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Dragan Gamberger
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2010 – 2019
- 2019
- [j17]Dragan Gamberger
, Tjasa Stare, Dragana Miljkovic, Kristina Gruden, Nada Lavrac:
Discovery of Relevant Response in Infected Potato Plants from Time Series of Gene Expression Data. Mach. Learn. Knowl. Extr. 1(1): 400-413 (2019) - 2016
- [j16]Dragan Gamberger, Bernard Zenko, Alexis Mitelpunkt, Netta Shachar, Nada Lavrac:
Clusters of male and female Alzheimer's disease patients in the Alzheimer's Disease Neuroimaging Initiative (ADNI) database. Brain Informatics 3(3): 169-179 (2016) - 2015
- [c36]Dragan Gamberger, Bernard Zenko, Alexis Mitelpunkt, Nada Lavrac:
Identification of Gender Specific Biomarkers for Alzheimer's Disease. BIH 2015: 57-66 - [c35]Dragan Gamberger, Bernard Zenko, Alexis Mitelpunkt, Nada Lavrac:
Multilayer Clustering: Biomarker Driven Segmentation of Alzheimer's Disease Patient Population. IWBBIO (1) 2015: 134-145 - 2014
- [j15]Borut Sluban, Dragan Gamberger, Nada Lavrac:
Ensemble-based noise detection: noise ranking and visual performance evaluation. Data Min. Knowl. Discov. 28(2): 265-303 (2014) - [c34]Dragan Gamberger, Matej Mihelcic, Nada Lavrac:
Multilayer Clustering: A Discovery Experiment on Country Level Trading Data. Discovery Science 2014: 87-98 - 2013
- [c33]Dragan Gamberger, Goran Krstaçic, Alan Jovic
A Novel Way of Integrating Rule-Based Knowledge into a Web Ontology Language Framework. EFMI-STC 2013: 51-55 - 2012
- [b1]Johannes Fürnkranz
Foundations of Rule Learning. Cognitive Technologies, Springer 2012, ISBN 978-3-540-75196-0, pp. 1-298 - [j14]Goran Krstacic, Gianfranco Parati
Heart rate variability and nonlinear dynamic analysis in patients with stress-induced cardiomyopathy. Medical Biol. Eng. Comput. 50(10): 1037-1046 (2012) - [c32]Dragan Gamberger, Drazen Lucanin, Tomislav Smuc:
Descriptive Modeling of Systemic Banking Crises. Discovery Science 2012: 67-80 - 2011
- [j13]Alan Jovic, Dragan Gamberger, Goran Krstacic:
Heart failure ontology. Bio Algorithms Med Syst. 7(2): 101-110 (2011) - [i1]Dragan Gamberger, Nada Lavrac:
Expert-Guided Subgroup Discovery: Methodology and Application. CoRR abs/1106.4576 (2011) - 2010
- [c31]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 - [c30]Borut Sluban, Dragan Gamberger, Nada Lavrac:
Advances in Class Noise Detection. ECAI 2010: 1105-1106 - [c29]Borut Sluban, Dragan Gamberger, Nada Lavrac:
Performance Analysis of Class Noise Detection Algorithms. STAIRS 2010: 303-314 - [p1]Nada Lavrac, Johannes Fürnkranz
Explicit Feature Construction and Manipulation for Covering Rule Learning Algorithms. Advances in Machine Learning I 2010: 121-146
2000 – 2009
- 2009
- [j12]Matko Bosnjak, Andrzej A. Kononowicz, Katarzyna Styczkiewicz, Bogumila Bacior, Rajko Horvat, Marin Prcela, Dragan Gamberger, Angela Sciacqua, Mariaconsuelo Valentini, Kalina Kawecka-Jaszcz, Gianfranco Parati, Domenico Conforti:
HEARTFAID's eCRF: Lessons Learnt from Using a Two-Level Data Acquisition and Storage System for Knowledge Discovery Tasks within an Electronic Platform for Managing Heart Failure Patients. Bio Algorithms Med Syst. 5(10): 59-69 (2009) - [j11]Petra Kralj Novak
CSM-SD: Methodology for contrast set mining through subgroup discovery. J. Biomed. Informatics 42(1): 113-122 (2009) - 2008
- [c28]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 - [c27]Dragan Gamberger, Marin Prcela, Matko Bosnjak:
Attribute ranking for intelligent data analysis in medical applications. ITI 2008: 323-328 - [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
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
Contrast Set Mining Through Subgroup Discovery Applied to Brain Ischaemina Data. PAKDD 2007: 579-586 - 2004
- [j9]Dragan Gamberger, Nada Lavrac, Filip Zelezný
Induction of comprehensible models for gene expression datasets by subgroup discovery methodology. J. Biomed. 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. Mach. Learn. 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. Artif. Intell. 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:
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 [contents] - [e1]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. Lecture Notes in Computer Science 2838, Springer 2003, ISBN 3-540-20085-1 [contents] - 2002
- [j6]Dragan Gamberger, Nada Lavrac:
Expert-Guided Subgroup Discovery: Methodology and Application. J. Artif. Intell. Res. 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. J. Intell. Fuzzy Syst. 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. Appl. Artif. Intell. 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]Dragan Gamberger, Nada Lavrac:
Confirmation Rule Sets. PKDD 2000: 34-43
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 Intell. Syst. 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]Dragan Gamberger:
A Minimization Approach to Propositional Inductive Learning. ECML 1995: 151-160 - 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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