Ing. Jiří Vomlel, Ph.D.

senior research fellow

Jiří Vomlel
vomlel@utia.cas.cz 266052398 Personal web
Department: Department of Decision-Making Theory
Research interests: Probabilistic methods in Artificial Intelligence, Bayesian networks

Biography

Publication list

Education

  • 1992 - 2000, Ph.D. in Artificial Intelligence, Faculty of Electrical Engineering of the Czech Technical University in Prague
  • 1987 - 1992, MSc. in Technical Cybernetics, Faculty of Electrical Engineering of the Czech Technical University in Prague
  • 1983 - 1987, Gymnazium in Jihlava

Work Experience

  • 2006 - now, Faculty of Management, University of Economics, Jindřichův Hradec
  • 1994 - 1999, 2002 - now, Department of Decision-making Theory, Institute of Information Theory and Automation of the Czech Academy of Sciences, Prague
  • 1997 - 2000, 2002 - 2004, Laboratory for Intelligent Systems (LISp), University of Economics, Prague
  • 1999 - 2002, The Research Unit of Decision Support Systems, Aalborg University, Denmark
  • 1992 - 1994, Transcom Ltd. Prague

Research Interests

  • Uncertainty in Artificial Intelligence
  • Probabilistic Methods in Artificial Intelligence
  • Probabilistic Graphical Models
  • Bayesian Networks
  • Computerized Adaptive Testing (CAT)
  • Decision Theoretic Troubleshooting
  • Marginal Problem

Research Projects

Conferences we organize/have organized

  • WUPES'22 – 12th Workshop on Uncertainty Processing, Kutná Hora, Czechia
  • ECSQARU'21 – 16th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty, Prague, Czechia
  • WUPES'18 – 11th Workshop on Uncertainty Processing, Třeboň, Czechia
  • PGM'18 – 9th International Conference on Probabilistic Graphical Models, Prague, Czechia
  • WUPES'15 – 10th Workshop on Uncertainty Processing, Monínec, Czechia
  • WUPES'12 – 9th Workshop on Uncertainty Processing, Marianské Lázně, Czechia
  • WUPES'09 – 8th Workshop on Uncertainty Processing, Liblice, Czechia
  • PGM'06 – 3rd European Workshop on Probabilistic Graphical Models, Prague, Czechia
  • WUPES'06 – 7th Workshop on Uncertainty Processing, Mikulov, Czechia
  • WUPES'03 – 6th Workshop on Uncertainty Processing, Hejnice, Czechia

Current PhD students

  • Martin Rod – Models of corporate architecture in the environment of public administration and their effective management and transformation based on uncertainty models
  • Iván Leonardo Pérez Cabrera – Probabilistic Graphical Models for Computerized Adaptive Testing

PhD graduates

Current MSc students

  • Barbora Bumbálková – Explainable artificial intelligence models for knowledge testing
  • Jan Makyda – Analysis of conspiracy and disinformation narratives using Bayesian networks
  • Lucie Čondlová – Bayesian networks for e-learning and assessment systems in education

MSc graduates

Professional activities

Books and chapters

  1. Carpitella S., Izquierdo J., Plajner Martin, Vomlel Jiří: Improved Industrial Risk Analysis via a Human Factor-Driven Bayesian Network Approach, Analytics Modeling in Reliability and Machine Learning and Its Applications, p. 1-349 Download Download DOI: 10.1007/978-3-031-72636-1_2 [2025]
  2. Vomlel Jiří, Studený Milan: Graphical and Algebraic Representatives of Conditional Independence Models, Advances in Probabilistic Graphical Models, p. 55-80, Eds: Lucas Peter, Gámez José A., Salmerón Antonio [2007]

