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An Interpretability Analysis Framework to Enhance Deep Learning Model Transparency: With a Study Case on Flashover Prediction Using Time-Series Sensor Data

Crossref DOI link: https://doi.org/10.1007/s10694-025-01713-1

Published Online: 2025-02-12

Published Print: 2025-09

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Fan, Linhao

Tong, Qi

Fang, Hongqiang

Zhong, Wei

Tam, Wai Cheong https://orcid.org/0000-0003-3913-0243
Liang, Tianshui
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Text and Data Mining valid from 2025-02-12

Version of Record valid from 2025-02-12
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Article History

Received: 4 December 2023

Accepted: 31 January 2025

First Online: 12 February 2025

Change Date: 28 March 2025

Change Type: Update

Change Details: The co-author's affiliation has been corrected.

Change Date: 2 April 2025

Change Type: Correction

Change Details: A Correction to this paper has been published:

Change Details: https://doi.org/10.1007/s10694-025-01732-y

Updates are available Correction dated 2025-04-02

Click to view Correction: https://doi.org/10.1007/s10694-025-01732-y