Semantic Description of Explainable Machine Learning Workflows for Improving Trust

Explainable Machine Learning comprises methods and techniques that enable users to better understand the machine learning functioning and results. This work proposes an ontology that represents explainable machine learning experiments, allowing data scientists and developers to have a holistic view,...

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Autores principales: Patricia Inoue Nakagawa, Luís Ferreira Pires, João Luiz Rebelo Moreira, Luiz Olavo Bonino da Silva Santos, Faiza Bukhsh
Formato: article
Lenguaje:EN
Publicado: MDPI AG 2021
Materias:
XAI
T
Acceso en línea:https://doaj.org/article/21fbc5b1d44846b3b8fe4a7daa3cd927
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