Troubleshooting with Simultaneous Models. - Jirí Vomlel; Claus Skaanning (ECSQARU, 2001)

The SACSO methodology for troubleshooting complex systems. - Finn Verner Jensen; Uffe Kjærulff; Brian Kristiansen; Helge Langseth; Claus Skaanning; Jirí Vomlel; Marta Vomlelová (Artif. Intell. Eng. Des. Anal. Manuf., 2001)

Exploiting Functional Dependence in Bayesian Network Inference. - Jirí Vomlel (UAI, 2002)

Soft evidential update for probabilistic multiagent systems. - Marco Valtorta; Young-Gyun Kim; Jirí Vomlel (Int. J. Approx. Reason., 2002)

Troubleshooting: NP-hardness and solution methods. - Marta Vomlelová; Jirí Vomlel (Soft Comput., 2003)

A Prototypical System for Soft Evidential Update. - Young-Gyun Kim; Marco Valtorta; Jirí Vomlel (Appl. Intell., 2004)

Bayesian Networks In Educational Testing. - Jirí Vomlel (Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2004)

Integrating Inconsistent Data in a Probabilistic Model. - Jirí Vomlel (J. Appl. Non Class. Logics, 2004)

Building adaptive tests using Bayesian networks. - Jirí Vomlel (Kybernetika, 2004)

Noisy-or classifier. - Jirí Vomlel (Int. J. Intell. Syst., 2006)

Exploiting tensor rank-one decomposition in probabilistic inference. - Petr Savický; Jirí Vomlel (Kybernetika, 2007)

Editorial Note. - Milan Studený; Jirí Vomlel (Int. J. Approx. Reason., 2008)

Triangulation Heuristics for BN2O Networks. - Petr Savický; Jirí Vomlel (ECSQARU, 2009)

A reconstruction algorithm for the essential graph. - Milan Studený; Jirí Vomlel (Int. J. Approx. Reason., 2009)

A geometric view on learning Bayesian network structures. - Milan Studený; Jirí Vomlel; Raymond Hemmecke (Int. J. Approx. Reason., 2010)

On open questions in the geometric approach to structural learning Bayesian nets. - Milan Studený; Jirí Vomlel (Int. J. Approx. Reason., 2011)

Rank of tensors of l-out-of-k functions: an application in probabilistic inference. - Jirí Vomlel (Kybernetika, 2011)

Prediction Model of Inpatient Mortality for Patients with Myocardial Infarction. - Hynek Kruzík; Jirí Vomlel; Václav Kratochvíl; Petr Tuma 002; Petr Somol (HEALTHINF, 2012)

All roads lead to Rome - New search methods for the optimal triangulation problem. - Thorsten J. Ottosen; Jirí Vomlel (Int. J. Approx. Reason., 2012)

Probabilistic Inference in BN2T Models by Weighted Model Counting. - Jirí Vomlel; Petr Tichavský (SCAI, 2013)

An Approximate Tensor-Based Inference Method Applied to the Game of Minesweeper. - Jirí Vomlel; Petr Tichavský (Probabilistic Graphical Models, 2014)

On tensor rank of conditional probability tables in Bayesian networks. - Jirí Vomlel; Petr Tichavský (CoRR, 2014)

Probabilistic inference with noisy-threshold models based on a CP tensor decomposition. - Jirí Vomlel; Petr Tichavský (Int. J. Approx. Reason., 2014)

Influence Diagrams for the Optimization of a Vehicle Speed Profile. - Václav Kratochvíl; Jirí Vomlel (BMA@UAI, 2015)

Bayesian Network Models for Adaptive Testing. - Martin Plajner; Jirí Vomlel (BMA@UAI, 2015)

Generalizations of the noisy-or model. - Jirí Vomlel (Kybernetika, 2015)

Student Skill Models in Adaptive Testing. - Martin Plajner; Jirí Vomlel (Probabilistic Graphical Models, 2016)

Probabilistic Models for Computerized Adaptive Testing: Experiments. - Martin Plajner; Jirí Vomlel (CoRR, 2016)

Monotonicity in Bayesian Networks for Computerized Adaptive Testing. - Martin Plajner; Jirí Vomlel (ECSQARU, 2017)

Solving Trajectory Optimization Problems by Influence Diagrams. - Jirí Vomlel; Václav Kratochvíl (ECSQARU, 2017)

Solving the Brachistochrone Problem by an Influence Diagram. - Jirí Vomlel (CoRR, 2017)

Solving the Goddard problem by an influence diagram. - Jirí Vomlel; Václav Kratochvíl (CoRR, 2017)

An empirical comparison of popular structure learning algorithms with a view to gene network inference. - Vera Djordjilovic; Monica Chiogna; Jirí Vomlel (Int. J. Approx. Reason., 2017)

Influence diagrams for speed profile optimization. - Václav Kratochvíl; Jirí Vomlel (Int. J. Approx. Reason., 2017)

Representations of Bayesian networks by low-rank models. - Petr Tichavský; Jirí Vomlel (PGM, 2018)

On Irreducible Min-Balanced Set Systems. - Milan Studený; Václav Kratochvíl; Jirí Vomlel (ECSQARU, 2019)

Monotonicity in practice of adaptive testing. - Martin Plajner; Jirí Vomlel (CoRR, 2020)

Learning bipartite Bayesian networks under monotonicity restrictions. - Martin Plajner; Jirí Vomlel (Int. J. Gen. Syst., 2020)

Bayesian Networks for the Test Score Prediction: A Case Study on a Math Graduation Exam. - Martin Plajner; Jirí Vomlel (ECSQARU, 2021)

Learning Noisy-Or Networks with an Application in Linguistics. - Frantisek Kratochvíl; Václav Kratochvíl; Jirí Vomlel (PGM, 2022)

On the rank of 2×2×2 probability tables. - Iván Pérez 006; Jirí Vomlel (PGM, 2022)

On Identifiability of BN2A Networks. - Iván Pérez 006; Jirí Vomlel (ECSQARU, 2023)

Improving Czech Digital Government Based on Quantified Maturity Model of Enterprise Architecture. - Martin Rod; Jirí Vomlel (ICEIS (2), 2023)

Learning the Structure of Bayesian Networks from Incomplete Data using a Mixture Model. - Issam Salman; Jirí Vomlel (Informatica (Slovenia), 2023)

Structural learning of mixed noisy-OR Bayesian networks. - Jirí Vomlel; Václav Kratochvíl; Frantisek Kratochvíl (Int. J. Approx. Reason., 2023)

Enhancing Bayesian Networks with Psychometric Models. - Iván Pérez 006; Jirí Vomlel (PGM, 2024)

Uncovering Relationships using Bayesian Networks: A Case Study on Conspiracy Theories. - Jirí Vomlel; Ales Kubena; Martin Smíd; Josefina Weinerova (PGM, 2024)