| Heterogeneous Subgraph Network with Prompt Learning for Interpretable Depression Detection on Social Media | Jul 12, 2024 | Contrastive LearningDepression Detection | —Unverified | 0 |
| Depression Detection and Analysis using Large Language Models on Textual and Audio-Visual Modalities | Jul 8, 2024 | Depression Detection | —Unverified | 0 |
| A Depression Detection Method Based on Multi-Modal Feature Fusion Using Cross-Attention | Jul 2, 2024 | Depression Detection | —Unverified | 0 |
| Predicting Individual Depression Symptoms from Acoustic Features During Speech | Jun 23, 2024 | Depression DetectionPrediction | —Unverified | 0 |
| We Care: Multimodal Depression Detection and Knowledge Infused Mental Health Therapeutic Response Generation | Jun 15, 2024 | Depression DetectionResponse Generation | —Unverified | 0 |
| Underneath the Numbers: Quantitative and Qualitative Gender Fairness in LLMs for Depression Prediction | Jun 12, 2024 | Depression DetectionFairness | —Unverified | 0 |
| ComFeAT: Combination of Neural and Spectral Features for Improved Depression Detection | Jun 10, 2024 | Depression Detection | —Unverified | 0 |
| LMVD: A Large-Scale Multimodal Vlog Dataset for Depression Detection in the Wild | May 9, 2024 | Depression DetectionNavigate | CodeCode Available | 2 |
| Multi-Explainable TemporalNet: An Interpretable Multimodal Approach using Temporal Convolutional Network for User-level Depression Detection | Apr 22, 2024 | Depression Detection | —Unverified | 0 |
| DAIC-WOZ: On the Validity of Using the Therapist's prompts in Automatic Depression Detection from Clinical Interviews | Apr 22, 2024 | Depression Detection | CodeCode Available | 1 |
