Interactive exploration of CNN interpretability via coalitional game theory

Interactive exploration of CNN interpretability via coalitional game theory

Abstract Convolutional neural network (CNN) has been widely used in image classification tasks. Neuron feature visualization techniques can generate intuitive images to depict features extracted by neurons, helping users to interpret the working mechanism of a CNN. However, a CNN model commonly has...

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Bibliographic Details
Main Authors: Lei Yang, Lingmeng Lu, Chao Liu, Jian Zhang, Kehua Guo, Ning Zhang, Fangfang Zhou, Ying Zhao
Format: Article
Language:English
Published: Nature Portfolio 2025-03-01
Series:Scientific Reports
Subjects:
Explainable artificial intelligence
Convolutional neural network
Neuron feature visualization
Visual analytics
Online Access:https://doi.org/10.1038/s41598-025-94052-8
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https://doi.org/10.1038/s41598-025-94052-8

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