University of Economics

Tomáš Kliegr, Ph.D. is an associate professor in the Faculty of Informatics and Statistics of the Prague University of Economics and Business, where he works in the Data Mining and Knowledge Discovery group.

University homepage | Office hours | Bio |Selected publications | ResearchGate | Google Scholar profile | email: tomas(dot)kliegr(at)vse(dot)cz

Teaching (Winter 2021/2020)

RuleML Webinars

I organize monthly RuleML Webinars. (https://wiki.ruleml.org/index.php/RuleML_Webinar).

Selected past webinars:

2021-10-27. Johannes Fürnkranz. Deep Rule Learning.

2021-05-26. Jan Vanthienen. Extracting decision models from data and text.

2021-04-28. Paolo Papotti (Eurecom). Explainable Fact Checking for Statistical and Property Claims. See https://coronacheck.eurecom.fr/.

2020-11-25 Davide Sottara (Mayo Clinic). From SME to Screen - A Knowledge Architecture for Clinical Cognitive Support


  • August 24, August 26. I will present our work on review cognitive biases in machine learning at the International Joint Conference on Artificial Intelligence (IJCAI-21)

  • August, 2021. I will serve as a program committee member of the Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI'22)

  • 17 June 2021. Our paper on rule mining from graphs appears in an issue of the Semantic Web Journal.

Václav Zeman, Tomáš Kliegr and Vojtěch Svátek. RDFRules: Making RDF Rule Mining Easier and Even More Efficient. Semantic Web, vol. 12, no. 4, pp. 569-602, 2021 http://www.semantic-web-journal.net/system/files/swj2398.pdf