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Depression Detection

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Showing 1–50 of 157 papers

TitleStatusHype
DepMamba: Progressive Fusion Mamba for Multimodal Depression DetectionCode2
LMVD: A Large-Scale Multimodal Vlog Dataset for Depression Detection in the WildCode2
Reading Between the Frames: Multi-Modal Depression Detection in Videos from Non-Verbal CuesCode2
GLOBEM Dataset: Multi-Year Datasets for Longitudinal Human Behavior Modeling GeneralizationCode2
Automatic Depression Detection: An Emotional Audio-Textual Corpus and a GRU/BiLSTM-based ModelCode2
Large Language Models for Depression Recognition in Spoken Language Integrating Psychological KnowledgeCode1
Context-Aware Deep Learning for Multi Modal Depression DetectionCode1
EmoVerse: Exploring Multimodal Large Language Models for Sentiment and Emotion UnderstandingCode1
HiQuE: Hierarchical Question Embedding Network for Multimodal Depression DetectionCode1
FacialPulse: An Efficient RNN-based Depression Detection via Temporal Facial LandmarksCode1
DAIC-WOZ: On the Validity of Using the Therapist's prompts in Automatic Depression Detection from Clinical InterviewsCode1
Attention-Based Acoustic Feature Fusion Network for Depression DetectionCode1
Node-weighted Graph Convolutional Network for Depression Detection in Transcribed Clinical InterviewsCode1
Non-uniform Speaker Disentanglement For Depression Detection From Raw Speech SignalsCode1
It's Just a Matter of Time: Detecting Depression with Time-Enriched Multimodal TransformersCode1
Multi-Task Learning for Depression Detection in DialogsCode1
Psychiatric Scale Guided Risky Post Screening for Early Detection of DepressionCode1
OPI@LT-EDI-ACL2022: Detecting Signs of Depression from Social Media Text using RoBERTa Pre-trained Language ModelsCode1
Improving the Generalizability of Depression Detection by Leveraging Clinical QuestionnairesCode1
FedMood: Federated Learning on Mobile Health Data for Mood DetectionCode1
Gender Bias in Depression Detection Using Audio FeaturesCode1
FG 2025 TrustFAA: the First Workshop on Towards Trustworthy Facial Affect Analysis: Advancing Insights of Fairness, Explainability, and Safety (TrustFAA)—0
Towards Machine Unlearning for Paralinguistic Speech Processing—0
Explainable Depression Detection using Masked Hard Instance Mining—0
Speech as a Multimodal Digital Phenotype for Multi-Task LLM-based Mental Health Prediction—0
The First MPDD Challenge: Multimodal Personality-aware Depression Detection—0
Enhancing Depression Detection via Question-wise Modality FusionCode0
Why Pre-trained Models Fail: Feature Entanglement in Multi-modal Depression Detection—0
Cross-Subject Depression Level Classification Using EEG Signals with a Sample Confidence Method—0
Explainable Depression Detection in Clinical Interviews with Personalized Retrieval-Augmented Generation—0
SpeechT-RAG: Reliable Depression Detection in LLMs with Retrieval-Augmented Generation Using Speech Timing Information—0
Machine Learning Fairness for Depression Detection using EEG Data—0
Multimodal Magic Elevating Depression Detection with a Fusion of Text and Audio Intelligence—0
Towards Explainable Multimodal Depression Recognition for Clinical InterviewsCode0
U-Fair: Uncertainty-based Multimodal Multitask Learning for Fairer Depression Detection—0
Depression detection from Social Media Bangla Text Using Recurrent Neural Networks—0
Synthetic Data Generation with LLM for Improved Depression Prediction—0
SAD-TIME: a Spatiotemporal-fused network for depression detection with Automated multi-scale Depth-wise and TIME-interval-related common feature extractor—0
Multi-aspect Depression Severity Assessment via Inductive Dialogue System—0
Systematic Review: Text Processing Algorithms in Machine Learning and Deep Learning for Mental Health Detection on Social Media—0
On-device Federated Learning in Smartphones for Detecting Depression from Reddit Posts—0
A Hybrid Graph Neural Network for Enhanced EEG-Based Depression Detection—0
Depression detection in social media posts using transformer-based models and auxiliary features—0
Probing mental health information in speech foundation models—0
Advancing Depression Detection on Social Media Platforms Through Fine-Tuned Large Language Models—0
Language-Agnostic Analysis of Speech Depression Detection—0
Avengers Assemble: Amalgamation of Non-Semantic Features for Depression Detection—0
A BERT-Based Summarization approach for depression detection—0
Auto-Landmark: Acoustic Landmark Dataset and Open-Source Toolkit for Landmark Extraction—0
Sentiment Informed Sentence BERT-Ensemble Algorithm for Depression Detection—0
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