2008 |
36 | | Dragan Gamberger,
Marin Prcela,
Alan Jovic,
Tomislav Smuc,
Ganfranco Parati,
Mariaconsuelo Valentini,
Kalina Kawecka-Jaszcz,
Katarzyna Styczkiewicz,
Andrzej Kononowicz,
Antonio Candelieri,
Domenico Conforti,
Rosita Guido:
Medical Knowledge Representation within Heartfaid Platform.
HEALTHINF (1) 2008: 307-314 |
35 | EE | 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 |
34 | EE | Petra Kralj,
Nada Lavrac,
Dragan Gamberger,
Antonija Krstacic:
Contrast Set Mining for Distinguishing Between Similar Diseases.
AIME 2007: 109-118 |
33 | EE | Dragan Gamberger,
Nada Lavrac:
Supporting Factors in Descriptive Analysis of Brain Ischaemia.
AIME 2007: 155-159 |
32 | EE | Petra Kralj,
Nada Lavrac,
Dragan Gamberger,
Antonija Krstacic:
Contrast Set Mining Through Subgroup Discovery Applied to Brain Ischaemina Data.
PAKDD 2007: 579-586 |
31 | EE | 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) |
2004 |
30 | EE | Nada 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 |
28 | EE | 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) |
27 | EE | 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) |
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 |
24 | EE | Dragan Gamberger,
Nada Lavrac:
Analysis of Gene Expression Data by the Logic Minimization Approach.
AIME 2003: 244-248 |
23 | EE | 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) |
2002 |
22 | | Dragan Gamberger,
Nada Lavrac:
Descriptive Induction through Subgroup Discovery: A Case Study in a Medical Domain.
ICML 2002: 163-170 |
21 | EE | Dragan Gamberger,
Nada Lavrac:
Generating Actionable Knowledge by Expert-Guided Subgroup Discovery.
PKDD 2002: 163-174 |
20 | EE | Dragan Gamberger,
Nada Lavrac:
Expert-Guided Subgroup Discovery: Methodology and Application.
J. Artif. Intell. Res. (JAIR) 17: 501-527 (2002) |
19 | EE | 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) |
2001 |
18 | EE | Tomislav Smuc,
Dragan Gamberger,
Goran Krstacic:
Combining Unsupervised and Supervised Machine Learning.
AIME 2001: 109-112 |
17 | EE | Goran Krstacic,
Dragan Gamberger,
Tomislav Smuc:
Coronary Heart Disease Patient Models Based on Inductive Machine Learning.
AIME 2001: 113-116 |
2000 |
16 | EE | Dragan Gamberger,
Goran Krstacic,
Tomislav Smuc:
Medical Expert Evaluation of Machine Learning Results for a Coronary Heart Disease Database.
ISMDA 2000: 159-168 |
15 | EE | Dragan Gamberger,
Nada Lavrac,
Goran Krstacic,
Tomislav Smuc:
Inconsistency Tests for Patient Records in a Coronary Heart Disease Database.
ISMDA 2000: 183-189 |
14 | EE | Dragan 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 |
12 | EE | Dragan 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 |
8 | | Dragan 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 |
3 | | Dragan 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 |