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QuantifyMe: An Open-Source Automated Single-Case Experimental Design Platform.

S. Taylor, A. Sano, C. Ferguson, A. Mohan, и R. Picard. Sensors, 18 (4): 1097 (2018)

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Ulrike Taylor

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Другие публикации лиц с тем же именем

QuantifyMe: An Automated Single-Case Experimental Design Platform.A. Sano, S. Taylor, C. Ferguson, A. Mohan, и R. Picard. MobiHealth, том 247 из Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, стр. 199-206. Springer, (2017)Prediction of Happy-Sad mood from daily behaviors and previous sleep history.A. Sano, A. Yu, A. McHill, A. Phillips, S. Taylor, N. Jaques, E. Klerman, и R. Picard. EMBC, стр. 6796-6799. IEEE, (2015)Vomit Comet Physiology: Autonomic Changes in Novice Flyers.K. Johnson, S. Taylor, S. Fedor, N. Jaques, W. Chen, и R. Picard. EMBC, стр. 1172-1176. IEEE, (2018)Forecasting stress, mood, and health from daytime physiology in office workers and students.T. Umematsu, A. Sano, S. Taylor, M. Tsujikawa, и R. Picard. EMBC, стр. 5953-5957. IEEE, (2020)Predicting Tomorrow's Mood, Health, and Stress Level using Personalized Multitask Learning and Domain Adaptation.N. Jaques, O. Rudovic, S. Taylor, A. Sano, и R. Picard. AffComp@IJCAI, том 66 из Proceedings of Machine Learning Research, стр. 17-33. PMLR, (2017)Multimodal Ambulatory Sleep Detection Using LSTM Recurrent Neural Networks.A. Sano, W. Chen, D. Martinez, S. Taylor, и R. Picard. IEEE J. Biomed. Health Informatics, 23 (4): 1607-1617 (2019)Automatic identification of artifacts in electrodermal activity data.S. Taylor, N. Jaques, W. Chen, S. Fedor, A. Sano, и R. Picard. EMBC, стр. 1934-1937. IEEE, (2015)Predicting students' happiness from physiology, phone, mobility, and behavioral data.N. Jaques, S. Taylor, A. Azaria, A. Ghandeharioun, A. Sano, и R. Picard. ACII, стр. 222-228. IEEE Computer Society, (2015)Wavelet-based motion artifact removal for electrodermal activity.W. Chen, N. Jaques, S. Taylor, A. Sano, S. Fedor, и R. Picard. EMBC, стр. 6223-6226. IEEE, (2015)Multimodal autoencoder: A deep learning approach to filling in missing sensor data and enabling better mood prediction.N. Jaques, S. Taylor, A. Sano, и R. Picard. ACII, стр. 202-208. IEEE Computer Society, (2017)

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