depression detection

AI in the Wild: A Meta-Analytic Evaluation of Depression Detection from Social Media Data AAAI 2026 ALERT: Adversarial Learning Enhanced Stability-aware Routing Transformer for Adaptive Depression Detection AAAI 2026 A Multimodal EEG-Eye Movement Model for Automatic Depression Detection AAAI 2026 Explainable Depression Assessment from Face Videos by Weakly Supervised Learning AAAI 2026 FedMental: Evaluating Federated Learning for Mental Health Detection from Social Media Data ACL 2026 Fine-tuning Zero-shot Large Language Models for Patient-reported Outcomes (Student Abstract) AAAI 2026 Linguistic Features Competitive with Bert! Leveraging Speech for Detection of Mental Health in Paediatric Lupus EACL 2026 A Hybrid Transformer–Sequential Model for Depression Detection in Bangla–English Code-Mixed Text AACL 2025 An interpretable speech foundation model for depression detection by revealing prediction-relevant acoustic features from long speech Interspeech 2025 Are LLMs effective psychological assessors? Leveraging adaptive RAG for interpretable mental health screening through psychometric practice ACL 2025 Can Speech Accurately Detect Depression in Patients With Comorbid Dementia? An Approach for Mitigating Confounding Effects of Depression and Dementia Interspeech 2025 Datasets for Depression Modeling in Social Media: An Overview NAACL 2025 DepressGEN: Synthetic Data Generation Framework for Depression Detection Interspeech 2025 Depression Detection on Social Media with Large Language Models EMNLP 2025 Emotion-Guided Graph Attention Networks for Speech-Based Depression Detection under Emotion-Inducting Tasks Interspeech 2025 End-to-End Learnable Psychiatric Scale Guided Risky Post Screening for Depression Detection on Social Media EMNLP 2025 Enhancing Depression Detection via Question-wise Modality Fusion NAACL 2025 Explainable Depression Detection in Clinical Interviews with Personalized Retrieval-Augmented Generation ACL 2025 Explainable Depression Detection using Masked Hard Instance Mining Interspeech 2025 Exploring Large Language Models for Detecting Mental Disorders EMNLP 2025 M3L: A Multi-Modal and Multi-Lingual Depression Detection Framework Interspeech 2025 Mental-Perceiver: Audio-Textual Multi-Modal Learning for Estimating Mental Disorders AAAI 2025 Mitigating Interviewer Bias in Multimodal Depression Detection: An Approach with Adversarial Learning and Contextual Positional Encoding EMNLP 2025 Multimodal Interpretable Depression Analysis using Visual Physiological Audio and Textual Data WACV 2025 Predicting Depression in Screening Interviews from Interactive Multi-Theme Collaboration ACL 2025