Survey on rgb, 3d, thermal, and multimodal approaches for facial expression recognition: History, trends, and affect-related applications
CA Corneanu, MO Simón, JF Cohn… - IEEE transactions on …, 2016 - ieeexplore.ieee.org
Facial expressions are an important way through which humans interact socially. Building a
system capable of automatically recognizing facial expressions from images and video has …
system capable of automatically recognizing facial expressions from images and video has …
[HTML][HTML] Streamers: The new wave of digital entrepreneurship? Extant corpus and research agenda
Video content creation by “amateur” private users has taken on professional (ie work)
characteristics. The emergence of user-centric video sharing services (eg YouTube, Twitch …
characteristics. The emergence of user-centric video sharing services (eg YouTube, Twitch …
A survey of personality computing
A Vinciarelli, G Mohammadi - IEEE Transactions on Affective …, 2014 - ieeexplore.ieee.org
Personality is a psychological construct aimed at explaining the wide variety of human
behaviors in terms of a few, stable and measurable individual characteristics. In this respect …
behaviors in terms of a few, stable and measurable individual characteristics. In this respect …
Computational personality recognition in social media
A variety of approaches have been recently proposed to automatically infer users'
personality from their user generated content in social media. Approaches differ in terms of …
personality from their user generated content in social media. Approaches differ in terms of …
Leveraging unstructured call log data for customer churn prediction
Customer retention is important in the financial services industry. Machine learning has
been incorporated into customer data analytics to predict client churn risks. Despite its …
been incorporated into customer data analytics to predict client churn risks. Despite its …
[HTML][HTML] Predicting user behavior in electronic markets based on personality-mining in large online social networks: A personality-based product recommender …
R Buettner - Electronic Markets, 2017 - Springer
Determining a user's preferences is an important condition for effectively operating
automatic recommendation systems. Since personality theory claims that a user's …
automatic recommendation systems. Since personality theory claims that a user's …
Lab and/or field? Measuring personality processes and their social consequences
How can researchers study personality processes and their social consequences? In our
methodology overview, we first introduce ambulatory assessment methods, which …
methodology overview, we first introduce ambulatory assessment methods, which …
Hire me: Computational inference of hirability in employment interviews based on nonverbal behavior
Understanding the basis on which recruiters form hirability impressions for a job applicant is
a key issue in organizational psychology and can be addressed as a social computing …
a key issue in organizational psychology and can be addressed as a social computing …
Human and computer personality prediction from digital footprints
Is it possible to judge someone accurately from his or her online activity? The Internet
provides vast opportunities for individuals to present themselves in different ways, from …
provides vast opportunities for individuals to present themselves in different ways, from …
Coupled confusion correction: Learning from crowds with sparse annotations
As the size of the datasets getting larger, accurately annotating such datasets is becoming
more impractical due to the expensiveness on both time and economy. Therefore, crowd …
more impractical due to the expensiveness on both time and economy. Therefore, crowd …