The substantial increase in mental health disorders globally necessitates scalable, accurate tools for detecting and classifying these conditions in digital environments. This study addresses the ...

Artificial intelligence models used to detect depression on social media are often biased and methodologically flawed, ...

For evaluation, the researchers conducted a comprehensive simulation analysis to compare various approaches in the context of mixed regression and classification tasks. The results, illustrated in ...

Advanced shape analysis studies such as regression and classification need to be performed on curved manifolds, where often, there is a lack of standard statistical formulations. To overcome these ...

Regression Apart from classification, regression can be rather important in audio analysis, e.g. in the context of speech emotion recognition, where the emotional state is not a discrete class but a ...

In this study, we propose a fast and accurate method to automatically localize anatomical landmarks in medical images. We employ a global-to-local localization approach using fully convolutional ...