Empowering facial emotion recognition in service industry – a two-stage convolutional neural network model
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/s11042-023-16717-8.pdf
Reference52 articles.
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2. Shrivastava K, Kumar S, Jain DK (2019) An effective approach for emotion detection in multimedia text data using sequence based convolutional neural network. Multimed Tools Appl 78(20):29607–29639
3. Chang YC, Hsing YC (2021) Emotion-infused deep neural network for emotionally resonant conversation. Appl Soft Comput 113:107861
4. Bi Y, Xue B, Zhang M (2021) Multi-objective genetic programming for feature learning in face recognition. Appl Soft Comput 103:107152
5. Huang MH, Rust RT (2021) Engaged to a robot? The role of AI in service. J Serv Res 24(1):30–41
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