Addressing Noise and Skewness in Interpretable Health-Condition Assessment by Learning Model Confidence †

Assessing the health condition has a wide range of applications in healthcare, military, aerospace, and industrial fields. Nevertheless, traditional feature-engineered techniques involve manual feature extraction, which are too cumbersome to adapt to the changes caused by the development of sensor n...

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Detalles Bibliográficos
Autores principales: Zhou, Yuxi, Hong, Shenda, Shang, Junyuan, Wu, Meng, Wang, Qingyun, Li, Hongyan, Xie, Junqing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7765787/
https://www.ncbi.nlm.nih.gov/pubmed/33352690
http://dx.doi.org/10.3390/s20247307

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7765787/
https://www.ncbi.nlm.nih.gov/pubmed/33352690
http://dx.doi.org/10.3390/s20247307

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