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"Milana Grbić"
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Metode linearne algebre za rješavanje problema dimenzionalne redukcije (2025-07-09T08:28:36.969Z)
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Who Rules the Network? Dominating Proteins in Multilayer PPI Systems (2025-06)
N. Vilendečić, M. Grbić, D. Matić, A. Kartelj, Who Rules the Network? Dominating Proteins in Multilayer PPI Systems, BOOK OF ABSTRACTS "Theoretical Biology Meets Big Data: Dynamical Systems, Machine Learning, and Applications in Life Sciences”, The General DYNALIFE Conference, pp. 34 - 34, Jun, 2025 -
Graph Embedding-Based Identification of Protein Complexes in Dynamic PPI Networks (2026-03)
N. Vilendečić, M. Radovanović, M. Grbić, Graph Embedding-Based Identification of Protein Complexes in Dynamic PPI Networks, 2026 25th International Symposium INFOTEH-JAHORINA (INFOTEH) Proceeding, pp. 1 - 6, Mar, 2026 -
Analysis of biological networks: Math, Computer Science, & Biology (2023-09)
M. Grbić, Analysis of biological networks: Math, Computer Science, & Biology, womENcourage book of abstracts, pp. 1 - 1, Sep, 2023 -
Several Roman domination graph invariants on Kneser graphs (2023-05)
T. Zec, M. Grbić, Several Roman domination graph invariants on Kneser graphs, DISCRETE MATHEMATICS AND THEORETICAL COMPUTER SCIENCE, Vol. 25, No. 1, May, 2023 -
Увод у објектно оријентисано програмирање кроз програмски језик Јава (2023)
M. Grbić, Д. Матић, Увод у објектно оријентисано програмирање кроз програмски језик Јава, Природно-математички факултет, Универзитет у Бањој Луци, 2023 -
Variable neighborhood search for partitioning sparse biological networks into the maximum edge-weighted k-plexes (2019)
M. Grbić, А. Картељ, С. Јанковић, Д. Матић, В. Филиповић, Variable neighborhood search for partitioning sparse biological networks into the maximum edge-weighted k-plexes, IEEE/ACM transactions on computational biology and bioinformatics, pp. 1 - 1, 2019 -
Conditional Random Fields-based Aproach to Classification: Application to Life Sciences (2019)
M. Grbić, Conditional Random Fields-based Aproach to Classification: Application to Life Sciences, IPSI TRANSACTIONS ON ADVANCED RESEARCH, Vol. 15, No. 1, pp. 1 - 9, 2019 -
A three-phase mapreduce-based algorithm for searching biomedical document databases (2019)
M. Grbić, 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 -
A three-phase method for identifying functionally related protein groups in weighted PPI networks. (2020)
M. Grbić, Д. Матић, А. Картељ, С. Јанковић, В. Филиповић, A three-phase method for identifying functionally related protein groups in weighted PPI networks., COMPUTATIONAL BIOLOGY AND CHEMISTRY, Vol. 86, pp. 1 - 16, 2020 -
Can Greedy-like Heuristics Be Useful for Solving the Weighted Orthogonal Art Gallery Problem Under Regular Grid Discretization? (2021-12)
М. Предојевић, М. Ђукановић, M. Grbić, Д. Матић, Can Greedy-like Heuristics Be Useful for Solving the Weighted Orthogonal Art Gallery Problem Under Regular Grid Discretization?, International Journal of Electrical Engineering and Computing , Vol. 5, No. 2, pp. 77 - 85, Dec, 2021 -
"Биоинформатичке базе података и алгоритми који се користе за поравнање секвенци" (2015-06)
M. Grbić, "Биоинформатичке базе података и алгоритми који се користе за поравнање секвенци", Book of Abstracts Fifth Mathematical Conference of the Republic of Srpska, pp. 39 - 39, Jun, 2015 -
"Analysis of classification algorithms applied to some prokaryotic organisms" (2016-04)
M. Grbić, "Analysis of classification algorithms applied to some prokaryotic organisms", Apr, 2016 -
"Improving 1NN strategy for classification of some prokaryotic organisms" (2016-06)
M. Grbić, A. Kartelj, D. Matić, V. Filipović, "Improving 1NN strategy for classification of some prokaryotic organisms", Proceedings Belgrade BioInformatics Conference 2016, pp. 43 - 54, Jun, 2016 -
A heuristic approach for clustering metabolic networks into highly connected components (2018-09)
M. Grbić, А. Картељ, Д. Матић, С. Јанковић, В. Филиповић, A heuristic approach for clustering metabolic networks into highly connected components, NGP-Net4 abstract book, pp. 48 - 48, Sep, 2018 -
Partitioning Weighted Metabolic Networks into Maximally Balanced Connected Partitions (2020)
Д. Матић, M. Grbić, Partitioning Weighted Metabolic Networks into Maximally Balanced Connected Partitions, 2020 -
On application of computational methods in network-based biological research (2023-05)
M. Grbić, Д. Матић, On application of computational methods in network-based biological research, DYNALIFE book of abstracts, May, 2023 -
AI methods for biological networks and sequences (2023-05)
Д. Матић, M. Grbić, AI methods for biological networks and sequences, DYNALIFE book of abstracts, May, 2023 -
Assessing the Impact of Graph Embedding Refinements on IDP Classification (2025-05)
N. Vilendečić, М. Грбић, Д. Матић, Assessing the Impact of Graph Embedding Refinements on IDP Classification, ABSTRACT BOOK 3rd ML4NGP MEETING on Machine Learning and Non-globular proteins, May, 2025 -
AI-Supported Web Based Tool for Protein Complex Identification via Graph Community Detection Algorithms (2026-04)
М. Јагузовић, М. Грбић, Д. Крнета, Д. Матић, AI-Supported Web Based Tool for Protein Complex Identification via Graph Community Detection Algorithms, Apr, 2026