Journal articles

  1. Vomlel Jiří, Kratochvíl Václav, Kratochvíl F.: Structural learning of mixed noisy-OR Bayesian networks, International Journal of Approximate Reasoning 161 Download Download DOI: 10.1016/j.ijar.2023.108990 [2023]
  2. Salman I., Vomlel Jiří: Learning the Structure of Bayesian Networks from Incomplete Data Using a Mixture Model, International Journal of Computing and Informatics 47 1 (2023), p. 83-96 Download Download DOI: 10.31449/inf.v47i1.4497 [2023]
  3. Kratochvíl F., Moeljadi D., Delpada B., Kratochvíl Václav, Vomlel Jiří: Aspectual pairing and aspectual classes in Abui, STUF-Language Typology and Universals 74, p. 621-657 Download Download DOI: 10.1515/stuf-2021-1046 [2021]
  4. Plajner Martin, Vomlel Jiří: Learning bipartite Bayesian networks under monotonicity restrictions, International Journal of General Systems 49 1 (2020), p. 88-111 Download Download DOI: 10.1080/03081079.2019.1692004 [2020]
  5. Jurčák Jan, Rezaei R., Bello González N., Schlichenmaier R., Vomlel Jiří: The magnetic nature of umbra-penumbra boundary in sunspots, Astronomy & Astrophysics 611 DOI: 10.1051/0004-6361/201732528 [2018]
  6. Djordjilović V., Chiogna M., Vomlel Jiří: An empirical comparison of popular structure learning algorithms with a view to gene network inference, International Journal of Approximate Reasoning 88 1 (2017), p. 602-613 Download DOI: 10.1016/j.ijar.2016.12.012 [2017]
  7. Kratochvíl Václav, Vomlel Jiří: Influence diagrams for speed profile optimization, International Journal of Approximate Reasoning 88 1 (2017), p. 567-586 Download DOI: 10.1016/j.ijar.2016.11.018 [2017]
  8. Vomlel Jiří: Generalizations of the noisy-or model, Kybernetika 51 3 (2015), p. 508-524 Download DOI: 10.14736/kyb-2015-3-0508 [2015]
  9. Vomlel Jiří, Tichavský Petr: Probabilistic inference with noisy-threshold models based on a CP tensor decomposition, International Journal of Approximate Reasoning 55 4 (2014), p. 1072-1092 Download DOI: 10.1016/j.ijar.2013.12.002 [2014]
  10. Ottosen T. J., Vomlel Jiří: All roads lead to Rome - New search methods for the optimal triangulation problem, International Journal of Approximate Reasoning 53 9 (2012), p. 1350-1366 Download DOI: 10.1016/j.ijar.2012.06.006 [2012]
  11. Vomlel Jiří: Rank of tensors of l-out-of-k functions: an application in probabilistic inference, Kybernetika 47 3 (2011), p. 317-336 Download [2011]
  12. Studený Milan, Vomlel Jiří: On open questions in the geometric approach to structural learning Bayesian nets, International Journal of Approximate Reasoning 52 5 (2011), p. 627-640 Download DOI: 10.1016/j.ijar.2010.09.004 [2011]
  13. Studený Milan, Vomlel Jiří, Hemmecke R.: A geometric view on learning Bayesian network structures, International Journal of Approximate Reasoning 51 5 (2010), p. 578-586 Download DOI: 10.1016/j.ijar.2010.01.014 [2010]
  14. Studený Milan, Vomlel Jiří: A reconstruction algorithm for the essential graph, International Journal of Approximate Reasoning 50 2 (2009), p. 385-413 Download DOI: 10.1016/j.ijar.2008.09.001 [2009]
  15. Rijmen F., Vomlel Jiří: Assessing the performance of variational methods for mixed logistic regression models, Journal of Statistical Computation and Simulation 78 8 (2008), p. 765-779 DOI: 10.1080/00949650701282507 [2008]
  16. Savický Petr, Vomlel Jiří: Exploiting Tensor Rank-One Decomposition in Probabilistic Inference, Kybernetika 43 5 (2007), p. 747-764 Download [2007]
  17. Vomlel Jiří: Noisy-or classifier, International Journal of Intelligent Systems 21 3 (2006), p. 381-389 [2006]
  18. Vomlel Jiří: Probabilistic reasoning with uncertain evidence, Neural Network World 15 5 (2004), p. 453-465 [2004]
  19. Vomlel Jiří: Integrating inconsistent data in a probabilistic model, Journal of Applied Non-Classical Logics 14 3 (2004), p. 367-386 [2004]
  20. Vomlel Jiří: Building adaptive tests using Bayesian networks, Kybernetika 40 3 (2004), p. 333-348 [2004]
  21. Kim Y. G., Valtorta M., Vomlel Jiří: A prototypical system for soft evidential update, Applied Intelligence 21 1 (2004), p. 81-97 [2004]
  22. Vomlel Jiří: Bayesian networks in educational testing, International Journal of Uncertainty Fuzziness and Knowledge-Based Systems 12 1 (2004), p. 83-100 [2004]

