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Towards an Easy-to-Use Machine Learning Framework for Cultural Heritage Scientists. Round#1

Bibliographic Data

ID22260096
AuthorsAnastasia Eleftheriadou (0000-0002-8649-3752)
EditorsMathias Bellat (0000-0003-0319-1562, Baden-Wuttenberg, University of Tübingen – Tübingen, Germany)
Year2025
Publication date2025-12-24
Open AccessYes
TypeARTICLE
VenuePeer Community In Archaeology (JOURNAL)
Journal identifiersISSN: 2742-1929 • E-ISSN: 2742-1929
PublisherPeer Community In (PUBLISHER • FR)
DOI10.24072/pci.archaeo.100629.d1
OpenAlexW7160310583
LanguageEN

A recommendation of: Christos Chatzisavvas, Thomas Pappas, Panagiotis Rigas, Nikolaos Mitianoudis, George Pavlidis, Chairi Kiourt, Anestis Koutsoudis, Vassilis Katsouros, and George Ioannakis Towards an Easy-to-Use Machine Learning Framework for Cultural Heritage Scientists https://doi.org/10.5281/zenodo.19856328

Cultural heritage · Cultural learning · Aesthetic Perception and Analysis · Archaeological Research and Protection · Image Processing and 3D Reconstruction

Highly citedNo

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Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae