Heatmap Assisted Accuracy Score Evaluation Method for Machine-Centric Explainable Deep Neural Networks

Heatmap Assisted Accuracy Score Evaluation Method for Machine-Centric Explainable Deep Neural Networks

There have existed many studies about the explainable artificial intelligence (XAI) that explains the logic behind the complex deep neural network called a black box. At the same time, researchers have tried to evaluate the explainability performance of various XAIs. However, most previous evaluatio...

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Bibliographic Details
Main Authors: Cho, H. (Author), Kang, S.-J (Author), Lee, J. (Author), Nam, H. (Author), Pyun, Y.J (Author)
Format: Article
Language:English
Published: Institute of Electrical and Electronics Engineers Inc. 2022
Subjects:
classification
Classification (of information)
Classification algorithm
Computation theory
Convolution
Deconvolution
Deconvolutions
Deep learning
deep neural network
Deep neural networks
evaluation
Evaluation
explainability
Explainability
HAAS
Heating system
Heatmap
Heatmap assisted accuracy score
Heatmaps
Image segmentation
Law
License
machine-centric
Machine-centric
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