Marko Robnik-Šikonja, PhD
Associate Professor

My research interests include machine learning, data mining, intelligent data analysis, cognitive modeling, artificial intelligence, and their applications. In machine learning and data mining I am interested in ensemble learning, feature evaluation, probability prediction, cost-sensitive learning, feature subset selection, regression, natural language processing, and constructive induction (recent papers, free software). I am (co)author of approximately 50 publications. My papers have more than 2000 citations according to Scholar.

More about me is on my personal web site. I tweet as @MarkoRobnikS.

Office Hours:
Thursdays, 12:00 - 13:00, or send me an email for a different arrangement. My office is in the UL FRI main buiilding (Večna pot 113) on the 2nd floor, right from the elevator, room no. R2.06.
Teacher ID: 000533


I received my Ph.D. in Computer Science and Informatics from University of Ljubljana, Faculty of Computer and Information Sciences in 2001 (I graduated in 1993 and finished my M.Sc. in 1997 at the same institution).


Current Projects

Closed Projects

Selected publications

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: Improving Random Forests. In J.-F. Boulicaut et al.(Eds): ECML 2004, LNAI 3210, Springer, Berlin, 2004, pp. 359-370. PDF

Marko Robnik-Šikonja, Igor Kononenko: Theoretical and Empirical Analysis of ReliefF and RReliefF. Machine Learning Journal, 53:23-69, 2003. PDF

Marko Robnik-Šikonja, David Cukjati, Igor Kononenko: Comprehensible evaluation of prognostic factors and prediction of wound healing. Artificial Intelligence in Medicine, 29: 25-38, 2003.  PDF

Marko Robnik-Šikonja: Experiments with Cost-sensitive Feature Evaluation. In Lavrac et al.(eds): Machine Learning, Proceedings of ECML 2003, Springer, Berlin, 2003, pp. 325-336.  PDF

Igor Kononenko, Edvard Šimec, Marko Robnik-Šikonja: Overcoming the myopia of inductive learning algorithms with ReliefF. Applied Intelligence, 7:39-55 1997. postscript 

Marko Robnik-Šikonja

Marko Robnik-Šikonja, PhD
Associate Professor

T: +386 1 479 8241
F: +386 1 4264 647