Dragan Gamberger

External collaborator at Rudjer Bošković Institute , Zagreb, Croatia

Contact: dragan.gamberger AT irb.hr
or
dragan.gamberger AT gmail.com

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Short CV
List of publications (1993-2020)
bib.irb.hr for D.Gamberger
Scopus ID 7004352584
ORCID 0000-0002-9008-6156

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Novel machine learning tools implemented as public web applications

• Exploratory Clustering (unsupervised clustering and feature selection)
• Random Rules (supervised classification)
• Data Mining Server (supervised subgroup discovery)

Book: Foundations of Rule Learnig
by J.Fuernkranz, D.Gamberger, and N.Lavrac

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Recent publications

• Gamberger, D., Stare, T., Miljkovic,, D., Gruden, K., Lavrac, N. (2019) Discovery of relevant response in infected potato plants from time series of gene expression data . Machine Learning and Knowledge Extratraction 1(1): 400-413.
• Gamberger, D., Lavrac, N., Srivatsa, S., Tanzi, R. E., Doraiswamy, P. M. (2017) Identification of clusters of rapid and slow decliners among subjects at risk for Alzheimers disease. Scientfic Reports 7:6763-1-6763-12
• Gamberger, D., Zenko, B., Lavrac, N. (2017) Exploratory Clustering for Patient Subpopulation Discovery. In Proc. of EFMI 2017: Informatics for Health: Connected Citizen-Led Wellness and Population Health, pp.101-105.
• Gamberger, D., Zenko, B., Mitelpunkt, A., Lavrac, N. (2016) Homogeneous clusters of Alzheimer’s disease patient population. BioMedical Engineering OnLine, 15(Suppl 1):78.
• Gamberger, D., Zenko, B., Mitelpunkt, A., Schachar, N., Lavrac, N. (2016) Clusters of male and female Alzheimer’s disease patients in the Alzheimer’s Disease Neuroimaging Initiative (ADNI) database. Brain Informatics, web publication.
• Gamberger, D., Zenko, B., Mitelpunkt, A., Lavrac, N.(2015) Identification of gender specific biomarkers for Alzheimer's disease. In Proc. of Brain Informatics and Health, BIH 2015, pp.57-66.
• Gamberger, D., Zenko, B., Mitelpunkt, A., Lavrac, N.(2015) Multilayer clustering: Biomarker driven segmentation of Alzheimer's disease patient population. Proceedings of Int. Work-Conference on Bioinformatics and Biomedical Engineering, IWBBIO 2015, pp.134-145.
• Rios-Morales, R., Gamberger, D., Brennan, L., Sweitzer, M. (2014) Ex-ante assessment of an EU-China free trade agreement. In Proceedings, Vrontis, Weber, Tsoukatos (Eds.), 7th EuroMed Conference - The Future of Entrepreneurship, Kristiansand, Norway. EuroMed Press.
• Gamberger, D., Mihelcic, M., Lavrac, N. (2014) Multilayer clustering: A discovery experiment on country level trading data. . Discovery Science 2014 Conference Proceedings, Springer, pp 87-98 .
• Sluban, B., Gamberger, D., Lavrac, N. (2014) Ensemble-based noise detection: noise ranking and visual performance evaluation.. Data Mining and Knowledge Discovery, 28:265-303.

Previous projects

• "Machine learning algorithms for insightful analysis of complex data structures" (Croatian Science Foundation) 2014-2016, project leader
• "Machine Learning Algorithms and their Applications" (Croatian national project) 2007-2011, project leader
• "Computational Knowledge Discovery in Scientific Applications" (Croatian national program) 2007-2011, program leader
• European FP7 project “Learning from massive, incompletely annotated, and structured data” 2014-2017, researcher