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Stressalyzer: Convolutional Neural Network Framework for Personalized Stress Classification

A stress classification and personalization framework based on Convolutional Neural Networks.

Designing Deep Neural Networks Robust to Sensor Failure in Mobile Health Environments

We propose an algorithm that can reconstruct the missing input data for unavailable sensors.

Comparing the Predictability of Sensor Modalities to Detect Stress from Wearable Sensor Data