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Matjaz Kukar: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Matjaz Kukar, Ciril Groselj
    Machine Learning in Stepwise Diagnostic Process. [Citation Graph (0, 0)][DBLP]
    AIMDM, 1999, pp:315-325 [Conf]
  2. Matjaz Kukar
    Making Reliable Diagnoses with Machine Learning: A Case Study. [Citation Graph (0, 0)][DBLP]
    AIME, 2001, pp:88-98 [Conf]
  3. Matjaz Kukar
    Drifting Concepts as Hidden Factors in Clinical Studies. [Citation Graph (0, 0)][DBLP]
    AIME, 2003, pp:355-364 [Conf]
  4. Matjaz Kukar, Ciril Groselj, Igor Kononenko, Jure Fettich
    An Application of Machine Learning in the Diagnosis of Ischaemic Heart Disease. [Citation Graph (0, 0)][DBLP]
    AIME, 1997, pp:461-464 [Conf]
  5. Luka Sajn, Matjaz Kukar, Igor Kononenko, Metka Milcinski
    Automatic Segmentation of Whole-Body Bone Scintigrams as a Preprocessing Step for Computer Assisted Diagnostics. [Citation Graph (0, 0)][DBLP]
    AIME, 2005, pp:363-372 [Conf]
  6. Matjaz Kukar, Ciril Groselj
    Reliable Diagnostics for Coronary Artery Disease. [Citation Graph (0, 0)][DBLP]
    CBMS, 2002, pp:7-12 [Conf]
  7. Matjaz Kukar, Ciril Groselj, Igor Kononenko, Jure Fettich
    An application of machine learning in the diagnosis of ischaemic heart disease. [Citation Graph (0, 0)][DBLP]
    CBMS, 1997, pp:70-75 [Conf]
  8. Matjaz Kukar
    Estimating Confidence Values of Individual Predictions by their Typicalness and Reliability. [Citation Graph (0, 0)][DBLP]
    ECAI, 2004, pp:1045-1046 [Conf]
  9. Matjaz Kukar, Igor Kononenko
    Cost-Sensitive Learning with Neural Networks. [Citation Graph (0, 0)][DBLP]
    ECAI, 1998, pp:445-449 [Conf]
  10. Matjaz Kukar, Igor Kononenko
    Reliable Classifications with Machine Learning. [Citation Graph (0, 0)][DBLP]
    ECML, 2002, pp:219-231 [Conf]
  11. Matjaz Kukar
    Transduction and Typicalness for Quality Assessment of Individual Classifications in Machine Learning and Data Mining. [Citation Graph (0, 0)][DBLP]
    ICDM, 2004, pp:146-153 [Conf]
  12. Nada Lavrac, Blaz Zupan, Igor Kononenko, Matjaz Kukar, Elpida T. Keravnou
    Intelligent Data Analysis for Medical Diagnosis: Using Machine Learning and Temporal Abstraction. [Citation Graph (0, 0)][DBLP]
    AI Commun., 1998, v:11, n:3-4, pp:191-218 [Journal]
  13. Matjaz Kukar
    Transductive reliability estimation for medical diagnosis. [Citation Graph (0, 0)][DBLP]
    Artificial Intelligence in Medicine, 2003, v:29, n:1-2, pp:81-106 [Journal]
  14. Matjaz Kukar
    Erratum to "Transductive reliability estimation for medical diagnosis" [Artif. Intell. Med. 29: 81-106(2003)]. [Citation Graph (0, 0)][DBLP]
    Artificial Intelligence in Medicine, 2004, v:30, n:2, pp:199- [Journal]
  15. Matjaz Kukar, Igor Kononenko, Ciril Groselj, Katarina Kralj, Jure Fettich
    Analysing and improving the diagnosis of ischaemic heart disease with machine learning. [Citation Graph (0, 0)][DBLP]
    Artificial Intelligence in Medicine, 1999, v:16, n:1, pp:25-50 [Journal]
  16. Matjaz Kukar, Igor Kononenko, T. Silvester
    Machine learning in prognosis of the femoral neck fracture recovery. [Citation Graph (0, 0)][DBLP]
    Artificial Intelligence in Medicine, 1996, v:8, n:5, pp:431-451 [Journal]
  17. Matjaz Kukar
    Quality assessment of individual classifications in machine learning and data mining. [Citation Graph (0, 0)][DBLP]
    Knowl. Inf. Syst., 2006, v:9, n:3, pp:364-384 [Journal]
  18. Luka Sajn, Matjaz Kukar, Igor Kononenko, Metka Milcinski
    Computerized segmentation of whole-body bone scintigrams and its use in automated diagnostics. [Citation Graph (0, 0)][DBLP]
    Computer Methods and Programs in Biomedicine, 2005, v:80, n:1, pp:47-55 [Journal]
  19. Matjaz Kukar, Luka Sajn, Ciril Groselj, Jera Groselj
    Multi-resolution Image Parametrization in Stepwise Diagnostics of Coronary Artery Disease. [Citation Graph (0, 0)][DBLP]
    AIME, 2007, pp:119-129 [Conf]
  20. Dimitris Tzikas, Matjaz Kukar, Aristidis Likas
    Transductive Reliability Estimation for Kernel Based Classifiers. [Citation Graph (0, 0)][DBLP]
    IDA, 2007, pp:37-47 [Conf]

  21. Improving Probabilistic Interpretation of Medical Diagnoses with Multi-resolution Image Parameterization: A Case Study. [Citation Graph (, )][DBLP]


  22. Supporting Diagnostics of Coronary Artery Disease with Multi-resolution Image Parameterization and Data Mining. [Citation Graph (, )][DBLP]


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