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    Author information
    First name: Dragan
    Last name: Gamberger
    DBLP: 33/1219
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    Below you find the publications which have been written by this author.

    Show item 1 to 47 of 47  
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    Journal article
    Borut Sluban, Dragan Gamberger, Nada Lavrac.
    Ensemble-based noise detection: noise ranking and visual performance evaluation.
    Data Min. Knowl. Discov. 2014, Volume 28 (0) 2014
    Conference paper
    Dragan Gamberger, Matej Mihelcic, Nada Lavrac.
    Multilayer Clustering: A Discovery Experiment on Country Level Trading Data.
    Discovery Science - 17th International Conference, DS 2014, Bled, Slovenia, October 8-10, 2014. Proceedings 2014 (0) 2014
    Conference paper
    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.
    Med. Biol. Engineering and Computing 2012, Volume 50 (0) 2012
    Conference paper
    Dragan Gamberger, Drazen Lucanin, Tomislav Smuc.
    Descriptive Modeling of Systemic Banking Crises.
    Discovery Science - 15th International Conference, DS 2012, Lyon, France, October 29-31, 2012. Proceedings 2012 (0) 2012
    Journal article
    Dragan Gamberger, Nada Lavrac.
    Expert-Guided Subgroup Discovery: Methodology and Application
    CoRR 2011, Volume 0 (0) 2011
    Conference paper
    Borut Sluban, Dragan Gamberger, Nada Lavrac.
    Advances in Class Noise Detection.
    ECAI 2010 - 19th European Conference on Artificial Intelligence, Lisbon, Portugal, August 16-20, 2010, Proceedings 2010 (0) 2010
    Conference paper
    Marin Prcela, Dragan Gamberger, Tomislav Smuc, Nikola Bogunovic.
    Information Gain of Structured Medical Diagnostic Tests - Integration of Bayesian Networks and Ontologies.
    HEALTHINF 2010 - Proceedings of the Third International Conference on Health Informatics, Valencia, Spain, January 20-23, 2010 2010 (0) 2010
    Conference paper
    Borut Sluban, Dragan Gamberger, Nada Lavrac.
    Performance Analysis of Class Noise Detection Algorithms.
    STAIRS 2010 - Proceedings of the Fifth Starting AI Researchers' Symposium, Lisbon, Portugal, 16-20 August, 2010 2010 (0) 2010
    Book chapter
    Nada Lavrac, Johannes Fürnkranz, Dragan Gamberger.
    Explicit Feature Construction and Manipulation for Covering Rule Learning Algorithms.
    Advances in Machine Learning I: Dedicated to the Memory of Professor Ryszard S. Michalski 2010, Volume 262 (0) 2010
    Conference paper
    Petra Kralj Novak, Nada Lavrac, Dragan Gamberger, Antonija Krstacic.
    CSM-SD: Methodology for contrast set mining through subgroup discovery.
    Journal of Biomedical Informatics 2009, Volume 42 (0) 2009
    Conference paper
    Dragan Gamberger, Nada Lavrac, Johannes Fürnkranz.
    Handling Unknown and Imprecise Attribute Values in Propositional Rule Learning: A Feature-Based Approach.
    PRICAI 2008: Trends in Artificial Intelligence, 10th Pacific Rim International Conference on Artificial Intelligence, Hanoi, Vietnam, December 15-19, 2008. Proceedings 2008 (0) 2008
    Conference paper
    Dragan Gamberger, Marin Prcela, Alan Jovic, Tomislav Smuc, Ganfranco Parati, Mariaconsuelo Valentini, Kalina Kawecka-Jaszcz, Katarzyna Styczkiewicz, Andrzej A. Kononowicz, Antonio Candelieri, Domenico Conforti, Rosita Guido.
    Medical Knowledge Representation within Heartfaid Platform.
    Proceedings of the First International Conference on Health Informatics, HEALTHINF 2008, Funchal, Madeira, Portugal, January 28-31, 2008, Volume 1 2008 (0) 2008
    Conference paper
    Marin Prcela, Dragan Gamberger, Alan Jovic.
    Semantic Web Ontology Utilization for Heart Failure Expert System Design.
    eHealth Beyond the Horizon - Get IT There, Proceedings of MIE2008, The XXIst International Congress of the European Federation for Medical Informatics, Göteborg, Sweden, May 25-28, 2008 2008 (0) 2008
    Conference paper
    Dragan Gamberger, Nada Lavrac.
    Supporting Factors in Descriptive Analysis of Brain Ischaemia.
    Artificial Intelligence in Medicine, 11th Conference on Artificial Intelligence in Medicine, AIME 2007, Amsterdam, The Netherlands, July 7-11, 2007, Proceedings 2007 (0) 2007
    Conference paper
    Petra Kralj Novak, Nada Lavrac, Dragan Gamberger, Antonija Krstacic.
    Contrast Set Mining for Distinguishing Between Similar Diseases.
