Guest editorial: Explainability of machine learning in methodologies and applications
Auteur(s): Kyamakya Kyandoghere Jean Marie VianneyNom de la revue/Journal: Knowledge-Based Systems
Mois: février
Volume: 264
Numéro: https://doi.org/10.1016/j.knosys.2023.110357
Année: 2023
Résumé
<p><a href="https://doi.org/10.1016/j.knosys.2023.110357">https://doi.org/10.1016/j.knosys.2023.110357</a><br><br><span style="color:rgb(31,31,31);">This special issue is dedicated to the explainability of machine learning in methodologies and applications, which is an urgent question to be addressed, especially due to the great success of artificial intelligence applications in a wide range of fields.</span></p>