Unlocking the black box: an in-depth review on interpretability, explainability, and reliability in deep learning.
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| Title: | Unlocking the black box: an in-depth review on interpretability, explainability, and reliability in deep learning. |
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| Authors: | ŞAHiN, Emrullah1, emrullah.sahin@dpu.edu.tr, Arslan, Naciye Nur1, naciye.arslan@dpu.edu.tr, Özdemir, Durmuş2, durmus.ozdemir@dpu.edu.tr |
| Source: | Neural Computing & Applications; Jan2025, Vol. 37 Issue 2, p859-965, 107p |
| 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: 182467443 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s00521-024-10437-2 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 107 StartPage: 859 Titles: – TitleFull: Unlocking the black box: an in-depth review on interpretability, explainability, and reliability in deep learning. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: ŞAHiN, Emrullah – PersonEntity: Name: NameFull: Arslan, Naciye Nur – PersonEntity: Name: NameFull: Özdemir, Durmuş IsPartOfRelationships: – BibEntity: Dates: – D: 11 M: 01 Text: Jan2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 09410643 Numbering: – Type: volume Value: 37 – Type: issue Value: 2 Titles: – TitleFull: Neural Computing & Applications Type: main |
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