- Proceedings of Industrial Conference on Data Mining, ICDM 2009, Leipzig Ordinal Evaluation: A New Perspective on Country
- Technical report, University of Ljubljana (FRI) and University of Ioannina (DCS), 2007 An Efficient Method for Explaining the Decisions
- IEEE Transactions on Knowledge and Data Engineering, 20:589-600, 2008 Explaining Classifications for Individual
- Data Mining and Knowledge Discovery, 14:225-243, 2007 Evaluation of ordinal attributes at value level
- Machine Learning Journal (2003) 53:23-69 Theoretical and Empirical Analysis of ReliefF and RReliefF
- Discretization of continuous attributes using ReliefF Marko Robnik Sikonja
- Speeding up Relief algorithms with kd trees Corrected version (Table 1) of the paper published in Proceedings of the Electrotechnical and Computer Science
- In Lavrac et al.(eds): Machine Learning, Proceedings of ECML 2003, Springer, Berlin, 2003, pp. 325-336
- Pruning regression trees with MDL Marko Robnik
- Comprehensible Interpretation of Relief's Estimates Marko Robnik
- An adaptation of Relief for attribute estimation in regression Marko Robnik
- Evaluation of prognostic factors and prediction of chronic wound healing rate by machine learning tools
- Artificial Intelligence in Medicine 29 (2003) 25-38 Comprehensible evaluation of prognostic
- Comprehensiveness of tree based models: attribute dependencies and split selection
- To appear in Applied Artificial Intelligence, 2008 Learning Random Numbers: A Matlab Anomaly
- Attribute dependencies, understandability and split selection in tree based Marko Robnik
- Prognostic factors, prediction of chronic wound healing and electrical stimulation
- Effective use of memory in linear space best first search Marko Robnik-Sikonja
- ReliefF for estimation and discretization of attributes in classification, regression, and
- In J.F. Boulicaut et al.(eds): Machine Learning, ECML 2004 Proceedings, Springer, Berlin, 2004
- CORE \Lambda a system that predicts continuous variables Marko Robnik
