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Utilizing dataset affinity prediction in object detection to assess training data., , , , and . CoRR, (2023)Introducing Probabilistic Bézier Curves for N-Step Sequence Prediction., , and . AAAI, page 10162-10169. AAAI Press, (2020)Probabilistic Parametric Curves for Sequence Modeling.. Karlsruhe Institute of Technology, Germany, (2022)An RNN-Based IMM Filter Surrogate., , , and . SCIA, volume 11482 of Lecture Notes in Computer Science, page 387-398. Springer, (2019)MissFormer: (In-)Attention-Based Handling of Missing Observations for Trajectory Filtering and Prediction., , , , and . ISVC (1), volume 13017 of Lecture Notes in Computer Science, page 521-533. Springer, (2021)Handling Missing Observations with an RNN-based Prediction-Update Cycle., , , , and . CAIP (1), volume 13052 of Lecture Notes in Computer Science, page 311-321. Springer, (2021)RED: A Simple but Effective Baseline Predictor for the TrajNet Benchmark., , , and . ECCV Workshops (3), volume 11131 of Lecture Notes in Computer Science, page 138-153. Springer, (2018)Tiefe neuronale Netze., , , and . Handbuch der Künstlichen Intelligenz, De Gruyter, (2020)Particle-based Pedestrian Path Prediction using LSTM-MDL Models., , , and . ITSC, page 2684-2691. IEEE, (2018)Generating Synthetic Training Data for Deep Learning-based UAV Trajectory Prediction., , , , and . ROBOVIS, page 13-21. SCITEPRESS, (2021)