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PuckTrick: A Library for Making Synthetic Data More Realistic

Fuente: arXiv

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Detalles Bibliográficos
Autores principales:	Agostini, Alessandra, Maurino, Andrea, Spahiu, Blerina
Formato:	Preprint
Publicado:	2025
Materias:	Machine Learning Artificial Intelligence Databases H.4.1; I.2.1
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

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