Mental disorders are rapidly increasing each year and have become a major challenge
affecting the social and financial well-being of individuals. There is a need for phenotypic …

Detecting depression based on non-verbal behaviors has received great attention.
However, most prior work on detecting depression mainly focused on detecting depressed …

Depression is a frequent and curable psychiatric disorder, detrimentally affecting daily
activities, harming both work-place productivity and personal relationships. Among many …

Medical diagnosis involves the expert opinion of trained health care professionals based on
causal inference from medical data. While medical data are typically collected using …

Depression is a growing problem worldwide, impacting on an increasing number of patients,
and also affecting health systems and the global economy. The most common diagnostical …

The performance of speech-based depression detectors is limited by the scarcity and
imbalance in depression data. We found that depression detectors could be strongly biased …

Depression is a serious mood disorder that has become one of the major diseases that
endanger human mental health. The automatic detection of depression using speech …

Mental health is becoming an increasingly prominent health challenge. Despite a plethora of
studies analysing and mitigating bias for a variety of tasks such as face recognition and …

New developments in machine learning‐based analysis of speech can be hypothesized to
facilitate the long‐term monitoring of major depressive disorder (MDD) during and after …

Early detection of depression allows rapid intervention and reduce the escalation of the
disorder. Conventional method requires patient to seek diagnosis and treatment by visiting a …