output
20142023
most citedUsing smartphones and wearable devices to monitor behavioural changes during COVID-19

204 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions
Showing cs.LGShow all

2 papers · 1 filter

cs.LG2023★ 3 cited

Wearable data from subjects playing Super Mario, sitting university exams, or performing physical exercise help detect acute mood episodes via self-supervised learning

Filippo Corponi, Bryan M. Li, Gerard Anmella +13

Personal sensing, leveraging data passively and near-continuously collected with wearables from patients in their ecological environment, is a promising paradigm to monitor mood di…

cs.LG2019★ 23 cited

Deep Sequential Models for Suicidal Ideation from Multiple Source Data

Ignacio Peis, Pablo M. Olmos, Constanza Vera-Varela +4

This article presents a novel method for predicting suicidal ideation from Electronic Health Records (EHR) and Ecological Momentary Assessment (EMA) data using deep sequential mode…