Biography

I was born in Ljubljana, Slovenia. I received B.Sc. in computer science in 1993 from the Faculty of Electrical Engineering and Computer Science, University of Ljubljana. Since then I have been with Artificial Intelligence Laboratory and Cognitive Modelling Laboratory as a research/teaching assistant. I received a Masters' degree (M.Sc. thesis) in Computer Science in 1996, and a doctoral (Ph.D.) degree (Ph.D. thesis) in Computer Science in 2001 from the Faculty of Computer and Information Science, University of Ljubljana.

Research areas

My field of research concerns mostly artificial intelligence, especially the subfield of machine learning.

  • Machine Learning in general.
  • Data Mining and Intelligent Data Analysis.
  • Applications in medicine.
  • ROC analysis.
  • Cost-sensitive learning.
  • Combinations of classifiers.
  • Reliability estimation.

Bibliography
Here are most of my published papers, ordered by the year of publication:

    1994

  • M. Kukar. 
    Multistrategy attribute learning. In Proc. 3rd electrotechnical and computer science conference ERK'94, pages 131-135, Portoroz, Slovenia, 1994. In Slovene.
  • 1995

  • M. Kukar, I. Kononenko, and T. Silvester. 
    Prognosing the femoral neck fracture recovery with machine learning. In Proc. 17th International Conference on Information Technology Interfaces ITI'95, pages 103-109, Pula, Croatia, 1995.
  • M. Kukar.
    Machine learning in blood group determination of Danish Jersey cattle. In Proc. Workshop od Computer Aided Data Analysis in Medicine and Pharmacology, pages 180-194, Bled, Slovenia, 1995.
  • I. Kononenko and M. Kukar. 
    Machine learning for medical diagnosis. In Proc. Workshop od Computer Aided Data Analysis in Medicine and Pharmacology, pages 9-31, Bled, Slovenia, 1995.
  • 1996

  • N. Besic, M. Kukar, M. Auersperg, M. Us-Krasovec, and I. Kononenko. 
    Prediction of survival in patients with anaplastic thyroid carcinoma by machine learning algorithms. Journal of Surgical Oncology , Extended abstract, 1996.
  • M. Ciglaric, M. Kukar, S. Ciglaric, and N. Hoic-Bozic. 
    Multimedia market in Slovenia and Croatia. In Proc. MIPRO'96, Opatija, Croatia, 1996.
  • M. Kukar, N. Besic, I. Kononenko, M. Auersperg, and M. Robnik-Sikonja. 
    Prognosing the survival time of the patients with the anaplastic thyroid carcinoma with machine learning. In Proc. IDAMAP workshop ECML'96, 1996.
  • M. Kukar, I. Kononenko, and T. Silvester. 
    Machine learning in prognosis of the femoral neck fracture recovery. Artificial Intelligence in Medicine, 8:431-451, 1996.
  • S. Tomazic, M. Ciglaric, M. Kukar, S. Ciglaric, and T. Vidmar. 
    Multimedia market in Slovenia. InterDiMe - The World-Wide Multimedia Resource, 1996.
  • B. Ster, M. Kukar, A. Dobnikar, I. Kranjec, and I. Kononenko. 
    Experiments with machine learning in the prediction of coronary artery disease progression. In Proc. IDAMAP workshop ECML'96, 1996.
  • M. Kukar. 
    Strojno ucenje v medicinski diagnostiki - Machine Learning in medical diagnosis (Compressed). Master's thesis, University of Ljubljana, Faculty of Computer and Information Science, Ljubljana, Trzaska 25, 1996. In Slovene.
  • 1997

  • C. Groselj, M. Kukar, J. Fettich, and I. Kononenko. 
    Impact of machine learning to the diagnostic certainty of the patient's group with low coronary artery disease probability. In Proc. Computer-Aided Data Analysis in Medicine, pages 68-74, Bled, Slovenia, 1997.
  • C. Groselj, M. Kukar, J. Fettich, and I. Kononenko. 
    Machine learning improves the accuracy of coronary artery disease diagnostic methods. In Proc. Computers in Cardiology, Lund, Sweden, 1997. vol. 24, pages 57-60.
  • I. Kononenko, I. Bratko, and M. Kukar.

