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    “Don’t judge coarse wares by their ugliness…”. The benefits of fabric analysis and the use of Supervised Deep Learning algorithms for the study of Roman pottery (FabricAI)

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    Article principal (2.430Mb)
    Authors
    Willems, Sonja
    Chaidron, Cyrille
    Borgers, Barbara
    Discipline
    History and Archaeology
    Subject
    Artificial intelligence; pottery distribution; market economy; pottery fabrics; petrography
    Audience
    Scientific
    Date
    2024-03-29
    Publisher
    Bollettino di archeologia online
    DIREZIONE GENERALE ARCHEOLOGIA, BELLE ARTI E PAESAGGIO
    Metadata
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    Description
    The article looks at the benefits of an in-depth identification of pottery fabrics to understand market economy and how the use of AI-applications can help to facilitate this kind of time-consuming research needing extensive experience.
    Citation
    Willems, Sonja; Chaidron, Cyrille; Borgers, Barbara (2024-03-29). “Don’t judge coarse wares by their ugliness…”. The benefits of fabric analysis and the use of Supervised Deep Learning algorithms for the study of Roman pottery (FabricAI). (Caterina Paola Venditti, Maria Taloni, Eugenio Polito, Thomas Fröhlich, Ed.), BOLLETTINO DI ARCHEOLOGIA ON LINE, Vol. XV, 2024/Supplemento 1, Issue BRINGING ROMAN COARSE WARE TO THE POINT The Challenge of a Common Approach, P.73-96, Bollettino di archeologia online, DOI: 10.60978/BAO_XV_Suppl_01_04.
    Identifiers
    uri: https://orfeo.belnet.be/handle/internal/13231
    doi: http://dx.doi.org/10.60978/BAO_XV_Suppl_01_04
    Type
    Article
    Peer-Review
    Yes
    Language
    eng
    Links
    NewsHelpdeskBELSPO OA Policy

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