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Publications - Jiří Vomlel


Books and chapters (1)
1. * Jiří Vomlel, Milan Studený: Graphical and Algebraic Representatives of Conditional Independence Models. Advances in Probabilistic Graphical Models, 55-80. Springer Verlag, Berlin Heildeberg 2007.

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

Conference papers (51)
1. * M. Rod, Jiří Vomlel: Improving Czech Digital Government Based on Quantified Maturity Model of Enterprise Architecture. Proceedings of the 25th International Conference on Enterprise Information Systems, 600-607. SCITEPRESS, Setúbal 2023.   Download
2. * Iván Pérez Cabrera, Jiří Vomlel: On Identifiability of BN2A Networks. Symbolic and Quantitative Approaches to Reasoning with Uncertainty. ECSQARU 2023., 136-148. Springer, Cham 2023.   Download
3. * I. Peréz, Jiří Vomlel: 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, 361-372. PMLR, Almerı́a 2022.   Download
4. * F. Kratochvíl, G. Saad, Jiří Vomlel, Václav Kratochvíl: 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, 42-50. European Language Resources Association, Paris 2022.   Download
5. * F. Kratochvíl, Václav Kratochvíl, Jiří Vomlel: 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, 277-288. PMLR, Almerı́a 2022.   Download
6. * F. Kratochvíl, Václav Kratochvíl, G. Saad, Jiří Vomlel: Modeling the spread of loanwords in South-East Asia using sailing navigation software and Bayesian networks. Proceedings of the 12th Workshop on Uncertainty Processing, 135-146. MatfyzPress, Prague 2022.   Download
7. * Martin Plajner, Jiří Vomlel: 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., 255-267. Springer, Cham 2021.   Download
8. * Silvia Carpitella, J. Izquierdo, Martin Plajner, Jiří Vomlel: Integrating the human factor in FMECA-based risk evaluation through Bayesian networks. Modelling for Engineering & Human Behaviour 2020, 24-29. The Universitat Politècnica de València, Valencia 2020.   Download
9. * Jan Švorc, Jiří Vomlel: Bayesian Networks for the Analysis of Subjective Well-Being. Proceedings of the 22nd Czech-Japan Seminar on Data Analysis and Decision Making (CJS’19), 175-188. MatfyzPress, Praha 2019.   Download
10. * Milan Studený, Václav Kratochvíl, Jiří Vomlel: 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, 444-454. Springer Intenational Publishing, Cham 2019.   Download
11. * Jan Švorc, Jiří Vomlel: Employing Bayesian Networks for Subjective Well-being Prediction. Proceedings of the 11th Workshop on Uncertainty Processing (WUPES’18), 189-204. MatfyzPress, Publishing House of the Faculty of Mathematics and Physics Charles University, Praha 2018.   Download
12. * Jiří Vomlel, Václav Kratochvíl: Dynamic Bayesian Networks for the Classification of Sleep Stages. Proceedings of the 11th Workshop on Uncertainty Processing (WUPES’18), 205-215. MatfyzPress, Publishing House of the Faculty of Mathematics and Physics Charles University, Praha 2018.   Download
13. * Martin Plajner, Jiří Vomlel: Gradient Descent Parameter Learning of Bayesian Networks under Monotonicity Restrictions. Proceedings of the 11th Workshop on Uncertainty Processing (WUPES’18), 153-164. MatfyzPress, Publishing House of the Faculty of Mathematics and Physics Charles University, Praha 2018.   Download
14. * Petr Tichavský, Jiří Vomlel: Representations of Bayesian Networks by Low-Rank Models. Proceedings of Machine Learning Research, 463-472. UTIA, Praha 2018.   Download
15. * Martin Plajner, Jiří Vomlel: Monotonicity in Bayesian Networks for Computerized Adaptive Testing. Symbolic and Quantitative Approaches to Reasoning with Uncertainty. ECSQARU 2017, 125-134. Springer, Cham 2017.   Download
