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[HTML][HTML] Deception detection using machine learning (ML) and deep learning (DL) techniques: A systematic review
Deception detection is a crucial concern in our daily lives, with its effect on social
interactions. The human face is a rich source of data that offers trustworthy markers of …
interactions. The human face is a rich source of data that offers trustworthy markers of …
Distribution-consistent modal recovering for incomplete multimodal learning
Recovering missed modality is popular in incomplete multimodal learning because it usually
benefits downstream tasks. However, the existing methods often directly estimate missed …
benefits downstream tasks. However, the existing methods often directly estimate missed …
Deep personality trait recognition: a survey
Automatic personality trait recognition has attracted increasing interest in psychology,
neuropsychology, and computer science, etc. Motivated by the great success of deep …
neuropsychology, and computer science, etc. Motivated by the great success of deep …
A survey on personality-aware recommendation systems
With the emergence of personality computing as a new research field related to artificial
intelligence and personality psychology, we have witnessed an unprecedented proliferation …
intelligence and personality psychology, we have witnessed an unprecedented proliferation …
A multi-modal personality prediction system
The behavior, mental-health, emotion, life choices, social nature, and thought patterns of an
individual are revealed by personality. Cyber forensics, personalized services …
individual are revealed by personality. Cyber forensics, personalized services …
Learning person-specific cognition from facial reactions for automatic personality recognition
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 …
subject's cognition simulated from facial reactions. This approach builds on the following two …
First impressions: A survey on vision-based apparent personality trait analysis
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 …
processing fields, among others. From the past few years, it also became an attractive …
Self-supervised learning of person-specific facial dynamics for automatic personality recognition
This article aims to solve two important issues that frequently occur in existing automatic
personality analysis systems: 1. Attempting to use very short video segments or even single …
personality analysis systems: 1. Attempting to use very short video segments or even single …
Cr-net: A deep classification-regression network for multimodal apparent personality analysis
First impressions strongly influence social interactions, having a high impact in the personal
and professional life. In this paper, we present a deep Classification-Regression Network …
and professional life. In this paper, we present a deep Classification-Regression Network …
Personality recognition by modelling person-specific cognitive processes using graph representation
Recent research shows that in dyadic and group interactions individuals' nonverbal
behaviours are influenced by the behaviours of their conversational partner (s). Therefore, in …
behaviours are influenced by the behaviours of their conversational partner (s). Therefore, in …