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Understanding How CNNs Recognize Facial Expressions: A Case Study with LIME and CEM
Recognizing facial expressions has been a persistent goal in the scientific community. Since the rise of artificial intelligence, convolutional neural networks (CNN) have become popular to recognize facial expressions, as images can be directly used as input. Current CNN models can achieve high reco...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9824600/ https://www.ncbi.nlm.nih.gov/pubmed/36616728 http://dx.doi.org/10.3390/s23010131 |