A review of machine learning and deep learning approaches on mental health diagnosis
Combating mental illnesses such as depression and anxiety has become a global concern.
As a result of the necessity for finding effective ways to battle these problems, machine …
As a result of the necessity for finding effective ways to battle these problems, machine …
A systematic review on multimodal emotion recognition: building blocks, current state, applications, and challenges
Emotion recognition involves accurately interpreting human emotions from various sources
and modalities, including questionnaires, verbal, and physiological signals. With its broad …
and modalities, including questionnaires, verbal, and physiological signals. With its broad …
A Facial Expression-Aware Multimodal Multi-task Learning Framework for Emotion Recognition in Multi-party Conversations
Abstract Multimodal Emotion Recognition in Multiparty Conversations (MERMC) has
recently attracted considerable attention. Due to the complexity of visual scenes in multi …
recently attracted considerable attention. Due to the complexity of visual scenes in multi …
Two birds with one stone: Knowledge-embedded temporal convolutional transformer for depression detection and emotion recognition
W Zheng, L Yan, FY Wang - IEEE Transactions on Affective …, 2023 - ieeexplore.ieee.org
Depression is a critical problem in modern society that affects an estimated 350 million
people worldwide, causing feelings of sadness and a lack of interest and pleasure …
people worldwide, causing feelings of sadness and a lack of interest and pleasure …
DepMSTAT: Multimodal spatio-temporal attentional transformer for depression detection
Y Tao, M Yang, H Li, Y Wu, B Hu - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Depression is one of the most common mental illnesses, but few of the currently proposed in-
depth models based on social media data take into account both temporal and spatial …
depth models based on social media data take into account both temporal and spatial …
[HTML][HTML] Depressive semantic awareness from vlog facial and vocal streams via spatio-temporal transformer
With the rapid growth of information transmission via the Internet, efforts have been made to
reduce network load to promote efficiency. One such application is semantic computing …
reduce network load to promote efficiency. One such application is semantic computing …
TAMFN: time-aware attention multimodal fusion network for depression detection
In recent years, with the widespread popularity of the Internet, social media has become an
indispensable part of people's lives. People regard online social media as an essential tool …
indispensable part of people's lives. People regard online social media as an essential tool …
Taking all the factors we need: A multimodal depression classification with uncertainty approximation
Depression and anxiety are prevalent mental illnesses that are frequently disregarded as
disorders. It is estimated that more than 5% of the population suffers from depression or …
disorders. It is estimated that more than 5% of the population suffers from depression or …
Depression detection in clinical interviews with LLM-empowered structural element graph
Depression is a widespread mental health disorder affecting millions globally. Clinical
interviews are the gold standard for assessing depression, but they heavily rely on scarce …
interviews are the gold standard for assessing depression, but they heavily rely on scarce …