Mile Mitrovic

According to our database, Mile Mitrovic authored at least 13 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

LLMTabBench: Evaluating LLMs on Binary Tabular Classification From Zero to Few Shots.

Daria Grushina, Kseniia Kuvshinova, Alina Kostromina, Aziz Temirkhanov, Mile Mitrovic, Dmitry Simakov

CoRR, May, 2026

Shape: A Self-Supervised 3D Geometry Foundation Model for Industrial CAD Analysis.

Bayangmbe Mounmo, Sam Chien, Mile Mitrovic

CoRR, April, 2026

2025

LightAutoDS-Tab: Multi-AutoML Agentic System for Tabular Data.

Aleksey Lapin, Igor Hromov, Stanislav Chumakov, Mile Mitrovic, Dmitry Simakov, Nikolay O. Nikitin, Andrey V. Savchenko

CoRR, July, 2025

AdUE: Improving uncertainty estimation head for LoRA adapters in LLMs.

Artem Zabolotnyi, Roman Makarov, Mile Mitrovic, Polina Proskura, Oleg Travkin, Roman Alferov, Alexey Zaytsev

CoRR, May, 2025

Supervised learning based method for condition monitoring of overhead line insulators using leakage current measurement.

Mile Mitrovic, Dmitry Titov, Klim Volkhov, Irina Lukicheva, Andrey Kudryavzev, Petr Vorobev, Qi Li, Vladimir V. Terzija

Eng. Appl. Artif. Intell., 2025

2024

Data-Driven Stochastic AC-OPF using Gaussian Processes.

Mile Mitrovic

CoRR, 2024

2023

GP CC-OPF: Gaussian Process based optimization tool for Chance-Constrained Optimal Power Flow.

Mile Mitrovic, Ognjen Kundacina, Aleksandr Lukashevich, Semen A. Budennyy, Petr Vorobev, Vladimir V. Terzija, Yury Maximov, Deepjyoti Deka

Softw. Impacts, May, 2023

Anomaly Detection, Classification and Identification Tool (ADCIT).

Sajjad Asefi, Mile Mitrovic, Dragan Cetenovic, Victor Levi, Elena N. Gryazina, Vladimir V. Terzija

Softw. Impacts, March, 2023

Supporting Future Electrical Utilities: Using Deep Learning Methods in EMS and DMS Algorithms.

Ognjen Kundacina, Gorana Gojic, Mile Mitrovic, Dragisa Miskovic, Dejan Vukobratovic

CoRR, 2023

GP CC-OPF: Gaussian Process based optimization tool for Chance-Constrained Optimal Power Flow.

Mile Mitrovic, Ognjen Kundacina, Aleksandr Lukashevich, Petr Vorobev, Vladimir V. Terzija, Yury Maximov, Deepjyoti Deka

CoRR, 2023

2022

Power System Anomaly Detection and Classification Utilizing WLS-EKF State Estimation and Machine Learning.

Sajjad Asefi, Mile Mitrovic, Dragan Cetenovic, Victor Levi, Elena N. Gryazina, Vladimir V. Terzija

CoRR, 2022

Data-Driven Chance Constrained AC-OPF using Hybrid Sparse Gaussian Processes.

Mile Mitrovic, Aleksandr Lukashevich, Petr Vorobev, Vladimir V. Terzija, Yury Maximov, Deepjyoti Deka

CoRR, 2022

Data-Driven Stochastic AC-OPF using Gaussian Processes.

Mile Mitrovic, Aleksandr Lukashevich, Petr Vorobev, Vladimir V. Terzija, Semen A. Budennyy, Yury Maximov, Deepjyoti Deka

CoRR, 2022