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Prediction of Happy-Sad mood from daily behaviors and previous sleep history., , , , , , , и . EMBC, стр. 6796-6799. IEEE, (2015)Personalized Multitask Learning for Predicting Tomorrow's Mood, Stress, and Health., , , , и . IEEE Trans. Affect. Comput., 11 (2): 200-213 (2020)QuantifyMe: An Automated Single-Case Experimental Design Platform., , , , и . MobiHealth, том 247 из Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, стр. 199-206. Springer, (2017)Forecasting stress, mood, and health from daytime physiology in office workers and students., , , , и . EMBC, стр. 5953-5957. IEEE, (2020)Vomit Comet Physiology: Autonomic Changes in Novice Flyers., , , , , и . EMBC, стр. 1172-1176. IEEE, (2018)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)Multimodal Ambulatory Sleep Detection Using LSTM Recurrent Neural Networks., , , , и . IEEE J. Biomed. Health Informatics, 23 (4): 1607-1617 (2019)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)Multimodal ambulatory sleep detection., , , , , , , , и . BHI, стр. 465-468. IEEE, (2017)