Dragan Gamberger

Publication Activity (10 Years)

Years Active: 1986-2019
Publications (10 Years): 2

Top Topics

Clinical Studies

Heart Rate Variability

Gene Expression

Caudate Nucleus

Top Venues

Discovery Science

Medical Biol. Eng. Comput.

Publications

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) (2019)
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) (2016)
Dragan Gamberger, Bernard Zenko, Alexis Mitelpunkt, Nada Lavrac
Multilayer Clustering: Biomarker Driven Segmentation of Alzheimer's Disease Patient Population. IWBBIO (1) (2015)
Dragan Gamberger, Bernard Zenko, Alexis Mitelpunkt, Nada Lavrac
Identification of Gender Specific Biomarkers for Alzheimer's Disease. BIH (2015)
Dragan Gamberger, Matej Mihelcic, Nada Lavrac
Multilayer Clustering: A Discovery Experiment on Country Level Trading Data. Discovery Science (2014)
Borut Sluban, Dragan Gamberger, Nada Lavrac
Ensemble-based noise detection: noise ranking and visual performance evaluation. Data Min. Knowl. Discov. 28 (2) (2014)
Dragan Gamberger, Goran Krstaçic, Alan Jovic
A Novel Way of Integrating Rule-Based Knowledge into a Web Ontology Language Framework. EFMI-STC (2013)
Dragan Gamberger, Drazen Lucanin, Tomislav Smuc
Descriptive Modeling of Systemic Banking Crises. Discovery Science (2012)
Goran Krstacic, Gianfranco Parati, Dragan Gamberger, Paolo Castiglioni, Antonija Krstacic, Robert Steiner
Heart rate variability and nonlinear dynamic analysis in patients with stress-induced cardiomyopathy. Medical Biol. Eng. Comput. 50 (10) (2012)
Dragan Gamberger, Nada Lavrac
Expert-Guided Subgroup Discovery: Methodology and Application CoRR (2011)
Alan Jovic, Dragan Gamberger, Goran Krstacic
Heart failure ontology. Bio Algorithms Med Syst. 7 (2) (2011)
Borut Sluban, Dragan Gamberger, Nada Lavrac
Performance Analysis of Class Noise Detection Algorithms. STAIRS (2010)
Borut Sluban, Dragan Gamberger, Nada Lavrac
Advances in Class Noise Detection. ECAI (2010)
Marin Prcela, Dragan Gamberger, Tomislav Smuc, Nikola Bogunovic
Information Gain of Structured Medical Diagnostic Tests - Integration of Bayesian Networks and Ontologies. HEALTHINF (2010)
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) (2009)
Petra Kralj Novak, Nada Lavrac, Dragan Gamberger, Antonija Krstacic
CSM-SD: Methodology for contrast set mining through subgroup discovery. J. Biomed. Informatics 42 (1) (2009)
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)
Dragan Gamberger, Nada Lavrac, Johannes Fürnkranz
Handling Unknown and Imprecise Attribute Values in Propositional Rule Learning: A Feature-Based Approach. PRICAI (2008)
Dragan Gamberger, Marin Prcela, Matko Bosnjak
Attribute ranking for intelligent data analysis in medical applications. ITI (2008)
Marin Prcela, Dragan Gamberger, Alan Jovic
Semantic Web Ontology Utilization for Heart Failure Expert System Design. MIE (2008)
Petra Kralj, Nada Lavrac, Dragan Gamberger, Antonija Krstacic
Contrast Set Mining for Distinguishing Between Similar Diseases. AIME (2007)
Dragan Gamberger, Nada Lavrac
Supporting Factors in Descriptive Analysis of Brain Ischaemia. AIME (2007)
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) (2007)
Petra Kralj, Nada Lavrac, Dragan Gamberger, Antonija Krstacic
Contrast Set Mining Through Subgroup Discovery Applied to Brain Ischaemina Data. PAKDD (2007)
Dragan Gamberger, Nada Lavrac, Filip Zelezný, Jakub Tolar
Induction of comprehensible models for gene expression datasets by subgroup discovery methodology. J. Biomed. Informatics 37 (4) (2004)
Dragan Gamberger, Nada Lavrac
