The study analyzed 121 short videos as part of a small dataset to distinguish between truthful and deceptive conversations. Scientists have revealed that Convolutional Neural Networks (CNNs), a type ...
Accurately detecting deception is a multifaceted challenge, typically requiring a two key steps process. First, people must be able to identify unusual or unexpected verbal and nonverbal cues, and ...
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Machine learning methods are best suited to catch liars, according to science of deception detection
Scientists have revealed that Convolutional Neural Networks (CNNs), a type of deep learning algorithm, demonstrate superior performance compared to conventional non-machine learning approaches when ...
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