depression detection

ReDepress: A Cognitive Framework for Detecting Depression Relapse from Social Media EMNLP 2025 Speech and Text Foundation Models for Depression Detection: Cross-Task and Cross-Language Evaluation Interspeech 2025 Speech Reference Intervals: An Assessment of Feasibility in Depression Symptom Severity Prediction Interspeech 2025 SpeechT-RAG: Reliable Depression Detection in LLMs with Retrieval-Augmented Generation Using Speech Timing Information ACL 2025 Test-Time Training for Speech-based Depression Detection Interspeech 2025 Towards Machine Unlearning for Paralinguistic Speech Processing Interspeech 2025 Tracking Life’s Ups and Downs: Mining Life Events from Social Media Posts for Mental Health Analysis ACL 2025 A Cross-Attention Layer coupled with Multimodal Fusion Methods for Recognizing Depression from Spontaneous Speech Interspeech 2024 Analysing relevance of Discourse Structure for Improved Mental Health Estimation EACL 2024 ComFeAT: combination of neural and spectral features for improved depression detection Interspeech 2024 Confidence Estimation for Automatic Detection of Depression and Alzheimer’s Disease Based on Clinical Interviews Interspeech 2024 Context is Important in Depressive Language: A Study of the Interaction Between the Sentiments and Linguistic Markers in Reddit Discussions ACL 2024 DAIC-WOZ: On the Validity of Using the Therapist’s prompts in Automatic Depression Detection from Clinical Interviews NAACL 2024 Depression Detection in Clinical Interviews with LLM-Empowered Structural Element Graph NAACL 2024 Depression Detection via Capsule Networks with Contrastive Learning AAAI 2024 DepressMind: A Depression Surveillance System for Social Media Analysis EACL 2024 Diverse Perspectives, Divergent Models: Cross-Cultural Evaluation of Depression Detection on Twitter NAACL 2024 ESDM: Early Sensing Depression Model in Social Media Streams COLING 2024 Establishing Control Corpora for Depression Detection in Modern Greek: Methodological Insights COLING 2024 Explainable Depression Detection Using Large Language Models on Social Media Data EACL 2024 FairReFuse: Referee-Guided Fusion for Multi-Modal Causal Fairness in Depression Detection IJCAI 2024 Identifying Fine-grained Depression Signs in Social Media Posts COLING 2024 Investigation of Layer-Wise Speech Representations in Self-Supervised Learning Models: A Cross-Lingual Study in Detecting Depression Interspeech 2024 Leveraging LLMs for Translating and Classifying Mental Health Data EMNLP 2024 LLM Questionnaire Completion for Automatic Psychiatric Assessment EMNLP 2024