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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
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