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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...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2020
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| Materias: | |
| 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 |