| Machine Learning Algorithms for Depression Detection and Their Comparison | Jan 9, 2023 | Depression DetectionEmotional Intelligence | —Unverified | 0 |
| Care for the Mind Amid Chronic Diseases: An Interpretable AI Approach Using IoT | Nov 8, 2022 | Decision MakingDepression Detection | —Unverified | 0 |
| Deep Temporal Modelling of Clinical Depression through Social Media Text | Oct 28, 2022 | Depression Detection | —Unverified | 0 |
| Hierarchical Attention Network for Explainable Depression Detection on Twitter Aided by Metaphor Concept Mappings | Sep 15, 2022 | Decision MakingDepression Detection | —Unverified | 0 |
| Depression Symptoms Modelling from Social Media Text: A Semi-supervised Learning Approach | Sep 6, 2022 | Active LearningDepression Detection | —Unverified | 0 |
| SERCNN: Stacked Embedding Recurrent Convolutional Neural Network in Detecting Depression on Twitter | Jul 29, 2022 | Depression Detection | —Unverified | 0 |
| Unsupervised Instance Discriminative Learning for Depression Detection from Speech Signals | Jun 27, 2022 | Data AugmentationDepression Detection | —Unverified | 0 |
| A Step Towards Preserving Speakers' Identity While Detecting Depression Via Speaker Disentanglement | Jun 20, 2022 | Depression DetectionDisentanglement | —Unverified | 0 |
| TBD3: A Thresholding-Based Dynamic Depression Detection from Social Media for Low-Resource Users | Jun 1, 2022 | Depression Detection | CodeCode Available | 0 |
| Leveraging Mental Health Forums for User-level Depression Detection on Social Media | Jun 1, 2022 | Depression Detection | —Unverified | 0 |
