94 citations · 147 across the 6 of their papers we have counts for
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cs.LG2023
Learning Behavioral Representations of Routines From Large-scale Unlabeled Wearable Time-series Data Streams using Hawkes Point Process
Tiantian Feng, Brandon M Booth, Shrikanth Narayanan
Continuously-worn wearable sensors enable researchers to collect copious amounts of rich bio-behavioral time series recordings of real-life activities of daily living, offering unp…
cs.LG2023★ 22 cited
Integrating Psychometrics and Computing Perspectives on Bias and Fairness in Affective Computing: A Case Study of Automated Video Interviews
Brandon M Booth, Louis Hickman, Shree Krishna Subburaj +3
We provide a psychometric-grounded exposition of bias and fairness as applied to a typical machine learning pipeline for affective computing. We expand on an interpersonal communic…