A graph-based interpretability method for deep neural networks-Reference-Cited by-同舟云学术

A graph-based interpretability method for deep neural networks

Published:2023-10 Issue: Volume:555 Page:126651
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Wang Tao,Zheng Xiangwei^ORCID,Zhang Lifeng,Cui Zhen,Xu Chunyan

Funder

National Natural Science Foundation of China-Shandong Joint Fund for Marine Science Research Centers

Project of Shandong Province Higher Educational Science and Technology Program

Key Technology Research and Development Program of Shandong Province

Natural Science Foundation of Shandong Province

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference38 articles.

1. A survey on explainable artificial intelligence (Xai): Toward medical Xai;Tjoa;IEEE Trans. Neural Netw. Learn. Syst.,2020

2. Explainable deep learning models in medical image analysis;Singh;J. Imaging,2020

3. A review of deep learning on medical image analysis;Wang;Mob. Netw. Appl.,2021

4. Explainable artificial intelligence for autonomous driving: A comprehensive overview and field guide for future research directions;Atakishiyev,2021

5. Random maximum 2 satisfiability logic in discrete hopfield neural network incorporating improved election algorithm;Someetheram;Mathematics,2022

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