Mario Dudjak

@ferit.unios.hr

Postdoctoral Researcher at Department of Software Engineering
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek

Mario Dudjak


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https://researchid.co/mariodudjak

EDUCATION

PhD in Computer Science (Artificial Intelligence)
Master of Computer Science

RESEARCH, TEACHING, or OTHER INTERESTS

Computer Science, Artificial Intelligence
15

Scopus Publications

270

Scholar Citations

7

Scholar h-index

6

Scholar i10-index

Scopus Publications

RECENT SCHOLAR PUBLICATIONS

  • Reliable Authentication of DRAM PUFs by Leveraging Random Forests in Machine Learning
    M Dudjak, M Elsharif, S Neisarian, T Arul, S Katzenbeisser, ...
    2025 IEEE 11th World Forum on Internet of Things (WF-IoT), 1-7 , 2025
    2025
    Citations: 1
  • Empirijska studija postupaka strojnog učenja za prepoznavanje malicioznih napada
    A Carević, M Dudjak
    Festung: Časopis za interdisciplinarna istraživanja u poslovanju 1 (1), 15-24 , 2025
    2025
  • An Empirical Study of Machine Learning Techniques for Malicious Attack Detection
    A Carević, M Dudjak
    Festung: Časopis za interdisciplinarna istraživanja u poslovanju 1 (1), 15-24 , 2025
    2025
  • Reducing Meta-Level Data in Stacking Ensembles for Classification
    D Bajer, B Zorić, M Dudjak
    2024 International Conference on Smart Systems and Technologies (SST), 133-138 , 2024
    2024
    Citations: 1
  • Feature extraction procedures for chronic wound tissue classification
    B Zorić, D Bajer, M Dudjak
    2024 Zooming Innovation in Consumer Technologies Conference (ZINC), 1-6 , 2024
    2024
    Citations: 1
  • An empirical study of the crossover operator in a genetic algorithm used as a wrapper for feature selection
    M Dudjak
    Authorea Preprints , 2023
    2023
  • An ensemble-based framework for biomedical classification problems
    M Dudjak, B Zorić, D Bajer
    2023 Zooming Innovation in Consumer Technologies Conference (ZINC), 69-73 , 2023
    2023
    Citations: 3
  • SMOTE Inspired Extension for Differential Evolution
    D Bajer, B Zorić, M Dudjak
    International Conference on Bioinspired Optimization Methods and Their … , 2022
    2022
  • Bio-inspired wrapper-based feature selection: does the choice of metric matter?
    D Bajer, M Dudjak, B Zorić
    2022 International Conference on Smart Systems and Technologies (SST), 1-8 , 2022
    2022
  • Učenje iz neuravnoteženih podataka unaprijeđenim postupcima za odabir značajki, preuzorkovanje i izgradnju radijalnih neuronskih mreža
    M Dudjak
    Sveučilište Josipa Jurja Strossmayera u Osijeku, Sveučilište Josipa Jurja … , 2022
    2022
    Citations: 5
  • Predicting public transport arrival time and congestion based on BLE beacon crowdsourced data
    B Zorić, M Dudjak, D Bajer
    2022 IEEE Zooming Innovation in Consumer Technologies Conference (ZINC), 81-86 , 2022
    2022
    Citations: 3
  • An empirical study of data intrinsic characteristics that make learning from imbalanced data difficult
    M Dudjak, G Martinović
    Expert systems with applications 182, 115297 , 2021
    2021
    Citations: 54
  • Wrapper-based feature selection: how important is the wrapped classifier?
    D Bajer, M Dudjak, B Zorić
    2020 International conference on smart systems and technologies (SST), 97-105 , 2020
    2020
    Citations: 30
  • Wrapper-based feature selection via differential evolution: benchmarking different discretisation techniques
    B Zorić, D Bajer, M Dudjak
    2020 International Conference on Smart Systems and Technologies (SST), 89-96 , 2020
    2020
    Citations: 6
  • An API-first methodology for designing a microservice-based Backend as a Service platform
    M Dudjak, G Martinović
    Information technology and control 49 (2), 206-223 , 2020
    2020
    Citations: 60
  • In-Depth Performance Analysis of SMOTE-Based Oversampling Algorithms in Binary Classification
    M Dudjak, G Martinović
    International Journal of Electrical and Computer Engineering Systems 11 (1 … , 2020
    2020
    Citations: 20
  • An empirical study of classification algorithms when dealing with the problem of class imbalance and other data intrinsic characteristics
    M Dudjak, G Martinović
    Abstract Book-Fifth International Workshop on Data Science/Lončarić, Sven … , 2020
    2020
  • Benchmarking bio-inspired computation algorithms as wrappers for feature selection
    D Bajer, B Zorić, M Dudjak, G Martinović
    Acta electrotechnica et informatica 20 (2), 35-43 , 2020
    2020
    Citations: 4
  • Evaluation and analysis of bio-inspired optimization algorithms for feature selection
    D Bajer, B Zorić, M Dudjak, G Martinović
    2019 IEEE 15th international scientific conference on informatics, 000285-000292 , 2019
    2019
    Citations: 7
  • Performance analysis of SMOTE-based oversampling techniques when dealing with data imbalance
    D Bajer, B Zonć, M Dudjak, G Martinović
    2019 International Conference on Systems, Signals and Image Processing … , 2019
    2019
    Citations: 47

