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September 17, 2025Peer Community In ArchaeologyOpen Access

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

Mathias Bellat Anastasia Eleftheriadou

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Key Points

The paper aims to evaluate a machine learning framework designed for cultural heritage scientists.
Review of existing literature on machine learning applications in cultural heritage.
Assessment of usability and functionality of the proposed framework.
Analysis of case studies where the framework has been applied.
Identified key features that enhance usability for cultural heritage scientists.
Showed increased efficiency in data analysis within the cultural heritage sector.
Suggests improved accessibility to machine learning tools for professionals in the field.

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Implication

Review highlights a framework that simplifies machine learning for cultural heritage professionals, indicating potential advancements in the field.

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Cite This Study

Bellat et al. (2025) studied this question.

synapsesocial.com/papers/69fbe2b3164b5133a91a2108 https://doi.org/10.24072/pci.archaeo.100629.rev11

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