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Dynamic potential-model-based feature for lane change prediction., , , , , , , , and . SMC, page 838-843. IEEE, (2016)A Hierarchy of Uniquely Parsable Grammar Classes and Deterministic Acceptors., , , and . Acta Inf., 34 (5): 389-410 (1997)Lane-Change Detection Based on Vehicle-Trajectory Prediction., , , , , , , , and . IEEE Robotics Autom. Lett., 2 (2): 1109-1116 (2017)Natural Language Query Processing for Life Science Knowledge - Position Paper., , , , , , and . AMT, volume 6335 of Lecture Notes in Computer Science, page 158-165. Springer, (2010)Umaka-Yummy Data: Where Providers and Consumers in Life Sciences Communicate with Each Other., , and . JIST (Workshops & Posters), volume 1741 of CEUR Workshop Proceedings, page 50-53. CEUR-WS.org, (2016)The Genia Event Extraction Shared Task, 2013 Edition - Overview., , and . BioNLP@ACL (Shared Task), page 8-15. Association for Computational Linguistics, (2013)A Sentence Classification System for Multi Biomedical Literature Summarization., and . ICDE Workshops, page 1163. IEEE Computer Society, (2005)Driver classification in vehicle following behavior by using dynamic potential field method., , , , , , , and . ITSC, page 1-6. IEEE, (2017)Lane-change detection based on individual driving style., , , , , , , and . Adv. Robotics, 33 (20): 1087-1098 (2019)Colil: a database and search service for citation contexts in the life sciences domain., and . J. Biomed. Semant., (2015)