| 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 |
| 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 |
| It's Just a Matter of Time: Detecting Depression with Time-Enriched Multimodal Transformers | Jan 13, 2023 | Depression Detection | CodeCode Available | 1 |
| Multi-Task Learning for Depression Detection in Dialogs | Jul 21, 2022 | Depression DetectionMulti-Task Learning | CodeCode Available | 1 |
| Psychiatric Scale Guided Risky Post Screening for Early Detection of Depression | May 19, 2022 | Depression DetectionDiagnostic | CodeCode Available | 1 |
| OPI@LT-EDI-ACL2022: Detecting Signs of Depression from Social Media Text using RoBERTa Pre-trained Language Models | May 1, 2022 | Depression DetectionLanguage Modeling | CodeCode Available | 1 |
| Improving the Generalizability of Depression Detection by Leveraging Clinical Questionnaires | Apr 21, 2022 | Depression DetectionDomain Generalization | CodeCode Available | 1 |
| FedMood: Federated Learning on Mobile Health Data for Mood Detection | Feb 6, 2021 | BIG-bench Machine LearningDepression Detection | CodeCode Available | 1 |
