Recommendation of
Towards an Easy-to-Use Machine Learning Framework for Cultural Heritage Scientists. Round#3
Bibliographic Data
| ID | 22260346 |
|---|---|
| Editors | Mathias Bellat (0000-0003-0319-1562, Baden-Wuttenberg, University of Tübingen – Tübingen, Germany), Anastasia Eleftheriadou (0000-0002-8649-3752, Faculty of Cultural Studies, Institute for Digital Cultural Heritage Studies (DCHS) – Munich, Germany) |
| Year | 2026 |
| Publication date | 2026-05-05 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Peer Community In Archaeology (JOURNAL) |
| Journal identifiers | ISSN: 2742-1929 • E-ISSN: 2742-1929 |
| Publisher | Peer Community In (PUBLISHER • FR) |
| DOI | 10.24072/pci.archaeo.100629 |
| OpenAlex | W7160251800 |
| Language | EN |
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 cited | No |
|---|