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...
Главные авторы: | Seaman Mora, Daniel Andres, Saquicela Galarza, Victor Hugo, Palacio Baus, Kenneth Samuel, Peñafiel Mora, David Marcelo |
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Формат: | ARTÍCULO DE CONFERENCIA |
Язык: | es_ES |
Опубликовано: |
IEEE
2024
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Предметы: | |
Online-ссылка: | 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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