Personalized wellbeing prediction using behavioral, physiological and weather data H Yu, EB Klerman, RW Picard, A Sano 2019 IEEE EMBS International Conference on Biomedical & Health Informatics …, 2019 | 46 | 2019 |
Passive sensor data based future mood, health, and stress prediction: User adaptation using deep learning H Yu, A Sano 2020 42nd Annual International Conference of the IEEE Engineering in …, 2020 | 25 | 2020 |
Bias reducing multitask learning on mental health prediction K Zanna, K Sridhar, H Yu, A Sano 2022 10th International Conference on Affective Computing and Intelligent …, 2022 | 21 | 2022 |
Semi-supervised learning and data augmentation in wearable-based momentary stress detection in the wild H Yu, A Sano arXiv preprint arXiv:2202.12935, 2022 | 17 | 2022 |
Modality fusion network and personalized attention in momentary stress detection in the wild H Yu, T Vaessen, I Myin-Germeys, A Sano 2021 9th International Conference on Affective Computing and Intelligent …, 2021 | 15 | 2021 |
Semi-supervised learning for wearable-based momentary stress detection in the wild H Yu, A Sano Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2023 | 9 | 2023 |
More to Less (M2L): Enhanced health recognition in the wild with reduced modality of wearable sensors H Yang, H Yu, K Sridhar, T Vaessen, I Myin-Germeys, A Sano 2022 44th Annual International Conference of the IEEE Engineering in …, 2022 | 8 | 2022 |
Forecasting Health and Wellbeing for Shift Workers Using Job-Role Based Deep Neural Network H Yu, A Itoh, R Sakamoto, M Shimaoka, A Sano Wireless Mobile Communication and Healthcare: 9th EAI International …, 2021 | 7 | 2021 |
Toward end-to-end prediction of future wellbeing using deep sensor representation learning B Li, H Yu, A Sano 2019 8th international conference on affective computing and intelligent …, 2019 | 7 | 2019 |
Empirical evaluation of data augmentations for biobehavioral time series data with deep learning H Yang, H Yu, A Sano arXiv preprint arXiv:2210.06701, 2022 | 6 | 2022 |
Zero-shot ECG diagnosis with large language models and retrieval-augmented generation H Yu, P Guo, A Sano Machine Learning for Health (ML4H), 650-663, 2023 | 4 | 2023 |
Leaves: learning views for time-series data in contrastive learning H Yu, H Yang, A Sano arXiv preprint arXiv:2210.07340, 2022 | 4 | 2022 |
Internet-based individualized cognitive behavioral therapy for shift work sleep disorder empowered by well-being prediction: Protocol for a pilot study A Ito-Masui, E Kawamoto, R Sakamoto, H Yu, A Sano, E Motomura, ... JMIR Research Protocols 10 (3), e24799, 2021 | 4 | 2021 |
Effect of an Internet–Delivered Cognitive Behavioral Therapy–Based Sleep Improvement App for Shift Workers at High Risk of Sleep Disorder: Single-Arm, Nonrandomized Trial A Ito-Masui, R Sakamoto, E Matsuo, E Kawamoto, E Motomura, H Tanii, ... Journal of medical Internet research 25, e45834, 2023 | 3 | 2023 |
Pirl: participant-invariant representation learning for healthcare using maximum mean discrepancy and triplet loss Z Cao, H Yu, H Yang, A Sano arXiv preprint arXiv:2302.09126, 2023 | 3 | 2023 |
Semi-supervised learning and data augmentation for wearable-based health monitoring system in the wild H Yu, A Sano NeurIPS 2022 Workshop on Learning from Time Series for Health, 2022 | 2 | 2022 |
ECG Semantic Integrator (ESI): A Foundation ECG Model Pretrained with LLM-Enhanced Cardiological Text H Yu, P Guo, A Sano arXiv preprint arXiv:2405.19366, 2024 | 1 | 2024 |
ECG-SL: Electrocardiogram (ECG) Segment Learning, a deep learning method for ECG signal H Yu, H Yang, A Sano arXiv preprint arXiv:2310.00818, 2023 | 1 | 2023 |
Towards the Understanding of Receptivity and Affect in EMAs using Physiological based Machine Learning Method: Analysis of Receptivity and Affect ZD King, H Yu, T Vaessen, I Myin-Germeys, A Sano arXiv preprint arXiv:2303.09077, 2023 | 1 | 2023 |
PiRL: Participant-Invariant Representation Learning for Healthcare Z Cao, H Yu, H Yang, A Sano arXiv preprint arXiv:2211.12422, 2022 | 1 | 2022 |