EviDep uses evidential learning with a Normal-Inverse-Gamma distribution, wavelet-based feature extraction, and explicit feature disentanglement to deliver accurate multimodal depression estimates with calibrated uncertainty.
A VEC 2019 Workshop and Challenge: State-of-Mind, Detecting Depression with AI, and Cross-Cultural Affect Recognition
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EviDep: Trustworthy Multimodal Depression Estimation via Disentangled Evidential Learning
EviDep uses evidential learning with a Normal-Inverse-Gamma distribution, wavelet-based feature extraction, and explicit feature disentanglement to deliver accurate multimodal depression estimates with calibrated uncertainty.