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PARIS: Personalized Activity Recommendation for Improving Sleep Quality
The quality of sleep has a deep impact on people's physical and mental health.
A Structured Learning Approach with Neural Conditional Random Fields for Sleep Staging
We propose an end-to-end framework that uses a combination of deep convolution and recurrent neural networks to extract high-level features from raw flow signal with a structured output layer based on a conditional random field to model the temporal transition structure of the sleep stages.
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