An Approach to Experiment Reproducibility Through MLOps and Semantic Web Technologies

An Approach to Experiment Reproducibility Through MLOps and Semantic Web Technologies

This article addresses the challenge of reproducing machine learning (ML) experiments by integrating processes based on MLOps and semantic technologies. The inherent complexity of experimentation in scientific research hinders reproducibility through conventional methods, which has led to the need t...

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Bibliografiske detaljer
Main Authors:	Seaman Mora, Daniel Andres, Saquicela Galarza, Victor Hugo, Palacio Baus, Kenneth Samuel, Peñafiel Mora, David Marcelo
Format:	ARTÍCULO DE CONFERENCIA
Sprog:	es_ES
Udgivet:	IEEE 2024
Fag:	Experiment Machine learning MLOps Semantic Web Reproducibility
Online adgang:	http://dspace.ucuenca.edu.ec/handle/123456789/44127 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85182277987&doi=10.1109%2fCLEI60451.2023.10346140&partnerID=40&md5=5ce72fe9f4acef05dba4a92df36bf0a7

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Semantics
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Semantics
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