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07/31/2023
UDAMA: Unsupervised Domain Adaptation through Multi-discriminator Adversarial Training with Noisy Labels Improves Cardio-fitness Prediction
Deep learning models have shown great promise in various healthcare moni...
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11/20/2022
Turning Silver into Gold: Domain Adaptation with Noisy Labels for Wearable Cardio-Respiratory Fitness Prediction
Deep learning models have shown great promise in various healthcare appl...
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05/06/2022
Longitudinal cardio-respiratory fitness prediction through free-living wearable sensors
Cardiorespiratory fitness is an established predictor of metabolic disea...
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02/11/2021
SelfHAR: Improving Human Activity Recognition through Self-training with Unlabeled Data
Machine learning and deep learning have shown great promise in mobile se...
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11/18/2020
Self-supervised transfer learning of physiological representations from free-living wearable data
Wearable devices such as smartwatches are becoming increasingly popular ...
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11/09/2020
Learning Generalizable Physiological Representations from Large-scale Wearable Data
To date, research on sensor-equipped mobile devices has primarily focuse...
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02/08/2018
