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...

Detaylı Bibliyografya
Asıl Yazarlar:	Seaman Mora, Daniel Andres, Saquicela Galarza, Victor Hugo, Palacio Baus, Kenneth Samuel, Peñafiel Mora, David Marcelo
Materyal Türü:	ARTÍCULO DE CONFERENCIA
Dil:	es_ES
Baskı/Yayın Bilgisi:	IEEE 2024
Konular:	Experiment Machine learning MLOps Semantic Web Reproducibility
Online Erişim:	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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