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Predicting Tomorrow's Mood, Health, and Stress Level using Personalized Multitask Learning and Domain Adaptation.

, , , , и . AffComp@IJCAI, том 66 из Proceedings of Machine Learning Research, стр. 17-33. PMLR, (2017)

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Predicting Tomorrow's Mood, Health, and Stress Level using Personalized Multitask Learning and Domain Adaptation., , , , и . AffComp@IJCAI, том 66 из Proceedings of Machine Learning Research, стр. 17-33. PMLR, (2017)Social Influence as Intrinsic Motivation for Multi-Agent Deep Reinforcement Learning, , , , , , , и . (2018)cite arxiv:1810.08647.Predicting Affect from Gaze Data during Interaction with an Intelligent Tutoring System., , , и . Intelligent Tutoring Systems, том 8474 из Lecture Notes in Computer Science, стр. 29-38. Springer, (2014)Tackling Climate Change with Machine Learning, , , , , , , , , и 12 other автор(ы). ACM Comput. Surv., (февраля 2022)Predicting students' happiness from physiology, phone, mobility, and behavioral data., , , , , и . ACII, стр. 222-228. IEEE Computer Society, (2015)Automatic identification of artifacts in electrodermal activity data., , , , , и . EMBC, стр. 1934-1937. IEEE, (2015)Reinforcement learning from Affective Cues in Dialogue.. AffCon@AAAI, том 2614 из CEUR Workshop Proceedings, CEUR-WS.org, (2020)Understanding and Predicting Bonding in Conversations Using Thin Slices of Facial Expressions and Body Language., , , и . IVA, том 10011 из Lecture Notes in Computer Science, стр. 64-74. (2016)Sequence Tutor: Conservative Fine-Tuning of Sequence Generation Models with KL-control., , , , , и . ICML, том 70 из Proceedings of Machine Learning Research, стр. 1645-1654. PMLR, (2017)Personality, Attitudes, and Bonding in Conversations., , и . IVA, том 10011 из Lecture Notes in Computer Science, стр. 378-382. (2016)