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Personalized Multitask Learning for Predicting Tomorrow's Mood, Stress, and Health., , , , and . IEEE Trans. Affect. Comput., 11 (2): 200-213 (2020)QuantifyMe: An Automated Single-Case Experimental Design Platform., , , , and . MobiHealth, volume 247 of Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, page 199-206. Springer, (2017)Prediction of Happy-Sad mood from daily behaviors and previous sleep history., , , , , , , and . EMBC, page 6796-6799. IEEE, (2015)Forecasting stress, mood, and health from daytime physiology in office workers and students., , , , and . EMBC, page 5953-5957. IEEE, (2020)Vomit Comet Physiology: Autonomic Changes in Novice Flyers., , , , , and . EMBC, page 1172-1176. IEEE, (2018)Predicting Tomorrow's Mood, Health, and Stress Level using Personalized Multitask Learning and Domain Adaptation., , , , and . AffComp@IJCAI, volume 66 of Proceedings of Machine Learning Research, page 17-33. PMLR, (2017)Multimodal Ambulatory Sleep Detection Using LSTM Recurrent Neural Networks., , , , and . IEEE J. Biomed. Health Informatics, 23 (4): 1607-1617 (2019)Predicting students' happiness from physiology, phone, mobility, and behavioral data., , , , , and . ACII, page 222-228. IEEE Computer Society, (2015)Automatic identification of artifacts in electrodermal activity data., , , , , and . EMBC, page 1934-1937. IEEE, (2015)Multimodal ambulatory sleep detection., , , , , , , , and . BHI, page 465-468. IEEE, (2017)