16. * Jiří Vomlel, Václav Kratochvíl: Solving Trajectory Optimization Problems by Influence Diagrams. Symbolic and Quantitative Approaches to Reasoning with Uncertainty. ECSQARU 2017, 146-155. Springer, Cham 2017.   Download
17. * I. Salman, Jiří Vomlel: 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, 188-195. University of Ostrava, Ostrava 2017.   Download
18. * Martin Plajner, A. Magauina, Jiří Vomlel: Question Selection Methods for Adaptive Testing with Bayesian Networks. Proceedings of the 20th Czech-Japan Seminar on Data Analysis and Decision Making under Uncertainty, 164-175. University of Ostrava, Ostrava 2017.   Download
19. * Martin Plajner, Jiří Vomlel: 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), 24-33. Sun SITE Central Europe, Achen 2016.   Download
20. * Martin Plajner, Jiří Vomlel: Student Skill Models in Adaptive Testing. Proceedings of the Eighth International Conference on Probabilistic Graphical Models, 403-414. Microtome Publishing, Brookline 2016.   Download
21. * Václav Kratochvíl, Jiří Vomlel: 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), 44-53. Sun SITE Central Europe, Achen 2016.   Download
22. * Jiří Vomlel, Václav Kratochvíl: Influence diagrams for speed profile optimization" computational issues. Proceedings of the 10th Workshop on Uncertainty Processing WUPES’15, 203-216. Oeconomica, Praha 2015.   Download
23. * V. Djordjilović, M. Chiogna, Jiří Vomlel: An empirical comparison of popular algorithms for learning gene networks. Proceedings of the 10th Workshop on Uncertainty Processing WUPES’15, 61-72. Oeconomica, Praha 2015.   Download
24. * Jiří Vomlel, Petr Tichavský: An Approximate Tensor-Based Inference Method Applied to the Game of Minesweeper. Probabilistic Graphical Models, 535-550. Springer International Publishing, Cham Heidelberg NewYork Dordrecht London 2014.   Download
25. * Jiří Vomlel: 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), 19-27. Faculty of Management, University of Economics, Jindřichův Hradec, Jindřichův Hradec 2013.   Download
26. * Jiří Vomlel, Petr Tichavský: Probabilistic Inference in BN2T Models by Weighted Model Counting. Proceedings of the Twelfth Scandinavian Conference on Artificial Intelligence, 275-284. IOS Press, Amsterdam 2013.   Download
27. * Jiří Vomlel, Petr Tichavský: Computationally efficient probabilistic inference with noisy threshold models based on a CP tensor decomposition. Proceedings of The Sixth European Workshop on Probabilistic Graphical Models, 355-362. DECSAI, University of Granada, Granada 2012.   Download
28. * Jiří Vomlel, H. Kružík, P. Tůma, J. Přeček, M. Hutyra: Machine Learning Methods for Mortality Prediction in Patients with ST Elevation Myocardial Infarction. Proceedings of The Ninth Workshop on Uncertainty Processing, 204-213. Faculty of Management, University of Economics, Prague, Prague 2012.   Download
29. Václav Kratochvíl, H. Kružík, P. Tůma, Jiří Vomlel, Petr Somol: Predikce hospitalizační mortality u akutního infarktu myokardu. Sborník příspěvků MEDSODFT 2011, 128-138. Creative Connections, s.r.o, Praha 2011.   Download
30. * T. Ottosen, Jiří Vomlel: All roads lead to Rome — New search methods for optimal triangulations. Proceedings of the Fifth European Workshop on Probabilistic Graphical Models (PGM-2010), 209-216. HIIT Publications, Helsinki 2010.   Download
31. * T. Ottosen, Jiří Vomlel: Honour Thy Neighbour — Clique Maintenance in Dynamic Graphs. Proceedings of the Fifth European Workshop on Probabilistic Graphical Models (PGM-2010), 201-208. HIIT Publications, Helsinki 2010.   Download
32. * Petr Savický, Jiří Vomlel: Triangulation Heuristics for BN2O Networks. Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 566-577. Springer, Berlin 2009.
