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Behavioral Engagement Detection of Students in the Wild., , , , , и . AIED, том 10331 из Lecture Notes in Computer Science, стр. 250-261. Springer, (2017)Natural Language Interactions in Autonomous Vehicles: Intent Detection and Slot Filling from Passenger Utterances., , , , и . CICLing (2), том 13452 из Lecture Notes in Computer Science, стр. 334-350. Springer, (2019)Conversational Intent Understanding for Passengers in Autonomous Vehicles., , , , и . CoRR, (2019)Detecting Behavioral Engagement of Students in the Wild Based on Contextual and Visual Data., , , , , и . CoRR, (2019)The Importance of Socio-Cultural Differences for Annotating and Detecting the Affective States of Students., , , , и . CoRR, (2019)Towards an Emotional Engagement Model: Can Affective States of a Learner be Automatically Detected in a 1: 1 Learning Scenario?, , , , , , , , и . UMAP (Extended Proceedings), том 1618 из CEUR Workshop Proceedings, CEUR-WS.org, (2016)Human Expert Labeling Process: Valence-Arousal Labeling for Students' Affective States., , , , и . MIS4TEL, том 804 из Advances in Intelligent Systems and Computing, стр. 53-61. Springer, (2018)Towards Human Affect Modeling: A Comparative Analysis of Discrete Affect and Valence-Arousal Labeling., , , , и . HCI (29), том 851 из Communications in Computer and Information Science, стр. 372-379. Springer, (2018)Learner Engagement Measurement and Classification in 1: 1 Learning., , , , , , , , , и . ICMLA, стр. 545-552. IEEE, (2014)Role of Socio-cultural Differences in Labeling Students' Affective States., , , , и . AIED (1), том 10947 из Lecture Notes in Computer Science, стр. 367-380. Springer, (2018)