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...

詳細記述

書誌詳細
主要な著者: Seaman Mora, Daniel Andres, Saquicela Galarza, Victor Hugo, Palacio Baus, Kenneth Samuel, Peñafiel Mora, David Marcelo
フォーマット: ARTÍCULO DE CONFERENCIA
言語:es_ES
出版事項: IEEE 2024
主題:
Experiment
Machine learning
MLOps
Semantic Web
Reproducibility
オンライン･アクセス: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

インターネット

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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