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Depression Detection

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Showing 51–100 of 157 papers

TitleStatusHype
Depression Detection Using Digital Traces on Social Media: A Knowledge-aware Deep Learning Approach—0
Depression Detection using Resting State Three-channel EEG Signal—0
Explainable Depression Detection with Multi-Modalities Using a Hybrid Deep Learning Model on Social Media—0
DepressionNet: A Novel Summarization Boosted Deep Framework for Depression Detection on Social Media—0
Depression Symptoms Modelling from Social Media Text: A Semi-supervised Learning Approach—0
DepreSym: A Depression Symptom Annotated Corpus and the Role of LLMs as Assessors of Psychological Markers—0
Detect Depression from Social Networks with Sentiment Knowledge Sharing—0
Detecting Depression in Social Media using Fine-Grained Emotions—0
Detecting Early Onset of Depression from Social Media Text using Learned Confidence Scores—0
Detecting Levels of Depression in Text Based on Metrics—0
Transfer Learning for Real-time Deployment of a Screening Tool for Depression Detection Using Actigraphy—0
Transferring speech-generic and depression-specific knowledge for Alzheimer's disease detection—0
Diverse Perspectives, Divergent Models: Cross-Cultural Evaluation of Depression Detection on Twitter—0
Dynamic Graph Representation Learning for Depression Screening with Transformer—0
Early Detection of Depression and Eating Disorders in Spanish: UNSL at MentalRiskES 2023—0
Early Text Classification Using Multi-Resolution Concept Representations—0
U-Fair: Uncertainty-based Multimodal Multitask Learning for Fairer Depression Detection—0
Enhancing Depression-Diagnosis-Oriented Chat with Psychological State Tracking—0
Evaluation of ChatGPT for NLP-based Mental Health Applications—0
Explainable Depression Detection in Clinical Interviews with Personalized Retrieval-Augmented Generation—0
Explainable Depression Detection using Masked Hard Instance Mining—0
Explainable Depression Detection via Head Motion Patterns—0
Facial Expression Analysis Using Decomposed Multiscale Spatiotemporal Networks—0
Automated speech-based screening of depression using deep convolutional neural networks—0
Feature Attention Network: Interpretable Depression Detection from Social Media—0
Auto-Landmark: Acoustic Landmark Dataset and Open-Source Toolkit for Landmark Extraction—0
Few-Shot Learning for Chronic Disease Management: Leveraging Large Language Models and Multi-Prompt Engineering with Medical Knowledge Injection—0
FG 2025 TrustFAA: the First Workshop on Towards Trustworthy Facial Affect Analysis: Advancing Insights of Fairness, Explainability, and Safety (TrustFAA)—0
Underneath the Numbers: Quantitative and Qualitative Gender Fairness in LLMs for Depression Prediction—0
FrAUG: A Frame Rate Based Data Augmentation Method for Depression Detection from Speech Signals—0
Author2Vec: A Framework for Generating User Embedding—0
Handwriting and Drawing for Depression Detection: A Preliminary Study—0
Unsupervised Instance Discriminative Learning for Depression Detection from Speech Signals—0
Heterogeneous Subgraph Network with Prompt Learning for Interpretable Depression Detection on Social Media—0
Hierarchical attention interpretation: an interpretable speech-level transformer for bi-modal depression detection—0
Hierarchical Attention Network for Explainable Depression Detection on Twitter Aided by Metaphor Concept Mappings—0
A Step Towards Preserving Speakers' Identity While Detecting Depression Via Speaker Disentanglement—0
Identifying Depressive Symptoms from Tweets: Figurative Language Enabled Multitask Learning Framework—0
Illuminate: A novel approach for depression detection with explainable analysis and proactive therapy using prompt engineering—0
Improving Mental Health Classifier Generalization with Pre-Diagnosis Data—0
Assessing ML Classification Algorithms and NLP Techniques for Depression Detection: An Experimental Case Study—0
Using Audio Data to Facilitate Depression Risk Assessment in Primary Health Care—0
Interpreting Depression From Question-wise Long-term Video Recording of SDS Evaluation—0
A Novel Sentiment Analysis Engine for Preliminary Depression Status Estimation on Social Media—0
Language-Agnostic Analysis of Speech Depression Detection—0
An Exploratory Analysis of the Relation Between Offensive Language and Mental Health—0
Leveraging Mental Health Forums for User-level Depression Detection on Social Media—0
A Multitask Deep Learning Approach for User Depression Detection on Sina Weibo—0
We Care: Multimodal Depression Detection and Knowledge Infused Mental Health Therapeutic Response Generation—0
A Linguistically-Informed Fusion Approach for Multimodal Depression Detection—0
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