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Dr. Tomislav Šmuc

predstojnik zavoda znanstveni savjetnik u trajnom izboru
E-mail
Telephone
+385 1 456 1085
Mobile
098/186-9605
Internal phone number
1485
Curriculum vitae

Education

PhD - Electrical engineering, 1994, Faculty of Electrical Engineering, University of Zagreb.

MSc - Electrical Engineering 1991, Faculty of Electrical Engineering, University of Zagreb.

BSc - Electrical Engineering 1986, Faculty of Electrical Engineering, University of Zagreb.

Research Areas

Specific research interests

Projects

  • MAESTRA - Learning from Massive, Incompletely Annotated, and Structured Data, FP7 FET project, WP leader
  • MultiPlex - FP7 FET project, RBI group leader
  • FOC-II - FP7 FET project, RBI group leader
  • eLICO - FP7 STREP, WP leader
  • HEARTFAID - FP7 STREP, collaborator

Classes

Machine Learning (Division of Mathematics, Faculty of Science,  University of Zagreb)

Publications

Books and book chapters

Book chapters

  • Mihelčić, M. & Šmuc, T. (2023) Rules, Subgroups and Redescriptions as Features in Classification Tasks. U: Koprinska, I., Mignone, P., Guidotti Riccardo, Jaroszewicz, S., Froning, H., Gullo, F., Ferreira, M. & Roqueiro, D. (ur.) Machine Learning and Principles and Practice of Knowledge Discovery in Databases. International Workshops of ECML PKDD 2022.. Cham, Springer, str. 248-260 doi:10.1007/978-3-031-23618-1_17.

    doi
  • Mihelčić, M., Džeroski, S. & Šmuc, T. (2018) Extending Redescription Mining to Multiple Views. U: Soldatova, L., Vanschoren, J., Papadopoulos, G. & Ceci, M. (ur.) 21st International Conference, DS 2018, Limassol, Cyprus, October 29–31, 2018, Proceedings. Cham, Springer, str. 292-307 doi:10.1007/978-3-030-01771-2_19.

    doi
  • Supek, F. & Šmuc, T. (2011) Distance Measures and Machine Learning Approaches for Codon Usage Analyses. U: Cannarozzi, G. & Schneider, A. (ur.) Codon Evolution - Mechanisms and Models. Oxford, Oxford University Press, str. 229-244. (https://www.bib.irb.hr/533269).

  • Trontl, K., Šmuc, T. & Pevec, D. (2010) Learning Support Vector Regression Models for Fast Radiation Dose Rate. U: Peters, H. & Vogel, M. (ur.) Machine Learning Research Progress. New York (NY), Nova Science Publishers, str. 427-462.

  • Kašner, M., Jelaković, B., Laganović, M., Željković, T., Kuzmanić, D., Boršo, G., Šmuc, T., Gamberger, D. & Rončević, P. (2003) Serum uric-acid is related to metabolic disturbance and associated to serum aldosterone in essential hypertension. U: Lewis, B., Halon, D., Flugelman, M. & Gensini, G. (ur.) Frontiers in Coronary Artery Disease : Proceedings of the 5th International Congress on Coronary Artery Disease. Bolonja, Monduzzi Editore, str. 457-460.

Journal articles

Scientific and review papers

Conference proceedings papers

Scientific conference proceedings papers

Membership in professional associations / societies

IEEE Computer Society

ENS - European Nuclear Society

HNS - Croatian Nucelar Society

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