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Enhancing Monte Carlo Dropout Performance for Uncertainty Quantification

Fuente: arXiv

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Détails bibliographiques
Auteurs principaux:	Asgharnezhad, Hamzeh, Shamsi, Afshar, Alizadehsani, Roohallah, Mohammadi, Arash, Alinejad-Rokny, Hamid
Format:	Preprint
Publié:	2025
Sujets:	Computer Vision and Pattern Recognition Artificial Intelligence
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

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