Sławomir T. Wierzchoń

List of Publications

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

P.K. Singh, S.T. Wierzchoń, W. Pawłowski, A.K. Kar and Y. Kumar. IoT, Big Data and AI for Improving Quality of Everyday Life: Present and Future Challenges, Studies in Computational Intelligence 1104. Springer Cham 2023. DOI
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

S. Tanwar, S.T. Wierzchoń, P.K. Singh, M. Ganzha, and G. Epiphaniou (Eds.) Proc. of Fourth International Conference on Computing, Communications, and Cyber-Security, IC4S 2022, LNNS 664, Springer 2023
P.K. Singh, S.T. Wierzchoń, S. Tanwar, J.J.P.C. Rodrigues, and M. Ganzha (Eds.) Proc. of Third International Conference on Computing, Communications, and Cyber-Security, IC4S 2021, LNNS 421, Springer2022
P.K. Singh, S.T. Wierzchoń, J.K. Chhabra, and S. Tanwar (Eds.) Futuristic Trends in Networks and Computing Technologies LNEE 936, Springer 2022
P.K. Singh, M.H. Kolekar, S. Tanwar, S.T. Wierzchoń, and R.K. Bhatnagar (Eds.) Emerging Technologies for Computing, Communication and Smart Cities, Proc. of ETCCS 2021, LNEE 875, Springer 2022
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

M.A. Klopotek, B. Starosta, and S.T. Wierzchoń. Eigenvalue-Based Incremental Spectral Clustering. J. Artif. Intell. Soft Comput. Res. 14(2): 157-169 (2024), DOI:
B. Starosta, M. Kłopotek, and S.T. Wierzchoń. Hashtag Similarity Based on Laplacian Eigenvalue Spectrum. Progress in Polish Artificial Intelligence Research 4, 2023, DOI
B. Starosta, M.A. Kłopotek, and S.T. Wierzchoń. Towards explainability of hashtags in the light of Graph Spectral Clustering methods. Studia Informatica. System and information technology, 29(2),57-68, 2023, DOI
M.A. Kłopotek, S.T. Wierzchoń, and R.A. Kłopotek. Network Capacity Bound for Personalized PageRank in Multimodal Networks. Fundamenta Informaticae, 189(1), pp. 49-68, 2022
P. Borkowski, M. Kłopotek, B. Starosta, S.T. Wierzchoń, and M. Sydow. Eigenvalue based spectral classification. PLOS ONE, 18(4), 2023, DOI
M. Kłopotek, S.T. Wierzchoń, and R. Kłopotek. Weighted Laplacians of Grids and Their Applications for Inspection of Spectral Graph Clustering Methods. TASK Quarterly, 25(3), 2021
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 Eigenvalue-Based Incremental Spectral Clusteringin 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

M.A. Kłopotek, S.T. Wierzchoń, B. Starosta, D. Czerski, and P. Borkowski: Towards Explaining the Spectrogram of Graph Spectral Clustering in Text Document Domain. In: Int'l Conference on Computer Information Systems and Industrial Management, CISIM 2024, LNCS 14902, Springer 2024, pp. 372 - 386, DOI:
M.A. Klopotek, S.T. Wierzchoń, B. Starosta, D. Czerski, and P. Borkowski: BiWeighted Regular Grid Graphs - A New Class of Graphs for Which Graph Spectral Clustering is Applicable in Analytical Form. In: Computational Science – ICCS 2024: 24th International Conference,. LNCS 14833, Pages 296 - 311, Springer, Cham. (2024)
B. Starosta, M. Kłopotek, S.T. Wierzchon, and D. Czerski: Hashtag Discernability - Competitiveness Study of Graph Spectral and Other Clustering Methods. In: Proc. of the 18th Conf. on Computer Science and Intelligent Systems, M. Ganzha, L. Maciaszek, M. Paprzycki, D. Ślęzak (eds). ACSIS, Vol. 35, pages 759–767 (2023)
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. Klopotek, B. Starosta, and S.T. Wierzchoń. Eigenvalue-Based Incremental Spectral Clustering. CoRR abs/2308.10999 (2023)
B. Starosta, M.A. Kłopotek and S.T. Wierzchoń. Explainable Graph Spectral Clustering of Text Documents. CoRR abs/2308.00504 (2023)
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)

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