Other publications

  1. Pérez Cabrera Iván, Vomlel Jiří: Enhancing Bayesian Networks with Psychometric Models, Proceedings of Machine Learning Research (PMLR), Volume 246 : International Conference on Probabilistic Graphical Models, p. 401-414 Download Download [2024]
  2. Vomlel Jiří, Kuběna A., Šmíd Martin, Weinerová J.: Uncovering Relationships using Bayesian Networks: A Case Study on Conspiracy Theories, Proceedings of Machine Learning Research (PMLR), Volume 246 : International Conference on Probabilistic Graphical Models, p. 470-485 Download Download [2024]
  3. Pérez Cabrera Iván, Vomlel Jiří: On Identifiability of BN2A Networks, Symbolic and Quantitative Approaches to Reasoning with Uncertainty. ECSQARU 2023., p. 136-148, Eds: Bouraoui Zied, Vesic Srdjan Download DOI: 10.1007/978-3-031-45608-4_11 [2023]
  4. Rod M., Vomlel Jiří: Improving Czech Digital Government Based on Quantified Maturity Model of Enterprise Architecture, Proceedings of the 25th International Conference on Enterprise Information Systems, p. 600-607, Eds: Filipe Joaquim, Śmiałek Michał, Brodsky Alexander, Hammoudi Slimane Download DOI: 10.5220/0011855300003467 [2023]
  5. Kratochvíl F., Saad G., Vomlel Jiří, Kratochvíl Václav: Automatic Verb Classifier for Abui (AVC-abz), Proceedings of the Workshop on Resources and Technologies for Indigenous, Endangered and Lesser-resourced Languages in Eurasia within the 13th Language Resources and Evaluation Conference, p. 42-50 Download [2022]
  6. Peréz I., Vomlel Jiří: On the rank of 2×2×2 probability tables, Proceedings of Machine Learning Research, Volume 186 : Proceedings of The 11th International Conference on Probabilistic Graphical Models, p. 361-372, Eds: Salmerón Antonio, Rumí Rafael Download [2022]
  7. Kratochvíl F., Kratochvíl Václav, Vomlel Jiří: Learning Noisy-Or Networks with an Application in Linguistics, Proceedings of Machine Learning Research, Volume 186 : Proceedings of The 11th International Conference on Probabilistic Graphical Models, p. 277-288, Eds: Salmerón Antonio, Rumí Rafael Download [2022]
  8. Kratochvíl F., Kratochvíl Václav, Saad G., Vomlel Jiří: Modeling the spread of loanwords in South-East Asia using sailing navigation software and Bayesian networks, Proceedings of the 12th Workshop on Uncertainty Processing, p. 135-146, Eds: Studený Milan, Ay Nihat, Coletti Giulianella, Kleiter Gernot D., Shenoy Prakash P. Download [2022]
  9. Plajner Martin, Vomlel Jiří: Bayesian Networks for the Test Score Prediction: A Case Study on a Math Graduation Exam, Symbolic and Quantitative Approaches to Reasoning with Uncertainty. ECSQARU 2021., p. 255-267, Eds: Vejnarová Jiřina, Wilson Nic Download DOI: 10.1007/978-3-030-86772-0_19 [2021]
  10. Carpitella Silvia, Izquierdo J., Plajner Martin, Vomlel Jiří: Integrating the human factor in FMECA-based risk evaluation through Bayesian networks, Modelling for Engineering & Human Behaviour 2020, p. 24-29 Download [2020]
  11. Švorc Jan, Vomlel Jiří: Subjective well-being and the individual material situation in Central Europe: A Bayesian network approach, ÚTIA AV ČR (Praha, 2020) Download [2020]
  12. Švorc Jan, Vomlel Jiří: Bayesian Networks for the Analysis of Subjective Well-Being, Proceedings of the 22nd Czech-Japan Seminar on Data Analysis and Decision Making (CJS’19), p. 175-188, Eds: Inuiguchi Masahiro, Jiroušek Radim, Kratochvíl Václav Download [2019]
  13. Studený Milan, Kratochvíl Václav, Vomlel Jiří: On irreducible min-balanced set systems, Symbolic and Quantitative Approaches to Reasoning with Uncertainty : 15th European Conference, ECSQARU 2019, Belgrade, Serbia, September 18-20, 2019, p. 444-454, Eds: Kern-Isberner G., Ognjanovic Z. Download DOI: 10.1007/978-3-030-29765-7_37 [2019]
