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April 8, 2026Peer Community In ArchaeologyOpen Access

Decision Revise: Towards an Easy-to-Use Machine Learning Framework for Cultural Heritage Scientists. Round#2

Mathias Bellat Anastasia Eleftheriadou

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Key Points

The aim is to create a user-friendly machine learning framework for cultural heritage scientists.
Developed a machine learning framework tailored for cultural heritage applications.
Focused on user accessibility and ease of implementation for scientists in the field.
Demonstrates potential to improve decision-making processes in cultural heritage.
Facilitates efficient research methodologies for scientists working with cultural heritage.

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Implication

The framework improves decision-making in cultural heritage, suggesting machine learning can enhance research efficiency.

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Cite This Study

Bellat et al. (2026) studied this question.

synapsesocial.com/papers/69fbefd5164b5133a91a3d63 https://doi.org/10.24072/pci.archaeo.100629.d2

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1Decision Revise: Towards an Easy-to-Use Machine Learning Framework for Cultural Heritage Scientists. Round#1Original Research · 2025
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