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ORCIDOgnjen Kundacina
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2020 – today
- 2024
[i14]Ognjen Kundacina, Vladimir Vincan, Dragisa Miskovic:
Combining X-Vectors and Bayesian Batch Active Learning: Two-Stage Active Learning Pipeline for Speech Recognition. CoRR abs/2406.02566 (2024)- [i13]Vukan Ninkovic, Ognjen Kundacina, Dejan Vukobratovic, Christian Häger, Alexandre Graell i Amat:
Decoding Quantum LDPC Codes Using Graph Neural Networks. CoRR abs/2408.05170 (2024) - 2023
- [j1]Mile Mitrovic
, Ognjen Kundacina, Aleksandr Lukashevich, Semen A. Budennyy, Petr Vorobev, Vladimir V. Terzija, Yury Maximov, Deepjyoti Deka:
GP CC-OPF: Gaussian Process based optimization tool for Chance-Constrained Optimal Power Flow. Softw. Impacts 16: 100489 (2023) - [i12]Mile Mitrovic, Ognjen Kundacina, Aleksandr Lukashevich, Petr Vorobev, Vladimir V. Terzija, Yury Maximov, Deepjyoti Deka:
GP CC-OPF: Gaussian Process based optimization tool for Chance-Constrained Optimal Power Flow. CoRR abs/2302.08454 (2023) - [i11]Ognjen Kundacina, Gorana Gojic, Mirsad Cosovic, Dragisa Miskovic, Dejan Vukobratovic:
Scalability and Sample Efficiency Analysis of Graph Neural Networks for Power System State Estimation. CoRR abs/2303.00105 (2023) - [i10]Ognjen Kundacina, Gorana Gojic, Mile Mitrovic, Dragisa Miskovic, Dejan Vukobratovic:
Supporting Future Electrical Utilities: Using Deep Learning Methods in EMS and DMS Algorithms. CoRR abs/2303.00428 (2023) - [i9]Ognjen Kundacina, Mirsad Cosovic, Dragisa Miskovic, Dejan Vukobratovic:
Graph Neural Networks on Factor Graphs for Robust, Fast, and Scalable Linear State Estimation with PMUs. CoRR abs/2304.14680 (2023) - [i8]Gorana Gojic, Vladimir Vincan, Ognjen Kundacina, Dragisa Miskovic, Dinu Dragan:
Non-adversarial Robustness of Deep Learning Methods for Computer Vision. CoRR abs/2305.14986 (2023) - [i7]Gorana Gojic, Ognjen Kundacina, Dragisa Miskovic, Dinu Dragan:
Overview of Deep Learning Methods for Retinal Vessel Segmentation. CoRR abs/2306.06116 (2023) - [i6]Ognjen Kundacina:
Application of Deep Learning Methods in Monitoring and Optimization of Electric Power Systems. CoRR abs/2309.00498 (2023) - 2022
- [c2]Ognjen Kundacina, Mirsad Cosovic, Dragisa Miskovic, Dejan Vukobratovic:
Distributed Nonlinear State Estimation in Electric Power Systems using Graph Neural Networks. SmartGridComm 2022: 8-13 - [c1]Ognjen Kundacina, Miodrag Forcan, Mirsad Cosovic, Darijo Raca, Merim Dzaferagic, Dragisa Miskovic, Mirjana Maksimovic, Dejan Vukobratovic:
Near Real-Time Distributed State Estimation via AI/ML-Empowered 5G Networks. SmartGridComm 2022: 284-289 - [i5]Ognjen Kundacina, Mirsad Cosovic, Dejan Vukobratovic:
State Estimation in Electric Power Systems Leveraging Graph Neural Networks. CoRR abs/2201.04056 (2022) - [i4]Ognjen Kundacina, Mirsad Cosovic, Dejan Vukobratovic:
Robust and Fast Data-Driven Power System State Estimator Using Graph Neural Networks. CoRR abs/2206.02731 (2022) - [i3]Ognjen Kundacina, Miodrag Forcan, Mirsad Cosovic, Darijo Raca, Merim Dzaferagic, Dragisa Miskovic, Mirjana Maksimovic, Dejan Vukobratovic:
Near Real-Time Distributed State Estimation via AI/ML-Empowered 5G Networks. CoRR abs/2207.11117 (2022) - [i2]Ognjen Kundacina, Mirsad Cosovic, Dragisa Miskovic, Dejan Vukobratovic:
Distributed Nonlinear State Estimation in Electric Power Systems using Graph Neural Networks. CoRR abs/2207.11465 (2022) - 2020
- [i1]Ognjen Stanojev, Ognjen Kundacina, Uros Markovic, Evangelos Vrettos, Petros Aristidou, Gabriela Hug:
A Reinforcement Learning Approach for Fast Frequency Control in Low-Inertia Power Systems. CoRR abs/2007.05474 (2020)
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