Semantic Description of Explainable Machine Learning Workflows for Improving Trust

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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Bibliographic Details
Main Authors: Patricia Inoue Nakagawa, Luís Ferreira Pires, João Luiz Rebelo Moreira, Luiz Olavo Bonino da Silva Santos, Faiza Bukhsh
Format: Article
Language:English
Published: MDPI AG 2021-11-01
Series:Applied Sciences
Subjects:
XAI
machine learning
semantic web technologies
ontology
Online Access:https://www.mdpi.com/2076-3417/11/22/10804

Internet

https://www.mdpi.com/2076-3417/11/22/10804

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