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Ciril Groselj
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2010 – 2019
- 2011
- [j2]Matjaz Kukar, Igor Kononenko, Ciril Groselj:
Modern parameterization and explanation techniques in diagnostic decision support system: A case study in diagnostics of coronary artery disease. Artif. Intell. Medicine 52(2): 77-90 (2011) - [c9]Matjaz Kukar, Ciril Groselj:
Supporting Diagnostics of Coronary Artery Disease with Neural Networks. ICANNGA (1) 2011: 80-89
2000 – 2009
- 2007
- [c8]Matjaz Kukar, Luka Sajn, Ciril Groselj, Jera Groselj:
Multi-resolution Image Parametrization in Stepwise Diagnostics of Coronary Artery Disease. AIME 2007: 119-129 - 2002
- [c7]Matjaz Kukar, Ciril Groselj:
Reliable Diagnostics for Coronary Artery Disease. CBMS 2002: 7-12 - [c6]Ciril Groselj:
Data Mining Problems in Medicine. CBMS 2002: 377-
1990 – 1999
- 1999
- [j1]Matjaz Kukar, Igor Kononenko, Ciril Groselj, Katarina Kralj, Jure Fettich:
Analysing and improving the diagnosis of ischaemic heart disease with machine learning. Artif. Intell. Medicine 16(1): 25-50 (1999) - [c5]Matjaz Kukar, Ciril Groselj:
Machine Learning in Stepwise Diagnostic Process. AIMDM 1999: 315-325 - [c4]Dragan Gamberger, Nada Lavrac, Ciril Groselj:
Diagnostic Rules of Increased Reliability for Critical Medical Applications. AIMDM 1999: 361-365 - [c3]Dragan Gamberger, Nada Lavrac, Ciril Groselj:
Experiments with Noise Filtering in a Medical Domain. ICML 1999: 143-151 - 1997
- [c2]Matjaz Kukar, Ciril Groselj, Igor Kononenko, Jure Fettich:
An Application of Machine Learning in the Diagnosis of Ischaemic Heart Disease. AIME 1997: 461-464 - [c1]Matjaz Kukar, Ciril Groselj, Igor Kononenko, Jure Fettich:
An application of machine learning in the diagnosis of ischaemic heart disease. CBMS 1997: 70-75
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