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Institute of Information Theory and Automation
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Prof. Radim Jiroušek, DrSc.
Position:
senior research fellow
Department:
Research interests:
Probabilistic methods in AI.
Publications ÚTIA:
International grants awarded
- 2018 - 2019: MOST-18-04, The Czech Academy of Sciences, Compositional models for data mining
- 2008 - 2011: ICC/08/E010, EUROCORES - LogiCCC Logic of Causal and Probabilistic Reasoning under Uncertainty
- 2006 ± 2007: AKTION 45p16, Bilateral Austrian-Czech Grant Agency, Conditional Independence Models
- 2004 ± 2005: KONTAKT ± 2004/19, Bilateral Austrian-Czech Grant Agency, Perfect Sequences and their Application to Multidimensional Model Representation
- 1999 ± 2001: ERBIC15CT980315, European Community Grant Agency, Medical Guideline Technology
- 1999 ± 2001: KONTAKT ±1999-24, AKTION Bilateral Austrian-Czech Grant Agency, Psychological and Algorithmic Methods to Construct Bayesian Networks
- 1997 ± 1998: Ministry of Foreign Affairs, Italy, Intelligent Systems - Research and Education
- 1995 ± 1996: AKTION - 7p3, Bilateral Austrian-Czech Grant Agency, Constructing Bayesian Networks from Incomplete Information
- 1994 ± 1996: CEC - CIPA3511CT930053, European Community Grant, Managing Uncertainty in Medicine
- 1991: CEC - CIPA3510CT920480, European Community Grant, Uncertainty Processing in Expert Systems
Supervised PhD thesis
- 2018 Lucie Váchová, Causal Bayesian networks: Modelling an Impact of Interventions in Economic Models;
Faculty of Management, University of Economics, Prague. - 2015 Simona Hašková, Managerial Calculations in Terms of Logic, Analytical Microeconomics and Other Theoretical Disciplines;
Faculty of Management, University of Economics, Prague. - 2012 Václav Kratochvíl, Probabilistic Compositional Models: solution of an equivalence problem.
Faculty of Nuclear Sciences and Physical Engineering, Czech Technical University, Prague - 2011 Vladislav Bína, Multidimensional probabilistic distributions: Structure and learning.
Faculty of Management, University of Economics, Prague. - 2010 Jiří Přibil, Efektivní metody detekce plagiátů v rozsáhlých dokumentových skladech.
Faculty of Management, University of Economics, Prague. - 2009 Tomáš Kincl, Uživatelská spokojenost s webem: asymetrické vnímání atributů kvality webu.
Faculty of Management, University of Economics, Prague. - 2005 Tomáš Kroupa, States and Conditional Probability on MV-algebras.
Faculty of Electrical Engineering, Czech Technical University, Prague - 2001 Tomáš Kočka Graphical Models: learning and applications;
Faculty of Informatics and Statistics, University of Economics, Prague. - 2001 Marta Vomlelová-Sochorová Decision-theoretic troubleshooting;
Faculty of Informatics and Statistics, University of Economics, Prague. - 2000 Jan Klaschka Mathematical methods for change of state evaluation in medical research (in Czech);
Mathematical-Physical Faculty, Charles University, Prague. - 2000 Jiří Vomlel Methods of probabilistic knowledge integration;
Faculty of Electrical Engineering, Czech Technical University, Prague - 1990 Jiřina Vejnarová Expertní znalosti a pravděpodobnostní rozhodování; Institute of Information Theory and Automation, Czechoslovak Academy of Sciences.
Current students
- Ing. Radek Švadlenka
Person detail
Duration: 2018
- 2019
The goal of the project is to establish the research cooperation between the mutually complementary Taiwan and Czech research teams. The research is oriented to the development and verification of a new data mining technique based on probabilistic compositional models, the theory of which was developed by the Czech partner in the last decade.
Duration: 2008
- 2011
V posledních desetiletích se psychologie a umělá inteligence vzájemně přiblížily nejenom tím, že se umělá inteligence inspiruje výsledky psychologických výzkumů, ale též používáním stejných nástrojů pro vytváření komplexních modelů.
Duration: 2003
- 2007
Projekt řeší problémy aplikací mnohorozměrných pravděpodobnostních modelů ve vybraných technických oborech, především v oblasti rozpoznávání obrazů a modelování obrazové informace. Vzhledem k tomu, že tyto modely v plné obecnosti budou vždy přesahovat možnosti počítačového zpracování, výzkum se zaměří na speciální třídu aproximujících distribucí, kterou nazýváme komponentové modely.
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