DETOXER : A Visual Debugging Tool With Multiscope Explanations for Temporal Multilabel Classification
In many applications, developed deep-learning models need to be iteratively debugged and refined to improve the model efficiency over time. Debugging some models, such as temporal multilabel classification (TMLC) where each data point can simultaneously belong to multiple classes, can be especially...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE computer graphics and applications. - 1991. - 42(2022), 6 vom: 01. Nov., Seite 37-46
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| 1. Verfasser: |
Nourani, Mahsan
(VerfasserIn) |
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| Weitere Verfasser: |
Roy, Chiradeep,
Honeycutt, Donald R,
Ragan, Eric D,
Gogate, Vibhav |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2022
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| Zugriff auf das übergeordnete Werk: | IEEE computer graphics and applications
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| Schlagworte: | Journal Article |
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