Information set supported deep learning architectures for improving noisy image classification

Deep learning models have been widely used in many supervised learning applications. However, these models suffer from overfitting due to various types of uncertainty with deteriorating performance when facing data biases, class imbalance, or noise propagation. The Information-Set Deep learning (ISD...

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Detalles Bibliográficos
Autores principales: Bhardwaj, Saurabh, Wang, Yizhi, Yu, Guoqiang, Wang, Yue
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10023670/
https://www.ncbi.nlm.nih.gov/pubmed/36932103
http://dx.doi.org/10.1038/s41598-023-31462-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10023670/
https://www.ncbi.nlm.nih.gov/pubmed/36932103
http://dx.doi.org/10.1038/s41598-023-31462-6

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