High-Speed Routing Algorithms Based on Integer Residue Number Arithmetic. - Dragan Gamberger (ICCC, 1986)

Incompletely specified numbers in the residue number system-definition and applications. - Dragan Gamberger (IEEE Symposium on Computer Arithmetic, 1989)

New approach to integer division in residue number systems. - Dragan Gamberger (IEEE Symposium on Computer Arithmetic, 1991)

Modelling Biodegradation by an Example-Based Learning System. - Dragan Gamberger; Sanja Sekusak; Aleksandar Sabljic (Informatica (Slovenia), 1993)

Inductively Learned Rule for Breast Cancer Domain with Improved Interobserver Reproductibility. - Dragan Gamberger (AIME, 1995)

A Minimization Approach to Propositional Inductive Learning. - Dragan Gamberger (ECML, 1995)

Noise Elimination in Inductive Concept Learning: A Case Study in Medical Diagnosois. - Dragan Gamberger; Nada Lavrac; Saso Dzeroski (ALT, 1996)

Cost-Sensitive Feature Reduction Applied to a Hybrid Genetic Algorithm. - Nada Lavrac; Dragan Gamberger; Peter D. Turney (ALT, 1996)

Noise Detection and Elimination Applied to Noise Handling in a KRK Chess Endgame. - Dragan Gamberger; Nada Lavrac (Inductive Logic Programming Workshop, 1996)

Conditions for Occam's Razor Applicability and Noise Elimination. - Dragan Gamberger; Nada Lavrac (ECML, 1997)

A Relevancy Filter for Constructive Induction. - Nada Lavrac; Dragan Gamberger; Peter D. Turney (IEEE Intell. Syst., 1998)

Diagnostic Rules of Increased Reliability for Critical Medical Applications. - Dragan Gamberger; Nada Lavrac; Ciril Groselj (AIMDM, 1999)

Experiments with Noise Filtering in a Medical Domain. - Dragan Gamberger; Nada Lavrac; Ciril Groselj (ICML, 1999)

A Study of Relevance for Learning in Deductive Databases. - Nada Lavrac; Dragan Gamberger; Viktor Jovanoski (J. Log. Program., 1999)

Medical Expert Evaluation of Machine Learning Results for a Coronary Heart Disease Database. - Dragan Gamberger; Goran Krstacic; Tomislav Smuc (ISMDA, 2000)

Inconsistency Tests for Patient Records in a Coronary Heart Disease Database. - Dragan Gamberger; Nada Lavrac; Goran Krstacic; Tomislav Smuc (ISMDA, 2000)

Confirmation Rule Sets. - Dragan Gamberger; Nada Lavrac (PKDD, 2000)

Noise Detection and Elimination in data Proprocessing: Experiments in Medical Domains. - Dragan Gamberger; Nada Lavrac; Saso Dzeroski (Appl. Artif. Intell., 2000)

Coronary Heart Disease Patient Models Based on Inductive Machine Learning. - Goran Krstacic; Dragan Gamberger; Tomislav Smuc (AIME, 2001)

Combining Unsupervised and Supervised Machine Learning. - Tomislav Smuc; Dragan Gamberger; Goran Krstacic (AIME, 2001)

Descriptive Induction through Subgroup Discovery: A Case Study in a Medical Domain. - Dragan Gamberger; Nada Lavrac (ICML, 2002)

Generating Actionable Knowledge by Expert-Guided Subgroup Discovery. - Dragan Gamberger; Nada Lavrac (PKDD, 2002)

Expert-Guided Subgroup Discovery: Methodology and Application. - Dragan Gamberger; Nada Lavrac (J. Artif. Intell. Res., 2002)

Confirmation rule induction and its applications to coronary heart disease diagnosis and risk group discovery. - Dragan Gamberger; Nada Lavrac; Goran Krstacic (J. Intell. Fuzzy Syst., 2002)

Analysis of Gene Expression Data by the Logic Minimization Approach. - Dragan Gamberger; Nada Lavrac (AIME, 2003)

Active subgroup mining: a case study in coronary heart disease risk group detection. - Dragan Gamberger; Nada Lavrac (Artif. Intell. Medicine, 2003)

Relevancy in Constraint-Based Subgroup Discovery. - Nada Lavrac; Dragan Gamberger (Constraint-Based Mining and Inductive Databases, 2004)

Avoiding Data Overfitting in Scientific Discovery: Experiments in Functional Genomics. - Dragan Gamberger; Nada Lavrac (ECAI, 2004)

Induction of comprehensible models for gene expression datasets by subgroup discovery methodology. - Dragan Gamberger; Nada Lavrac; Filip Zelezný; Jakub Tolar (J. Biomed. Informatics, 2004)

