| Machine Learning Algorithms for Depression Detection and Their Comparison | Jan 9, 2023 | Depression DetectionEmotional Intelligence | —Unverified | 0 | 0 |
| Machine Learning Approaches for Detecting the Depression from Resting-State Electroencephalogram (EEG): A Review Study | Sep 6, 2019 | BIG-bench Machine LearningDepression Detection | —Unverified | 0 | 0 |
| Machine Learning Approach for Depression Detection in Japanese | Nov 1, 2021 | BIG-bench Machine LearningDepression Detection | —Unverified | 0 | 0 |
| Machine Learning-based Approach for Depression Detection in Twitter Using Content and Activity Features | Mar 9, 2020 | BIG-bench Machine LearningDepression Detection | —Unverified | 0 | 0 |
| Machine Learning Fairness for Depression Detection using EEG Data | Jan 30, 2025 | Depression DetectionEEG | —Unverified | 0 | 0 |
| MOGAM: A Multimodal Object-oriented Graph Attention Model for Depression Detection | Mar 21, 2024 | Depression DetectionGraph Attention | —Unverified | 0 | 0 |
| MoodCapture: Depression Detection Using In-the-Wild Smartphone Images | Feb 25, 2024 | Depression DetectionFeature Importance | —Unverified | 0 | 0 |
| Multi-aspect Depression Severity Assessment via Inductive Dialogue System | Oct 29, 2024 | Depression DetectionEmotion Classification | —Unverified | 0 | 0 |
| What Symptoms and How Long? An Interpretable AI Approach for Depression Detection in Social Media | May 18, 2023 | Decision MakingDepression Detection | —Unverified | 0 | 0 |
| Multi-Explainable TemporalNet: An Interpretable Multimodal Approach using Temporal Convolutional Network for User-level Depression Detection | Apr 22, 2024 | Depression Detection | —Unverified | 0 | 0 |
