One-class vs binary machine learning classification of ceramic samples described by chemical element concentrations.

• Chemical elements concentration in ancient pottery measured through non-invasive technique. • Provenance of ancient pottery determined through machine learning classification techniques. • Multiple measurements exploited in presence of inhomogeneous material. • One-class classification techniques...

Descripción completa

Detalles Bibliográficos

Publicado en:	Journal of Cultural Heritage Vol. 71; pp. 234 - 242
Autores principales:	Malchiodi, Dario, Zanaboni, Anna Maria, Gioacchino, Alessandro Di, Bonizzoni, Letizia
Formato:	Artículo
Publicado:	Elsevier B.V. Jan2025
Materias:	Machine learning Inhomogeneous materials Classification algorithms Chemical elements Problem solving Pottery
Acceso en línea:	Ver este registro en EBSCOhost