    Artificial Intelligence in Medicine, 11th Conference on Artificial Intelligence in Medicine, AIME 2007, Amsterdam, The Netherlands, July 7-11, 2007, Proceedings 2007 (0) 2007
    Conference paper
    Petra Kralj Novak, Nada Lavrac, Dragan Gamberger, Antonija Krstacic.
    Contrast Set Mining Through Subgroup Discovery Applied to Brain Ischaemina Data.
    Advances in Knowledge Discovery and Data Mining, 11th Pacific-Asia Conference, PAKDD 2007, Nanjing, China, May 22-25, 2007, Proceedings 2007 (0) 2007
    Conference paper
    Dragan Gamberger, Nada Lavrac, Antonija Krstacic, Goran Krstacic.
    Clinical data analysis based on iterative subgroup discovery: experiments in brain ischaemia data analysis.
    Appl. Intell. 2007, Volume 27 (0) 2007
    Conference paper
    Nada Lavrac, Dragan Gamberger.
    Relevancy in Constraint-Based Subgroup Discovery.
    Constraint-Based Mining and Inductive Databases, European Workshop on Inductive Databases and Constraint Based Mining, Hinterzarten, Germany, March 11-13, 2004, Revised Selected Papers 2005 (0) 2004
    Conference paper
    Dragan Gamberger, Nada Lavrac.
    Avoiding Data Overfitting in Scientific Discovery: Experiments in Functional Genomics.
    Proceedings of the 16th Eureopean Conference on Artificial Intelligence, ECAI'2004, including Prestigious Applicants of Intelligent Systems, PAIS 2004, Valencia, Spain, August 22-27, 2004 2004 (0) 2004
    Conference paper
    Dragan Gamberger, Nada Lavrac, Filip Zelezný, Jakub Tolar.
    Induction of comprehensible models for gene expression datasets by subgroup discovery methodology.
    Journal of Biomedical Informatics 2004, Volume 37 (0) 2004
    Conference paper
    Nada Lavrac, Bojan Cestnik, Dragan Gamberger, Peter A. Flach.
    Decision Support Through Subgroup Discovery: Three Case Studies and the Lessons Learned.
    Machine Learning 2004, Volume 57 (0) 2004
    Conference paper
    Dragan Gamberger, Nada Lavrac.
    Analysis of Gene Expression Data by the Logic Minimization Approach.
    Artificial Intelligence in Medicine, 9th Conference on Artificial Intelligence in Medicine in Europe, AIME 2003, Protaras, Cyprus, October 18-22, 2003, Proceedings 2003 (0) 2003
    Conference paper
    Dragan Gamberger, Nada Lavrac.
    Active subgroup mining: a case study in coronary heart disease risk group detection.
    Artificial Intelligence in Medicine 2003, Volume 28 (0) 2003
    Conference paper
    Dragan Gamberger, Nada Lavrac.
    Descriptive Induction through Subgroup Discovery: A Case Study in a Medical Domain.
    Machine Learning, Proceedings of the Nineteenth International Conference (ICML 2002), University of New South Wales, Sydney, Australia, July 8-12, 2002 2002 (0) 2002
    Conference paper
    Dragan Gamberger, Nada Lavrac.
    Generating Actionable Knowledge by Expert-Guided Subgroup Discovery.
    Principles of Data Mining and Knowledge Discovery, 6th European Conference, PKDD 2002, Helsinki, Finland, August 19-23, 2002, Proceedings 2002 (0) 2002
    Conference paper
    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 2002, Volume 12 (0) 2002
    Conference paper
    Dragan Gamberger, Nada Lavrac.
    Expert-Guided Subgroup Discovery: Methodology and Application.
    J. Artif. Intell. Res. (JAIR) 2002, Volume 17 (0) 2002
    Conference paper
    Goran Krstacic, Dragan Gamberger, Tomislav Smuc.
    Coronary Heart Disease Patient Models Based on Inductive Machine Learning.
    Artificial Intelligence Medicine, 8th Conference on AI in Medicine in Europe, AIME 2001, Cascais, Portugal, July 1-4, 2001, Proceedings 2001 (0) 2001
    Conference paper
    Tomislav Smuc, Dragan Gamberger, Goran Krstacic.
    Combining Unsupervised and Supervised Machine Learning.
    Artificial Intelligence Medicine, 8th Conference on AI in Medicine in Europe, AIME 2001, Cascais, Portugal, July 1-4, 2001, Proceedings 2001 (0) 2001
    Conference paper
    Dragan Gamberger, Goran Krstacic, Tomislav Smuc.
    Medical Expert Evaluation of Machine Learning Results for a Coronary Heart Disease Database.
    Medical Data Analysis, First International Symposium, ISMDA 2000, Frankfurt, Germany, September 29-30, 2000, Proceedings 2000 (0) 2000
    Conference paper
    Dragan Gamberger, Nada Lavrac, Goran Krstacic, Tomislav Smuc.