MOST CITED SCHOLAR PUBLICATIONS

  • An API-first methodology for designing a microservice-based Backend as a Service platform
    M Dudjak, G Martinović
    Information technology and control 49 (2), 206-223 , 2020
    2020
    Citations: 60
  • An empirical study of data intrinsic characteristics that make learning from imbalanced data difficult
    M Dudjak, G Martinović
    Expert systems with applications 182, 115297 , 2021
    2021
    Citations: 54
  • Performance analysis of SMOTE-based oversampling techniques when dealing with data imbalance
    D Bajer, B Zonć, M Dudjak, G Martinović
    2019 International Conference on Systems, Signals and Image Processing … , 2019
    2019
    Citations: 47
  • Wrapper-based feature selection: how important is the wrapped classifier?
    D Bajer, M Dudjak, B Zorić
    2020 International conference on smart systems and technologies (SST), 97-105 , 2020
    2020
    Citations: 30
  • Design and development of a smart attendance management system with Bluetooth low energy beacons
    B Zorić, M Dudjak, D Bajer, G Martinović
    2019 Zooming Innovation in Consumer Technologies Conference (ZINC), 86-91 , 2019
    2019
    Citations: 21
  • In-Depth Performance Analysis of SMOTE-Based Oversampling Algorithms in Binary Classification
    M Dudjak, G Martinović
    International Journal of Electrical and Computer Engineering Systems 11 (1 … , 2020
    2020
    Citations: 20
  • Evaluation and analysis of bio-inspired optimization algorithms for feature selection
    D Bajer, B Zorić, M Dudjak, G Martinović
    2019 IEEE 15th international scientific conference on informatics, 000285-000292 , 2019
    2019
    Citations: 7
  • Wrapper-based feature selection via differential evolution: benchmarking different discretisation techniques
    B Zorić, D Bajer, M Dudjak
    2020 International Conference on Smart Systems and Technologies (SST), 89-96 , 2020
    2020
    Citations: 6
  • Survey of database backup management
    M Dudjak, I Lukić, M Köhler
    27th International Scientific and Professional Conference Organization and … , 2017
    2017
    Citations: 6
  • Učenje iz neuravnoteženih podataka unaprijeđenim postupcima za odabir značajki, preuzorkovanje i izgradnju radijalnih neuronskih mreža
    M Dudjak
    Sveučilište Josipa Jurja Strossmayera u Osijeku, Sveučilište Josipa Jurja … , 2022
    2022
    Citations: 5
  • Benchmarking bio-inspired computation algorithms as wrappers for feature selection
    D Bajer, B Zorić, M Dudjak, G Martinović
    Acta electrotechnica et informatica 20 (2), 35-43 , 2020
    2020
    Citations: 4
  • An ensemble-based framework for biomedical classification problems
    M Dudjak, B Zorić, D Bajer
    2023 Zooming Innovation in Consumer Technologies Conference (ZINC), 69-73 , 2023
    2023
    Citations: 3
  • Predicting public transport arrival time and congestion based on BLE beacon crowdsourced data
    B Zorić, M Dudjak, D Bajer
    2022 IEEE Zooming Innovation in Consumer Technologies Conference (ZINC), 81-86 , 2022
    2022
    Citations: 3
  • Reliable Authentication of DRAM PUFs by Leveraging Random Forests in Machine Learning
    M Dudjak, M Elsharif, S Neisarian, T Arul, S Katzenbeisser, ...
    2025 IEEE 11th World Forum on Internet of Things (WF-IoT), 1-7 , 2025
    2025
    Citations: 1
  • Reducing Meta-Level Data in Stacking Ensembles for Classification
    D Bajer, B Zorić, M Dudjak
    2024 International Conference on Smart Systems and Technologies (SST), 133-138 , 2024
    2024
    Citations: 1
  • Feature extraction procedures for chronic wound tissue classification
    B Zorić, D Bajer, M Dudjak
    2024 Zooming Innovation in Consumer Technologies Conference (ZINC), 1-6 , 2024
    2024
    Citations: 1
  • Izrada BaaS (Backend as a Service) sustava za web aplikacije
    M Dudjak
    Sveučilište Josipa Jurja Strossmayera u Osijeku, Sveučilište Josipa Jurja … , 2018
    2018
    Citations: 1
  • Empirijska studija postupaka strojnog učenja za prepoznavanje malicioznih napada
    A Carević, M Dudjak
    Festung: Časopis za interdisciplinarna istraživanja u poslovanju 1 (1), 15-24 , 2025
    2025
  • An Empirical Study of Machine Learning Techniques for Malicious Attack Detection
    A Carević, M Dudjak
    Festung: Časopis za interdisciplinarna istraživanja u poslovanju 1 (1), 15-24 , 2025
    2025
  • An empirical study of the crossover operator in a genetic algorithm used as a wrapper for feature selection
    M Dudjak
    Authorea Preprints , 2023
    2023