Dragan Gamberger

Orcid: 0000-0002-9008-6156

According to our database1, Dragan Gamberger authored at least 55 papers between 1986 and 2019.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2019
Discovery of Relevant Response in Infected Potato Plants from Time Series of Gene Expression Data.
Mach. Learn. Knowl. Extr., 2019

2016
Clusters of male and female Alzheimer's disease patients in the Alzheimer's Disease Neuroimaging Initiative (ADNI) database.
Brain Informatics, 2016

2015
Multilayer Clustering: Biomarker Driven Segmentation of Alzheimer's Disease Patient Population.
Proceedings of the Bioinformatics and Biomedical Engineering, 2015

Identification of Gender Specific Biomarkers for Alzheimer's Disease.
Proceedings of the Brain Informatics and Health - 8th International Conference, 2015

2014
Ensemble-based noise detection: noise ranking and visual performance evaluation.
Data Min. Knowl. Discov., 2014

Multilayer Clustering: A Discovery Experiment on Country Level Trading Data.
Proceedings of the Discovery Science - 17th International Conference, 2014

2013
A Novel Way of Integrating Rule-Based Knowledge into a Web Ontology Language Framework.
Proceedings of the Data and Knowledge for Medical Decision Support, 2013

2012
Foundations of Rule Learning
Cognitive Technologies, Springer, ISBN: 978-3-540-75196-0, 2012

Heart rate variability and nonlinear dynamic analysis in patients with stress-induced cardiomyopathy.
Medical Biol. Eng. Comput., 2012

Descriptive Modeling of Systemic Banking Crises.
Proceedings of the Discovery Science - 15th International Conference, 2012

2011
Heart failure ontology.
Bio Algorithms Med Syst., 2011

2010
Explicit Feature Construction and Manipulation for Covering Rule Learning Algorithms.
Proceedings of the Advances in Machine Learning I: Dedicated to the Memory of Professor Ryszard S. Michalski, 2010

Performance Analysis of Class Noise Detection Algorithms.
Proceedings of the STAIRS 2010, 2010

Advances in Class Noise Detection.
Proceedings of the ECAI 2010, 2010

Information Gain of Structured Medical Diagnostic Tests - Integration of Bayesian Networks and Ontologies.
Proceedings of the HEALTHINF 2010, 2010

2009
CSM-SD: Methodology for contrast set mining through subgroup discovery.
J. Biomed. Informatics, 2009

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., 2009

2008
Handling Unknown and Imprecise Attribute Values in Propositional Rule Learning: A Feature-Based Approach.
Proceedings of the PRICAI 2008: Trends in Artificial Intelligence, 2008

Semantic Web Ontology Utilization for Heart Failure Expert System Design.
Proceedings of the eHealth Beyond the Horizon, 2008

Attribute ranking for intelligent data analysis in medical applications.
Proceedings of the ITI 2008 30th International Conference on Information Technology Interfaces, 2008

Medical Knowledge Representation within Heartfaid Platform.
Proceedings of the First International Conference on Health Informatics, 2008

2007
Clinical data analysis based on iterative subgroup discovery: experiments in brain ischaemia data analysis.
Appl. Intell., 2007

Contrast Set Mining Through Subgroup Discovery Applied to Brain Ischaemina Data.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2007

Contrast Set Mining for Distinguishing Between Similar Diseases.
Proceedings of the Artificial Intelligence in Medicine, 2007

Supporting Factors in Descriptive Analysis of Brain Ischaemia.
Proceedings of the Artificial Intelligence in Medicine, 2007

2004
Decision Support Through Subgroup Discovery: Three Case Studies and the Lessons Learned.
Mach. Learn., 2004

Induction of comprehensible models for gene expression datasets by subgroup discovery methodology.
J. Biomed. Informatics, 2004

Avoiding Data Overfitting in Scientific Discovery: Experiments in Functional Genomics.
Proceedings of the 16th Eureopean Conference on Artificial Intelligence, 2004