    Inconsistency Tests for Patient Records in a Coronary Heart Disease Database.
    Medical Data Analysis, First International Symposium, ISMDA 2000, Frankfurt, Germany, September 29-30, 2000, Proceedings 2000 (0) 2000
    Conference paper
    Dragan Gamberger, Nada Lavrac.
    Confirmation Rule Sets.
    Principles of Data Mining and Knowledge Discovery, 4th European Conference, PKDD 2000, Lyon, France, September 13-16, 2000, Proceedings 2000 (0) 2000
    Conference paper
    Dragan Gamberger, Nada Lavrac, Saso Dzeroski.
    Noise Detection and Elimination in data Proprocessing: Experiments in Medical Domains.
    Applied Artificial Intelligence 2000, Volume 14 (0) 2000
    Conference paper
    Dragan Gamberger, Nada Lavrac, Ciril Groselj.
    Diagnostic Rules of Increased Reliability for Critical Medical Applications.
    Artificial Intelligence in Medicine. Joint European Conference on Artificial Intelligence in Medicine and Medical Decision Making, AIMDM'99, Aalborg, Denmark, June 1999, Proceedings 1999 (0) 1999
    Conference paper
    Dragan Gamberger, Nada Lavrac, Ciril Groselj.
    Experiments with Noise Filtering in a Medical Domain.
    Proceedings of the Sixteenth International Conference on Machine Learning (ICML 1999), Bled, Slovenia, June 27 - 30, 1999 1999 (0) 1999
    Conference paper
    Nada Lavrac, Dragan Gamberger, Viktor Jovanoski.
    A Study of Relevance for Learning in Deductive Databases.
    J. Log. Program. 1999, Volume 40 (0) 1999
    Conference paper
    Nada Lavrac, Dragan Gamberger, Peter D. Turney.
    A Relevancy Filter for Constructive Induction.
    IEEE Intelligent Systems 1998, Volume 13 (0) 1998
    Conference paper
    Dragan Gamberger, Nada Lavrac.
    Conditions for Occam's Razor Applicability and Noise Elimination.
    Machine Learning: ECML-97, 9th European Conference on Machine Learning, Prague, Czech Republic, April 23-25, 1997, Proceedings 1997 (0) 1997
    Conference paper
    Dragan Gamberger, Nada Lavrac, Saso Dzeroski.
    Noise Elimination in Inductive Concept Learning: A Case Study in Medical Diagnosois.
    Algorithmic Learning Theory, 7th International Workshop, ALT '96, Sydney, Australia, October 23-25, 1996, Proceedings 1996 (0) 1996
    Conference paper
    Nada Lavrac, Dragan Gamberger, Peter D. Turney.
    Cost-Sensitive Feature Reduction Applied to a Hybrid Genetic Algorithm.
    Algorithmic Learning Theory, 7th International Workshop, ALT '96, Sydney, Australia, October 23-25, 1996, Proceedings 1996 (0) 1996
    Conference paper
    Dragan Gamberger, Nada Lavrac.
    Noise Detection and Elimination Applied to Noise Handling in a KRK Chess Endgame.
    Inductive Logic Programming, 6th International Workshop, ILP-96, Stockholm, Sweden, August 26-28, 1996, Selected Papers 1997 (0) 1996
    Conference paper
    Dragan Gamberger.
    Inductively Learned Rule for Breast Cancer Domain with Improved Interobserver Reproductibility.
    Artificial Intelligence Medicine, 5th Conference on Artificial Intelligence in Medicine in Europe, AIME'95, Pavia, Italy, June 25-28, 1995, Proceedings 1995 (0) 1995
    Conference paper
    Dragan Gamberger.
    A Minimization Approach to Propositional Inductive Learning.
    Machine Learning: ECML-95, 8th European Conference on Machine Learning, Heraclion, Crete, Greece, April 25-27, 1995, Proceedings 1995 (0) 1995
    Conference paper
    Dragan Gamberger, Sanja Sekusak, Aleksandar Sabljic.
    Modelling Biodegradation by an Example-Based Learning System.
    Informatica (Slovenia) 1993, Volume 17 (0) 1993
    Conference paper
    Dragan Gamberger.
    New approach to integer division in residue number systems.
    10th IEEE Symposium on Computer Arithmetic, ARITH 1991, Grenoble, France, June 26-28, 1991 1991 (0) 1991
    Conference paper
    Dragan Gamberger.
    Incompletely specified numbers in the residue number system-definition and applications.
    9th Symposium on Computer Arithmetic, ARITH 1989, Santa Monica, CA, USA, September 6-8, 1989 1989 (0) 1989
    Conference paper
    Dragan Gamberger.
    High-Speed Routing Algorithms Based on Integer Residue Number Arithmetic.
    ICCC 1986 (0) 1986
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    Your query returned 47 matches in the database.