In my free time I sometimes write a literature and poetry, for example the book for young adults Zeleni gral (Green gral). I plan to have it translated into English.
Teacher ID: 000533
Education
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).
Projects
Current Projects
- Artificial intelligence and inteligent systems, Research Programme, P2-0209, 2009−2014
- Artificial intelligence and intelligent systems, Research Programme, P2-0209, 2004−2014
Closed Projects
- Machine Learning of Imbalanced Data, Bilateral Collaboration Project, BI-CZ/10-11-008, 2010−2011
- Integration of data mining and high-performance computer modeling for coronary artery disease, Bilateral Collaboration Project, BI-SR/10-11-020, 2010−2011
- Electricity load forecasting supported by prediction explanation and prediction reliability estimates, Bilateral Collaboration Project, Bilateral Collaboration Project, BI-PT/10-11-007, 2010−2011
- Machine Learning of Probabilities with Applications to Web Portals and Medical Diagnostics, Bilateral Collaboration Project, BI-PT/06-07-004, 2006−2008
- Reliable and Comprehensible Machine Learning Approaches with Applications to Medical Diagnostics and Bioinformatics Bilateral, Bilateral Collaboration Project, 2005−2007
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
