A review on explainability in multimodal deep neural nets
Artificial Intelligence techniques powered by deep neural nets have achieved much success
in several application domains, most significantly and notably in the Computer Vision …
in several application domains, most significantly and notably in the Computer Vision …
A comprehensive survey of artificial intelligence techniques for talent analytics
In today's competitive and fast-evolving business environment, it is a critical time for
organizations to rethink how to make talent-related decisions in a quantitative manner …
organizations to rethink how to make talent-related decisions in a quantitative manner …
Will affective computing emerge from foundation models and general artificial intelligence? A first evaluation of ChatGPT
ChatGPT has shown the potential of emerging general artificial intelligence capabilities, as it
has demonstrated competent performance across many natural language processing tasks …
has demonstrated competent performance across many natural language processing tasks …
Fairness and bias in algorithmic hiring: A multidisciplinary survey
Employers are adopting algorithmic hiring technology throughout the recruitment pipeline.
Algorithmic fairness is especially applicable in this domain due to its high stakes and …
Algorithmic fairness is especially applicable in this domain due to its high stakes and …
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 …
Modeling, recognizing, and explaining apparent personality from videos
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 …
Despite their importance, it is only recently that researchers are starting to explore these …
Psychology meets machine learning: Interdisciplinary perspectives on algorithmic job candidate screening
In a rapidly digitizing world, machine learning algorithms are increasingly employed in
scenarios that directly impact humans. This also is seen in job candidate screening. Data …
scenarios that directly impact humans. This also is seen in job candidate screening. Data …
First impressions: A survey on vision-based apparent personality trait analysis
JCSJ Junior, Y Güçlütürk, M Pérez… - IEEE Transactions …, 2019 - ieeexplore.ieee.org
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 …
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 …
Can ChatGPT's responses boost traditional natural language processing?
The employment of foundation models is steadily expanding, especially with the launch of
ChatGPT and the release of other foundation models. These models have shown the …
ChatGPT and the release of other foundation models. These models have shown the …