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...

Полное описание

Библиографические подробности
Главные авторы: Seaman Mora, Daniel Andres, Saquicela Galarza, Victor Hugo, Palacio Baus, Kenneth Samuel, Peñafiel Mora, David Marcelo
Формат: ARTÍCULO DE CONFERENCIA
Язык:es_ES
Опубликовано: IEEE 2024
Предметы:
Experiment
Machine learning
MLOps
Semantic Web
Reproducibility
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

Internet

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

Схожие документы