| Machine learning and data mining I Kononenko, M Kukar Horwood Publishing, 2007 | 573 | 2007 |
| Cost-sensitive learning with neural networks. M Kukar, I Kononenko ECAI 15 (27), 88-94, 1998 | 411 | 1998 |
| AgroDSS: A decision support system for agriculture and farming M Kukar, P Vračar, D Košir, D Pevec, Z Bosnić Computers and Electronics in Agriculture 161, 260-271, 2019 | 221 | 2019 |
| 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 | 187 | 1999 |
| An application of machine learning to haematological diagnosis G Gunčar, M Kukar, M Notar, M Brvar, P Černelč, M Notar, M Notar Scientific reports 8 (1), 411, 2018 | 165 | 2018 |
| Application of machine learning to medical diagnosis I Kononenko, I Bratko, M Kukar Machine learning and data mining: Methods and applications 389, 408, 1997 | 128 | 1997 |
| COVID-19 diagnosis by routine blood tests using machine learning M Kukar, G Gunčar, T Vovko, S Podnar, P Černelč, M Brvar, M Zalaznik, ... Scientific reports 11 (1), 10738, 2021 | 113 | 2021 |
| Reliable classifications with machine learning M Kukar, I Kononenko Machine Learning: ECML 2002: 13th European Conference on Machine Learning …, 2002 | 100 | 2002 |
| Transductive reliability estimation for medical diagnosis M Kukar Artificial Intelligence in Medicine 29 (1-2), 81-106, 2003 | 86 | 2003 |
| Machine learning in prognosis of the femoral neck fracture recovery M Kukar, I Kononenko, T Silvester Artificial intelligence in medicine 8 (5), 431-451, 1996 | 59 | 1996 |
| Integrating data mining and decision support through data mining based decision support system R Rupnik, M Kukar, M Krisper Journal of computer information systems 47 (3), 89-104, 2007 | 53 | 2007 |
| Drifting concepts as hidden factors in clinical studies M Kukar Artificial Intelligence in Medicine: 9th Conference on Artificial …, 2003 | 48 | 2003 |
| Intelligent data analysis for medical diagnosis: using machine learning and temporal abstraction N Lavrač, I Kononenko, E Keravnou, M Kukar, B Zupan AI communications 11 (3-4), 191-218, 1998 | 48 | 1998 |
| Computerized segmentation of whole-body bone scintigrams and its use in automated diagnostics L Šajn, M Kukar, I Kononenko, M Milčinski Computer methods and programs in biomedicine 80 (1), 47-55, 2005 | 47 | 2005 |
| Image processing and machine learning for fully automated probabilistic evaluation of medical images L Šajn, M Kukar Computer methods and programs in biomedicine 104 (3), e75-e86, 2011 | 45 | 2011 |
| Quality assessment of individual classifications in machine learning and data mining M Kukar Knowledge and information systems 9, 364-384, 2006 | 35 | 2006 |
| An application of machine learning in the diagnosis of ischaemic heart disease M Kukar, C Groselj, I Kononenko, JJ Fettich Proceedings of Computer Based Medical Systems, 70-75, 1997 | 31 | 1997 |
| Modern parameterization and explanation techniques in diagnostic decision support system: A case study in diagnostics of coronary artery disease M Kukar, I Kononenko, C Grošelj Artificial intelligence in medicine 52 (2), 77-90, 2011 | 30 | 2011 |
| Evaluation of prediction reliability in regression using the transduction principle Z Bosnic, I Kononenko, M Robnik-ˇSikonja, M Kukar The IEEE Region 8 EUROCON 2003. Computer as a Tool. 2, 99-103, 2003 | 30 | 2003 |
| Machine learning improves the accuracy of coronary artery disease diagnostic methods C Groselj, M Kukar, JJ Fettich, I Kononenko Computers in Cardiology 1997, 57-60, 1997 | 28 | 1997 |
