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Learning to Predict Human Stress Level with Incomplete Sensor Data from Wearable Devices

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Year: 2019
Type: conference-paper
Source: ACM International Conference on Information and Knowledge Management (CIKM)
DOI: 10.1145/3357384.3357831
Authors: Jyun-Yu Jiang, Zehan Chao, Andrea L. Bertozzi, Wei Wang, Sean D. Young, Deanna Needell
Institutions: University of California, Los Angeles, University of California, Irvine
Language: English

Topic: Emotion and Mood Recognition
Subfield: Experimental and Cognitive Psychology
Field: Psychology
Domain: Social Sciences
SDG: Good health and well-being

Open Access status: closed

Funders: National Science Foundation, National Institute of Allergy and Infectious Diseases
Awards: G23170268, NRT-HDR: Modeling and Understanding Human Behavior: Harnessing Data from Genes to Social Networks
OpenAlex ID: W2983153162
FWCI: 1.88
Cites: 43
Cited by: 16
Related to: 10
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