most citedPredicting Mood Disorder Symptoms with Remotely Collected Videos Using an Interpretable Multimodal Dynamic Attention Fusion Network

5 citations · 5 across the 1 of their papers we have counts for

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1 paper

cs.LG2021★ 5 cited

Predicting Mood Disorder Symptoms with Remotely Collected Videos Using an Interpretable Multimodal Dynamic Attention Fusion Network

Tathagata Banerjee, Matthew Kollada, Pablo Gersberg +4

We developed a novel, interpretable multimodal classification method to identify symptoms of mood disorders viz. depression, anxiety and anhedonia using audio, video and text colle…