Zagreb, Bijenicka 54
gamberger-CV.pdf 96.50 kB
Ph.D in Computer sciences, 1986, University of Zagreb
M.Sc in Electrical Engineering, 1978, University of Zagreb
B.Sc in Electrical Engineering, 1974, University of Zagreb
HRZZ research project:
"Knowledge Discovery in Medical Domains" doctoral studies, School of Medicine at University of Zagreb (2003. -)
Sluban, B., Gamberger, D., Lavrac, N. (2014) Ensemble-based noise detection: Noise ranking and visual performance evaluation. Data Mining and Knowledge Discovery, 28(2):265-303.
Gamberger, D. Smuc, T. (2013) Good Governance Problems and Recent Financial Crises in Some EU Countries.Economics: The Open-Access, Open-Assessment E-Journal, 7:2013-41.
Gamberger, D., Krstacic, G., Jovic, A. (2013) A novel way of integrating rule based knowledge into a web ontology language framework. In Proc. of Thirteenth EFMI Special Topic Conference "Data and Knowledge for Medical Decision Support", IOS Press, pp. 51-55.
Fuernkranz, J., Gamberger, D., Lavrac, N. (2012). Foundations of Rule Learning. Springer.
Gamberger, D., Lucanin, D. Smuc, T.(2012) Descriptive modeling of systemic banking crises.In Proc. of 15th International Discovery Science Conference, DS 2012, pp.67-80.
Jovic, A., Gamberger, D., Krstacic. G. (2011) Heart failure ontology.Bio-algorithms and med-systems, 7(2):101-110.
Kralj, P., Lavrač, N., Gamberger, D. Krstačić, A. (2009) CSM-SD: Methodology for contrast set mining through subgroup discovery. Journal of Biomedical Informatics, 42/1:113-122.
Lambach, D., Gamberger, D. (2008) Temporal analysis of political instability through descriptive subgroup discovery. Conflict Management and Peace Science, 25:19-32.
Gamberger, D., Lavrač, N., Zelezny, F., Tolar, J. (2004) Induction of comprehensible models for gene expression datasets by subgroup discovery methodology. Journal of Biomedical Informatics, 37/4:269-284.
Baker, J.R., Gamberger, D., Mihelcic, J.R., Sabljić, A. (2004) Evaluation of artificial intelligence based models for chemical biodegradability prediction. Molecules, 9:989-1004.
Gamberger, D., Lavrač, N., Krstačić, G. (2003) Active subgroup mining: A case study in a coronary heart disease risk group detection. Artificial Intelligence in Medicine, 28:27-57.
Gamberger, D. Lavrač, N. (2002) Expert-guided subgroup discovery: Methodology and Application. Journal of Artificial Intelligence Research, 17:501-527
Gamberger, D. (1992) Inversion of integer matrices in residue number system. IEE Proceedings-E, 139:465-468.
Authored book: Fuernkranz, J., Gamberger, D., Lavrac, N. (2012). Foundations of Rule Learning. Springer.