TimeREISE: Time Series Randomized Evolving Input Sample Explanation

TimeREISE: Time Series Randomized Evolving Input Sample Explanation

Deep neural networks are one of the most successful classifiers across different domains. However, their use is limited in safety-critical areas due to their limitations concerning interpretability. The research field of explainable artificial intelligence addresses this problem. However, most inter...

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Bibliographic Details
Main Authors: Dominique Mercier, Andreas Dengel, Sheraz Ahmed
Format: Article
Language:English
Published: MDPI AG 2022-05-01
Series:Sensors
Subjects:
deep learning
time series
interpretability
explainability
attribution
convolutional neural network
Online Access:https://www.mdpi.com/1424-8220/22/11/4084

Internet

https://www.mdpi.com/1424-8220/22/11/4084

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