Decision Revise: Towards an Easy-to-Use Machine Learning Framework for Cultural Heritage Scientists. Round#1
Year: 2025
Type: article
Abstract: 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
Source: Peer Community In Archaeology
Authors: Mathias Bellat, Anastasia Eleftheriadou
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W7160310583