An Interpretability Analysis Framework to Enhance Deep Learning Model Transparency: With a Study Case on Flashover Prediction Using Time-Series Sensor Data.
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| Title: | An Interpretability Analysis Framework to Enhance Deep Learning Model Transparency: With a Study Case on Flashover Prediction Using Time-Series Sensor Data. |
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| Authors: | Fan, Linhao1, fan7tree@mail.ustc.edu.cn, Tong, Qi2, qi.tong@nist.gov, Fang, Hongqiang2, hongqiang.fang@nist.gov, Zhong, Wei3, zhongwei@zzu.edu.cn, Tam, Wai Cheong2, waicheong.tam@nist.gov, Liang, Tianshui3, liangtsh@zzu.edu.cn |
| Source: | Fire Technology; Sep2025, Vol. 61 Issue 5, p2999-3024, 26p |
| Database: | Applied Science & Technology Source |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 187782213 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: An Interpretability Analysis Framework to Enhance Deep Learning Model Transparency: With a Study Case on Flashover Prediction Using Time-Series Sensor Data. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Fan%2C+Linhao%22">Fan, Linhao</searchLink><relatesTo>1</relatesTo>, <i>fan7tree@mail.ustc.edu.cn</i><br /><searchLink fieldCode="AU" term="%22Tong%2C+Qi%22">Tong, Qi</searchLink><relatesTo>2</relatesTo>, <i>qi.tong@nist.gov</i><br /><searchLink fieldCode="AU" term="%22Fang%2C+Hongqiang%22">Fang, Hongqiang</searchLink><relatesTo>2</relatesTo>, <i>hongqiang.fang@nist.gov</i><br /><searchLink fieldCode="AU" term="%22Zhong%2C+Wei%22">Zhong, Wei</searchLink><relatesTo>3</relatesTo>, <i>zhongwei@zzu.edu.cn</i><br /><searchLink fieldCode="AU" term="%22Tam%2C+Wai+Cheong%22">Tam, Wai Cheong</searchLink><relatesTo>2</relatesTo>, <i>waicheong.tam@nist.gov</i><br /><searchLink fieldCode="AU" term="%22Liang%2C+Tianshui%22">Liang, Tianshui</searchLink><relatesTo>3</relatesTo>, <i>liangtsh@zzu.edu.cn</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Fire+Technology%22">Fire Technology</searchLink>; Sep2025, Vol. 61 Issue 5, p2999-3024, 26p |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=187782213 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s10694-025-01713-1 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 26 StartPage: 2999 Titles: – TitleFull: An Interpretability Analysis Framework to Enhance Deep Learning Model Transparency: With a Study Case on Flashover Prediction Using Time-Series Sensor Data. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Fan, Linhao – PersonEntity: Name: NameFull: Tong, Qi – PersonEntity: Name: NameFull: Fang, Hongqiang – PersonEntity: Name: NameFull: Zhong, Wei – PersonEntity: Name: NameFull: Tam, Wai Cheong – PersonEntity: Name: NameFull: Liang, Tianshui IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 09 Text: Sep2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 00152684 Numbering: – Type: volume Value: 61 – Type: issue Value: 5 Titles: – TitleFull: Fire Technology Type: main |
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