| Climate and Weather: Inspecting Depression Detection via Emotion Recognition | Apr 29, 2022 | Depression DetectionEmotion Recognition | —Unverified | 0 |
| Improving the Generalizability of Depression Detection by Leveraging Clinical Questionnaires | Apr 21, 2022 | Depression DetectionDomain Generalization | CodeCode Available | 1 |
| Facial Expression Analysis Using Decomposed Multiscale Spatiotemporal Networks | Mar 21, 2022 | Depression Detection | —Unverified | 0 |
| Automatic Depression Detection via Learning and Fusing Features from Visual Cues | Mar 1, 2022 | Depression Detection | —Unverified | 0 |
| Prediction of Depression Severity Based on the Prosodic and Semantic Features with Bidirectional LSTM and Time Distributed CNN | Feb 25, 2022 | Depression DetectionWord Embeddings | —Unverified | 0 |
| Automatic Depression Detection: An Emotional Audio-Textual Corpus and a GRU/BiLSTM-based Model | Feb 15, 2022 | Depression DetectionDiagnostic | CodeCode Available | 2 |
| FrAUG: A Frame Rate Based Data Augmentation Method for Depression Detection from Speech Signals | Feb 11, 2022 | Data AugmentationDepression Detection | —Unverified | 0 |
| Improving Mental Health Classifier Generalization with Pre-Diagnosis Data | Jan 16, 2022 | Depression Detection | —Unverified | 0 |
| Data Augmentation for Depression Detection Using Skeleton-Based Gait Information | Jan 4, 2022 | Data AugmentationDepression Detection | —Unverified | 0 |
| Machine Learning Approach for Depression Detection in Japanese | Nov 1, 2021 | BIG-bench Machine LearningDepression Detection | —Unverified | 0 |