Avoiding Data Overfitting in Scientific Discovery: Experiments in Functional Genomics. ECAI (2004)
Nada Lavrac, Dragan Gamberger
Relevancy in Constraint-Based Subgroup Discovery. Constraint-Based Mining and Inductive Databases (2004)
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) (2004)
Dragan Gamberger, Nada Lavrac
Active subgroup mining: a case study in coronary heart disease risk group detection. Artif. Intell. Medicine 28 (1) (2003)
Dragan Gamberger, Nada Lavrac
Analysis of Gene Expression Data by the Logic Minimization Approach. AIME (2003)
Dragan Gamberger, Nada Lavrac
Generating Actionable Knowledge by Expert-Guided Subgroup Discovery. PKDD (2002)
Dragan Gamberger, Nada Lavrac
Descriptive Induction through Subgroup Discovery: A Case Study in a Medical Domain. ICML (2002)
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) (2002)
Dragan Gamberger, Nada Lavrac
Expert-Guided Subgroup Discovery: Methodology and Application. J. Artif. Intell. Res. 17 (2002)
Goran Krstacic, Dragan Gamberger, Tomislav Smuc
Coronary Heart Disease Patient Models Based on Inductive Machine Learning. AIME (2001)
Tomislav Smuc, Dragan Gamberger, Goran Krstacic
Combining Unsupervised and Supervised Machine Learning. AIME (2001)
Dragan Gamberger, Nada Lavrac
Confirmation Rule Sets. PKDD (2000)
Dragan Gamberger, Goran Krstacic, Tomislav Smuc
Medical Expert Evaluation of Machine Learning Results for a Coronary Heart Disease Database. ISMDA (2000)
Dragan Gamberger, Nada Lavrac, Goran Krstacic, Tomislav Smuc
Inconsistency Tests for Patient Records in a Coronary Heart Disease Database. ISMDA (2000)
Dragan Gamberger, Nada Lavrac, Saso Dzeroski
Noise Detection and Elimination in data Proprocessing: Experiments in Medical Domains. Appl. Artif. Intell. 14 (2) (2000)
Dragan Gamberger, Nada Lavrac, Ciril Groselj
Diagnostic Rules of Increased Reliability for Critical Medical Applications. AIMDM (1999)
Dragan Gamberger, Nada Lavrac, Ciril Groselj
Experiments with Noise Filtering in a Medical Domain. ICML (1999)
Nada Lavrac, Dragan Gamberger, Viktor Jovanoski
A Study of Relevance for Learning in Deductive Databases. J. Log. Program. 40 (2-3) (1999)
Nada Lavrac, Dragan Gamberger, Peter D. Turney
A Relevancy Filter for Constructive Induction. IEEE Intell. Syst. 13 (2) (1998)
Dragan Gamberger, Nada Lavrac
Conditions for Occam's Razor Applicability and Noise Elimination. ECML (1997)
Dragan Gamberger, Nada Lavrac
Noise Detection and Elimination Applied to Noise Handling in a KRK Chess Endgame. Inductive Logic Programming Workshop (1996)
Dragan Gamberger, Nada Lavrac, Saso Dzeroski
Noise Elimination in Inductive Concept Learning: A Case Study in Medical Diagnosois. ALT (1996)
Nada Lavrac, Dragan Gamberger, Peter D. Turney
Cost-Sensitive Feature Reduction Applied to a Hybrid Genetic Algorithm. ALT (1996)
Dragan Gamberger
Inductively Learned Rule for Breast Cancer Domain with Improved Interobserver Reproductibility. AIME (1995)
Dragan Gamberger
A Minimization Approach to Propositional Inductive Learning. ECML (1995)
Dragan Gamberger, Sanja Sekusak, Aleksandar Sabljic
Modelling Biodegradation by an Example-Based Learning System. Informatica (Slovenia) 17 (2) (1993)
Dragan Gamberger
New approach to integer division in residue number systems. IEEE Symposium on Computer Arithmetic (1991)
Dragan Gamberger
Incompletely specified numbers in the residue number system-definition and applications. IEEE Symposium on Computer Arithmetic (1989)
Dragan Gamberger
High-Speed Routing Algorithms Based on Integer Residue Number Arithmetic. ICCC (1986)