramiński, and S.T. Wierzchoń. BEATCA: Map-based intelligent navigation in WWW. AIMSA 2006: 245-254. BIBTEX
• M.A. Kłopotek, S.T. Wierzchoń, K. Ciesielski, M. Dramiński, and D. Czerski. Map-based recommendation of hyperlinked document collections. EC-Web 2006: 1-10. BIBTEX
• K. Ciesielski, S.T. Wierzchoń, and M.A. Kłopotek: An immune network for contextual text data clustering. ICARIS 2006: 432-445 BIBTEX
• S.T. Wierzchoń. Idiotypic networks as a metaphor for data analysis algorithms. In: K. Saeed, J. Pejaś, eds., Advances in Information Processing and Security Systems with Applications, Springer, NY 2005, pp. 389-400. DOI: 10.1007/0-387-26325-X_35
• S.T. Wierzchoń. Idiotypic networks as a metaphor for immune algorithms. In: O. Hryniewicz, J. Kacprzyk, J. Koronacki, S.T.Wierzchoń: Issues in Intelligent Systems. Paradigms. Akademicka Oficyna Wydawnicza EXIT, Warszawa 2005, pp. 319-340
• K. Ciesielski, M. Dramiński, M.A. Kłopotek, M. Kujawiak, S.T. Wierzchoń: On some clustering algorithms for document maps creation. In: M.A. Kłopotek, S.T. Wierzchoń, K. Trojanowski, eds: Intelligent Information Processing and Web Mining. Advances in Soft Computing Series of Physica-Verlag/Springer Verlag, Heidelberg/ New York 2005, pp. 259. DOI: 10.1007/3-540-32392-9_27
• S.T. Wierzchoń, and K. Rogowski. An immune-based algorithm for anomaly detection. In: B.De Beats, R. De Caluwe, G. de Tre, J. Fodor, J. Kacprzyk, S. Zadrożny (eds): Current Issues in Data and Knowledge Engineering, Akademicka Oficyna Wydawnicza EXIT Warszawa 2004, pp. 459-468
• S.T. Wierzchoń. Artificial immune systems: A survey of applications. In: P. Grzegorzewski, M. Krawczak, S. Zadrożny eds.: Soft Computing Tools, Techniques and Applications. Akademicka Oficyna Wydawnicza EXIT Warszawa 2004, pp. 371-384
• K. Trojanowski, and S.T. Wierzchoń. Studying properties of multipopulation heuristic approach to non-stationary optimisation tasks. IIS 2003: 23-32 BIBTEX
• M.A. Kłopotek, and S.T. Wierzchoń. Bayesian nets for recommender systems. IIS 2003: 87-96. BIBTEX
• K. Trojanowski, and S.T. Wierzchoń. Searching for memory in artificial immune system. Intelligent Information Systems 2002: 175-183. BIBTEX
• M.A. Kłopotek, and S.T. Wierzchoń. Application of valuation based systems to optimization of enumeration protocols. Intelligent Information Systems 2002: 301-310. BIBTEX
• S.T. Wierzchoń. Multimodal optimization with artificial immune systems. Intelligent Information Systems 2001: 167-178. BIBTEX
• M.A. Kłopotek, S.T. Wierzchoń, A. Jodlowski, K. Skowronski, M. Michalewicz, M.A. Bednarczyk, and W. Pawłowski. Dynamic AI methods applied to Internet-based integration of credit scoring systems. FQAS 2000: 560-569.BIBTEX
• S.T. Wierzchoń. Generating optimal repertoire of antibody strings in an artificial immune system. Intelligent Information Systems 2000: 119-133. BIBTEX
• S.T. Wierzchoń, M.A. Kłopotek: Finding w>=2 probable explanations in a valuation-based system. Proc. The 8-th Int. Workshop on Intelligent Information Systems IIS'99 - Ustroń, June 14-18, 1999, Publisher IPI PAN, ISBN-83-910948-1-2, pp. 351- 360 ps document
• M.A. Kłopotek, S.T. Wierzchoń: A new qualitative rough-set approach to modeling belief functions. In: L. Polkowski, A. Skowron eds, Rough Sets And Current Trends In Computing, LNAI 1424 Springer-Verlag, 1998, str 346-353. DOI: 10.1007/3-540-69115-4_47. abstract
• M.A. Kłopotek, S.T. Wierzchoń: An interpretation for the conditional belief function in the theory of evidence. In: Z.Raś, A. Skowron (eds.) Foundations of Intelligent Systems. LNAI 1609, Springer-Verlag, Berlin, 1999, pp. 494-502. DOI: 10.1007/BFb0095137. abstract
• M.A. Kłopotek, S.T. Wierzchoń, M. Michalewicz. Application of a genetic algorithm for plausible justification of observations. KI 1996, LNCS, Springer 1996, 175-178 BIBTEX
• S.T. Wierzchoń, A. Pacan, M.A. Kłopotek: An object-oriented representation framework for hierarchical evidential reasoning. AIMSA 1990, Noth-Holland 1990, 239-248 BIBTEX

ArXiv papers

• M.A. Kłopotek, S.T. Wierzchoń. Query Optimization Properties of Modified VBS. CoRR abs/1909.12032 (2019)
• M.A. Kłopotek, S.T. Wierzchoń. On Marginally Correct Approximations of Dempster-Shafer Belief Functions from Data. CoRR abs/1812.02942 (2018)
• S.T. Wierzchoń, M.A. Kłopotek, M. Michalewicz. Reasoning and Facts Explanation in Valuation Based Systems. CoRR abs/1812.09086 (2018)
• M.A. Kłopotek, S.T. Wierzchoń, R.A. Kłopotek, E.A. Kłopotek. Traditional PageRank versus Network Capacity Bound. CoRR abs/1702.03734 (2017)
• M.A. Kłopotek, S.T. Wierzchoń. Basic Formal Properties of A Relational Model of The Mathematical Theory of Evidence. CoRR abs/1704.02468 (2017)
• M. Michalewicz, S.T. Wierzchoń, M.A. Kłopotek. Knowledge Acquisition, Representation \& Manipulation in Decision Support Systems. CoRR abs/1705.08440 (2017)
• M.A. Kłopotek, S.T. Wierzchoń, R.A. Kłopotek. Network Capacity Bound for Personalized PageRank in Multimodal Networks. CoRR abs/1706.00178 (2017)