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Making Sense of Sleep: Multimodal Sleep Stage Classification in a Large, Diverse Population Using Movement and Cardiac Sensing., , , , and . Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 4 (2): 67:1-67:33 (2020)Digital phenotyping and sensitive health data: Implications for data governance., , , , and . J. Am. Medical Informatics Assoc., 28 (9): 2002-2008 (2021)Longitudinal cardio-respiratory fitness prediction through free-living wearable sensors., , , , , and . CoRR, (2022)Longitudinal cardio-respiratory fitness prediction through wearables in free-living environments., , , , , , and . npj Digit. Medicine, (2022)Turning Silver into Gold: Domain Adaptation with Noisy Labels for Wearable Cardio-Respiratory Fitness Prediction., , , , , , , and . CoRR, (2022)Self-supervised transfer learning of physiological representations from free-living wearable data., , , , and . CoRR, (2020)Learning Generalizable Physiological Representations from Large-scale Wearable Data., , , , and . CoRR, (2020)Past, Present, and Future of Multisensory Wearable Technology to Monitor Sleep and Circadian Rhythms., , and . Frontiers Digit. Health, (2021)Erratum to: Digital phenotyping and sensitive health data: Implications for data governance., , , , and . J. Am. Medical Informatics Assoc., 28 (12): 2749 (2021)SelfHAR: Improving Human Activity Recognition through Self-training with Unlabeled Data., , , , , and . CoRR, (2021)