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ORCIDHealthDL@MobiSys 2020: Toronto, Ontario, Canada
- HealthDL@MobiSys 2020, Proceedings of the 2020 Deep Learning for Wellbeing Applications Leveraging Mobile Devices and Edge Computing, June 19, 2020, Toronto, ON, Canada. ACM 2020, ISBN 978-1-4503-8012-6
- Santosh Kumar:
Sensitivity, Specificity, Generalizability, and Reusability Aspirations for Machine Learning (ML) Models in mHealth. 1 - Guoliang Xing:
Tackling the Challenges of Machine Learning for Mobile Health Systems. 2 - Abrar S. Alrumayh, Chiu C. Tan:
Supporting Home Quarantine with Smart Speakers. 3-8 - Majid Sarrafzadeh:
Olivia Health Analytic Platform. 9 - Wanzhao Yang, Mooi Choo Chuah, Lifeifan Du:
M&M: Deep learning aided multi-facet mental health support tool for College Students. 10-15 - Cecilia Mascolo:
Mobile Health Diagnostics through Audio Signals. 16 - Yanzhi Wang:
Towards Ultra-Efficient DNN Inference Acceleration on Edge Devices for Wellbeing Applications. 17 - Afsaneh Doryab:
A Deep Learning Framework for Prediction of Readmission Risk After Cancer Surgery from Mobile Data Streams. 18
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