Ognjen Kundacina

According to our database, Ognjen Kundacina authored at least 15 papers between 2020 and 2024.

Collaborative distances:

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

2024

Decoding Quantum LDPC Codes Using Graph Neural Networks.

Vukan Ninkovic, Ognjen Kundacina, Dejan Vukobratovic, Christian Häger, Alexandre Graell i Amat

CoRR, 2024

Combining X-Vectors and Bayesian Batch Active Learning: Two-Stage Active Learning Pipeline for Speech Recognition.

Ognjen Kundacina, Vladimir Vincan, Dragisa Miskovic

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

Application of Deep Learning Methods in Monitoring and Optimization of Electric Power Systems.

Ognjen Kundacina

CoRR, 2023

Overview of Deep Learning Methods for Retinal Vessel Segmentation.

Gorana Gojic, Ognjen Kundacina, Dragisa Miskovic, Dinu Dragan

CoRR, 2023

Non-adversarial Robustness of Deep Learning Methods for Computer Vision.

Gorana Gojic, Vladimir Vincan, Ognjen Kundacina, Dragisa Miskovic, Dinu Dragan

CoRR, 2023

Graph Neural Networks on Factor Graphs for Robust, Fast, and Scalable Linear State Estimation with PMUs.

Ognjen Kundacina, Mirsad Cosovic, Dragisa Miskovic, Dejan Vukobratovic

CoRR, 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

Scalability and Sample Efficiency Analysis of Graph Neural Networks for Power System State Estimation.

Ognjen Kundacina, Gorana Gojic, Mirsad Cosovic, 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

Robust and Fast Data-Driven Power System State Estimator Using Graph Neural Networks.

Ognjen Kundacina, Mirsad Cosovic, Dejan Vukobratovic

CoRR, 2022

State Estimation in Electric Power Systems Leveraging Graph Neural Networks.

Ognjen Kundacina, Mirsad Cosovic, Dejan Vukobratovic

CoRR, 2022

Near Real-Time Distributed State Estimation via AI/ML-Empowered 5G Networks.

Ognjen Kundacina, Miodrag Forcan, Mirsad Cosovic, Darijo Raca, Merim Dzaferagic, Dragisa Miskovic, Mirjana Maksimovic, Dejan Vukobratovic

Proceedings of the IEEE International Conference on Communications, 2022

Distributed Nonlinear State Estimation in Electric Power Systems using Graph Neural Networks.

Ognjen Kundacina, Mirsad Cosovic, Dragisa Miskovic, Dejan Vukobratovic

Proceedings of the IEEE International Conference on Communications, 2022

2020

A Reinforcement Learning Approach for Fast Frequency Control in Low-Inertia Power Systems.

Ognjen Stanojev, Ognjen Kundacina, Uros Markovic, Evangelos Vrettos, Petros Aristidou, Gabriela Hug

CoRR, 2020