Explainable AI approaches in deep learning: Advancements, applications and challenges-Reference-Cited by-同舟云学术

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Explainable AI approaches in deep learning: Advancements, applications and challenges

Published:2024-07 Issue: Volume:117 Page:109246
ISSN:0045-7906
Container-title:Computers and Electrical Engineering
language:en
Short-container-title:Computers and Electrical Engineering

Author:

Hosain Md. Tanzib,Jim Jamin Rahman,Mridha M.F.^ORCID,Kabir Md Mohsin

Publisher

Elsevier BV

Reference136 articles.

1. Explainable artificial intelligence: an analytical review;Angelov;Wiley Interdiscip Rev: Data Min Knowl Discov,2021

2. Towards explainable artificial intelligence;Samek;Explainable AI: Interpret, Explain Vis Deep Learn,2019

3. A systematic review of explainable artificial intelligence in terms of different application domains and tasks;Islam;Appl Sci,2022

4. Decision trees: A recent overview;Kotsiantis;Artif Intell Rev,2013

5. Introduction to linear regression analysis;Montgomery,2021

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Introduction to the special section on eXplainable Artificial Intelligence (XAI): Methods, Applications, and Challenges (VSI-xai);Computers and Electrical Engineering;2024-12

2. Explainable and generalizable AI-driven multiscale informatics for dynamic system modelling;Scientific Reports;2024-08-06

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