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Han Yu
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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
422019
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
202020
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
132022
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
112022
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
112021
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
72022
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
62021
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
62019
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
52023
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
42022
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
32021
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
22022
LEAVES: Learning Views for Time-Series Data in Contrastive Learning
H Yu, H Yang, A Sano
arXiv preprint arXiv:2210.07340, 2022
22022
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
12023
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
12023
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
12023
PiRL: Participant-Invariant Representation Learning for Healthcare
Z Cao, H Yu, H Yang, A Sano
arXiv preprint arXiv:2211.12422, 2022
12022
Investigating Receptivity and Affect Using Machine Learning: Ecological Momentary Assessment and Wearable Sensing Study
ZD King, H Yu, T Vaessen, I Myin-Germeys, A Sano
JMIR mHealth and uHealth 12 (1), e46347, 2024
2024
Empowering Wearable Seizure Forecasting with Scheduled Sampling
P Guo, H Yu, SG Karicheri, A Kuncheria, H Yang, S Blackwell, Z Haneef, ...
2023 IEEE EMBS International Conference on Biomedical and Health Informatics …, 2023
2023
Burnout Prediction and Analysis in Shift Workers: Counterfactual Explanation Approach
Z Tang, Z King, AC Segovia, H Yu, G Braddock, A Ito, R Sakamoto, ...
2023 IEEE EMBS International Conference on Biomedical and Health Informatics …, 2023
2023
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