Relevancy in Constraint-Based Subgroup Discovery.
Proceedings of the Constraint-Based Mining and Inductive Databases, 2004

2003
Active subgroup mining: a case study in coronary heart disease risk group detection.
Artif. Intell. Medicine, 2003

Analysis of Gene Expression Data by the Logic Minimization Approach.
Proceedings of the Artificial Intelligence in Medicine, 2003

2002
Confirmation rule induction and its applications to coronary heart disease diagnosis and risk group discovery.
J. Intell. Fuzzy Syst., 2002

Expert-Guided Subgroup Discovery: Methodology and Application.
J. Artif. Intell. Res., 2002

Generating Actionable Knowledge by Expert-Guided Subgroup Discovery.
Proceedings of the Principles of Data Mining and Knowledge Discovery, 2002

Descriptive Induction through Subgroup Discovery: A Case Study in a Medical Domain.
Proceedings of the Machine Learning, 2002

2001
Combining Unsupervised and Supervised Machine Learning.
Proceedings of the Artificial Intelligence Medicine, 2001

Coronary Heart Disease Patient Models Based on Inductive Machine Learning.
Proceedings of the Artificial Intelligence Medicine, 2001

2000
Noise Detection and Elimination in data Proprocessing: Experiments in Medical Domains.
Appl. Artif. Intell., 2000

Confirmation Rule Sets.
Proceedings of the Principles of Data Mining and Knowledge Discovery, 2000

Inconsistency Tests for Patient Records in a Coronary Heart Disease Database.
Proceedings of the Medical Data Analysis, First International Symposium, 2000

Medical Expert Evaluation of Machine Learning Results for a Coronary Heart Disease Database.
Proceedings of the Medical Data Analysis, First International Symposium, 2000

1999
A Study of Relevance for Learning in Deductive Databases.
J. Log. Program., 1999

Experiments with Noise Filtering in a Medical Domain.
Proceedings of the Sixteenth International Conference on Machine Learning (ICML 1999), Bled, Slovenia, June 27, 1999

Diagnostic Rules of Increased Reliability for Critical Medical Applications.
Proceedings of the Artificial Intelligence in Medicine. Joint European Conference on Artificial Intelligence in Medicine and Medical Decision Making, 1999

1998
A Relevancy Filter for Constructive Induction.
IEEE Intell. Syst., 1998

1997
Conditions for Occam's Razor Applicability and Noise Elimination.
Proceedings of the Machine Learning: ECML-97, 1997

1996
Noise Detection and Elimination Applied to Noise Handling in a KRK Chess Endgame.
Proceedings of the Inductive Logic Programming, 6th International Workshop, 1996

Cost-Sensitive Feature Reduction Applied to a Hybrid Genetic Algorithm.
Proceedings of the Algorithmic Learning Theory, 7th International Workshop, 1996

Noise Elimination in Inductive Concept Learning: A Case Study in Medical Diagnosois.
Proceedings of the Algorithmic Learning Theory, 7th International Workshop, 1996

1995
A Minimization Approach to Propositional Inductive Learning.
Proceedings of the Machine Learning: ECML-95, 1995

Inductively Learned Rule for Breast Cancer Domain with Improved Interobserver Reproductibility.
Proceedings of the Artificial Intelligence Medicine, 1995

1993
Modelling Biodegradation by an Example-Based Learning System.
Informatica (Slovenia), 1993

1991
New approach to integer division in residue number systems.
Proceedings of the 10th IEEE Symposium on Computer Arithmetic, 1991

1989
Incompletely specified numbers in the residue number system-definition and applications.
Proceedings of the 9th Symposium on Computer Arithmetic, 1989

1986
High-Speed Routing Algorithms Based on Integer Residue Number Arithmetic.
Proceedings of the New Communication Services: A Challenge to Computer Technology, 1986


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