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