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Dragan Gamberger
2010 – today
- 2012
[b1]Johannes Fürnkranz, Dragan Gamberger, Nada Lavrac: Foundations of Rule Learning. Cognitive Technologies, Springer 2012, ISBN 978-3-540-75196-0, pp. 1-298- [j12]Goran Krstacic, Gianfranco Parati, Dragan Gamberger, Paolo Castiglioni, Antonija Krstacic, Robert Steiner: Heart rate variability and nonlinear dynamic analysis in patients with stress-induced cardiomyopathy. Med. Biol. Engineering and Computing 50(10): 1037-1046 (2012)
- [c31]Dragan Gamberger, Drazen Lucanin, Tomislav Smuc: Descriptive Modeling of Systemic Banking Crises. Discovery Science 2012: 67-80
- 2011
- [i1]Dragan Gamberger, Nada Lavrac: Expert-Guided Subgroup Discovery: Methodology and Application. CoRR abs/1106.4576 (2011)
- 2010
- [c30]Marin Prcela, Dragan Gamberger, Tomislav Smuc, Nikola Bogunovic: Information Gain of Structured Medical Diagnostic Tests - Integration of Bayesian Networks and Ontologies. HEALTHINF 2010: 235-240
- [c29]Borut Sluban, Dragan Gamberger, Nada Lavrac: Advances in Class Noise Detection. ECAI 2010: 1105-1106
- [c28]Borut Sluban, Dragan Gamberger, Nada Lavrac: Performance Analysis of Class Noise Detection Algorithms. STAIRS 2010: 303-314
- [p1]Nada Lavrac, Johannes Fürnkranz, Dragan Gamberger: Explicit Feature Construction and Manipulation for Covering Rule Learning Algorithms. Advances in Machine Learning I 2010: 121-146
2000 – 2009
- 2009
- [j11]Petra Kralj Novak, Nada Lavrac, Dragan Gamberger, Antonija Krstacic: CSM-SD: Methodology for contrast set mining through subgroup discovery. Journal of Biomedical Informatics 42(1): 113-122 (2009)
- 2008
- [c27]Dragan Gamberger, Marin Prcela, Alan Jovic, Tomislav Smuc, Gianfranco Parati, Mariaconsuelo Valentini, Kalina Kawecka-Jaszcz, Katarzyna Styczkiewicz, Andrzej A. Kononowicz, Antonio Candelieri, Domenico Conforti, Rosita Guido: Medical Knowledge Representation within Heartfaid Platform. HEALTHINF (1) 2008: 307-314
- [c26]Marin Prcela, Dragan Gamberger, Alan Jovic: Semantic Web Ontology Utilization for Heart Failure Expert System Design. MIE 2008: 851-856
- [c25]Dragan Gamberger, Nada Lavrac, Johannes Fürnkranz: Handling Unknown and Imprecise Attribute Values in Propositional Rule Learning: A Feature-Based Approach. PRICAI 2008: 636-645
- 2007
- [j10]Dragan Gamberger, Nada Lavrac, Antonija Krstacic, Goran Krstacic: Clinical data analysis based on iterative subgroup discovery: experiments in brain ischaemia data analysis. Appl. Intell. 27(3): 205-217 (2007)
- [c24]Petra Kralj, Nada Lavrac, Dragan Gamberger, Antonija Krstacic: Contrast Set Mining for Distinguishing Between Similar Diseases. AIME 2007: 109-118
- [c23]Dragan Gamberger, Nada Lavrac: Supporting Factors in Descriptive Analysis of Brain Ischaemia. AIME 2007: 155-159
- [c22]Petra Kralj, Nada Lavrac, Dragan Gamberger, Antonija Krstacic: Contrast Set Mining Through Subgroup Discovery Applied to Brain Ischaemina Data. PAKDD 2007: 579-586
- 2004
- [j9]Dragan Gamberger, Nada Lavrac, Filip Zelezný, Jakub Tolar: Induction of comprehensible models for gene expression datasets by subgroup discovery methodology. Journal of Biomedical Informatics 37(4): 269-284 (2004)
- [j8]Nada Lavrac, Bojan Cestnik, Dragan Gamberger, Peter A. Flach: Decision Support Through Subgroup Discovery: Three Case Studies and the Lessons Learned. Machine Learning 57(1-2): 115-143 (2004)
- [c21]Nada Lavrac, Dragan Gamberger: Relevancy in Constraint-Based Subgroup Discovery. Constraint-Based Mining and Inductive Databases 2004: 243-266
- [c20]Dragan Gamberger, Nada Lavrac: Avoiding Data Overfitting in Scientific Discovery: Experiments in Functional Genomics. ECAI 2004: 470-474
- 2003
- [j7]Dragan Gamberger, Nada Lavrac: Active subgroup mining: a case study in coronary heart disease risk group detection. Artificial Intelligence in Medicine 28(1): 27-57 (2003)
- [c19]Dragan Gamberger, Nada Lavrac: Analysis of Gene Expression Data by the Logic Minimization Approach. AIME 2003: 244-248
