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Found 3 papers, 1 papers with code
Curvature Filtrations for Graph Generative Model Evaluation
Graph generative model evaluation necessitates understanding differences between graphs on the distributional level.
End-To-End Prediction of Emotion From Heartbeat Data Collected by a Consumer Fitness Tracker
We present here a Bayesian deep learning model for end-to-end classification of emotional valence, using only the unimodal heartbeat time series collected by a consumer fitness tracker (Garmin V\'ivosmart 3).
A Bayesian Deep Learning Framework for End-To-End Prediction of Emotion from Heartbeat
However, in practice, collection of physiological data `in the wild' is currently limited to heartbeat time series of the kind generated by affordable wearable heart monitors.
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