Estimating attributes: Analysis and extensions of RELIEF I Kononenko European conference on machine learning, 171-182, 1994 | 4277 | 1994 |
Theoretical and empirical analysis of ReliefF and RReliefF M Robnik-Šikonja, I Kononenko Machine learning 53, 23-69, 2003 | 3810 | 2003 |
Machine learning for medical diagnosis: history, state of the art and perspective I Kononenko Artificial Intelligence in medicine 23 (1), 89-109, 2001 | 2267 | 2001 |
Explaining prediction models and individual predictions with feature contributions E Štrumbelj, I Kononenko Knowledge and information systems 41, 647-665, 2014 | 1997 | 2014 |
Overcoming the myopia of inductive learning algorithms with RELIEFF I Kononenko, E Šimec, M Robnik-Šikonja Applied Intelligence 7, 39-55, 1997 | 1019 | 1997 |
An efficient explanation of individual classifications using game theory E Strumbelj, I Kononenko The Journal of Machine Learning Research 11, 1-18, 2010 | 882 | 2010 |
An adaptation of Relief for attribute estimation in regression M Robnik-Šikonja, I Kononenko Machine learning: Proceedings of the fourteenth international conference …, 1997 | 797 | 1997 |
Assistant 86: A knowledge-elicitation tool for sophisticated users B Cestnik, I Kononenko, I Bratko Proceedings of the 2nd European conference on European working session on …, 1987 | 765 | 1987 |
The MONK's Problems: A Performance Comparison of Different Learning Algorithems S Thrun Technical Report of Carnegie Mellon University, 1991 | 665 | 1991 |
Machine learning and data mining I Kononenko, M Kukar Horwood Publishing, 2007 | 623 | 2007 |
Semi-naive Bayesian classifier I Kononenko Machine Learning—EWSL-91: European Working Session on Learning Porto …, 1991 | 554 | 1991 |
Inductive and Bayesian learning in medical diagnosis I Kononenko Applied Artificial Intelligence an International Journal 7 (4), 317-337, 1993 | 479 | 1993 |
On biases in estimating multi-valued attributes I Kononenko Ijcai 95, 1034-1040, 1995 | 466 | 1995 |
Cost-sensitive learning with neural networks. M Kukar, I Kononenko ECAI 15 (27), 88-94, 1998 | 446 | 1998 |
Explaining classifications for individual instances M Robnik-Šikonja, I Kononenko IEEE Transactions on Knowledge and Data Engineering 20 (5), 589-600, 2008 | 407 | 2008 |
Information-based evaluation criterion for classifier's performance I Kononenko, I Bratko Machine learning 6, 67-80, 1991 | 342 | 1991 |
Experiments in automatic learning of medical diagnostic rules I Kononenko Technical report, Jozef Stefan Institute, 1984 | 293 | 1984 |
Comparison of inductive and naive Bayesian learning approaches to automatic knowledge acquisition I Kononenko Current trends in knowledge acquisition 8, 190, 1990 | 205 | 1990 |
Analysing and improving the diagnosis of ischaemic heart disease with machine learning M Kukar, I Kononenko, C Grošelj, K Kralj, J Fettich Artificial intelligence in medicine 16 (1), 25-50, 1999 | 197 | 1999 |
Bayesian neural networks I Kononenko Biological Cybernetics 61 (5), 361-370, 1989 | 171 | 1989 |