| It's Just a Matter of Time: Detecting Depression with Time-Enriched Multimodal Transformers | Jan 13, 2023 | Depression Detection | CodeCode Available | 1 |
| EmoVerse: Exploring Multimodal Large Language Models for Sentiment and Emotion Understanding | Dec 11, 2024 | Depression DetectionEmotion-Cause Pair Extraction | CodeCode Available | 1 |
| Node-weighted Graph Convolutional Network for Depression Detection in Transcribed Clinical Interviews | Jul 3, 2023 | Depression Detection | CodeCode Available | 1 |
| Non-uniform Speaker Disentanglement For Depression Detection From Raw Speech Signals | Jun 2, 2023 | Depression DetectionDisentanglement | CodeCode Available | 1 |
| FacialPulse: An Efficient RNN-based Depression Detection via Temporal Facial Landmarks | Aug 7, 2024 | Depression Detection | CodeCode Available | 1 |
| Context-Aware Deep Learning for Multi Modal Depression Detection | Dec 26, 2024 | Data AugmentationDeep Learning | 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 |
| FedMood: Federated Learning on Mobile Health Data for Mood Detection | Feb 6, 2021 | BIG-bench Machine LearningDepression Detection | CodeCode Available | 1 |
| Large Language Models for Depression Recognition in Spoken Language Integrating Psychological Knowledge | May 28, 2025 | Depression DetectionDiagnostic | CodeCode Available | 1 |
