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The Importance of Balanced Data Sets: Analyzing a Vehicle Trajectory Prediction Model based on Neural Networks and Distributed Representations., , and . CoRR, (2020)Neuromorphic sensorimotor adaptation for robotic mobile manipulation: From sensing to behaviour., , , and . Cogn. Syst. Res., (2018)Detection of abnormal driving situations using distributed representations and unsupervised learning., , and . ESANN, page 363-368. (2020)Social Navigation with Human Empowerment Driven Deep Reinforcement Learning., , and . ICANN (2), volume 12397 of Lecture Notes in Computer Science, page 395-407. Springer, (2020)Towards cognitive automotive environment modelling: reasoning based on vector representations., , and . ESANN, (2018)Pruning CNNs for LiDAR-based Perception in Resource Constrained Environments., , , , , , , , and . IV Workshops, page 228-235. IEEE, (2021)Multivariate Time Series Analysis for Driving Style Classification using Neural Networks and Hyperdimensional Computing., , , and . IV, page 602-609. IEEE, (2021)A modular hybrid localization approach for mobile robots combining local grid maps and natural landmarks., , , , , and . SAC, page 287-290. ACM, (2016)Analyzing the Capacity of Distributed Vector Representations to Encode Spatial Information., , and . CoRR, (2020)Predicting vehicle behaviour using LSTMs and a vector power representation for spatial positions., , , and . ESANN, (2019)