  • Application of machine learning to medical diagnosis. In R. S. Michalski, I. Bratko, and M. Kubat, editors, Machine Learning and Data Mining: Methods and Applications. John Wiley & Sons Ltd, 1997.
  • M. Kukar. 
    Cost-sensitive learning in medical diagnostics. In Proc. Computer-Aided Data Analysis in Medicine, pages 87-98, Bled, Slovenia, 1997. In Slovene.
  • M. Kukar, N. Besic, I. Kononenko, M. Auersperg, and M. Robnik-Sikonja. 
    Prognosing the survival time of the patients with anaplastic thyroid carcinoma using machine learning. In N. Lavrac, E. Keravnou, and B. Zupan, editors, Intelligent Data Analysis in Medicine and Pharmacology, pages 116-129, Boston/Dordrecht/London, 1997. Kluwer Academic Publishers.
  • M. Kukar, C. Groselj, I. Kononenko, and J. Fettich. 
    An application of machine learning in the diagnosis of ischaemic heart disease. In Proc. Sixth European Conference of AI in Medicine Europe (AIME 97), Grenoble, France, 1997.
  • M. Kukar and S. Kukar. 
    Analiza razpolozljivih podatkov o razvitosti in razvojnih moznostih novih obcin v Sloveniji. V Strategija politike in ukrepi za oblikovanje in izvajanje skladnejsega regionalnega razvoja Slovenije, pages 73-94, Ljubljana, 1997. Urbanisticni institut Republike Slovenije. Zakljucno porocilo.
  • B. Ster, M. Kukar, A. Dobnikar, I. Kranjec, and I. Kononenko. 
    Experiments with machine learning in the prediction of coronary artery disease progression. In N. Lavrac, E. Keravnou, and B. Zupan, editors, Intelligent Data Analysis in Medicine and Pharmacology, pages 167-185, Boston/Dordrecht/London, 1997. Kluwer Academic Publishers.
  • M. Kukar, C. Groselj, I. Kononenko, and J. Fettich. 
    Diagnosing the ischaemic heart disease with machine learning. In Proc. Tenth IEEE Symposium on Computer-based Medical Systems, pages 70-75, Maribor, Slovenia,1997 (best paper award).
  • 1998

  • LAVRAČ, Nada, KONONENKO, Igor, KERAVNOU, Elpida, KUKAR, Matjaz, ZUPAN, Blaz. Intelligent data analysis for medical diagnosis : using machine learning and temporal abstraction. AI commun., 1998, vol. 11, 191-218.
  • KUKAR, Matjaz, GROSELJ, Ciril. Cost sensitive learning for estimation of pretest probalities and improvement of posttest probalities in the diagnosis of ischaemic heart disease. Inform. med. slov. (Print ed.), 1998, vol. 5(1-2), 77-82. In Slovene.
  • KRALJ, Katarina, KUKAR, Matjaz. Using machine learning to analyse attributes in the diagnosis of coronary artery disease. In The 13th Biennial European Conference on Artificial Intelligence, ECAI-98, August 23-28, 1998, Brighton, UK. Intelligent data analysis in medicine and pharmacology (IDAMAP-98): a workshop at ECAI-98. University of Brighton: ECAI, 1998, 34-37.
  • KUKAR, Matjaz, KONONENKO, Igor. Cost-sensitive learning with neural networks. In PRADE, Henry (ed.). Proceedings : ECAI 98. Chichester [etc.]: John Wiley & Sons, 1998, 445-449.
  • KONONENKO, Igor, BRATKO, Ivan, KUKAR, Matjaz. Application of machine learning to medical diagnosis. V: MICHALSKI, Ryszard S., BRATKO, Ivan, KUBAT, Miroslav (eds.). Machine learning and data mining : methods and applications. Chichester [etc.]: J. Wiley & Sons, 1998, 389-408.
  • 1999

  • KUKAR, Matjaz, KONONENKO, Igor, GROSELJ, Ciril, KRALJ, Katarina, FETTICH, Jure. Analysing and improving the diagnosis of ischaemic heart disease with machine learning. Artif. intell. med.. , 1999, vol. 16, no. 1, 25-50.
  • KUKAR, Matjaz, GROSELJ, Ciril. Machine learning in stepwise diagnostic process. In: HORN, Werner (ur.), SHAHAR, Yuval (ur.), LINDBERG, Greger (ur.), ANDREASSEN, Steen (ur.), WYATT, Jeremy (ur.). Joint European Conference on Artificial Intelligence in Medicine and Medical Decision Making, AIMDM'99, Aalborg, Denmark, June 20-24, 1999. 315-325.
  • GROSELJ, Ciril, KUKAR, Matjaz, FETTICH, Jurij, KONONENKO, Igor. Artifical intelligence improves the accuracy of coronary artery disease diagnostic methods. In Third International Congress of the Croatian Society of Nuclear Medicine. Book of abstracts. Opatija. Croatian society of nuclear medicine, 1999, 22.
  • 2001

  • KUKAR, Matjaz. Making reliable diagnoses with machine learning : a case study. In QUAGLINI, Silvana, BARAHONA, Pedro, ANDREASSEN, Steen (eds.). 8th Conference on Artificial Intelligence in Medicine in Europe, AIME 2001 Cascais, Portugal, July 1-4, 2001. Artificial intelligence in medicine : proceedings, 88-98.
  • BOSNIĆ, Zoran, KONONENKO, Igor, ROBNIK SIKONJA, Marko, KUKAR, Matjaz. Ocenjevanje zanesljivosti predikcij pri regresiji. V: ZAJC, Baldomir (ur.). Zbornik desete ElektrotehniSke in računalniSke konference ERK 2001, 24. - 26. september 2001, Portoroz, Slovenija. Ljubljana: IEEE Region 8, Slovenska sekcija IEEE, 2001. 173-176.
  • GROSELJ, Ciril, KUKAR, Matjaz. Improving the accuracy of myocardial perfusion scintigraphy results by machine learning method. V: 25th international symposium of the Radioactive isotopes in clinical medicine and research, 2002 Jan 8-11, Bad Gastein. Final programme & abstracts book. 90-91.
  • KUKAR, Matjaz. Ocenjevanje zanesljivosti klasifikacij in cenovno obcutljivo kombiniranje metod strojnega ucenja: doktorska disertacija. (Estimating classifications' reliability and cost-sensitive combination of machine learning methods: PhD thesis. In Slovene with English abstract). PS, PS.GZ, PDF. University of Ljubljana, 2001.
  • 2002

