| 2009 |
|---|
| 21 | EE | Matjaz Kukar,
Luka Sajn:
Supporting Diagnostics of Coronary Artery Disease with Multi-resolution Image Parameterization and Data Mining.
MIRAGE 2009: 356-367 |
| 2007 |
|---|
| 20 | EE | Matjaz Kukar,
Luka Sajn,
Ciril Groselj,
Jera Groselj:
Multi-resolution Image Parametrization in Stepwise Diagnostics of Coronary Artery Disease.
AIME 2007: 119-129 |
| 19 | EE | Dimitris Tzikas,
Matjaz Kukar,
Aristidis Likas:
Transductive Reliability Estimation for Kernel Based Classifiers.
IDA 2007: 37-47 |
| 2006 |
|---|
| 18 | EE | Matjaz Kukar:
Quality assessment of individual classifications in machine learning and data mining.
Knowl. Inf. Syst. 9(3): 364-384 (2006) |
| 2005 |
|---|
| 17 | EE | Luka Sajn,
Matjaz Kukar,
Igor Kononenko,
Metka Milcinski:
Automatic Segmentation of Whole-Body Bone Scintigrams as a Preprocessing Step for Computer Assisted Diagnostics.
AIME 2005: 363-372 |
| 16 | EE | Luka Sajn,
Matjaz Kukar,
Igor Kononenko,
Metka Milcinski:
Computerized segmentation of whole-body bone scintigrams and its use in automated diagnostics.
Computer Methods and Programs in Biomedicine 80(1): 47-55 (2005) |
| 2004 |
|---|
| 15 | | Matjaz Kukar:
Estimating Confidence Values of Individual Predictions by their Typicalness and Reliability.
ECAI 2004: 1045-1046 |
| 14 | EE | Matjaz Kukar:
Transduction and Typicalness for Quality Assessment of Individual Classifications in Machine Learning and Data Mining.
ICDM 2004: 146-153 |
| 13 | EE | Matjaz Kukar:
Erratum to "Transductive reliability estimation for medical diagnosis" [Artif. Intell. Med. 29: 81-106(2003)].
Artificial Intelligence in Medicine 30(2): 199 (2004) |
| 2003 |
|---|
| 12 | EE | Matjaz Kukar:
Drifting Concepts as Hidden Factors in Clinical Studies.
AIME 2003: 355-364 |
| 11 | EE | Matjaz Kukar:
Transductive reliability estimation for medical diagnosis.
Artificial Intelligence in Medicine 29(1-2): 81-106 (2003) |
| 2002 |
|---|
| 10 | EE | Matjaz Kukar,
Ciril Groselj:
Reliable Diagnostics for Coronary Artery Disease.
CBMS 2002: 7-12 |
| 9 | EE | Matjaz Kukar,
Igor Kononenko:
Reliable Classifications with Machine Learning.
ECML 2002: 219-231 |
| 2001 |
|---|
| 8 | EE | Matjaz Kukar:
Making Reliable Diagnoses with Machine Learning: A Case Study.
AIME 2001: 88-98 |
| 1999 |
|---|
| 7 | EE | Matjaz Kukar,
Ciril Groselj:
Machine Learning in Stepwise Diagnostic Process.
AIMDM 1999: 315-325 |
| 6 | | Matjaz Kukar,
Igor Kononenko,
Ciril Groselj,
Katarina Kralj,
Jure Fettich:
Analysing and improving the diagnosis of ischaemic heart disease with machine learning.
Artificial Intelligence in Medicine 16(1): 25-50 (1999) |
| 1998 |
|---|
| 5 | | Matjaz Kukar,
Igor Kononenko:
Cost-Sensitive Learning with Neural Networks.
ECAI 1998: 445-449 |
| 4 | | Nada Lavrac,
Blaz Zupan,
Igor Kononenko,
Matjaz Kukar,
Elpida T. Keravnou:
Intelligent Data Analysis for Medical Diagnosis: Using Machine Learning and Temporal Abstraction.
AI Commun. 11(3-4): 191-218 (1998) |
| 1997 |
|---|
| 3 | | Matjaz Kukar,
Ciril Groselj,
Igor Kononenko,
Jure Fettich:
An Application of Machine Learning in the Diagnosis of Ischaemic Heart Disease.
AIME 1997: 461-464 |
| 2 | EE | Matjaz Kukar,
Ciril Groselj,
Igor Kononenko,
Jure Fettich:
An application of machine learning in the diagnosis of ischaemic heart disease.
CBMS 1997: 70-75 |
| 1996 |
|---|
| 1 | | Matjaz Kukar,
Igor Kononenko,
T. Silvester:
Machine learning in prognosis of the femoral neck fracture recovery.
Artificial Intelligence in Medicine 8(5): 431-451 (1996) |
