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Found 4 papers, 1 papers with code
Scaling Representation Learning from Ubiquitous ECG with State-Space Models
We train this model in a self-supervised manner with 275, 000 10s ECG recordings collected in the wild and evaluate it on a range of downstream tasks.
Emotion Recognition Using Wearables: A Systematic Literature Review Work in progress
Wearables like smartwatches or wrist bands equipped with pervasive sensors enable us to monitor our physiological signals.
An "outside the box" solution for imbalanced data classification
The advantage is especially noticeable for the smallest data sets, for which existing methods failed, while our solutions achieved the best results.
Using Machine Learning to Predict the Evolution of Physics Research
The advancement of science as outlined by Popper and Kuhn is largely qualitative, but with bibliometric data it is possible and desirable to develop a quantitative picture of scientific progress.
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