- [e2]Nada Lavrac, Dragan Gamberger, Ljupco Todorovski, Hendrik Blockeel (Eds.): Machine Learning: ECML 2003, 14th European Conference on Machine Learning, Cavtat-Dubrovnik, Croatia, September 22-26, 2003, Proceedings. Lecture Notes in Computer Science 2837, Springer 2003, ISBN 3-540-20121-1
- [e1]Nada Lavrac, Dragan Gamberger, Hendrik Blockeel, Ljupco Todorovski (Eds.): Knowledge Discovery in Databases: PKDD 2003, 7th European Conference on Principles and Practice of Knowledge Discovery in Databases, Cavtat-Dubrovnik, Croatia, September 22-26, 2003, Proceedings. Lecture Notes in Computer Science 2838, Springer 2003, ISBN 3-540-20085-1
- 2002
- [j6]Dragan Gamberger, Nada Lavrac: Expert-Guided Subgroup Discovery: Methodology and Application. J. Artif. Intell. Res. (JAIR) 17: 501-527 (2002)
- [j5]Dragan Gamberger, Nada Lavrac, Goran Krstacic: Confirmation rule induction and its applications to coronary heart disease diagnosis and risk group discovery. Journal of Intelligent and Fuzzy Systems 12(1): 35-48 (2002)
- [c18]Dragan Gamberger, Nada Lavrac: Descriptive Induction through Subgroup Discovery: A Case Study in a Medical Domain. ICML 2002: 163-170
- [c17]Dragan Gamberger, Nada Lavrac: Generating Actionable Knowledge by Expert-Guided Subgroup Discovery. PKDD 2002: 163-174
- 2001
- [c16]Tomislav Smuc, Dragan Gamberger, Goran Krstacic: Combining Unsupervised and Supervised Machine Learning. AIME 2001: 109-112
- [c15]Goran Krstacic, Dragan Gamberger, Tomislav Smuc: Coronary Heart Disease Patient Models Based on Inductive Machine Learning. AIME 2001: 113-116
- 2000
- [j4]Dragan Gamberger, Nada Lavrac, Saso Dzeroski: Noise Detection and Elimination in data Proprocessing: Experiments in Medical Domains. Applied Artificial Intelligence 14(2): 205-223 (2000)
- [c14]Dragan Gamberger, Goran Krstacic, Tomislav Smuc: Medical Expert Evaluation of Machine Learning Results for a Coronary Heart Disease Database. ISMDA 2000: 159-168
- [c13]Dragan Gamberger, Nada Lavrac, Goran Krstacic, Tomislav Smuc: Inconsistency Tests for Patient Records in a Coronary Heart Disease Database. ISMDA 2000: 183-189
- [c12]
1990 – 1999
- 1999
- [j3]Nada Lavrac, Dragan Gamberger, Viktor Jovanoski: A Study of Relevance for Learning in Deductive Databases. J. Log. Program. 40(2-3): 215-249 (1999)
- [c11]Dragan Gamberger, Nada Lavrac, Ciril Groselj: Diagnostic Rules of Increased Reliability for Critical Medical Applications. AIMDM 1999: 361-365
- [c10]Dragan Gamberger, Nada Lavrac, Ciril Groselj: Experiments with Noise Filtering in a Medical Domain. ICML 1999: 143-151
- 1998
- [j2]Nada Lavrac, Dragan Gamberger, Peter D. Turney: A Relevancy Filter for Constructive Induction. IEEE Intelligent Systems 13(2): 50-56 (1998)
- 1997
- [c9]Dragan Gamberger, Nada Lavrac: Conditions for Occam's Razor Applicability and Noise Elimination. ECML 1997: 108-123
- 1996
- [c8]Nada Lavrac, Dragan Gamberger, Peter D. Turney: Cost-Sensitive Feature Reduction Applied to a Hybrid Genetic Algorithm. ALT 1996: 127-134
- [c7]Dragan Gamberger, Nada Lavrac, Saso Dzeroski: Noise Elimination in Inductive Concept Learning: A Case Study in Medical Diagnosois. ALT 1996: 199-212
- [c6]Dragan Gamberger, Nada Lavrac: Noise Detection and Elimination Applied to Noise Handling in a KRK Chess Endgame. Inductive Logic Programming Workshop 1996: 72-88
- 1995
- [c5]Dragan Gamberger: Inductively Learned Rule for Breast Cancer Domain with Improved Interobserver Reproductibility. AIME 1995: 431-432
- [c4]
- 1993
- [j1]Dragan Gamberger, Sanja Sekusak, Aleksandar Sabljic: Modelling Biodegradation by an Example-Based Learning System. Informatica (Slovenia) 17(2) (1993)
- 1991
- [c3]Dragan Gamberger: New approach to integer division in residue number systems. IEEE Symposium on Computer Arithmetic 1991: 84-91
1980 – 1989
- 1989
- [c2]Dragan Gamberger: Incompletely specified numbers in the residue number system-definition and applications. IEEE Symposium on Computer Arithmetic 1989: 210-215
- 1986
- [c1]Dragan Gamberger: High-Speed Routing Algorithms Based on Integer Residue Number Arithmetic. ICCC 1986: 637-642
Coauthor Index
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last updated on 2013-10-02 11:04 CEST by the dblp team