| Explainable Depression Detection using Masked Hard Instance Mining | May 30, 2025 | Depression Detection | —Unverified | 0 | 0 |
| Explainable Depression Detection via Head Motion Patterns | Jul 23, 2023 | Binary ClassificationDepression Detection | —Unverified | 0 | 0 |
| Facial Expression Analysis Using Decomposed Multiscale Spatiotemporal Networks | Mar 21, 2022 | Depression Detection | —Unverified | 0 | 0 |
| Automated speech-based screening of depression using deep convolutional neural networks | Dec 2, 2019 | Depression Detection | —Unverified | 0 | 0 |
| Feature Attention Network: Interpretable Depression Detection from Social Media | Dec 1, 2018 | Depression Detection | —Unverified | 0 | 0 |
| Auto-Landmark: Acoustic Landmark Dataset and Open-Source Toolkit for Landmark Extraction | Sep 12, 2024 | Depression Detectionspeech-recognition | —Unverified | 0 | 0 |
| Few-Shot Learning for Chronic Disease Management: Leveraging Large Language Models and Multi-Prompt Engineering with Medical Knowledge Injection | Jan 16, 2024 | Depression DetectionFeature Engineering | —Unverified | 0 | 0 |
| FG 2025 TrustFAA: the First Workshop on Towards Trustworthy Facial Affect Analysis: Advancing Insights of Fairness, Explainability, and Safety (TrustFAA) | Jun 5, 2025 | Action Unit DetectionDepression Detection | —Unverified | 0 | 0 |
| Underneath the Numbers: Quantitative and Qualitative Gender Fairness in LLMs for Depression Prediction | Jun 12, 2024 | Depression DetectionFairness | —Unverified | 0 | 0 |
| FrAUG: A Frame Rate Based Data Augmentation Method for Depression Detection from Speech Signals | Feb 11, 2022 | Data AugmentationDepression Detection | —Unverified | 0 | 0 |
