Emotion recognition is a vital but challenging step in creating passive brain-computer
interface applications. In recent years, many studies on electroencephalogram (EEG)-based …

Exploration on emotions continues from past to present. Nowadays, with the rapid
advancement of intelligent technology, computer-aided emotion recognition using …

Emotion recognition is the key to making machines more intelligent. This study proposes a
novel sing-link end-to-end spatio-temporal demographic network (SSTD) that fuses spatial …

Research questions in the human sciences often seek to answer if and when a process
changes across time. In functional MRI studies, for instance, researchers may seek to assess …

Advances in brain imaging have led to the generation of new kinds of datasets. The novel
structures of these datasets necessitate development of new modeling paradigms for …

Depression is known to result in neuro-physiological and neurocognitive changes that affect
control of motor, semantic, and cognitive functions. In this paper, biomarkers are derived …