A Visual Analytics System for Improving Attention-based Traffic Forecasting Models
With deep learning (DL) outperforming conventional methods for different tasks, much effort has been devoted to utilizing DL in various domains. Researchers and developers in the traffic domain have also designed and improved DL models for forecasting tasks such as estimation of traffic speed and ti...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on visualization and computer graphics. - 1996. - 29(2023), 1 vom: 07. Jan., Seite 1102-1112
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| 1. Verfasser: |
Jin, Seungmin
(VerfasserIn) |
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| Weitere Verfasser: |
Lee, Hyunwook,
Park, Cheonbok,
Chu, Hyeshin,
Tae, Yunwon,
Choo, Jaegul,
Ko, Sungahn |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2023
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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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