Gender-based multimodal deception detection
Author:
Affiliation:
1. University of Michigan
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3019612.3019644
Reference23 articles.
1. Deception detection using a multimodal approach
2. Detecting deceptive behavior via integration of discriminative features from multiple modalities;Abouelenien M.;IEEE Transactions on Information Forensics and Security,2016
3. Gender differences in lying
4. Nonverbal indicators of deception: How iconic gestures reveal thoughts that cannot be suppressed
5. Lying and team incentives
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