Decision Support Through Subgroup Discovery: Three Case Studies and the Lessons Learned. - Nada Lavrac; Bojan Cestnik; Dragan Gamberger; Peter A. Flach (Mach. Learn., 2004)

Supporting Factors in Descriptive Analysis of Brain Ischaemia. - Dragan Gamberger; Nada Lavrac (AIME, 2007)

Contrast Set Mining for Distinguishing Between Similar Diseases. - Petra Kralj; Nada Lavrac; Dragan Gamberger; Antonija Krstacic (AIME, 2007)

Contrast Set Mining Through Subgroup Discovery Applied to Brain Ischaemina Data. - Petra Kralj; Nada Lavrac; Dragan Gamberger; Antonija Krstacic (PAKDD, 2007)

Clinical data analysis based on iterative subgroup discovery: experiments in brain ischaemia data analysis. - Dragan Gamberger; Nada Lavrac; Antonija Krstacic; Goran Krstacic (Appl. Intell., 2007)

Medical Knowledge Representation within Heartfaid Platform. - 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 (HEALTHINF (1), 2008)

Attribute ranking for intelligent data analysis in medical applications. - Dragan Gamberger; Marin Prcela; Matko Bosnjak (ITI, 2008)

Semantic Web Ontology Utilization for Heart Failure Expert System Design. - Marin Prcela; Dragan Gamberger; Alan Jovic (MIE, 2008)

Handling Unknown and Imprecise Attribute Values in Propositional Rule Learning: A Feature-Based Approach. - Dragan Gamberger; Nada Lavrac; Johannes Fürnkranz (PRICAI, 2008)

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. - 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 (Bio Algorithms Med Syst., 2009)

CSM-SD: Methodology for contrast set mining through subgroup discovery. - Petra Kralj Novak; Nada Lavrac; Dragan Gamberger; Antonija Krstacic (J. Biomed. Informatics, 2009)

Information Gain of Structured Medical Diagnostic Tests - Integration of Bayesian Networks and Ontologies. - Marin Prcela; Dragan Gamberger; Tomislav Smuc; Nikola Bogunovic (HEALTHINF, 2010)

Advances in Class Noise Detection. - Borut Sluban; Dragan Gamberger; Nada Lavrac (ECAI, 2010)

Performance Analysis of Class Noise Detection Algorithms. - Borut Sluban; Dragan Gamberger; Nada Lavrac (STAIRS, 2010)

Explicit Feature Construction and Manipulation for Covering Rule Learning Algorithms. - Nada Lavrac; Johannes Fürnkranz; Dragan Gamberger (Advances in Machine Learning I, 2010)

Heart failure ontology. - Alan Jovic; Dragan Gamberger; Goran Krstacic (Bio Algorithms Med Syst., 2011)

Descriptive Modeling of Systemic Banking Crises. - Dragan Gamberger; Drazen Lucanin; Tomislav Smuc (Discovery Science, 2012)

Heart rate variability and nonlinear dynamic analysis in patients with stress-induced cardiomyopathy. - Goran Krstacic; Gianfranco Parati; Dragan Gamberger; Paolo Castiglioni; Antonija Krstacic; Robert Steiner (Medical Biol. Eng. Comput., 2012)

Foundations of Rule Learning - Johannes Fürnkranz; Dragan Gamberger; Nada Lavrac (Springer, 2012)

A Novel Way of Integrating Rule-Based Knowledge into a Web Ontology Language Framework. - Dragan Gamberger; Goran Krstaçic; Alan Jovic (EFMI-STC, 2013)

Multilayer Clustering: A Discovery Experiment on Country Level Trading Data. - Dragan Gamberger; Matej Mihelcic; Nada Lavrac (Discovery Science, 2014)

Ensemble-based noise detection: noise ranking and visual performance evaluation. - Borut Sluban; Dragan Gamberger; Nada Lavrac (Data Min. Knowl. Discov., 2014)

Identification of Gender Specific Biomarkers for Alzheimer's Disease. - Dragan Gamberger; Bernard Zenko; Alexis Mitelpunkt; Nada Lavrac (BIH, 2015)

Multilayer Clustering: Biomarker Driven Segmentation of Alzheimer's Disease Patient Population. - Dragan Gamberger; Bernard Zenko; Alexis Mitelpunkt; Nada Lavrac (IWBBIO (1), 2015)

Clusters of male and female Alzheimer's disease patients in the Alzheimer's Disease Neuroimaging Initiative (ADNI) database. - Dragan Gamberger; Bernard Zenko; Alexis Mitelpunkt; Netta Shachar; Nada Lavrac (Brain Informatics, 2016)

Discovery of Relevant Response in Infected Potato Plants from Time Series of Gene Expression Data. - Dragan Gamberger; Tjasa Stare; Dragana Miljkovic; Kristina Gruden; Nada Lavrac (Mach. Learn. Knowl. Extr., 2019)