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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Dettagli Bibliografici
Autori principali:	Seaman Mora, Daniel Andres, Saquicela Galarza, Victor Hugo, Palacio Baus, Kenneth Samuel, Peñafiel Mora, David Marcelo
Natura:	ARTÍCULO DE CONFERENCIA
Lingua:	es_ES
Pubblicazione:	IEEE 2024
Soggetti:	Experiment Machine learning MLOps Semantic Web Reproducibility
Accesso online:	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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