[HTML][HTML] Natural language processing applied to mental illness detection: a narrative review
Mental illness is highly prevalent nowadays, constituting a major cause of distress in
people's life with impact on society's health and well-being. Mental illness is a complex multi …
people's life with impact on society's health and well-being. Mental illness is a complex multi …
Deep facial expression recognition: A survey
With the transition of facial expression recognition (FER) from laboratory-controlled to
challenging in-the-wild conditions and the recent success of deep learning techniques in …
challenging in-the-wild conditions and the recent success of deep learning techniques in …
Facebook language predicts depression in medical records
Depression, the most prevalent mental illness, is underdiagnosed and undertreated,
highlighting the need to extend the scope of current screening methods. Here, we use …
highlighting the need to extend the scope of current screening methods. Here, we use …
Automated assessment of psychiatric disorders using speech: A systematic review
Objective There are many barriers to accessing mental health assessments including cost
and stigma. Even when individuals receive professional care, assessments are intermittent …
and stigma. Even when individuals receive professional care, assessments are intermittent …
AVEC 2019 workshop and challenge: state-of-mind, detecting depression with AI, and cross-cultural affect recognition
The Audio/Visual Emotion Challenge and Workshop (AVEC 2019)'State-of-Mind, Detecting
Depression with AI, and Cross-cultural Affect Recognition'is the ninth competition event …
Depression with AI, and Cross-cultural Affect Recognition'is the ninth competition event …
Estimation of continuous valence and arousal levels from faces in naturalistic conditions
Facial affect analysis aims to create new types of human–computer interactions by enabling
computers to better understand a person's emotional state in order to provide ad hoc help …
computers to better understand a person's emotional state in order to provide ad hoc help …
Deep learning for depression recognition with audiovisual cues: A review
With the acceleration of the pace of work and life, people are facing more and more
pressure, which increases the probability of suffering from depression. However, many …
pressure, which increases the probability of suffering from depression. However, many …
Deep affect prediction in-the-wild: Aff-wild database and challenge, deep architectures, and beyond
Automatic understanding of human affect using visual signals is of great importance in
everyday human–machine interactions. Appraising human emotional states, behaviors and …
everyday human–machine interactions. Appraising human emotional states, behaviors and …
MFCC-based recurrent neural network for automatic clinical depression recognition and assessment from speech
E Rejaibi, A Komaty, F Meriaudeau, S Agrebi… - … Signal Processing and …, 2022 - Elsevier
Abstract Clinical depression or Major Depressive Disorder (MDD) is a common and serious
medical illness. In this paper, a deep Recurrent Neural Network-based framework is …
medical illness. In this paper, a deep Recurrent Neural Network-based framework is …
Mer 2023: Multi-label learning, modality robustness, and semi-supervised learning
The first Multimodal Emotion Recognition Challenge (MER 2023) 1 was successfully held at
ACM Multimedia. The challenge focuses on system robustness and consists of three distinct …
ACM Multimedia. The challenge focuses on system robustness and consists of three distinct …