| 2025 | BIBE | Meta-Imputation Balanced (MIB): An Ensemble Approach for Handling Missing Data in Biomedical Machine Learning. | Fatemeh Azad, Zoran Bosnic, Matjaz Kukar |
| 2014 | CaiSE | Automatization of the Stream Mining Process. | Lovro Subelj, Zoran Bosnic, Matjaz Kukar, Marko Bajec |
| 2010 | ICDM | Separation of Interleaved Web Sessions with Heuristic Search. | Marko Pozenel, Viljan Mahnic, Matjaz Kukar |
| 2009 | AIME | Improving Probabilistic Interpretation of Medical Diagnoses with Multi-resolution Image Parameterization: A Case Study. | Matjaz Kukar, Luka Sajn |
| 2007 | AIME | Multi-resolution Image Parametrization in Stepwise Diagnostics of Coronary Artery Disease. | Matjaz Kukar, Luka Sajn, Ciril Groselj, Jera Groselj |
| 2007 | IDA | Transductive Reliability Estimation for Kernel Based Classifiers. | Dimitris Tzikas, Matjaz Kukar, Aristidis Likas |
| 2005 | AIME | Automatic Segmentation of Whole-Body Bone Scintigrams as a Preprocessing Step for Computer Assisted Diagnostics. | Luka Sajn, Matjaz Kukar, Igor Kononenko, Metka Milcinski |
| 2004 | ECAI | Estimating Confidence Values of Individual Predictions by their Typicalness and Reliability. | Matjaz Kukar |
| 2004 | ICDM | Transduction and Typicalness for Quality Assessment of Individual Classifications in Machine Learning and Data Mining. | Matjaz Kukar |
| 2003 | AIME | Drifting Concepts as Hidden Factors in Clinical Studies. | Matjaz Kukar |
| 2002 | CBMS | Reliable Diagnostics for Coronary Artery Disease. | Matjaz Kukar, Ciril Groselj |
| 2001 | AIME | Making Reliable Diagnoses with Machine Learning: A Case Study. | Matjaz Kukar |
| 1998 | ECAI | Cost-Sensitive Learning with Neural Networks. | Matjaz Kukar, Igor Kononenko |
| 1997 | AIME | An Application of Machine Learning in the Diagnosis of Ischaemic Heart Disease. | Matjaz Kukar, Ciril Groselj, Igor Kononenko, Jure Fettich |
| 1997 | CBMS | An application of machine learning in the diagnosis of ischaemic heart disease. | Matjaz Kukar, Ciril Groselj, Igor Kononenko, Jure Fettich |