Řízení rychlosti vozu Formule 1 pomocí rozhodovacího diagramu. Prezentace na MFF UK v rámci předmětu Matematické problémy nematematiků. Video of Sebastian Vettel at GP in Silverstone.
 Probabilistic Inference in BN2T Models by Weighted Model Counting. Presentation at the 12th Scandinavian AI conference held at the Aalborg University, Aalborg, Denmark.
 Probabilistic graphical models: current research activities. Presentation at PhD symposium at SCAI, Aalborg, Denmark, November 2013.
 Computationally efficient probabilistic inference with noisy threshold models based on a CP tensor decomposition. Presentation at the Sixth European Workshop on Probabilistic Graphical Models (PGM 2012), Granada, Spain.
 Machine Learning Methods for Mortality Prediction in Patients with ST Elevation Myocardial Infarction. Presentation at the Nineth Workshop on Uncertainty Processing WUPES'12, Mariánské Lázně, Czech Republic.
 Rank of tensors of l-out-of-k functions: an application in probabilistic inference. Presentation at the DAR conference at Marianska, Jachymov, Czech Republic.
 Predikce hospitalizační mortality u akutního infarktu myokardu. Prezentace na konferenci MEDSOFT 2011, Roztoky u Prahy.
 Causal Semantics of Bayesian Networks. Presentation at Probnet 2010 workshop in Salzburg.
 Jádro koaliční hry - algoritmy. Prezentace na semináři skupiny IS ČSKI a projektu DAR v ÚTIA.
 Arithmetic Circuits of the Noisy-Or Models. Presentation at the Fourth European Workshop on Probabilistic Graphical Models (PGM'08), Hirtshals, Denmark, September 17-19, 2008.
 Tensor rank-one decomposition of noisy-or models. Presentation at Alsovice seminar, held in Rakvice, Czech Republic, June, 2008.
 Using imsets for learning Bayesian networks. Presentation at the Tenth Czech-Japan Seminar on Data Analysis and Decision Making under Uncertainty, Liblice, Czech Republic, September, 2007.
 An evaluation of string similarity measures on pricelists of computer components. Presentation at the Tenth Czech-Japan Seminar on Data Analysis and Decision Making under Uncertainty, Liblice, Czech Republic, September, 2007.
 Tensor rank-one decomposition of probability tables. Presentation at the 11th IPMU conference in Paris.
 A variational method for the Rasch model. Presentation at the Czech-Austrian workshop PROBNET 2005.
 What are imsets and what they are good for. Presentation at VRSR 2005 seminar in Ricky v Orlickych horach.
 Metody pro zpracovani strukturovaneho textu: porovnavani ceniku. Prednaska na 2. konferenci vyzkumneho centra DAR.
 Bayesian networks in educational testing. My presentation at Nijmeegs instituut voor informatica en informatiekunde colloquium, Radboud University Nijmegen, Netherlands.
 Bayesian networks in educational testing. My presentation at the research seminar Quantitative Methods at the Department of Psychology, Catholic University Leuven.
 Klasifikace metodou logisticke regrese. Prednaska v ramci predmetu Strojove uceni na MFF UK.
 Applikace bayesovskych siti. Prednaska na seminari kvantitativni metodologie na FTVS UK.
 Some applications of Bayesian networks. My presentation at a seminar of the Czech Society for Cybernetics and Informatics (CSKI).
 Integrating inconsistent data in a probabilistic model. My presentation at Salzburg 2004 workshop.
 Probabilistic reasoning with uncertain evidence, My presentation for Working Group on Theoretical Robotics of the Czech Society for Cybernetics and Informatics (CSKI).
 Implementation of Imsets in the R language (a short presentation after Milan Studeny's talk at PGM'04).
 Bayesian networks in Mastermind, my presentation at the 7th Czech-Japan Seminar, Awaji Island, Japan.
 Thoughts on belief and model revision with uncertain evidence, my presentation at conference Znalosti 2004.
 Noisy-or classifier, my presentation at WUPES 2003.
 Integrating inconsistent data in a probabilistic model, my presentation at an affiliate workshop to ECSQARU 2003 "Uncertainty, Incompleteness, Imprecision and Conflict in Multiple Data Sources".
 Two applications of Bayesian networks, My presentation for Working Group on Theoretical Robotics of the Czech Society for Cybernetics and Informatics (CSKI). My presentation for students from Nederlands in UTIA in April 2003. My presentation at conference Znalosti 2003 held in February 2003 in Ostrava, Czech Republic.
 Visualizing and Exploring Data (my presentation within Aalborg BSS data mining tutorial series).
 Efficient Propagation for Computerized Adaptive Testing (my presentation within the Aalborg BSS seminar series).
 Troubleshooting with Simultaneous Models, Symbolic and Quantitative Approaches to Reasoning with Uncertainty 6th European Conference, ECSQARU 2001, Toulouse, France, September 19-21.
 Game Networks (my presentation within Aalborg BSS seminar series) based mainly on the UAI'2000 paper "Game Networks by Piero La Mura".
 Markov Games (my presentation within the series of BSS workshops on E-services) based on papers Michael L. Littman: Markov Games as a framework for multiagent reinforcement learning, Proceedings of ICML'94, pages 157-163 and Junling Hu and Michael P. Wellman: Multiagent Reinforcement Learning: Theoretical Framework and an Algorithm, Proceedings of ICML'98, pages 242-250
 Methods of Probabilistic Knowledge Integration (overheads from the defence of my PhD Thesis).
 Troubleshooting: NP-hardness and solution methods, The Fifth Workshop on Uncertainty Processing WUPES'2000, Jindrichuv Hradec, Czech Republic, 20-24th June 2000.
 Iterative Knowledge Integration, overheads from my lecture within LISp seminar