Tomislav Šmuc

Tomislav Šmuc

dr.sc.

Znanstveni savjetnik
+385 1 456 1085

1485

4680114

Krilo 1/105

Bijenička cesta 54
Zagreb

Obrazovanje

dipl. inž. elektrotehnike

Područja znanosti

bioinformatika, informacijski sustavi, obradba informacija, umjetna inteligencija

Projekti

MAESTRA - Learning from Massive, Incompletely Annotated, and Structured Data

Nastava

Strojno učenje (PMF - diplomski studij Računarstva i Matematike)

Istaknute publikacije

  1. M. Mihelčić, N. Lavrač, S. Džeroski, T. Šmuc, (2017) A framework for redescription set construction, Expert Systems With Applications 68 196–215.
  2. Vedrana Vidulin, Tomislav Šmuc, Fran Supek, (2016). Extensive Complementarity between Gene Function Prediction Methods, Bioinformatics, Bioinformatics, 1367-4803.
  3. 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).
  4. Predrag Radivojac, .... Nives Škunca, Fran Supek, Matko Bošnjak, Tomislav Šmuc.
    A large-scale evaluation of computational protein function prediction. // Nature methods. 10 (2013) ; 221-227
  5.  Levatić, Jurica; Ćurak, Jasna; Kralj, Marijeta; Šmuc, Tomislav; Osmak, Maja; Supek, Fran.
    Accurate Models for P-gp Drug Recognition Induced from a Cancer Cell Line Cytotoxicity Screen. // Journal of medicinal chemistry. 56 (2013) , 14; 5691-5708.
  6. Smole, Zlatko; Nikolic, Nela; Supek, Fran; Šmuc, Tomislav; Sbalzarini, Ivo; Krisko, Anita.
    Proteome sequence features carry signatures of the environmental niche of prokaryotes. // Bmc evolutionary biology. 11 (2011) ; 1-26
  7. 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.
  8. 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.
  9. 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
  10. 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.
  11. 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.
  12. 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.
  13. 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
  14. 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.
  15. Šmuc, T; Pevec, D; Petrovic, B, ”Annealing Strategies for Loading Pattern Optimization”, Annals of Nuclear Energy, 21 (6): 325-336 JUN 1994

Članstva u profesionalnim udrugama / društvima

IEEE CS 

HND - Hrvatsko Nuklearno Društvo

ENS - European Nuclear Society