Stock movement prediction, a widely addressed research avenue in the world of computer
science and finance, it finds fundamental applications in quantitative trading and investment …

Affective Computing is one of the central studies for achieving advanced human-computer
interaction and is a popular research direction in the field of artificial intelligence for smart …

Multimodal sentiment analysis (MSA) aims to detect the sentiments from language (text),
audio, and visual (facial expressions) modalities. The main challenge in MSA is how to …

3D object classification is an important task in computer vision. In order to explore the high-
order and multi-modal correlations among 3D data, we propose an adaptive multi …

Multimodal physiological-based emotion recognition is one of the most available but
challenging studies due to complexity of emotions and individual differences in …

Investigating the functional connectivities in the brain networks of individuals with attention
deficit hyperactivity disorder (ADHD) has long intrigued researchers. ADHD individuals have …

Multimodal fusion for emotion recognition has received increasing attention from
researchers because of its ability to effectively leverage multimodal complementary …

Emotion recognition in multi-party conversations (ERMC) is becoming increasingly popular
as an emerging research topic in natural language processing. Recently, many approaches …

Hierarchies, as described in mathematical morphology, represent nested regions of interest
and provide mechanisms to create concepts and coherent data organization. They facilitate …

Background: In today's high-pressure society, anxiety disorders have come to the forefront of
public attention. Distinguishing anxiety disorders accurately, conveniently, and effectively is …