Generic semi-supervised adversarial subject translation for sensor-based activity recognition

Performance of Human Activity Recognition (HAR) models, particularly deep neural networks, is highly contingent upon the availability of the massive amount of annotated training data. Though, data collection and manual labeling in the HAR domain are prohibitively expensive due to human resource depe...

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Bibliographic Details
Published inNeurocomputing (Amsterdam) Vol. 500; pp. 649 - 661
Main Authors Soleimani, Elnaz, Khodabandelou, Ghazaleh, Chibani, Abdelghani, Amirat, Yacine
Format Journal Article
LanguageEnglish
Published Elsevier B.V 21.08.2022
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