Andrija Petrovic

Publication Activity (10 Years)

Years Active: 1998-2024
Publications (10 Years): 24

Top Topics

Data Extraction

Structured Prediction

Regression Algorithm

Top Venues

Eng. Appl. Artif. Intell.

Comput. Sci. Inf. Syst.

Publications

Momir Adzemovic, Predrag Tadic, Andrija Petrovic, Mladen Nikolic
Beyond Kalman Filters: Deep Learning-Based Filters for Improved Object Tracking. CoRR (2024)
Momir Adzemovic, Predrag Tadic, Andrija Petrovic, Mladen Nikolic
Engineering an Efficient Object Tracker for Non-Linear Motion. CoRR (2024)
Andrija Petrovic, Sandro Radovanovic, Mladen Nikolic, Boris Delibasic, Milos Jovanovic
Structured prediction of sparse dependent variables for traffic state estimation in large-scale networks. Appl. Soft Comput. 133 (2023)
Lasse Hansen, Nabeel Seedat, Mihaela van der Schaar, Andrija Petrovic
Reimagining Synthetic Tabular Data Generation through Data-Centric AI: A Comprehensive Benchmark. CoRR (2023)
Aleksa Bisercic, Mladen Nikolic, Mihaela van der Schaar, Boris Delibasic, Pietro Liò, Andrija Petrovic
Interpretable Medical Diagnostics with Structured Data Extraction by Large Language Models. CoRR (2023)
Sandro Radovanovic, Andrija Petrovic, Zorica A. Dodevska, Boris Delibasic
FairAW - Additive weighting without discrimination. Intell. Data Anal. 27 (4) (2023)
Boris Delibasic, Drazenko Glavic, Sandro Radovanovic, Andrija Petrovic, Marina Milenkovic, Milija Suknovic
Multi-actor VIKOR Method for Highway Selection in Montenegro. ICDSST (2023)
Max Zhu, Katarzyna Kobalczyk, Andrija Petrovic, Mladen Nikolic, Mihaela van der Schaar, Boris Delibasic, Petro Liò
Tabular Few-Shot Generalization Across Heterogeneous Feature Spaces. CoRR (2023)
Max Zhu, Sinisa Stanivuk, Andrija Petrovic, Mladen Nikolic, Pietro Lio
Incorporating LLM Priors into Tabular Learners. CoRR (2023)
Andrija Petrovic, Mladen Nikolic, Milos Jovanovic, Boris Delibasic
Gaussian conditional random fields for classification. Expert Syst. Appl. 212 (2023)
Andrija Petrovic, Mladen Nikolic, Ugljesa Bugaric, Boris Delibasic, Pietro Liò
Controlling highway toll stations using deep learning, queuing theory, and differential evolution. Eng. Appl. Artif. Intell. 119 (2023)
Sandro Radovanovic, Andrija Petrovic, Boris Delibasic, Milija Suknovic
A fair classifier chain for multi-label bank marketing strategy classification. Int. Trans. Oper. Res. 30 (3) (2023)
Lasse Hansen, Nabeel Seedat, Mihaela van der Schaar, Andrija Petrovic
Reimagining Synthetic Tabular Data Generation through Data-Centric AI: A Comprehensive Benchmark. NeurIPS (2023)
Zorica A. Dodevska, Andrija Petrovic, Sandro Radovanovic, Boris Delibasic
Changing criteria weights to achieve fair VIKOR ranking: a postprocessing reranking approach. Auton. Agents Multi Agent Syst. 37 (1) (2023)
Andrija Petrovic, Aleksa Bisercic, Boris Delibasic, Dimitrije Milenkovic
A machine learning approach for learning temporal point process. Comput. Sci. Inf. Syst. 19 (2) (2022)
Marko Vasic, Andrija Petrovic, Kaiyuan Wang, Mladen Nikolic, Rishabh Singh, Sarfraz Khurshid
MoËT: Mixture of Expert Trees and its application to verifiable reinforcement learning. Neural Networks 151 (2022)
Andrija Petrovic, Mladen Nikolic, Sandro Radovanovic, Boris Delibasic, Milos Jovanovic
FAIR: Fair adversarial instance re-weighting. Neurocomputing 476 (2022)
Andrija Petrovic, Mladen Nikolic, Milos Jovanovic, Milos Bijanic, Boris Delibasic
Fair classification via Monte Carlo policy gradient method. Eng. Appl. Artif. Intell. 104 (2021)
Sandro Radovanovic, Andrija Petrovic, Boris Delibasic, Milija Suknovic
Enforcing fairness in logistic regression algorithm. INISTA (2020)
Andrija Petrovic, Mladen Nikolic, Sandro Radovanovic, Boris Delibasic, Milos Jovanovic
FAIR: Fair Adversarial Instance Re-weighting. CoRR (2020)
Vesna K. Spasojevic Brkic, Zorica A. Veljkovic, Andrija Petrovic
Industry 4.0 Technology and Employees Behavior Interaction in Serbian Industrial Companies. AHFE (8) (2019)
Sandro Radovanovic, Andrija Petrovic, Boris Delibasic, Milija Suknovic
Ski Injury Predictions with Explanations. ICT Innovations (2019)
Andrija Petrovic, Mladen Nikolic, Milos Jovanovic, Boris Delibasic
Gaussian Conditional Random Fields for Classification. CoRR (2019)
Marko Vasic, Andrija Petrovic, Kaiyuan Wang, Mladen Nikolic, Rishabh Singh, Sarfraz Khurshid
MoËT: Interpretable and Verifiable Reinforcement Learning via Mixture of Expert Trees. CoRR (2019)
Aleksa J. Zejak, Igor Simic, Zoran Golubicic, Andrija Petrovic
Mismatched compression filter for improved radar range resolution. ICECS (1999)
Andrija Petrovic, Aleksa J. Zejak, Bojan Zrnic
ECF filter design for radar applications. ICECS (1999)
Andrija Petrovic, Aleksa J. Zejak, Igor Simic, Bojan Zrnic
A new approach to ECF design is proposed based on IRLS algorithm. EUSIPCO (1998)