Abstract: Existing techniques for identifying lies from the dialogue give a final decision without explanations. We design 4 deception indicators based on existing theory to lie detection. We design a ...
Real-world datasets follow an imbalanced distribution, which poses significant challenges in rare-category object detection. Recent studies tackle this problem by developing re-weighting and ...
Abstract: This study investigates the neural markers of deception using EEG data and explores the efficacy of deep learning models in lie detection. A novel EEG dataset, "Lie Waves," was utilized, ...
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