  14. Tichavský Petr, Vomlel Jiří: Representations of Bayesian Networks by Low-Rank Models, Proceedings of Machine Learning Research, p. 463-472, Eds: Kratochvíl Václav, Studený Milan Download [2018]
  15. Plajner Martin, Vomlel Jiří: Gradient Descent Parameter Learning of Bayesian Networks under Monotonicity Restrictions, Proceedings of the 11th Workshop on Uncertainty Processing (WUPES’18), p. 153-164, Eds: Kratochvíl Václav, Vejnarová Jiřina Download [2018]
  16. Švorc Jan, Vomlel Jiří: Employing Bayesian Networks for Subjective Well-being Prediction, Proceedings of the 11th Workshop on Uncertainty Processing (WUPES’18), p. 189-204, Eds: Kratochvíl Václav, Vejnarová Jiřina Download [2018]
  17. Vomlel Jiří, Kratochvíl Václav: Dynamic Bayesian Networks for the Classification of Sleep Stages, Proceedings of the 11th Workshop on Uncertainty Processing (WUPES’18), p. 205-215, Eds: Kratochvíl Václav, Vejnarová Jiřina Download [2018]
  18. Plajner Martin, Magauina A., Vomlel Jiří: Question Selection Methods for Adaptive Testing with Bayesian Networks, Proceedings of the 20th Czech-Japan Seminar on Data Analysis and Decision Making under Uncertainty, p. 164-175, Eds: Novák V., Inuiguchi M., Štěpnička M. Download [2017]
  19. Salman I., Vomlel Jiří: A machine learning method for incomplete and imbalanced medical data, Proceedings of the 20th Czech-Japan Seminar on Data Analysis and Decision Making under Uncertainty, CZECH-JAPAN SEMINAR 2017, p. 188-195, Eds: Novák Vilém, Inuiguchi Masahiro, Štěpnička Martin Download [2017]
  20. Vomlel Jiří, Kratochvíl Václav: Solving Trajectory Optimization Problems by Influence Diagrams, Symbolic and Quantitative Approaches to Reasoning with Uncertainty. ECSQARU 2017, p. 146-155, Eds: Antonucci A., Cholvy L., Papini O. Download DOI: 10.1007/978-3-319-61581-3_14 [2017]
  21. Plajner Martin, Vomlel Jiří: Monotonicity in Bayesian Networks for Computerized Adaptive Testing, Symbolic and Quantitative Approaches to Reasoning with Uncertainty. ECSQARU 2017, p. 125-134, Eds: Antonucci A., Cholvy L., Papini O. Download DOI: 10.1007/978-3-319-61581-3_12 [2017]
  22. Plajner Martin, Vomlel Jiří: Student Skill Models in Adaptive Testing, Proceedings of the Eighth International Conference on Probabilistic Graphical Models, p. 403-414, Eds: Antonucci A., Corani G., Polpo de Campos C. Download [2016]
  23. Kratochvíl Václav, Vomlel Jiří: Influence Diagrams for the Optimization of a Vehicle Speed Profile, Proceedings of the Twelfth UAI Bayesian Modeling Applications Workshop (BMAW 2015) co-located with the 31st Conference on Uncertainty in Artificial Intelligence (UAI 2015), p. 44-53, Eds: Agosta J. M., Carvalho R. N. Download [2016]
  24. Plajner Martin, Vomlel Jiří: Bayesian Network Models for Adaptive Testing, Proceedings of the Twelfth UAI Bayesian Modeling Applications Workshop (BMAW 2015) co-located with the 31st Conference on Uncertainty in Artificial Intelligence (UAI 2015), p. 24-33, Eds: Agosta J. M., Carvalho R. N. Download [2016]
  25. Djordjilović V., Chiogna M., Vomlel Jiří: An empirical comparison of popular algorithms for learning gene networks, Proceedings of the 10th Workshop on Uncertainty Processing WUPES’15, p. 61-72 Download [2015]
  26. Vomlel Jiří, Kratochvíl Václav: Influence diagrams for speed profile optimization" computational issues, Proceedings of the 10th Workshop on Uncertainty Processing WUPES’15, p. 203-216 Download [2015]
