Facebook Instagram Linkedin Twitter Youtube

STUDENTI | ZAPOSLENICI | ALUMNI

prof.dr.sc. Mario Miličević

  • Hrvatski
  • English
prof.dr.sc. Mario Miličević

Zaposlenje:
aktivni radni odnos
Ustrojstvena jedinica:
Fakultet elektrotehnike i primijenjenog računarstva
E-mail :
mario.milicevic@unidu.hr
Telefon :
+385 20 445 766
Lokalni telefon :
2766
Ured (prostorija):
D15
Ć.Carića 4, 20000 Dubrovnik, Hrvatska
Termin konzultacija:
Srijeda 10:00
Životopis:
Mario Miličević rodio se 1961.god. godine u Dubrovniku, gdje je pohađao osnovnu i srednju školu (Matematičko – informativno usmjerenje). Elektrotehnički fakultet u Zagrebu upisao je 1979.g., a diplomirao je u prosincu 1983.g.
Od 1995.g. Mario Miličević je vanjski suradnik Pomorskog fakulteta u Dubrovniku (kasnije Veleučilište u Dubrovniku) na kolegijima iz područja računarstva. Od godine 2000. stalno je zaposlen na Veleučilištu u Dubrovniku (kasnije Sveučilište u Dubrovniku). Od 1995. do danas bavi se znanstvenim istraživanjima u području Tehničkih znanosti, polje Računarstvo. Magistrirao je na Fakultetu za elektrotehniku i računarstvo u Zagrebu 2004.god. radnjom "Automatizacija izgradnje i održavanje skladišta podataka " (mentor prof.dr.sc.Vedran Mornar). Doktorirao je 2008.god. na Fakultetu za elektrotehniku i računarstvo u Zagrebu obranivši radnju "Metoda predviđanja vremena odziva SQL upita za upravljanje razinom usluga" (mentorica prof.dr.sc.Mirta Baranović).
Angažiran je u nastavi na kolegijima na preddiplomskom i diplomskom studijima, iz područja programiranja, baza i skladišta podataka, strojnog učenja i znanosti o podacima. Bio je mentor tijekom izrade više od 30 završnih i diplomskih radova. Njegovi istraživački interesi uključuju baze podataka, skladišta podataka i primijenjeno strojno učenje. Objavio je više od 30 radova u časopisima i na konferencijama.

Predmeti (nositelj)

Diplomski

  • 53429 - Informacijski sustavi u turizmu
  • 185947 - Uvod u znanost o podacima
  • 199854 - Napredni modeli i baze podataka
  • 199860 - Skladišta podataka i poslovna inteligencija
  • 238706 - Informacijski sustavi u turizmu

Predmeti (suradnik)

Diplomski

  • 63594 - Izrada diplomskog rada
  • 199851 - Diplomski projekt
  • 199860 - Skladišta podataka i poslovna inteligencija

Odabrane publikacije

Keselj, A., Milicevic, M., Zubrinic, K. and Car, Z. 2022. The Application of Deep Learning for the Evaluation of User Interfaces. Sensors 22(13)
Milicevic, M., Batos, V., Lipovac, A. and Car, Z. 2022. Deep Regression Neural Networks for Proportion Judgment. Future Internet 14(4)
Milicevic, M., Zubrinic, K., Grbavac, I. and Obradovic, I., 2020. Application of Deep Learning Architectures for Accurate Detection of Olive Tree Flowering Phenophase. Remote Sensing, 12(13), p.2120.
Milicevic, M., Zubrinic, K., Grbavac, I.. and Keselj, A., 2019, June. Ensemble Transfer Learning Framework for Vessel Size Estimation from 2D Images. In International Work-Conference on Artificial Neural Networks (pp. 258-269). Springer, Cham.
Cic, M., Milicevic, M. and Mazic, I., 2019. Optimal set of EEG features in infant sleep stage classification. Turkish Journal of Electrical Engineering & Computer Sciences, 27(1), pp.605-614.
Milicevic, M., Obradovic, I., Zubrinic, K. and Sjekavica, T., 2018. Data augmentation and transfer learning for limited dataset ship classification. Wseas Trans. Syst. Control, 13, pp.460-465.
Mirovic, M., Milicevic, M. and Obradovic, I., 2018. Big data in the maritime industry. Nase more, 65(1), pp.56-62.
Milicevic, M., Zubrinic, K., Obradovic, I. and Sjekavica, T., 2018, September. Application of Transfer Learning for Fine-Grained Vessel Classification Using a Limited Dataset. In International Conference on Applied Physics, System Science and Computers (pp. 125-131). Springer, Cham.
Milicevic, M., Mazic, I. and Bonkovic, M., 2016. Asthmatic Wheezes Detection-What Contributes the Most to the Role of MFCC in Classifiers Accuracy?. International Journal of Biology and Biomedical Engineering, 10, pp.176-182.
Milicevic, M., Baranovic, M. and Zubrinic, K., 2015. Application of machine learning algorithms for the query performance prediction. Adv Electr Comput Eng, 15(3), pp.33-44.
Obradovic, I., Milicevic, M. and Zubrinic, K., 2014. Machine Learning Approaches to Maritime Anomaly Detection. Nase more, 62(5/6), p.96.
Zubrinic, K., Kalpic, D. and Milicevic, M., 2012. The automatic creation of concept maps from documents written using morphologically rich languages. Expert systems with applications, 39(16), pp.12709-12718.

