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Social Emotion Mining Techniques for Facebook Posts Reaction Prediction., , , , и . ICAART (2), стр. 211-220. SciTePress, (2018)VeGAN: Using GANs for Augmentation in Latent Space to Improve the Semantic Segmentation of Vehicles in Images From an Aerial Perspective., , и . WACV, стр. 1440-1448. IEEE, (2019)SEMTec: Social Emotion Mining Techniques for Analysis and Prediction of Facebook Post Reactions., , и . ICAART (Revised Selected Papers), том 11352 из Lecture Notes in Computer Science, стр. 361-382. Springer, (2018)Drone-based Generation of Sensor Reference and Training Data for Highly Automated Vehicles., , , , , и . ITSC, стр. 3067-3074. IEEE, (2021)BézierVAE: Improved Trajectory Modeling using Variational Autoencoders for the Safety Validation of Highly Automated Vehicles., , , и . ITSC, стр. 3788-3795. IEEE, (2019)Data-Driven Maneuver Modeling using Generative Adversarial Networks and Variational Autoencoders for Safety Validation of Highly Automated Vehicles., , , и . ITSC, стр. 2383-2390. IEEE, (2018)A Semi-Automated Corner Case Detection and Evaluation Pipeline., , , и . CoRR, (2023)The exiD Dataset: A Real-World Trajectory Dataset of Highly Interactive Highway Scenarios in Germany., , , , , и . IV, стр. 958-964. IEEE, (2022)Utilization and Potentials of Unmanned Aerial Vehicles (UAVs) in the Field of Automated Driving: A Survey., , , , и . ICVISP, стр. 9-17. IEEE, (2021)The inD Dataset: A Drone Dataset of Naturalistic Road User Trajectories at German Intersections., , , , , и . IV, стр. 1929-1934. IEEE, (2020)