In Shift and In Variance: Assessing the Robustness of HAR Deep Learning Models against Variability

Fuente: arXiv

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Bibliographic Details
Main Authors:	Khaked, Azhar Ali, Oishi, Nobuyuki, Roggen, Daniel, Lago, Paula
Format:	Preprint
Published:	2025
Subjects:	Human-Computer Interaction Machine Learning Signal Processing
Online Access:	Acceder al recurso
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Internet

https://arxiv.org/abs/2503.11466