Close to Reality: Interpretable and Feasible Data Augmentation for Imbalanced Learning

Fuente: arXiv

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Bibliographic Details
Main Authors:	da Silva, Matheus Camilo, Costanzo, Gabriel Gustavo, de Lorenzo, Andrea, Junior, Sylvio Barbon
Format:	Preprint
Published:	2026
Subjects:	Machine Learning
Online Access:	Acceder al recurso
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Internet

https://arxiv.org/abs/2603.13927