A Review of Trustworthy and Explainable Artificial Intelligence (XAI)-Reference-Cited by-同舟云学术

A Review of Trustworthy and Explainable Artificial Intelligence (XAI)

Author:

Chamola Vinay¹^ORCID,Hassija Vikas²,Sulthana A Razia³^ORCID,Ghosh Debshishu⁴,Dhingra Divyansh⁴^ORCID,Sikdar Biplab⁵^ORCID

Affiliation:

1. Department of Electrical and Electronics Engineering, BITS-Pilani, Pilani Campus, Pilani, India

2. School of Computer Engineering, National University of Singapore, Queenstown, Singapore

3. School of Computing and Mathematical Sciences, University of Greenwich, London, U.K.

4. Department of Computer Science, Jaypee Institute of Information Technology, Noida, India

5. Department of Electrical and Computer Engineering, National University of Singapore, Queenstown, Singapore

Funder

Ministry of Education, Singapore

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

Reference103 articles.

1. Techniques for interpretable machine learning;du;arXiv 1808 00033,2018

2. Interpretable convolutional neural networks;zhang;arXiv 1710 00935,2017

3. Distilling a neural network into a soft decision tree;frosst;arXiv 1711 09784,2017

5. Evaluating explanation without ground truth in interpretable machine learning;yang;arXiv 1907 06831,2019

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