Suradnja s gospodarstvom i zajednicom

Predsjednik Informatičkog kluba Futura
Predsjednik Zajednice Tehničke kulture Grada Dubrovnika

Nagrade i priznanja:
Plaketa "Josip Lončar"
Područja istraživanja:
Primjena strojnog učenja
Duboko učenje
Otkrivanje znanja u skupovima podataka
Baze podataka
Skladišta podataka
Objavljeni radovi:

ORCID
Google Scholar
CROSBI

prof.dr.sc. Mario Miličević

Employment Status:
active employee
Organizational unit:
Faculty of Electrical Engineering and Applied Computing
E-mail :
mario.milicevic@unidu.hr
Telephone :
+385 20 445 766
Telephone Extension :
2766
Office (room):
D15
Ć.Carića 4, 20000 Dubrovnik, Hrvatska
Office hours:
Wednesday 10:00
Biography/CV:
Mario Miličević received his PhD degree in the field of computer science at the University of Zagreb, Faculty of Electrical Engineering and Computing. Currently, he is an associate professor at the University of Dubrovnik, Department of Electrical Engineering and Computing. He teaches programming, database and machine learning related courses at undergraduate and graduate level, and he mentored more than 30 graduation theses. His research interests include databases, data warehouses and applied machine learning. He published more than 30 journal and conference papers.

Lectures (holder)

  • 212995 - Basics of Digital Image Processing
  • 200220 - Data Processing Systems I
  • 32019 - Data Processing Systems II
  • 213006 - Database Development
  • 238706 - Information Systems in Tourism
  • 146159 - Introduction to Programming
  • 146168 - Computer Systems Administration
  • 158608 - Databases
  • 158609 - Operating Systems
  • 239270 - Machine Learning
  • 185947 - Introduction to Data Science
  • 53429 - Information Systems in Tourism
  • 158613 - Theoretical Computer Science
  • 199854 - Advanced Data Models and Databases
  • 199860 - Data Warehouses and Business Inteligence

Lectures (associate)

  • 212995 - Basics of Digital Image Processing
  • 200220 - Data Processing Systems I
  • 32019 - Data Processing Systems II
  • 213006 - Database Development
  • 239270 - Machine Learning
  • 185954 - Bachelor Thesis
  • 199851 - Project
  • 63594 - Work on Final Degree Thesis
  • 199860 - Data Warehouses and Business Inteligence

Selected publications

Keselj, A., Milicevic, M., Zubrinic, K. and Car, Z. 2022. The Application of Deep Learning for the Evaluation of User Interfaces. Sensors 22(13)
Milicevic, M., Batos, V., Lipovac, A. and Car, Z. 2022. Deep Regression Neural Networks for Proportion Judgment. Future Internet 14(4)
Milicevic, M., Zubrinic, K., Grbavac, I. and Obradovic, I., 2020. Application of Deep Learning Architectures for Accurate Detection of Olive Tree Flowering Phenophase. Remote Sensing, 12(13), p.2120.
Milicevic, M., Zubrinic, K., Grbavac, I.. and Keselj, A., 2019, June. Ensemble Transfer Learning Framework for Vessel Size Estimation from 2D Images. In International Work-Conference on Artificial Neural Networks (pp. 258-269). Springer, Cham.
Cic, M., Milicevic, M. and Mazic, I., 2019. Optimal set of EEG features in infant sleep stage classification. Turkish Journal of Electrical Engineering & Computer Sciences, 27(1), pp.605-614.
Milicevic, M., Obradovic, I., Zubrinic, K. and Sjekavica, T., 2018. Data augmentation and transfer learning for limited dataset ship classification. Wseas Trans. Syst. Control, 13, pp.460-465.
Mirovic, M., Milicevic, M. and Obradovic, I., 2018. Big data in the maritime industry. Nase more, 65(1), pp.56-62.
Milicevic, M., Zubrinic, K., Obradovic, I. and Sjekavica, T., 2018, September. Application of Transfer Learning for Fine-Grained Vessel Classification Using a Limited Dataset. In International Conference on Applied Physics, System Science and Computers (pp. 125-131). Springer, Cham.
Milicevic, M., Mazic, I. and Bonkovic, M., 2016. Asthmatic Wheezes Detection-What Contributes the Most to the Role of MFCC in Classifiers Accuracy?. International Journal of Biology and Biomedical Engineering, 10, pp.176-182.
Milicevic, M., Baranovic, M. and Zubrinic, K., 2015. Application of machine learning algorithms for the query performance prediction. Adv Electr Comput Eng, 15(3), pp.33-44.
Obradovic, I., Milicevic, M. and Zubrinic, K., 2014. Machine Learning Approaches to Maritime Anomaly Detection. Nase more, 62(5/6), p.96.
Zubrinic, K., Kalpic, D. and Milicevic, M., 2012. The automatic creation of concept maps from documents written using morphologically rich languages. Expert systems with applications, 39(16), pp.12709-12718.
Research interests:
Application of machine learning
Deep learning
Knowledge discovery in data sets
Databases
Data warehouses
Published papers:

ORCID
Google Scholar
CROSBI

carnet
studomat
merlin
e-učenje upute
vizual knjižnice
prvi_dan03
carnet
studomat
merlin
library
carnet
merlin
e-učenje upute
portal
vizual knjižnice
lapis
© Copyright Sveučilište u Dubrovniku 2024.