Mental illnesses, such as depression, are highly prevalent and have been shown to impact
an individual's physical health. Recently, artificial intelligence (AI) methods have been …

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 …

Depression stands as one of the most widespread psychological disorders and has
garnered increasing attention. Currently, how to effectively achieve automatic multimodal …

Emotional state recognition of a speaker is a difficult task for machine learning algorithms
which plays an important role in the field of speech emotion recognition (SER). SER plays a …

Video anomaly detection is of critical practical importance to a variety of real applications
because it allows human attention to be focused on events that are likely to be of interest, in …

Users can interact with one another through social networks (SNs) by exchanging
information, delivering comments, finding new information, and engaging in discussions that …

Millions of people are suffering from mental illness due to unavailability of early treatment
and services for depression detection. It is the major reason for anxiety disorder, bipolar …

Depression is a global mental health problem, the worst case of which can lead to suicide.
An automatic depression detection system provides great help in facilitating depression self …

Medical professionals diagnose depression by interpreting the responses of individuals to a
variety of questions, probing lifestyle changes and ongoing thoughts. Like professionals, an …

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 …