33. * Milan Studený, Jiří Vomlel: On open questions in the geometric approach to learning BN structures. WUPES'09, 226-236. University of Economics Prague, Praha 2009.   Download
34. * M. Vomlelová, Jiří Vomlel: Applying Bayesian networks in the game of Minesweeper. Proceedings of Czech-Japan Seminar on Data Analysis and Decision Making under Uncertainty, 153-162. Universitatis Ostraviensis, Ostrava 2009.   Download
35. * Jiří Vomlel, Petr Savický: An experimental comparison of triangulation heuristics on transformed BN2O networks. Proceedings of the 8th Workshop on Uncertainty Processing, 251-260. University of Economics, Praha 2009.   Download
36. * Jiří Vomlel, Petr Savický: Arithmetic circuits of the noisy-or models. Proceedings of the Fourth European Workshop on Probabilistic Graphical Models (PGM'08), 297-304. Aalborg University, Aalborg 2008.   Download
37. * Milan Studený, Jiří Vomlel: A Geometric Approach to Learning BN Structures. Proceedings of the Fourth European Workshop on Probabilistic Graphical Models (PGM'08), 281-288. Aalborg University, Aalborg 2008.   Download
38. * Jiří Vomlel, Milan Studený: Using imsets for learning Bayesian networks. Proceedings of Czech-Japan Seminar on Data Analysis and Decision Making under Uncertainty /10./, 178-189. UTIA AV ČR, Praha 2007.
39. * Radim Jiroušek, Václav Kratochvíl, Tomáš Kroupa, Radim Lněnička, Milan Studený, Jiří Vomlel, P. Hampl, H. Hamplová: 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./, 1-6. UTIA AV ČR, Praha 2007.
40. * Petr Savický, Jiří Vomlel: Tensor Rank-One Decomposition of Probability Tables. IPMU 2006. Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2292-2299. Editions EDK, Paris 2006.
41. * H. Hamplová, J. Ivánek, Radim Jiroušek, Tomáš Kroupa, Radim Lněnička, Milan Studený, Jiří Vomlel: Decision support system for comparison of price lists. Proceedings of the 8th Czech-Japan Seminar on Data Analysis and Decision Making under Uncertainty, 32-38. Oeconomica, Praha 2005.
42. * Jiří Vomlel: Decomposition of probability tables representing Boolean functions. Proceedings of the 8th Czech-Japan Seminar on Data Analysis and Decision Making under Uncertainty, 159-166. Oeconomica, Praha 2005.
43. * Jiří Vomlel: Bayesian networks in Mastermind. Proceedings of the 7th Czech-Japan Seminar on Data Analysis and Decision Making under Uncertainty, 185-190. Osaka University, Awaji 2004.
44. * Jiří Vomlel: Thoughts on belief and model revision with uncertain evidence. Znalosti 2004. Sborník příspěvků 3.ročníku konference, 126-137. VŠB TU, Ostrava 2004.
45. * Milan Studený, Jiří Vomlel: Transition between graphical and algebraic representatives of Bayesian network models. Proceedings of the Second European Workshop on Probabilistic Graphical Models, 193-200. University of Nijmegen, Nijmegen 2004.
46. * Jiří Vomlel: Integrating inconsistent data in a probabilistic model. Uncertainty, Incompleteness, Imprecision and Conflict in Multiple Data Sources, 1-10. UUJ, Aalborg 2003.
47. * Jiří Vomlel: Two applications of Bayesian networks. Znalosti 2003. Sborník příspěvků 2. ročníku konference, 73-82. VŠB, Ostrava 2003.
48. * Jiří Vomlel: Noisy-or classifier. Proceedings of the 6th Workshop on Uncertainty Processing, 291-302. University of Economics, Prague 2003.
49. * Jiří Vomlel: Bayesian networks in educational testing. Proceedings of the First European Workshop on Probabilistic Graphical Models, 176-185. University of Castilla, Cuenca 2002.
50. * Jiří Vomlel: 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, 184-193. VŠE, Praha 1997.
51. * Radim Jiroušek, Jiří Vomlel: Inconsistent knowledge integration in a probabilistic model. Mathematical Models for Handling Partial Knowledge in Artificial Intelligence, 263-270. Plenum Press, New York 1995.

Other publications (5)
1. * Jan Švorc, Jiří Vomlel: Subjective well-being and the individual material situation in Central Europe: A Bayesian network approach. Research Report 2387. ÚTIA AV ČR, Praha 2020.   Download
2. * Milan Studený, R. Hemmecke, Jiří Vomlel, S. Lindner: 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, 1-4. JST CREST, Osaka 2010.   Download
3. * Petr Savický, Jiří Vomlel: Exploiting Tensor Rank-one Decomposition in Probabilistic Inference. Interní publikace - DAR - ÚTIA 2006/19. ÚTIA AV ČR, Praha 2006.
4. * Petr Savický, Jiří Vomlel: Tensor Rank-One Decomposition of Probability Tables. Interní publikace - DAR - ÚTIA 2005/26. ÚTIA AV ČR, Praha 2005.