| Automatic Depression Detection: An Emotional Audio-Textual Corpus and a GRU/BiLSTM-based Model | Feb 15, 2022 | Depression DetectionDiagnostic | CodeCode Available | 2 |
| GLOBEM Dataset: Multi-Year Datasets for Longitudinal Human Behavior Modeling Generalization | Nov 4, 2022 | Depression DetectionDomain Generalization | CodeCode Available | 2 |
| Reading Between the Frames: Multi-Modal Depression Detection in Videos from Non-Verbal Cues | Jan 5, 2024 | Depression Detection | CodeCode Available | 2 |
| DepMamba: Progressive Fusion Mamba for Multimodal Depression Detection | Sep 24, 2024 | Depression DetectionMamba | CodeCode Available | 2 |
| LMVD: A Large-Scale Multimodal Vlog Dataset for Depression Detection in the Wild | May 9, 2024 | Depression DetectionNavigate | CodeCode Available | 2 |
| FedMood: Federated Learning on Mobile Health Data for Mood Detection | Feb 6, 2021 | BIG-bench Machine LearningDepression Detection | CodeCode Available | 1 |
| HiQuE: Hierarchical Question Embedding Network for Multimodal Depression Detection | Aug 7, 2024 | Depression DetectionEmotion Recognition | CodeCode Available | 1 |
| 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 |
| Attention-Based Acoustic Feature Fusion Network for Depression Detection | Aug 24, 2023 | Depression Detection | CodeCode Available | 1 |
| Context-Aware Deep Learning for Multi Modal Depression Detection | Dec 26, 2024 | Data AugmentationDeep Learning | CodeCode Available | 1 |
