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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Veröffentlicht in:	Multimedia tools and applications 2022, Vol.81 (23), p.33689-33714
Hauptverfasser:	Canário, João Paulo, Ferreira, Marcos Vinícius, Freire, Junot, Carvalho, Matheus, Rios, Ricardo
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Artificial neural networks Computer Communication Networks Computer Science Coronaviruses COVID-19 Data Structures and Information Theory Face recognition Machine learning Masks Multimedia Information Systems Pandemics Public transportation Special Purpose and Application-Based Systems
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