The Transform-and-Perform Framework : Explainable Deep Learning Beyond Classification
In recent years, visual analytics (VA) has shown promise in alleviating the challenges of interpreting black-box deep learning (DL) models. While the focus of VA for explainable DL has been mainly on classification problems, DL is gaining popularity in high-dimensional-to-high-dimensional (H-H) prob...
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Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on visualization and computer graphics. - 1996. - 30(2024), 2 vom: 15. Feb., Seite 1502-1515
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| 1. Verfasser: |
Prasad, Vidya
(VerfasserIn) |
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| Weitere Verfasser: |
van Sloun, Ruud J G,
Elzen, Stef van den,
Vilanova, Anna,
Pezzotti, Nicola |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2024
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on visualization and computer graphics
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| Schlagworte: | Journal Article |
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