Genevieve Lam

Context-aware Deep Learning for Multi-modal Depression Detection

In this study, we focus on automated approaches to detect depression from clinical interviews using machine learning approached, which the models are trained on multi-modal data. Differentiating from successful machine learning approaches such as context-aware analysis through feature engineering an…