  27. Vomlel Jiří, Tichavský Petr: An Approximate Tensor-Based Inference Method Applied to the Game of Minesweeper, Probabilistic Graphical Models, p. 535-550, Eds: van der Gaag Linda C. , Feelders Ad J. Download DOI: 10.1007/978-3-319-11433-0_35 [2014]
  28. Vomlel Jiří, Tichavský Petr: Probabilistic Inference in BN2T Models by Weighted Model Counting, Proceedings of the Twelfth Scandinavian Conference on Artificial Intelligence, p. 275-284, Eds: Jaeger Manfred, Nielsen Thomas Dyhre, Viappiani Paolo Download DOI: 10.3233/978-1-61499-330-8-275 [2013]
  29. Vomlel Jiří: A generalization of the noisy-or model to multivalued parent variables, Proceedings of the 16th Czech-Japan Seminar on Data Analysis and Decision Making under Uncertainty (CJS-2013), p. 19-27 Download [2013]
  30. Vomlel Jiří, Kružík H., Tůma P., Přeček J., Hutyra M.: Machine Learning Methods for Mortality Prediction in Patients with ST Elevation Myocardial Infarction, Proceedings of The Ninth Workshop on Uncertainty Processing, p. 204-213, Eds: Kroupa Tomáš, Vejnarová Jiřina Download [2012]
  31. Vomlel Jiří, Tichavský Petr: Computationally efficient probabilistic inference with noisy threshold models based on a CP tensor decomposition, Proceedings of The Sixth European Workshop on Probabilistic Graphical Models, p. 355-362 Download [2012]
  32. Kratochvíl Václav, Kružík H., Tůma P., Vomlel Jiří, Somol Petr: Predikce hospitalizační mortality u akutního infarktu myokardu, Sborník příspěvků MEDSODFT 2011, p. 128-138 Download [2011]
  33. Ottosen T., Vomlel Jiří: All roads lead to Rome — New search methods for optimal triangulations, Proceedings of the Fifth European Workshop on Probabilistic Graphical Models (PGM-2010), p. 209-216 Download [2010]
  34. Ottosen T., Vomlel Jiří: Honour Thy Neighbour — Clique Maintenance in Dynamic Graphs, Proceedings of the Fifth European Workshop on Probabilistic Graphical Models (PGM-2010), p. 201-208 Download [2010]
  35. Studený Milan, Hemmecke R., Vomlel Jiří, Lindner S.: Polyhedral approach to statistical learning graphical models, Abstracts of The 2nd CREST-SBM International Conference on Harmony of Groebner Bases and the Moderm Industrial Socienty, p. 1-4 Download [2010]
  36. Vomlelová M., Vomlel Jiří: Applying Bayesian networks in the game of Minesweeper, Proceedings of Czech-Japan Seminar on Data Analysis and Decision Making under Uncertainty, p. 153-162, Eds: Novák V., Pavliska V., Štěpnička M. Download [2009]
  37. Vomlel Jiří, Savický Petr: An experimental comparison of triangulation heuristics on transformed BN2O networks, Proceedings of the 8th Workshop on Uncertainty Processing, p. 251-260, Eds: Kroupa Tomáš, Vejnarová Jiřina Download [2009]
  38. Studený Milan, Vomlel Jiří: On open questions in the geometric approach to learning BN structures, WUPES'09, p. 226-236, Eds: Kroupa T., Vejnarová J. Download [2009]
  39. Savický Petr, Vomlel Jiří: Triangulation Heuristics for BN2O Networks, Symbolic and Quantitative Approaches to Reasoning with Uncertainty, p. 566-577, Eds: Sossai C., Chemello G. DOI: 10.1007/978-3-642-02906-6_49 [2009]
  40. Studený Milan, Vomlel Jiří: A Geometric Approach to Learning BN Structures, Proceedings of the Fourth European Workshop on Probabilistic Graphical Models (PGM'08), p. 281-288, Eds: Jaeger Manfred, Nielsen Thomas D. Download [2008]
  41. Vomlel Jiří, Savický Petr: Arithmetic circuits of the noisy-or models, Proceedings of the Fourth European Workshop on Probabilistic Graphical Models (PGM'08), p. 297-304, Eds: Jaeger Manfred , Nielsen Thomas D. Download [2008]
