The number of extracted features from medical data, such as computer-aided diagnosis, has
been known to be too large and affects the performance of the used classifiers. Moreover …

In recent years, due to its great economic and social potential, the recognition of facial
expressions linked to emotions has become one of the most flourishing applications in the …

Depression has a major effect on the quality of life. Thus, identifying an effective way to
detect depression is important in the field of human-machine interaction. To examine …

The application of deep learning convolutional neural networks for solving the problem of
automated facial expression recognition and determination of emotions of a person is …

Aiming at the detection of learners' personalities which can help us to enhance the
educational learning process, we trained three Convolutional Neural Networks (CNNs) …

Making predictions about when students want help can provide teachers and Intelligent
Systems with possibly useful information, as they can use this data to help students without …

This paper focuses on the analysis of audiovisual content embedded in tweets, especially in
a political context. It is based on research conducted since 2013 on digital discourse on …