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dc.contributor.authorBuscemi, Francescaen_US
dc.contributor.authorGallo, Giovannien_US
dc.contributor.authorFiguera, Mariannaen_US
dc.contributor.authorAtani, Yaser Gholizadeen_US
dc.contributor.authorDuca, Angelica Loen_US
dc.contributor.editorBucciero, Albertoen_US
dc.contributor.editorFanini, Brunoen_US
dc.contributor.editorGraf, Holgeren_US
dc.contributor.editorPescarin, Sofiaen_US
dc.contributor.editorRizvic, Selmaen_US
dc.date.accessioned2023-09-02T07:44:46Z
dc.date.available2023-09-02T07:44:46Z
dc.date.issued2023
dc.identifier.isbn978-3-03868-217-2
dc.identifier.issn2312-6124
dc.identifier.urihttps://doi.org/10.2312/gch.20231181
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/gch20231181
dc.description.abstractThe advantages of digitalization of cultural heritage artifacts go beyond the basic documentation of the archeological findings contexts and offer a tool to gain new scientific insights. W.A.L.(L) is an on-going project whose results show that the interdisciplinary collaboration between archeologists, data and computer scientists, carried on with rigorous methods of data collection, processing, organization and analysis may offer great opportunities for archeological data sharing and understanding.en_US
dc.publisherThe Eurographics Associationen_US
dc.rightsAttribution 4.0 International License
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectCCS Concepts: Applied computing → Computers in other domains; Computing methodologies → Machine learning
dc.subjectApplied computing → Computers in other domains
dc.subjectComputing methodologies → Machine learning
dc.titleProject ''Wall facing Automatic Image Identification Laboratory'' - W.A.L.(L)en_US
dc.description.seriesinformationEurographics Workshop on Graphics and Cultural Heritage
dc.description.sectionheadersPosters and Demos
dc.identifier.doi10.2312/gch.20231181
dc.identifier.pages197-198
dc.identifier.pages2 pages


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Attribution 4.0 International License
Except where otherwise noted, this item's license is described as Attribution 4.0 International License