Tomislav Šmuc

Tomislav Šmuc

PhD

Senior scientist
+385 1 456 1085

1485

+38514680114

0981869605

Krilo 1/105

Bijenička 54. Zagreb

Euro_CV_Tomislav_Smuc_Short_2017.pdf 500.25 kB

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.

Projects

  • MAESTRA - Learning from Massive, Incompletely Annotated, and Structured Data, FP7 FET project

Classes

Machine Learning (Faculty of Mathematics, University of Zagreb)

Featured Publications

  1. M. Mihelčić, N. Lavrač, S. Džeroski, T. Šmuc, (2017) A framework for redescription set construction, Expert Systems With Applications 68 196–215.
  2. Maria Brbić, Matija Piškorec, Vedrana Vidulin, Anita Kriško, Tomislav Šmuc and Fran Supek, (2016), The landscape of microbial phenotypic traits and associated genes, Nucleic acids research (0305-1048) 
  3. Vedrana Vidulin, Tomislav Šmuc, Fran Supek, (2016). Extensive Complementarity between Gene Function Prediction Methods, Bioinformatics, Bioinformatics, 1367-4803.
  4. Supek, F; Škunca, N; Repar, J; Vlahoviček, K; Šmuc,T. “Translational Selection Is Ubiquitous in Prokaryotes”, PLOS Genetics, 6 (6): Art. No. e1001004 JUN 2010.
  5. Supek, F; Šmuc, T, “On Relevance of Codon Usage to Expression of Synthetic and Natural Genes in Escherichia coli”, Genetics, 185 (3): 1129-1134 JUL 2010.
  6. Gredičak, M; Supek, F; Kralj, M, Majer, Z; Hollosi, M; Šmuc, T; Mlinarić-Majerski, K; Horvat, Š. Computational structure-activity study directs synthesis of novel antitumor enkephalin analogs. Amino Acids. 38 (2010) , -; 1185-1191
  7. Supek F, Peharec P, Krsnik-Rasol M, Šmuc T,"Enhanced analytical power of SDS-PAGE using machine learning algorithms, Proteomics, 8 (1): 28-31 JAN 2008.
  8. Malenica, M, Šmuc, T, Šnajder, J, Dalbelo-Bašić, B.”Language morphology offset: Text classification on a Croatian-English parallel corpus”, INFORMATION PROCESSING & MANAGEMENT, 44 (1): 325-339 JAN 2008.
  9. Šmuc, T: “Sensitivity of Differential Evolution Algorithm to Values of Control Parameters”, Proceedings of the International Conference on Artificial Intelligence. Arabnia, H.R.; Mun, Y. (ed.). USA : CSREA Press,2002. 1087-1093.
  10. Šmuc, T: “Improving Convergence Properties of the Differential Evolution Algorithm”, Proceedings of the MENDEL 2002 - 8th International Conference on Soft Computing, Maotušek, R.; Ošmera, P. (ed.). Brno, 2002. 80-86
  11. Trontl, K; Šmuc, T; Pevec, D”Support vector regression model for the estimation of gamma-ray buildup factors for multi-layer shields”, Annals of Nuclear Energy, 34 (12): 939-952 DEC 2007.
  12. Šmuc, T; Pevec, D; Petrovic, B, ”Annealing Strategies for Loading Pattern Optimization”, Annals of Nuclear Energy, 21 (6): 325-336 JUN 1994

Membership in professional associations / societies

IEEE Computer Society

ENS - European Nuclear Society

HNS - Croatian Nucelar Society