A face detection ensemble to monitor the adoption of face masks inside the public transportation during the COVID-19 pandemic

The designing of ensembles is widely adopted when single machine learning methods fail to obtain satisfactory performances by analyzing complex data characterized by being imbalanced, high-dimensional, and noisy. Such a failure is a well-known statistical challenge when the learning algorithm search...

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Detalles Bibliográficos
Autores principales: Canário, João Paulo, Ferreira, Marcos Vinícius, Freire, Junot, Carvalho, Matheus, Rios, Ricardo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9018964/
https://www.ncbi.nlm.nih.gov/pubmed/35463219
http://dx.doi.org/10.1007/s11042-022-12806-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9018964/
https://www.ncbi.nlm.nih.gov/pubmed/35463219
http://dx.doi.org/10.1007/s11042-022-12806-2

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