  42. Jiroušek Radim, Kratochvíl Václav, Kroupa Tomáš, Lněnička Radim, Studený Milan, Vomlel Jiří, Hampl P., Hamplová H.: An evaluation of string similarity measures on pricelists of computer components, Proceedings of Czech-Japan Seminar on Data Analysis and Decision Making under Uncertainty /10./, p. 1-6, Eds: Kroupa T., Vejnarová J. [2007]
  43. Vomlel Jiří, Studený Milan: Using imsets for learning Bayesian networks, Proceedings of Czech-Japan Seminar on Data Analysis and Decision Making under Uncertainty /10./, p. 178-189, Eds: Kroupa T., Vejnarová J. [2007]
  44. Savický Petr, Vomlel Jiří: Exploiting Tensor Rank-one Decomposition in Probabilistic Inference, ÚTIA AV ČR (Praha, 2006) [2006]
  45. Proceedings of the 3th European Workshop on Probabilistic Graphical Models, Agentura Action M (Praha, 2006) [2006]
  46. Savický Petr, Vomlel Jiří: Tensor Rank-One Decomposition of Probability Tables, IPMU 2006. Information Processing and Management of Uncertainty in Knowledge-Based Systems, p. 2292-2299, Eds: Bouchon-Meunier B., Yager R. R. [2006]
  47. Vomlel Jiří: Decomposition of probability tables representing Boolean functions, Proceedings of the 8th Czech-Japan Seminar on Data Analysis and Decision Making under Uncertainty, p. 159-166, Eds: Kroupa T., Vejnarová J., Oeconomica (Praha, 2005) [2005]
  48. Hamplová H., Ivánek J., Jiroušek Radim, Kroupa Tomáš, Lněnička Radim, Studený Milan, Vomlel Jiří: Decision support system for comparison of price lists, Proceedings of the 8th Czech-Japan Seminar on Data Analysis and Decision Making under Uncertainty, p. 32-38, Eds: Kroupa T., Vejnarová J., Oeconomica (Praha, 2005) [2005]
  49. Savický Petr, Vomlel Jiří: Tensor Rank-One Decomposition of Probability Tables, ÚTIA AV ČR (Praha, 2005) [2005]
  50. Studený Milan, Vomlel Jiří: Transition between graphical and algebraic representatives of Bayesian network models, Proceedings of the Second European Workshop on Probabilistic Graphical Models, p. 193-200 [2004]
  51. Vomlel Jiří: Bayesian networks in Mastermind, Proceedings of the 7th Czech-Japan Seminar on Data Analysis and Decision Making under Uncertainty, p. 185-190 [2004]
  52. Vomlel Jiří: Thoughts on belief and model revision with uncertain evidence, Znalosti 2004. Sborník příspěvků 3.ročníku konference, p. 126-137 [2004]
  53. Vomlel Jiří: Noisy-or classifier, Proceedings of the 6th Workshop on Uncertainty Processing, p. 291-302, University of Economics (Prague, 2003) [2003]
  54. Vomlel Jiří: Integrating inconsistent data in a probabilistic model, Uncertainty, Incompleteness, Imprecision and Conflict in Multiple Data Sources, p. 1-10, Eds: Liu W., Cholvy L., Benferhat S., UUJ (Aalborg, 2003) [2003]
  55. Vomlel Jiří: Two applications of Bayesian networks, Znalosti 2003. Sborník příspěvků 2. ročníku konference, p. 73-82, VŠB (Ostrava, 2003) [2003]
  56. Vomlel Jiří: Bayesian networks in educational testing, Proceedings of the First European Workshop on Probabilistic Graphical Models, p. 176-185, Eds: Gámez J. A., Salmerón A., University of Castilla (Cuenca, 2002) [2002]
  57. Vomlel Jiří: Methods of Probabilistic Knowledge Integration. Ph.D. Thesis (1999) [1999]
  58. Vomlel Jiří: Statistical methods for probabilistic model parameter estimation from incomplete data and their application to the marginal problem, Proceedings of the 4th Workshop on Uncertainty Processing, p. 184-193, VŠE (Praha, 1997) [1997]
  59. Jiroušek Radim, Vomlel Jiří: Inconsistent knowledge integration in a probabilistic model, Mathematical Models for Handling Partial Knowledge in Artificial Intelligence, p. 263-270, Eds: Colleti G., Dubois D., Scozzafava R., Plenum Press (New York, 1995) [1995]
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