Explainable artificial intelligence: an analytical review-Reference-Cited by-同舟云学术

Explainable artificial intelligence: an analytical review

Published:2021-07-12 Issue:5 Volume:11 Page:
ISSN:1942-4787
Container-title:WIREs Data Mining and Knowledge Discovery
language:en
Short-container-title:WIREs Data Mining Knowl Discov

Author:

Angelov Plamen P.¹²^ORCID,Soares Eduardo A.¹²^ORCID,Jiang Richard¹²^ORCID,Arnold Nicholas I.¹³^ORCID,Atkinson Peter M.²³^ORCID

Affiliation:

1. School of Computing and Communications Lancaster University Lancaster UK

2. Lancaster Intelligent Robotic and Autonomous Systems (LIRA) Research Centre Lancaster UK

3. Lancaster Environment Centre Lancaster University Lancaster UK

Publisher

Wiley

Subject

General Computer Science

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/widm.1424

Reference73 articles.

1. Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)

2. Ancona M. Ceolini E. Öztireli C. &Gross M.(2018).Towards better understanding of gradient‐based attribution methods for deep neural networks.http://arxiv.org/abs/1711.06104

3. Towards explainable deep neural networks (xDNN)

4. Toward Anthropomorphic Machine Learning

5. Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI

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