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ORCIDAndrija Petrovic
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2020 – today
- 2024
[i9]Momir Adzemovic, Predrag Tadic, Andrija Petrovic, Mladen Nikolic:
Beyond Kalman Filters: Deep Learning-Based Filters for Improved Object Tracking. CoRR abs/2402.09865 (2024)- [i8]Momir Adzemovic, Predrag Tadic, Andrija Petrovic, Mladen Nikolic:
Engineering an Efficient Object Tracker for Non-Linear Motion. CoRR abs/2407.00738 (2024) - 2023
- [j10]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): 9 (2023) - [j9]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: 109893 (2023) - [j8]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: 105683 (2023) - [j7]Andrija Petrovic, Mladen Nikolic, Milos Jovanovic, Boris Delibasic:
Gaussian conditional random fields for classification. Expert Syst. Appl. 212: 118728 (2023) - [j6]Sandro Radovanovic, Andrija Petrovic, Zorica A. Dodevska, Boris Delibasic:
FairAW - Additive weighting without discrimination. Intell. Data Anal. 27(4): 1023-1045 (2023) - [j5]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): 1320-1339 (2023) - [c8]Boris Delibasic, Drazenko Glavic, Sandro Radovanovic, Andrija Petrovic, Marina Milenkovic, Milija Suknovic:
Multi-actor VIKOR Method for Highway Selection in Montenegro. ICDSST 2023: 3-14 - [c7]Lasse Hansen, Nabeel Seedat, Mihaela van der Schaar, Andrija Petrovic:
Reimagining Synthetic Tabular Data Generation through Data-Centric AI: A Comprehensive Benchmark. NeurIPS 2023 - [i7]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 abs/2306.05052 (2023) - [i6]Lasse Hansen, Nabeel Seedat, Mihaela van der Schaar, Andrija Petrovic:
Reimagining Synthetic Tabular Data Generation through Data-Centric AI: A Comprehensive Benchmark. CoRR abs/2310.16981 (2023) - [i5]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 abs/2311.10051 (2023) - [i4]Max Zhu, Sinisa Stanivuk, Andrija Petrovic, Mladen Nikolic, Pietro Lio:
Incorporating LLM Priors into Tabular Learners. CoRR abs/2311.11628 (2023) - 2022
- [j4]Andrija Petrovic, Aleksa Bisercic, Boris Delibasic, Dimitrije Milenkovic:
A machine learning approach for learning temporal point process. Comput. Sci. Inf. Syst. 19(2): 1007-1022 (2022) - [j3]Andrija Petrovic, Mladen Nikolic, Sandro Radovanovic, Boris Delibasic, Milos Jovanovic:
FAIR: Fair adversarial instance re-weighting. Neurocomputing 476: 14-37 (2022) - [j2]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: 34-47 (2022) - 2021
- [j1]Andrija Petrovic, Mladen Nikolic, Milos Jovanovic, Milos Bijanic, Boris Delibasic:
Fair classification via Monte Carlo policy gradient method. Eng. Appl. Artif. Intell. 104: 104398 (2021) - 2020
- [c6]Sandro Radovanovic, Andrija Petrovic, Boris Delibasic, Milija Suknovic:
Enforcing fairness in logistic regression algorithm. INISTA 2020: 1-7 - [i3]Andrija Petrovic, Mladen Nikolic, Sandro Radovanovic, Boris Delibasic, Milos Jovanovic:
FAIR: Fair Adversarial Instance Re-weighting. CoRR abs/2011.07495 (2020)
2010 – 2019
- 2019
- [c5]Vesna K. Spasojevic Brkic, Zorica A. Veljkovic, Andrija Petrovic:
Industry 4.0 Technology and Employees Behavior Interaction in Serbian Industrial Companies. AHFE (8) 2019: 94-103 - [c4]Sandro Radovanovic, Andrija Petrovic, Boris Delibasic, Milija Suknovic:
Ski Injury Predictions with Explanations. ICT Innovations 2019: 148-160 - [i2]Andrija Petrovic, Mladen Nikolic, Milos Jovanovic, Boris Delibasic:
Gaussian Conditional Random Fields for Classification. CoRR abs/1902.00045 (2019) - [i1]Marko Vasic, Andrija Petrovic, Kaiyuan Wang, Mladen Nikolic, Rishabh Singh, Sarfraz Khurshid:
MoËT: Interpretable and Verifiable Reinforcement Learning via Mixture of Expert Trees. CoRR abs/1906.06717 (2019)
1990 – 1999
- 1999
- [c3]Andrija Petrovic, Aleksa J. Zejak, Bojan Zrnic:
ECF filter design for radar applications. ICECS 1999: 663-666 - [c2]Aleksa J. Zejak, Igor Simic, Zoran Golubicic, Andrija Petrovic:
Mismatched compression filter for improved radar range resolution. ICECS 1999: 733-736 - 1998
- [c1]Andrija Petrovic, Aleksa J. Zejak, Igor Simic, Bojan Zrnic:
A new approach to ECF design is proposed based on IRLS algorithm. EUSIPCO 1998: 1-4
Coauthor Index
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