CAM-NAS: An Efficient and Interpretable Neural Architecture Search Model Based on Class Activation Mapping.
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| Title: | CAM-NAS: An Efficient and Interpretable Neural Architecture Search Model Based on Class Activation Mapping. |
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| Authors: | Zhang, Zhiyuan1, zhiyuan15@hanyang.ac.kr, Wang, Zhan1, Joe, Inwhee1, iwjoe@hanyang.ac.kr |
| Source: | Applied Sciences (2076-3417); Sep2023, Vol. 13 Issue 17, p9686, 13p |
| 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: 171855166 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: CAM-NAS: An Efficient and Interpretable Neural Architecture Search Model Based on Class Activation Mapping. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Zhang%2C+Zhiyuan%22">Zhang, Zhiyuan</searchLink><relatesTo>1</relatesTo>, <i>zhiyuan15@hanyang.ac.kr</i><br /><searchLink fieldCode="AU" term="%22Wang%2C+Zhan%22">Wang, Zhan</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Joe%2C+Inwhee%22">Joe, Inwhee</searchLink><relatesTo>1</relatesTo>, <i>iwjoe@hanyang.ac.kr</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Applied+Sciences+%282076-3417%29%22">Applied Sciences (2076-3417)</searchLink>; Sep2023, Vol. 13 Issue 17, p9686, 13p |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=171855166 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3390/app13179686 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 13 StartPage: 9686 Titles: – TitleFull: CAM-NAS: An Efficient and Interpretable Neural Architecture Search Model Based on Class Activation Mapping. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Zhang, Zhiyuan – PersonEntity: Name: NameFull: Wang, Zhan – PersonEntity: Name: NameFull: Joe, Inwhee IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 09 Text: Sep2023 Type: published Y: 2023 Identifiers: – Type: issn-print Value: 20763417 Numbering: – Type: volume Value: 13 – Type: issue Value: 17 Titles: – TitleFull: Applied Sciences (2076-3417) Type: main |
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