Dragan Gamberger

58 papers A* 2A 2B 13C 3Journal 18Unranked 16

Year	Rank	Type	Title / Venue / Authors
2019	J	`jnl`	Discovery of Relevant Response in Infected Potato Plants from Time Series of Gene Expression Data. Mach. Learn. Knowl. Extr. Dragan Gamberger, Tjasa Stare, Dragana Miljkovic, Kristina Gruden, Nada Lavrac
2016	J	`jnl`	Clusters of male and female Alzheimer's disease patients in the Alzheimer's Disease Neuroimaging Initiative (ADNI) database. Brain Informatics Dragan Gamberger, Bernard Zenko, Alexis Mitelpunkt, Netta Shachar, Nada Lavrac
2015	—	`conf`	Identification of Gender Specific Biomarkers for Alzheimer's Disease. BIH Dragan Gamberger, Bernard Zenko, Alexis Mitelpunkt, Nada Lavrac
2015	—	`conf`	Multilayer Clustering: Biomarker Driven Segmentation of Alzheimer's Disease Patient Population. IWBBIO (1) Dragan Gamberger, Bernard Zenko, Alexis Mitelpunkt, Nada Lavrac
2014	J	`jnl`	Ensemble-based noise detection: noise ranking and visual performance evaluation. Data Min. Knowl. Discov. Borut Sluban, Dragan Gamberger, Nada Lavrac
2014	B	`conf`	Multilayer Clustering: A Discovery Experiment on Country Level Trading Data. Discovery Science Dragan Gamberger, Matej Mihelcic, Nada Lavrac
2013	—	`conf`	A Novel Way of Integrating Rule-Based Knowledge into a Web Ontology Language Framework. EFMI-STC Dragan Gamberger, Goran Krstaçic, Alan Jovic
2012	B	`conf`	Descriptive Modeling of Systemic Banking Crises. Discovery Science Dragan Gamberger, Drazen Lucanin, Tomislav Smuc
2012	—	`book`	Foundations of Rule Learning Johannes Fürnkranz, Dragan Gamberger, Nada Lavrac
2012	J	`jnl`	Heart rate variability and nonlinear dynamic analysis in patients with stress-induced cardiomyopathy. Medical Biol. Eng. Comput. Goran Krstacic, Gianfranco Parati, Dragan Gamberger, Paolo Castiglioni, Antonija Krstacic, Robert Steiner
2011	J	`jnl`	Expert-Guided Subgroup Discovery: Methodology and Application CoRR Dragan Gamberger, Nada Lavrac
2011	J	`jnl`	Heart failure ontology. Bio Algorithms Med Syst. Alan Jovic, Dragan Gamberger, Goran Krstacic
2010	A	`conf`	Advances in Class Noise Detection. ECAI Borut Sluban, Dragan Gamberger, Nada Lavrac
2010	—	`ch.`	Explicit Feature Construction and Manipulation for Covering Rule Learning Algorithms. Advances in Machine Learning I Nada Lavrac, Johannes Fürnkranz, Dragan Gamberger
2010	—	`conf`	Information Gain of Structured Medical Diagnostic Tests - Integration of Bayesian Networks and Ontologies. HEALTHINF Marin Prcela, Dragan Gamberger, Tomislav Smuc, Nikola Bogunovic
2010	—	`conf`	Performance Analysis of Class Noise Detection Algorithms. STAIRS Borut Sluban, Dragan Gamberger, Nada Lavrac
2009	J	`jnl`	CSM-SD: Methodology for contrast set mining through subgroup discovery. J. Biomed. Informatics Petra Kralj Novak, Nada Lavrac, Dragan Gamberger, Antonija Krstacic
2009	J	`jnl`	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. 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
2008	—	`conf`	Attribute ranking for intelligent data analysis in medical applications. ITI Dragan Gamberger, Marin Prcela, Matko Bosnjak
2008	B	`conf`	Handling Unknown and Imprecise Attribute Values in Propositional Rule Learning: A Feature-Based Approach. PRICAI Dragan Gamberger, Nada Lavrac, Johannes Fürnkranz
2008	—	`conf`	Medical Knowledge Representation within Heartfaid Platform. HEALTHINF (1) 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
2008	—	`conf`	Semantic Web Ontology Utilization for Heart Failure Expert System Design. MIE Marin Prcela, Dragan Gamberger, Alan Jovic
2007	J	`jnl`	Clinical data analysis based on iterative subgroup discovery: experiments in brain ischaemia data analysis. Appl. Intell. Dragan Gamberger, Nada Lavrac, Antonija Krstacic, Goran Krstacic
2007	B	`conf`	Contrast Set Mining Through Subgroup Discovery Applied to Brain Ischaemina Data. PAKDD Petra Kralj, Nada Lavrac, Dragan Gamberger, Antonija Krstacic
2007	B	`conf`	Contrast Set Mining for Distinguishing Between Similar Diseases. AIME Petra Kralj, Nada Lavrac, Dragan Gamberger, Antonija Krstacic
2007	B	`conf`	Supporting Factors in Descriptive Analysis of Brain Ischaemia. AIME Dragan Gamberger, Nada Lavrac
2004	A	`conf`	Avoiding Data Overfitting in Scientific Discovery: Experiments in Functional Genomics. ECAI Dragan Gamberger, Nada Lavrac
