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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.

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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
    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
    Show item 1 to 25 of 46  

    Your query returned 46 matches in the database.