A Survey on Explainable Artificial Intelligence Techniques and Challenges-Reference-Cited by-同舟云学术

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A Survey on Explainable Artificial Intelligence Techniques and Challenges

Published:2021-10 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE 25th International Enterprise Distributed Object Computing Workshop (EDOCW)
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Author:

Hanif Ambreen,Zhang Xuyun,Wood Steven

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9626197/9626200/09626294.pdf?arnumber=9626294

Cited by 28 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. CNN-BLSTM based deep learning framework for eukaryotic kinome classification: An explainability based approach;Computational Biology and Chemistry;2024-10

2. Generative Adversarial Networks for SAR Automatic Target Recognition and Classification Models Enhanced Explainability: Perspectives and Challenges;Remote Sensing;2024-07-13

3. Analyzing Trustworthiness and Explainability in Artificial Intelligence: A Comprehensive Review;Recent Advances in Electrical & Electronic Engineering (Formerly Recent Patents on Electrical & Electronic Engineering);2024-07-04

4. Advanced insights through systematic analysis: Mapping future research directions and opportunities for xAI in deep learning and artificial intelligence used in cybersecurity;Neurocomputing;2024-07

5. Explainable AI Frameworks: Navigating the Present Challenges and Unveiling Innovative Applications;Algorithms;2024-05-24

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