| Why Pre-trained Models Fail: Feature Entanglement in Multi-modal Depression Detection | Mar 9, 2025 | Data AugmentationDepression Detection | —Unverified | 0 |
| They Look Like Each Other: Case-based Reasoning for Explainable Depression Detection on Twitter using Large Language Models | Jul 21, 2024 | Decision MakingDepression Detection | —Unverified | 0 |
| A BERT-Based Summarization approach for depression detection | Sep 13, 2024 | Depression DetectionText Summarization | —Unverified | 0 |
| A Cost-aware Study of Depression Language on Social Media using Topic and Affect Contextualization | Jun 30, 2023 | ClassificationDepression Detection | —Unverified | 0 |
| A Cross-modal Review of Indicators for Depression Detection Systems | Aug 1, 2017 | Depression Detection | —Unverified | 0 |
| A Depression Detection Method Based on Multi-Modal Feature Fusion Using Cross-Attention | Jul 2, 2024 | Depression Detection | —Unverified | 0 |
| Advancing Depression Detection on Social Media Platforms Through Fine-Tuned Large Language Models | Sep 23, 2024 | Depression Detection | —Unverified | 0 |
| A Hybrid Graph Neural Network for Enhanced EEG-Based Depression Detection | Oct 8, 2024 | Depression DetectionEEG | —Unverified | 0 |
| A Linguistically-Informed Fusion Approach for Multimodal Depression Detection | Jun 1, 2018 | Depression Detection | —Unverified | 0 |
| A Multitask Deep Learning Approach for User Depression Detection on Sina Weibo | Aug 26, 2020 | ClassificationDepression Detection | —Unverified | 0 |