2004	J	`jnl`	Decision Support Through Subgroup Discovery: Three Case Studies and the Lessons Learned. Mach. Learn. Nada Lavrac, Bojan Cestnik, Dragan Gamberger, Peter A. Flach
2004	J	`jnl`	Induction of comprehensible models for gene expression datasets by subgroup discovery methodology. J. Biomed. Informatics Dragan Gamberger, Nada Lavrac, Filip Zelezný, Jakub Tolar
2004	—	`conf`	Relevancy in Constraint-Based Subgroup Discovery. Constraint-Based Mining and Inductive Databases Nada Lavrac, Dragan Gamberger
2003	J	`jnl`	Active subgroup mining: a case study in coronary heart disease risk group detection. Artif. Intell. Medicine Dragan Gamberger, Nada Lavrac
2003	B	`conf`	Analysis of Gene Expression Data by the Logic Minimization Approach. AIME Dragan Gamberger, Nada Lavrac
2003	—	`ed.`	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 PKDD Nada Lavrac, Dragan Gamberger, Hendrik Blockeel, Ljupco Todorovski
2003	—	`ed.`	Machine Learning: ECML 2003, 14th European Conference on Machine Learning, Cavtat-Dubrovnik, Croatia, September 22-26, 2003, Proceedings ECML Nada Lavrac, Dragan Gamberger, Ljupco Todorovski, Hendrik Blockeel
2002	J	`jnl`	Confirmation rule induction and its applications to coronary heart disease diagnosis and risk group discovery. J. Intell. Fuzzy Syst. Dragan Gamberger, Nada Lavrac, Goran Krstacic
2002	A*	`conf`	Descriptive Induction through Subgroup Discovery: A Case Study in a Medical Domain. ICML Dragan Gamberger, Nada Lavrac
2002	J	`jnl`	Expert-Guided Subgroup Discovery: Methodology and Application. J. Artif. Intell. Res. Dragan Gamberger, Nada Lavrac
2002	—	`conf`	Generating Actionable Knowledge by Expert-Guided Subgroup Discovery. PKDD Dragan Gamberger, Nada Lavrac
2001	B	`conf`	Combining Unsupervised and Supervised Machine Learning. AIME Tomislav Smuc, Dragan Gamberger, Goran Krstacic
2001	B	`conf`	Coronary Heart Disease Patient Models Based on Inductive Machine Learning. AIME Goran Krstacic, Dragan Gamberger, Tomislav Smuc
2000	—	`conf`	Confirmation Rule Sets. PKDD Dragan Gamberger, Nada Lavrac
2000	—	`conf`	Inconsistency Tests for Patient Records in a Coronary Heart Disease Database. ISMDA Dragan Gamberger, Nada Lavrac, Goran Krstacic, Tomislav Smuc
2000	—	`conf`	Medical Expert Evaluation of Machine Learning Results for a Coronary Heart Disease Database. ISMDA Dragan Gamberger, Goran Krstacic, Tomislav Smuc
2000	J	`jnl`	Noise Detection and Elimination in data Proprocessing: Experiments in Medical Domains. Appl. Artif. Intell. Dragan Gamberger, Nada Lavrac, Saso Dzeroski
1999	J	`jnl`	A Study of Relevance for Learning in Deductive Databases. J. Log. Program. Nada Lavrac, Dragan Gamberger, Viktor Jovanoski
1999	—	`conf`	Diagnostic Rules of Increased Reliability for Critical Medical Applications. AIMDM Dragan Gamberger, Nada Lavrac, Ciril Groselj
1999	A*	`conf`	Experiments with Noise Filtering in a Medical Domain. ICML Dragan Gamberger, Nada Lavrac, Ciril Groselj
1998	J	`jnl`	A Relevancy Filter for Constructive Induction. IEEE Intell. Syst. Nada Lavrac, Dragan Gamberger, Peter D. Turney
1997	—	`conf`	Conditions for Occam's Razor Applicability and Noise Elimination. ECML Dragan Gamberger, Nada Lavrac
1996	B	`conf`	Cost-Sensitive Feature Reduction Applied to a Hybrid Genetic Algorithm. ALT Nada Lavrac, Dragan Gamberger, Peter D. Turney
1996	B	`conf`	Noise Detection and Elimination Applied to Noise Handling in a KRK Chess Endgame. Inductive Logic Programming Workshop Dragan Gamberger, Nada Lavrac
1996	B	`conf`	Noise Elimination in Inductive Concept Learning: A Case Study in Medical Diagnosois. ALT Dragan Gamberger, Nada Lavrac, Saso Dzeroski
1995	—	`conf`	A Minimization Approach to Propositional Inductive Learning. ECML Dragan Gamberger
1995	B	`conf`	Inductively Learned Rule for Breast Cancer Domain with Improved Interobserver Reproductibility. AIME Dragan Gamberger
1993	J	`jnl`	Modelling Biodegradation by an Example-Based Learning System. Informatica (Slovenia) Dragan Gamberger, Sanja Sekusak, Aleksandar Sabljic
1991	C	`conf`	New approach to integer division in residue number systems. IEEE Symposium on Computer Arithmetic Dragan Gamberger
1989	C	`conf`	Incompletely specified numbers in the residue number system-definition and applications. IEEE Symposium on Computer Arithmetic Dragan Gamberger
1986	C	`conf`	High-Speed Routing Algorithms Based on Integer Residue Number Arithmetic. ICCC Dragan Gamberger