  • KUKAR, Matjaz, KONONENKO, Igor. Reliable classifications with machine learning. In ELOMAA, Tapio, MANNILA, Heikki, TOIVONEN, Hannu (eds.). Machine learning : ECML 2002 : 13th European Conference on Machine Learning, Helsinki, Finland, August 19-23, 2002 : proceedings, (Lecture notes in computer science, Lecture notes in artificial intelligence, vol. 2430). Berlin: Springer, 2002, pp. 219-231.
  • KUKAR, Matjaz, GROSELJ, Ciril. Reliable diagnostic for coronary artery disease. In KOKOL, Peter, STIGLIC, Bruno, ZORMAN, Milan, ZAZULA, Damjan (eds.). 15th IEEE symposium on computer-based medical systems (CBMS 2002), 4-7 June 2002, Maribor, Slovenia. Proceedings. Los Alamitos: IEEE Computer society, 2002, pp. 7-12.
  • GROSELJ, Ciril, KUKAR, Matjaz. Improving the accuracy of myocardial perfusion scintigraphy results by machine learning method. V: 25th international symposium of the Radioactive isotopes in clinical medicine and research, 2002 Jan 8-11, Bad Gastein. Final programme & abstracts book, pp. 90-91.
  • 2003

  • KUKAR, Matjaz. Transductive reliability estimation for medical diagnosis. Artif. intell. med. 29 (2003),81-106 (Gzipped PostScript, PDF)
  • KUKAR, Matjaz. Drifting concepts as hidden factors in clinical studies Proc. 9th Conference on Artificial Intelligence in Medicine in Europe AIME 2003, Protaras, Cyprus, 2003, pages 355-364.
  • BOSNIC, Zoran, KONONENKO, Igor, ROBNIK SIKONJA, Marko, KUKAR, Matjaz. Evaluation of prediction reliability in regression using the transduction principle. In ZAJC, Baldomir, TKALCIC, Marko (eds.). The IEEE Region 8 EUROCON 2003 : computer as a tool, Piscataway: IEEE, 2003, vol. 2, pages. 99-103.
  • GROSELJ, Ciril, KUKAR, Matjaz. Improving the coronary artery disease pretest probability by machine learning method. Poster session on Computers in cardiology of the 3rd World Congress on Heart Disease: new trends in research, diagnosis and treatment. Washington, 2003.
  • GROSELJ, Ciril, KUKAR, Matjaz. Improving the results of myocardial perfusion scintigraphy by machine learning. Poster session on Computers in cardiology of the 3rd World Congress on Heart Disease: new trends in research, diagnosis and treatment. Washington, 2003.
  • 2004

  • GROSELJ, Ciril, KUKAR, Matjaz. Interpreting the results of myocardial perfusion scintigraphy by machine learning. In KIMCHI, Asher (ed.). Heart disease : pathogenesis, diagnosis and treatment. Bologna: Monduzzi Editore, 2004, pages 461-464.
  • GROSELJ, Ciril, KUKAR, Matjaz. Estimating the pretest probability of coronary artery disease by machine learning - comparison with the Diamond-Forrester method. In KIMCHI, Asher (ed.). Heart disease : pathogenesis, diagnosis and treatment. Bologna: Monduzzi Editore, 2004, pages 465-469.
  • KUKAR, Matjaz. Transduction and typicalness for quality assessment of individual classifications in machine learning and data mining. In RASTOGI, Rajeev (ed.), Proc. ICDM 2004, IEEE Computer Society, 2004, pages 146-153.
  • KUKAR, Matjaz. Estimating confidence values of individual predictions by their typicalness and reliability. In LÓPEZ DE MÁNTARAS, Ramon, SAITTA, Lorenza (eds.), Proc. 16th European Conference on Artificial Intelligence, IOS Press, 2004, pages 1045-1046.
  • 2005

    KUKAR, Matjaz, GROSELJ, Ciril. Transductive machine learning for reliable medical diagnostics. J. med. syst., 2005, vol. 29(1), pages. 13-23.

    Unpublished:

  • M. Kukar.
    CMAC nevronske mreze. FRI, 1996.
  • M. Kukar.
    Informacijski sistemi in internet. FRI, 1996.
  • M. Kukar.
    Java - virtualni stroj in prevajalnik. FRI, 1996.
  • GROBELNIK, Marko, KUKAR, Matjaz, MLADENIC, Dunja. Analiza tekstovnih podatkov. Ljubljana: Institut Jozef Stefan, Center za prenos znanja na področju informacijskih tehnologij, 1999.
  • BibTeX

  • Here is my bibliography in the BibTeX format.
  • COBISS

  • Bibliografija v COBISS-u.