Optimized face-emotion learning using convolutional neural network and binary whale optimization
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-022-14124-z.pdf
Reference57 articles.
1. Abadi, M (2016) TensorFlow: learning functions at scale. In proceedings of the 21st ACM SIGPLAN international conference on functional programming (pp. 1-1). https://doi.org/10.1145/3022670.2976746
2. Ali, MF, Khatun, M, Turzo, NA (2020) Facial emotion detection using neural network. Int J Sci Eng Res
3. Ambert-Dahan E, Giraud AL, Mecheri H, Sterkers O, Mosnier I, Samson S (2017) Emotional recognition of dynamic facial expressions before and after cochlear implantation in adults with progressive deafness. Hear Res 354:64–72
4. Bairaju, SPR, Ari, S, Garimella, RM (2019) Emotion detection using visual information with deep auto-encoders. In 2019 IEEE 5th international conference for convergence in technology (I2CT) (pp. 1-5). IEEE. https://doi.org/10.1109/i2ct45611.2019.9033902
5. Burns EJ, Martin J, Chan AH, Xu H (2017) Impaired processing of facial happiness, with or without awareness, in developmental prosopagnosia. Neuropsychologia 102:217–228. https://doi.org/10.1016/j.neuropsychologia.2017.06.020
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