Title | Mutual Adaptation: Learning From Prototype for Time Series Prediction |
Author | |
Publication Years | 2023
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DOI | |
Source Title | |
ISSN | 2691-4581
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Volume | PPIssue:99Pages:1-16 |
Keywords | |
URL | [Source Record] |
SUSTech Authorship | Others
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Data Source | IEEE
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PDF url | https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10143292 |
Citation statistics |
Cited Times [WOS]:0
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Document Type | Journal Article |
Identifier | http://kc.sustech.edu.cn/handle/2SGJ60CL/549025 |
Department | Department of Computer Science and Engineering |
Affiliation | 1.Center for Spatial Information Science, University of Tokyo, China, Japan 2.LocationMind Inc. 3-5-2 Iwamotocho, Chiyoda-ku, Japan 3.SUSTech-UTokyo Joint Research Center on Super Smart City, