Artificial Neural Networks Can Distinguish Genuine and Acted Anger by Synthesizing Pupillary Dilation Signals from Different Participants

Citation

Qin, Z, Gedeon, T, Chen, L et al. 2018, 'Artificial Neural Networks Can Distinguish Genuine and Acted Anger by Synthesizing Pupillary Dilation Signals from Different Participants', 25th International Conference on Neural Information Processing, ICONIP 2018, ed. Cheng L., Leung A., Ozawa S., Springer, Cham, pp. 299-310.

Year

2018

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