Browsing by Author Petrović, Andrija

Showing results 1 to 10 of 10
Issue DateTitleAuthor(s)Rank
1-Jan-2025Beyond Kalman filters: deep learning-based filters for improved object trackingAdžemović, Momir; Tadić, Predrag; Petrović, Andrija; Nikolić, Mladen M22
1-Mar-2023Controlling highway toll stations using deep learning, queuing theory, and differential evolutionPetrović, Andrija; Nikolić, Mladen ; Bugarić, Uglješa; Delibašić, Boris; Lio, PietroM21a
2023Deep Learning Based Motion Models for Single Object TrackingAdžemović, Momir; Nikolić, Mladen ; Tadić, Predrag; Petrović, AndrijaM34
2021Fair classification via Monte Carlo policy gradient methodPetrović, Andrija; Nikolić, Mladen ; Jovanović, Miloš; Bijanić, Miloš; Delibašić, BorisM21a
2022FAIR: Fair adversarial instance re-weightingPetrović, Andrija; Nikolić, Mladen ; Radovanović, Sandro; Delibašić, Boris; Jovanović, MilošM21
2022Fairness in Machine Learning: Why and How?Nikolić, Mladen ; Petrović, AndrijaM33
1-Feb-2023Gaussian conditional random fields for classificationPetrović, Andrija; Nikolić, Mladen ; Jovanović, Miloš; Delibašić, BorisM21a
2023Incorporating LLM Priors into Tabular LearnersZhu, Max; Stanivuk, Siniša; Petrović, Andrija; Nikolić, Mladen ; Lib, PietroM33
2022MoËT: Mixture of Expert Trees and its application to verifiable reinforcement learningVasić, Marko; Petrović, Andrija; Wang, Kaiyuan; Nikolić, Mladen ; Singh, Rishabh; Khurshid, SarfrazM21a
1-Jan-2023Structured prediction of sparse dependent variables for traffic state estimation in large-scale networksPetrović, Andrija; Radovanović, Sandro; Nikolić, Mladen ; Delibašić, Boris; Jovanović, MilošM21a