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...

وصف كامل

التفاصيل البيبلوغرافية
المؤلفون الرئيسيون:	Seaman Mora, Daniel Andres, Saquicela Galarza, Victor Hugo, Palacio Baus, Kenneth Samuel, Peñafiel Mora, David Marcelo
التنسيق:	ARTÍCULO DE CONFERENCIA
اللغة:	es_ES
منشور في:	IEEE 2024
الموضوعات:	Experiment Machine learning MLOps Semantic Web Reproducibility
الوصول للمادة أونلاين:	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

الانترنت

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

An Approach to Experiment Reproducibility Through MLOps and Semantic Web Technologies

الانترنت

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