activity
20172021
most citedDeep Learning for Human Affect Recognition: Insights and New Developments

244 citations · 279 across the 3 of their papers we have counts for

collaborators

5 papers

cs.NE20212 cited

An Evolutionary Game Model for Understanding Fraud in Consumption Taxes

M. Chica, J. Hernandez, C. Manrique-de-Lara-Peñate +1

This paper presents a computational evolutionary game model to study and understand fraud dynamics in the consumption tax system. Players are cooperators if they correctly declare…

cs.CR201933 cited

Identifying Malicious Web Domains Using Machine Learning Techniques with Online Credibility and Performance Data

Zhongyi Hu, Raymond Chiong, Ilung Pranata +2

Malicious web domains represent a big threat to web users' privacy and security. With so much freely available data on the Internet about web domains' popularity and performance, t…

cs.LG2019244 cited

Deep Learning for Human Affect Recognition: Insights and New Developments

Philipp V. Rouast, Marc T. P. Adam, Raymond Chiong

Automatic human affect recognition is a key step towards more natural human-computer interaction. Recent trends include recognition in the wild using a fusion of audiovisual and ph…

cs.LG2018

Malicious Web Domain Identification using Online Credibility and Performance Data by Considering the Class Imbalance Issue

Zhongyi Hu, Raymond Chiong, Ilung Pranata +2

Purpose: Malicious web domain identification is of significant importance to the security protection of Internet users. With online credibility and performance data, this paper aim…

cs.GT2017

Effects of update rules on networked N-player trust game dynamics

Manuel Chica, Raymond Chiong, Jose Ramasco +1

We investigate the effects of update rules on the dynamics of an evolutionary game-theoretic model - the N-player evolutionary trust game - consisting of three types of players: in…