Guest editorial: Explainability of machine learning in methodologies and applications

被引：1

作者：

Li, Zhong ^{[1
]}

Unger, Herwig ^{[1
]}

Kyamakya, Kyandoghere ^{[2
]}

机构：

[1] Fernuniv, Hagen, Germany

[2] Univ Klagenfurt, Klagenfurt, Austria

来源：

KNOWLEDGE-BASED SYSTEMS | 2023年 / 264卷

关键词：

Artificial intelligence; Machine learning; Explainability; Methodologies; Applications;

D O I：

10.1016/j.knosys.2023.110357

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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. (c) 2023 Elsevier B.V. All rights reserved.

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页数：4

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