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Dragan Gamberger Vis

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*2009
38EEPetra 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
37 Dragan Gamberger, Marin Prcela, Alan Jovic, Tomislav Smuc, Ganfranco 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
36EEMarin Prcela, Dragan Gamberger, Alan Jovic: Semantic Web Ontology Utilization for Heart Failure Expert System Design. MIE 2008: 851-856
35EEDragan Gamberger, Nada Lavrac, Johannes Fürnkranz: Handling Unknown and Imprecise Attribute Values in Propositional Rule Learning: A Feature-Based Approach. PRICAI 2008: 636-645
2007
34EEPetra Kralj, Nada Lavrac, Dragan Gamberger, Antonija Krstacic: Contrast Set Mining for Distinguishing Between Similar Diseases. AIME 2007: 109-118
33EEDragan Gamberger, Nada Lavrac: Supporting Factors in Descriptive Analysis of Brain Ischaemia. AIME 2007: 155-159
32EEPetra Kralj, Nada Lavrac, Dragan Gamberger, Antonija Krstacic: Contrast Set Mining Through Subgroup Discovery Applied to Brain Ischaemina Data. PAKDD 2007: 579-586
31EEDragan 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)
2004
30EENada Lavrac, Dragan Gamberger: Relevancy in Constraint-Based Subgroup Discovery. Constraint-Based Mining and Inductive Databases 2004: 243-266
29 Dragan Gamberger, Nada Lavrac: Avoiding Data Overfitting in Scientific Discovery: Experiments in Functional Genomics. ECAI 2004: 470-474
28EEDragan 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)
27EENada 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)
2003
26 Nada Lavrac, Dragan Gamberger, Ljupco Todorovski, Hendrik Blockeel: Machine Learning: ECML 2003, 14th European Conference on Machine Learning, Cavtat-Dubrovnik, Croatia, September 22-26, 2003, Proceedings Springer 2003
25 Nada Lavrac, Dragan Gamberger, Hendrik Blockeel, Ljupco Todorovski: 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 Springer 2003
24EEDragan Gamberger, Nada Lavrac: Analysis of Gene Expression Data by the Logic Minimization Approach. AIME 2003: 244-248
23EEDragan 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)
2002
22 Dragan Gamberger, Nada Lavrac: Descriptive Induction through Subgroup Discovery: A Case Study in a Medical Domain. ICML 2002: 163-170
21EEDragan Gamberger, Nada Lavrac: Generating Actionable Knowledge by Expert-Guided Subgroup Discovery. PKDD 2002: 163-174
20EEDragan Gamberger, Nada Lavrac: Expert-Guided Subgroup Discovery: Methodology and Application. J. Artif. Intell. Res. (JAIR) 17: 501-527 (2002)
19EEDragan 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)
2001
18EETomislav Smuc, Dragan Gamberger, Goran Krstacic: Combining Unsupervised and Supervised Machine Learning. AIME 2001: 109-112
17EEGoran Krstacic, Dragan Gamberger, Tomislav Smuc: Coronary Heart Disease Patient Models Based on Inductive Machine Learning. AIME 2001: 113-116
2000
16EEDragan Gamberger, Goran Krstacic, Tomislav Smuc: Medical Expert Evaluation of Machine Learning Results for a Coronary Heart Disease Database. ISMDA 2000: 159-168
15EEDragan Gamberger, Nada Lavrac, Goran Krstacic, Tomislav Smuc: Inconsistency Tests for Patient Records in a Coronary Heart Disease Database. ISMDA 2000: 183-189
14EEDragan Gamberger, Nada Lavrac: Confirmation Rule Sets. PKDD 2000: 34-43
13 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)
1999
12EEDragan Gamberger, Nada Lavrac, Ciril Groselj: Diagnostic Rules of Increased Reliability for Critical Medical Applications. AIMDM 1999: 361-365
11 Dragan Gamberger, Nada Lavrac, Ciril Groselj: Experiments with Noise Filtering in a Medical Domain. ICML 1999: 143-151
10 Nada Lavrac, Dragan Gamberger, Viktor Jovanoski: A Study of Relevance for Learning in Deductive Databases. J. Log. Program. 40(2-3): 215-249 (1999)
1998
9 Nada Lavrac, Dragan Gamberger, Peter D. Turney: A Relevancy Filter for Constructive Induction. IEEE Intelligent Systems 13(2): 50-56 (1998)
1997
8EEDragan Gamberger, Nada Lavrac: Conditions for Occam's Razor Applicability and Noise Elimination. ECML 1997: 108-123
1996
7 Nada Lavrac, Dragan Gamberger, Peter D. Turney: Cost-Sensitive Feature Reduction Applied to a Hybrid Genetic Algorithm. ALT 1996: 127-134
6 Dragan Gamberger, Nada Lavrac, Saso Dzeroski: Noise Elimination in Inductive Concept Learning: A Case Study in Medical Diagnosois. ALT 1996: 199-212
5 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
4 Dragan Gamberger: Inductively Learned Rule for Breast Cancer Domain with Improved Interobserver Reproductibility. AIME 1995: 431-432
3EEDragan Gamberger: A Minimization Approach to Propositional Inductive Learning. ECML 1995: 151-160
1993
2 Dragan Gamberger, Sanja Sekusak, Aleksandar Sabljic: Modelling Biodegradation by an Example-Based Learning System. Informatica (Slovenia) 17(2): (1993)
1986
1 Dragan Gamberger: High-Speed Routing Algorithms Based on Integer Residue Number Arithmetic. ICCC 1986: 637-642

Coauthor Index

1Hendrik Blockeel [25] [26]
2Antonio Candelieri [37]
3Bojan Cestnik [27]
4Domenico Conforti [37]
5Saso Dzeroski [6] [13]
6Peter A. Flach [27]
7Johannes Fürnkranz [35]
8Ciril Groselj [11] [12]
9Rosita Guido [37]
10Viktor Jovanoski [10]
11Alan Jovic [36] [37]
12Kalina Kawecka-Jaszcz [37]
13Andrzej A. Kononowicz [37]
14Antonija Krstacic [31] [32] [34] [38]
15Goran Krstacic [15] [16] [17] [18] [19] [31]
16Nada Lavrac [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [38]
17Petra Kralj Novak (Petra Kralj) [32] [34] [38]
18Ganfranco Parati [37]
19Marin Prcela [36] [37]
20Aleksandar Sabljic [2]
21Sanja Sekusak [2]
22Tomislav Smuc [15] [16] [17] [18] [37]
23Katarzyna Styczkiewicz [37]
24Ljupco Todorovski [25] [26]
25Jakub Tolar [28]
26Peter D. Turney [7] [9]
27Mariaconsuelo Valentini [37]
28Filip Zelezný [28]

Colors in the list of coauthors

Copyright © Tue Nov 3 08:52:44 2009 by Michael Ley (ley@uni-trier.de)