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Deep learning and taphonomy: high accuracy in the classification of cut marks made on fleshed and defleshed bones using convolutional neural networks

Accurate identification of bone surface modifications (BSM) is crucial for the taphonomic understanding of archaeological and paleontological sites. Critical interpretations of when humans started eating meat and animal fat or when they started using stone tools, or when they occupied new continents...

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Detalles Bibliográficos
Autores principales: Cifuentes-Alcobendas, Gabriel, Domínguez-Rodrigo, Manuel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6908723/
https://www.ncbi.nlm.nih.gov/pubmed/31831808
http://dx.doi.org/10.1038/s41598-019-55439-6