Prof. dr. Marko Robnik Šikonja
Full Professor
T: +386 1 479 8241
E:Send a message
Office hours: Wednesday, from 11:00 do 12:00 (2nd floor, right from the elevator), or contact me via email.
Room: R2.06 - Kabinet

My research interests include artificial intelligence, machine learning, data mining, natural language processing, and network analytics. In machine learning and data mining I am interested in deep neural networks, feature evaluation, explanation of prediction models, ensemble learning, and embeddings (recent papersfree software). I am (co)author of more than 150 publications, both scientific and literary. My papers have more than 5000 citations according to Google Scholar.
I tweet as @MarkoRobnikS.

  • ECML/PKDD 2019 Journal Track Reviewer Award
  • The most outstanding research achievement of University of Ljubljana in 2018: Thesaurus of Modern Slovene: responsive dictionary (coauthor)
  • The golden medal for outstanding merits in the development of scientific, educational or artistic creation and to enhance the reputation of the University of Ljubljana (2015)


Past projects
  • Kristian Miok, Blaž Škrlj, Daniela Zaharie, Marko Robnik-Šikonja. To BAN or not to BAN: Bayesian Attention Networks for reliable hate speech detection. Cognitive Computation 2021. DOI
  • Matej Martinc, Senja Pollak, Marko Robnik-Šikonja. Supervised and unsupervised neural approaches to text readability. Computational linguistics. 47 (1): 141–179, 2021, DOI
  • Nada Lavrač, Blaž Škrlj, Marko Robnik-Šikonja. Propositionalization and embeddings: two sides of the same coin. Machine learning. 2020, 109(7):1465-1507. DOI
  • Jan Kralj, Marko Robnik-Šikonja, Nada Lavrač. NetSDM: semantic data mining with network analysis. Journal of machine learning research, 2019, vol. 20, pp. 1-50 PDF
  • Janez Kranjc, Roman Orač, Vid Podpečan, Nada Lavrač, Marko Robnik-Šikonja. ClowdFlows: online workflows for distributed big data mining. FGCS, 2017, vol. 68, pp. 38-58 PDF
  • Marko Bohanec, Mirjana Kljajić Borštnar, Marko Robnik-Šikonja. Explaining machine learning models in sales predictions. Expert systems with applications, 2017, vol. 71, pp. 416-428 PDF
  • Marko Robnik-Šikonja. Data generators for learning systems based on RBF networks. IEEE transactions on neural networks and learning systems, May 2016, vol. 27, no. 5, pp. 926-938 PDF
  • Marko Robnik-Šikonja, Igor Kononenko: Explaining Classifications For Individual Instances. IEEE Transactions on Knowledge and Data Engineering, 20: 589-600, 2008 PDF
  • Marko Robnik-Šikonja, Koen Vanhoof: Evaluation of ordinal attributes at value level. Knowledge Discovery and Data Mining, 14:225-243, 2007 PDF
  • Marko Robnik-Šikonja, Igor Kononenko: Theoretical and Empirical Analysis of ReliefF and RReliefF. Machine Learning Journal, 53:23-69, 2003. PDF