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Depression Detection

Papers

Showing 51–60 of 157 papers

TitleStatusHype
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
Author2Vec: A Framework for Generating User Embedding—0
A Hybrid Graph Neural Network for Enhanced EEG-Based Depression Detection—0
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