Featured articles

Krleža, D., Vrdoljak, B. & Brčić, M. (2020) Statistical hierarchical clustering algorithm for outlier detection in evolving data streams. Machine learning, 1, 1, 40 doi:10.1007/s10994-020-05905-4.
Brčić, M., Katić, M. & Hlupić, N. (2019) Planning horizons based proactive rescheduling for stochastic resource-constrained project scheduling problems. European Journal of Operational Research, 273 (1), 58-66 doi:10.1016/j.ejor.2018.07.037.
Krleža, D., Vrdoljak, B. & Brčić, M. (2019) Latent Process Discovery Using Evolving Tokenized Transducer. IEEE access, 7, 169657-169676 doi:10.1109/ACCESS.2019.2955245.
Došilović, F., Brčić, M. & Hlupić, N. (2018) Explainable Artificial Intelligence: A Survey. U: Skala, K. (ur.) Proceedings of the 41st International Convention on Information and Communication Technology, Electronics and Microelectronics MIPRO 2018. Rijeka, Croatia, Croatian Society for Information and Communication Technology, Electronics and Microelectronics – MIPRO, str. 210-215 doi:10.23919/MIPRO.2018.8400040.
Brčić, M. & Mlinarić, D. (2018) Tracking Predictive Gantt Chart for Proactive Rescheduling in Stochastic Resource Constrained Project Scheduling. Journal of information and organizational sciences, 42 (2), 179-192 doi:10.31341/jios.42.2.2.
Brčić, M. & Hlupić, N. (2017) Cloud-Distributed Computational Experiments for Combinatorial Optimization. U: MIPRO 2017 – 40th Jubilee International Convention Proceedings.. Opatija, Hrvatska, str. 214-218.
Beroš, I., Hlupić, N. & Brčić, M. (2015) Computational aspects of efficient estimation of harmonically related sine-waves. Automatika : časopis za automatiku, mjerenje, elektroniku, računarstvo i komunikacije, 56 (3), 359-366 doi:10.7305/automatika.2015.12.687.

Student Theses

Controlling the supply chain network with a multiagent reinforcement learning-based system
Controlling the distribution network with a deep reinforcement learning-based agent
Exact solving machine scheduling problems assisted by graph neural networks
Artificial intelligence alignment using debate
Intelligent agent for Tetris
Self-supervised learning method for recommender systems based on community detection in graphs
Self-supervised learning method for recommender systems based on random walks in graphs
Content-based recommender models for authored textual materials based on deep learning
Content-based recommender models for authored textual materials based on decision trees and forests
Program library of time scheduling methods
A generic framework for automatic dictation correction