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February 16, 2026Peer Community In ArchaeologyOpen Access

Review of: Towards an Easy-to-Use Machine Learning Framework for Cultural Heritage Scientists. Round#2/Reviewer#1

Mathias Bellat Anastasia Eleftheriadou

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Key Points

To evaluate a machine learning framework designed for cultural heritage science applications.
Review the proposed machine learning framework
Assess usability for cultural heritage scientists
Discuss the potential impact on heritage studies
Framework offers user-friendly tools for cultural heritage applications
Improves accessibility for scientists in the field
Encourages integration of advanced technologies in heritage preservation

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Implication

Review highlights a machine learning framework for cultural heritage scientists, suggesting improved accessibility and usability.

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Cite This Study

Bellat et al. (2026) studied this question.

synapsesocial.com/papers/69fbe357164b5133a91a2973 https://doi.org/10.24072/pci.archaeo.100629.rev21

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1Review of: Towards an Easy-to-Use Machine Learning Framework for Cultural Heritage Scientists. Round#2/Reviewer#2Review · 2026
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