The SCEAS System
Navigation Menu

Search the dblp DataBase

Title:
Author:

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]


Search in 0.002secs, Finished in 0.003secs
NOTICE1
System may not be available sometimes or not working properly, since it is still in development with continuous upgrades
NOTICE2
The rankings that are presented on this page should NOT be considered as formal since the citation info is incomplete in DBLP
 
System created by asidirop@csd.auth.gr [http://users.auth.gr/~asidirop/] © 2002
for Data Engineering Laboratory, Department of Informatics, Aristotle University © 2002