Objavljeni radovi:
[1]
[1] Grbić, M., Kartelj, A., Janković, S., Matić, D., Filipović, V. Variable neighborhood search for partitioning sparse biological networks into the maximum edge-weighted k -plexes. IEEE/ACM Transactions on Computational Biology and Bioinformatics, DOI 10.1109/TCBB.2019.2898189,2019. (M21, IF2018 = 2.896) [2] Grbić, M. Conditional Random Fields-based Aproach to Classification: Application to Life Sciences, IPSI BgD Transactions on Advanced Research (TАR), Special issue - "ICT Research at the University of Belgrade and at its Foreign Guests", Vol. 15, No. 1, pp. 1-9, 2019, ISSN 1820 - 4511. (M53) [3] Grbić, M. A three-phase mapreduce-based algorithm for searching biomedical document databases, "International Journal of Electrical Engineering and Computing", Vol. 3, No. 1, pp. 1-8, 2019, e-ISSN: 2566-3682. (М53) [4] Grbić, M., Kartelj, A., Matić, D., Filipović, V. Improving 1NN strategy for classification of some prokaryotic organisms, Belgrade Bioinformatics Conference (BelBI) 2016, Proceedings Belgrade BioInformatics Conference 2016, ISBN: 978-86-7589-124-6, pp. 43-54. (M33) [5] Grbić, M., Kartelj, A., Matić, D., Janković, S., Filipović, V. A heuristic approach for clustering metabolic networks into highly connected components, 4th NGP-NET symposium, Druskininkai, Litvanija, septembar 2018. (M34) [6] Grbić, M., Janković, S., Matić, D., Pavlović-Lažetić, G. Conditional Random Fields based approach for classification of the reactants in some metabolic reactions, Belgrade BioInformatics Conference 2018, Beograd, Srbija, jun 2018. (M34) [7] Grbić, M., Kartelj, A., Matić, D., Filipović, V. A local search based heuristic for clustering large biological networks into highly connected components, First Congress of Molecular Biologists of Serbia, Beograd, Srbija, septembar 2017. (M34) [8] Grbić, M., Kartelj, A., Matić, D., Filipović, V. Partitioning biological networks in k-plex subnetworks with maximum edge weights, 3rd NGP-NET symposium, Košice, Slovačka, septembar 2017. (M34)
