| Godina | Naslov | Autor(i) | Tip rezultata | Mp-kat. |
|---|---|---|---|---|
| 2026 | Sensing-Assisted Adaptive Beam Probing With Calibrated Multimodal Priors and Uncertainty-Aware Scheduling | Orimogunje, Abidemi; Ninkovic, Vukan; Kundacina, Ognjen | Naučni članak | 21M21 - Vodeći međunarodni časopis kategorije M21 |
| 2025 | JuliaGrid: An open-source julia-based framework for power system state estimation![]() | Cosovic, Mirsad | Naučni članak | 21M21 - Vodeći međunarodni časopis kategorije M21 |
| 2025 | Conformal Anomaly Detection for Predictive Maintenance in Thermal Power Plants![]() | Kundacina, Ognjen | Naučni članak | 21M21 - Vodeći međunarodni časopis kategorije M21 |
| 2025 | Advancing microfluidic design with machine learning: a Bayesian optimization approach![]() | Kundačina, Ivana | Article | 21aM21a |
| 2025 | Conformal Prediction Strategy for Minimizing Error Intervals in PV Power Production Forecasting![]() | Ilić, Uroš | Conference Paper | Mp. category will be shown later |
| 2025 | Combining X-Vectors and Bayesian Batch Active Learning: Two-Stage Active Learning Pipeline for Speech Recognition | Kundacina, Ognjen | Article | Mp. category will be shown later |
| 2025 | PyMED-DX: A Python tool for diagnostic value evaluation of 2D medical images | Gojic, Gorana | Article | 21M21 |
| 2024 | Overview of Deep Learning Methods for Retinal Vessel Segmentation![]() | Gojić, Gorana | Book parts | Mp. category will be shown later |
| 2024 | Decoding Quantum LDPC Codes Using Graph Neural Networks![]() | Ninkovic, Vukan | Conference Paper | Mp. category will be shown later |
| 2024 | Veb servis za podršku aplikacijama za video konferencije baziran na dubokom učenju![]() | Ognjen Kundacina | Technical reports | 82 MNO za elektrotehniku, telekomunikacije i informacione tehnologije (29.03.2024.)M82 |
| 2023 | Scalability and sample efficiency analysis of graph neural networks for power system state estimation![]() | Kundačina, Ognjen | Conference Paper | Mp. category will be shown later |
| 2023 | Non-adversarial Robustness of Deep Learning Methods for Computer Vision![]() | Gojić, G.; Vincan, V.; Kundačina, O. | Other | Mp. category will be shown later |
| 2023 | Application of Deep Learning Methods in Monitoring and Optimization of Electric Power Systems![]() | Kundačina, Ognjen | Doctoral theses | 70M70 |
| 2023 | Graph neural networks on factor graphs for robust, fast, and scalable linear state estimation with pmus![]() | Kundačina, Ognjen | Article | 21M21 |
| 2023 | Supporting Future Electrical Utilities: Using Deep Learning Methods in Ems and Dms Algorithms![]() | Kundačina, Ognjen | Conference Paper | Mp. category will be shown later |
| 2023 | GP CC-OPF: Gaussian Process based optimization tool for Chance-Constrained Optimal Power Flow | Mitrović, Mile; Kundačina, Ognjen | Article | 22M22 |
| 2022 | State Estimation in Electric Power Systems Leveraging Graph Neural Networks![]() | Kundačina, Ognjen | Conference Paper | Mp. category will be shown later |
| 2022 | Near real-time distributed state estimation via ai/ml-empowered 5g networks![]() | Kundačina, Ognjen | Conference Paper | Mp. category will be shown later |
| 2022 | Metod za estimaciju napona elektroenergetskog sistema putem mašinskog učenja zasnovanog na grafovskim neuronskim mrežama![]() | Ognjen Kundacina | Patent | Mp. category will be shown later |
| 2022 | Distributed nonlinear state estimation in electric power systems using graph neural networks![]() | Kundačina, Ognjen | Conference Paper | Mp. category will be shown later |