Recently, the automatic prediction of personality traits has received a lot of attention.
Specifically, personality trait prediction from multimodal data has emerged as a hot topic …

This paper proposes a method to modify a traditional convolutional neural network (CNN)
into an interpretable CNN, in order to clarify knowledge representations in high conv-layers …

Automatic personality trait recognition has attracted increasing interest in psychology,
neuropsychology, and computer science, etc. Motivated by the great success of deep …

Convolutional neural network (CNN) models have recently demonstrated impressive
performance in medical image analysis. However, there is no clear understanding of why …

This article proposes to recognise the true (self-reported) personality traits from the target
subject's cognition simulated from facial reactions. This approach builds on the following two …

Explainability and interpretability are two critical aspects of decision support systems.
Despite their importance, it is only recently that researchers are starting to explore these …

The behavior, mental-health, emotion, life choices, social nature, and thought patterns of an
individual are revealed by personality. Cyber forensics, personalized services …

Personality analysis has been widely studied in psychology, neuropsychology, and signal
processing fields, among others. From the past few years, it also became an attractive …

Recent research shows that in dyadic and group interactions individuals' nonverbal
behaviours are influenced by the behaviours of their conversational partner (s). Therefore, in …

In this paper, we seek to understand how politicians use images to express ideological
rhetoric through Facebook images posted by members of the US House and Senate. In the …