“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)
| dc.contributor.author | Willems, Sonja | |
| dc.contributor.author | Chaidron, Cyrille | |
| dc.contributor.author | Borgers, Barbara | |
| dc.coverage.spatial | Northern Gaul | en_US |
| dc.coverage.temporal | Antiquity | en_US |
| dc.date | 2024-03-29 | |
| dc.date.accessioned | 2024-04-30T13:03:23Z | |
| dc.date.available | 2024-04-30T13:03:23Z | |
| dc.identifier.uri | https://orfeo.belnet.be/handle/internal/13231 | |
| dc.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. | en_US |
| dc.language | eng | en_US |
| dc.publisher | Bollettino di archeologia online | en_US |
| dc.publisher | DIREZIONE GENERALE ARCHEOLOGIA, BELLE ARTI E PAESAGGIO | en_US |
| dc.title | “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) | en_US |
| dc.type | Article | en_US |
| dc.subject.frascati | History and Archaeology | en_US |
| dc.audience | Scientific | en_US |
| dc.subject.free | Artificial intelligence; pottery distribution; market economy; pottery fabrics; petrography | en_US |
| dc.source.title | BOLLETTINO DI ARCHEOLOGIA ON LINE | en_US |
| dc.source.volume | XV, 2024/Supplemento 1 | en_US |
| dc.source.issue | BRINGING ROMAN COARSE WARE TO THE POINT The Challenge of a Common Approach | en_US |
| dc.source.page | P.73-96 | en_US |
| Orfeo.peerreviewed | Yes | en_US |
| dc.identifier.doi | 10.60978/BAO_XV_Suppl_01_04 | |
| dc.source.editor | Caterina Paola Venditti, Maria Taloni, Eugenio Polito, Thomas Fröhlich | en_US |
| dc.relation.belspo-project | FED-tWIN project MuSEE.Doc | en_US |