Matjaž Kukar
Matjaž Kukar
Faculty of Computer and Information Science, University of Ljubljana, Slovenia
Verified email at - Homepage
Cited by
Cited by
Machine learning and data mining
I Kononenko, M Kukar
Horwood Publishing, 2007
Cost-sensitive learning with neural networks.
M Kukar, I Kononenko
ECAI 15 (27), 88-94, 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
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
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
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
Application of machine learning to medical diagnosis
I Kononenko, I Bratko, M Kukar
Machine learning and data mining: Methods and applications 389, 408, 1997
Reliable classifications with machine learning
M Kukar, I Kononenko
Machine Learning: ECML 2002: 13th European Conference on Machine Learning …, 2002
Transductive reliability estimation for medical diagnosis
M Kukar
Artificial Intelligence in Medicine 29 (1-2), 81-106, 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
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
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
Drifting concepts as hidden factors in clinical studies
M Kukar
Artificial Intelligence in Medicine: 9th Conference on Artificial …, 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
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
A machine learning-based risk stratification model for ventricular tachycardia and heart failure in hypertrophic cardiomyopathy
T Smole, B Žunkovič, M Pičulin, E Kokalj, M Robnik-Šikonja, M Kukar, ...
Computers in biology and medicine 135, 104648, 2021
Quality assessment of individual classifications in machine learning and data mining
M Kukar
Knowledge and information systems 9, 364-384, 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
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
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
The system can't perform the operation now. Try again later.
Articles 1–20