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Model-based Deep Learning for Maneuvering Target Tracking., , , and . FUSION, page 1-6. IEEE, (2023)Data Driven Vessel Trajectory Forecasting Using Stochastic Generative Models., , and . ICASSP, page 8459-8463. IEEE, (2019)Long-term vessel kinematics prediction exploiting mean-reverting processes., , , and . FUSION, page 232-239. IEEE, (2016)Maritime Anomaly Detection Based on Mean-Reverting Stochastic Processes Applied to a Real-World Scenario., , , and . FUSION, page 1171-1177. IEEE, (2018)Hybrid Bernoulli Filtering for Detection and Tracking of Anomalous Path Deviations., , and . FUSION, page 1178-1184. IEEE, (2018)Unsupervised Maritime Traffic Graph Learning with Mean-Reverting Stochastic Processes., , , , and . FUSION, page 1822-1828. IEEE, (2018)Tracking of Multiple Spawning Targets with Heterogeneous Sensors for Seabed-To-Space Situational Awareness., , , , and . ICASSP, page 13196-13200. IEEE, (2024)Bayesian Filtering for Dynamic Anomaly Detection and Tracking., , , and . IEEE Trans. Aerosp. Electron. Syst., 58 (3): 1528-1544 (2022)Anomaly Detection and Tracking Based on Mean-Reverting Processes with Unknown Parameters., , , and . ICASSP, page 8449-8453. IEEE, (2019)Bayesian Track-to-Graph Association for Maritime Traffic Monitoring., , and . EUSIPCO, page 1042-1046. IEEE, (2018)