Proceedings of Deep Learning for Wellbeing Applications Leveraging Mobile Devices and Edge Computing
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Towards Ultra-Efficient DNN Inference Acceleration on Edge Devices for Wellbeing Applications

Proceedings of Deep Learning for Wellbeing Applications Leveraging Mobile Devices and Edge Computing ◽

10.1145/3396868.3402499 ◽

2020 ◽

Author(s):

Yanzhi Wang

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Olivia Health Analytic Platform

Proceedings of Deep Learning for Wellbeing Applications Leveraging Mobile Devices and Edge Computing ◽

10.1145/3396868.3402497 ◽

2020 ◽

Author(s):

Majid sarrafzadeh

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Tackling the Challenges of Machine Learning for Mobile Health Systems

Proceedings of Deep Learning for Wellbeing Applications Leveraging Mobile Devices and Edge Computing ◽

10.1145/3396868.3402496 ◽

2020 ◽

Author(s):

Guoliang Xing

Keyword(s):

Machine Learning ◽

Health Systems ◽

Mobile Health ◽

Mobile Health Systems

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M&M

Proceedings of Deep Learning for Wellbeing Applications Leveraging Mobile Devices and Edge Computing ◽

10.1145/3396868.3400898 ◽

2020 ◽

Author(s):

Wanzhao Yang ◽

Mooi Choo Chuah ◽

Lifeifan Du

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Mobile Health Diagnostics through Audio Signals

Proceedings of Deep Learning for Wellbeing Applications Leveraging Mobile Devices and Edge Computing ◽

10.1145/3396868.3402498 ◽

2020 ◽

Author(s):

Cecilia Mascolo

Keyword(s):

Mobile Health ◽

Audio Signals

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Sensitivity, Specificity, Generalizability, and Reusability Aspirations for Machine Learning (ML) Models in mHealth

Proceedings of Deep Learning for Wellbeing Applications Leveraging Mobile Devices and Edge Computing ◽

10.1145/3396868.3402495 ◽

2020 ◽

Author(s):

Santosh Kumar

Keyword(s):

Machine Learning ◽

Sensitivity Specificity

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Supporting Home Quarantine with Smart Speakers

Proceedings of Deep Learning for Wellbeing Applications Leveraging Mobile Devices and Edge Computing ◽

10.1145/3396868.3400897 ◽

2020 ◽

Author(s):

Abrar S. Alrumayh ◽

Chiu C. Tan

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A Deep Learning Framework for Prediction of Readmission Risk After Cancer Surgery from Mobile Data Streams

Proceedings of Deep Learning for Wellbeing Applications Leveraging Mobile Devices and Edge Computing ◽

10.1145/3396868.3402500 ◽

2020 ◽

Author(s):

Afsaneh Doryab

Keyword(s):

Deep Learning ◽

Data Streams ◽

Cancer Surgery ◽

Mobile Data ◽

Learning Framework ◽

After Cancer ◽

Readmission Risk

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Proceedings of Deep Learning for Wellbeing Applications Leveraging Mobile Devices and Edge ComputingLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By ACM

Towards Ultra-Efficient DNN Inference Acceleration on Edge Devices for Wellbeing Applications

Olivia Health Analytic Platform

Tackling the Challenges of Machine Learning for Mobile Health Systems

M&M

Mobile Health Diagnostics through Audio Signals

Sensitivity, Specificity, Generalizability, and Reusability Aspirations for Machine Learning (ML) Models in mHealth

Supporting Home Quarantine with Smart Speakers

A Deep Learning Framework for Prediction of Readmission Risk After Cancer Surgery from Mobile Data Streams

Proceedings of Deep Learning for Wellbeing Applications Leveraging Mobile Devices and Edge Computing
Latest Publications