Navigacija

prof. dr Aleksandar Kartelj
vanredni profesor

Katedre
  • Prirodno-matematički fakultet - Katedra za računarske i informatičke nauke
Uža naučna/umjetnička oblast Zvanje Datum izbora u zvanje
vanredni profesor 28. septembar 2023.
docent 28. septembar 2015.

Predmeti

Prirodno-matematički fakultet

Akademske studije prvog ciklusa
1C07MOS309 Osnovi računarskih sistema 3
1C07MOS519 Osnovi računarskih sistema 4
1C09MNS912 Uvod u računarske mreže
1C09MOS309 Osnovi računarskih sistema 3
1C09MOS519 Osnovi računarskih sistema 4
1C19MIN013 Operativni sistemi
1C19MIN016 Računarske mreže
1C19MIN022 Funkcionalno programiranje
1C19MIN028 Internet programiranje

Bibliografija

Radovi u časopisima

    Self-Adaptive Cmsa for Solving the Multidimensional Multi-Way Number Partitioning Problem

    DOI https://doi.org/10.1016/j.eswa.2023.120762
    Časopis EXPERT SYSTEMS WITH APPLICATIONS
    Godina 2023
    Autori Marko Đukanović, Aleksandar Kartelj i Christian Blum
    Volumen 232
    Broj 1
    Strana od 1
    Strana do 21
    Veb adresa https://www.sciencedirect.com/science/article/abs/pii/S0957417423012642

    Variable neighborhood search for weighted total domination problem and its application in social network information spreading

    DOI https://doi.org/10.1016/j.asoc.2023.110387
    Časopis APPLIED SOFT COMPUTING
    Godina 2023
    Autori Stefan Kapunac, Aleksandar Kartelj i Marko Đukanović
    Volumen 143
    Broj 110387
    Strana od 1
    Strana do 26
    Veb adresa https://www.sciencedirect.com/science/article/abs/pii/S1568494623004052

    RILS-ROLS: Robust Symbolic Regression via Iterated Local Search and Ordinary Least Squares

    DOI https://link.springer.com/article/10.1186/s40537-023-00743-2
    Časopis Journal of Big Data
    Godina 2023
    Autori Aleksandar Kartelj i Marko Đukanović
    Volumen 10
    Broj 71
    Strana od 1
    Strana do 28

    Graph Search and Variable Neighborhood Search for Finding Constrained Longest Common Subsequences in Artificial and Real Gene Sequences

    DOI https://doi.org/10.1016/j.asoc.2022.108844
    Časopis APPLIED SOFT COMPUTING
    Godina 2022
    Autori Marko Đukanović, Aleksandar Kartelj, Dragan Matić, Milana Grbić, Christian Blum i Guenther Raidl
    Strana od 108844
    Strana do 108844
    Veb adresa https://www.sciencedirect.com/science/article/abs/pii/S156849462200237X

    Supportness of the protein complex standards in PPI networks

    DOI https://doi.org/10.1080/24751839.2021.1989241
    Časopis Journal of Information and Telecommunication
    Godina 2021
    Autori Milana Grbić, Vukašin Crnogorac, Milan Predojević, Aleksandar Kartelj i Dragan Matić
    Volumen 5
    Broj 3
    Strana od 1
    Strana do 21
    Veb adresa https://www.tandfonline.com/doi/full/10.1080/24751839.2021.1989241

    Solving the Longest Common Subsequence Problem Concerning Non-Uniform Distributions of Letters in Input Strings

    DOI 10.3390/math9131515
    Časopis Mathematics
    Godina 2021
    Autori Bojan Nikolić, Aleksandar Kartelj, Marko Đukanović, Milana Grbić, Christian Blum i Günther Raidl
    Volumen 9
    Broj 13
    Strana od e-časopis
    Strana do broj članka 1515
    Veb adresa https://www.mdpi.com/2227-7390/9/13/1515

    The Roman domination number of some special classes of graphs - convex polytopes

    DOI https://doi.org/10.2298/AADM171211019K
    Časopis APPLICABLE ANALYSIS AND DISCRETE MATHEMATICS
    Godina 2021
    Autori Aleksandar Kartelj, Milana Grbić, Dragan Matić i Vladimir Filipović
    Strana od 1
    Strana do 20
    Veb adresa http://pefmath.etf.rs/accepted/Ivana/AADM-2921.pdf

    A three-phase method for identifying functionally related protein groups in weighted PPI networks.

    DOI https://doi.org/10.1016/j.compbiolchem.2020.107246
    Časopis COMPUTATIONAL BIOLOGY AND CHEMISTRY
    Godina 2020
    Autori Milana Grbić, Dragan Matić, Aleksandar Kartelj, Savka Janković i Vladimir Filipović
    Volumen 86
    Strana od 1
    Strana do 16
    Veb adresa https://www.sciencedirect.com/science/article/abs/pii/S1476927119310035?via%3Dihub

    Variable neighborhood search for partitioning sparse biological networks into the maximum edge-weighted k-plexes

    DOI 10.1109/TCBB.2019.2898189
    Časopis IEEE/ACM transactions on computational biology and bioinformatics
    Godina 2019
    Autori Milana Grbić, Aleksandar Kartelj, Savka Janković, Dragan Matić i Vladimir Filipović
    Strana od 1
    Strana do 1
    Veb adresa https://ieeexplore.ieee.org/abstract/document/8637050

Radovi sa skupova

    Variable neighborhood search for solving the k-domination problem

    Naučni skup GECCO '23 Companion: Proceedings of the Companion Conference on Genetic and Evolutionary Computation
    DOI https://doi.org/10.1145/3583133.3590607
    Publikacija Proceedings of the Companion Conference on Genetic and Evolutionary Computation
    Godina 2023
    Autori Milan Predojević, Aleksandar Kartelj i Marko Đukanović
    Strana od 239
    Strana do 242
    Veb adresa https://dl.acm.org/doi/abs/10.1145/3583133.3590607

    Statistical analysis of correlation between weather parameters and new COVID-19 cases: a case study of Bosnia and Herzegovina

    Naučni skup 2021 International Conference on INnovations in Intelligent SysTems and Applications (INISTA)
    DOI 10.1109/INISTA52262.2021.9548391
    Publikacija 2021 IEEE International Conference on INnovations in Intelligent SysTems and Applications (INISTA) - Proceedings
    Godina 2021
    Autori Tatjana Zec, Aleksandar Kartelj, Marko Đukanović, Milana Grbić i Dragan Matić
    Veb adresa https://ieeexplore.ieee.org/abstract/document/9548391

    How well are known protein complexes supported in PPI networks?

    Naučni skup 2020 International Conference on INnovations in Intelligent SysTems and Applications (INISTA)
    DOI 10.1109/INISTA49547.2020.9194663
    Publikacija 2020 International Conference on INnovations in Intelligent SysTems and Applications (INISTA) - Proceedings
    Godina 2020
    Autori Milana Grbić, Vukašin Crnogorac, Milan Predojević, Aleksandar Kartelj i Dragan Matić
    Strana od 1
    Strana do 7
    Veb adresa https://ieeexplore.ieee.org/abstract/document/9194663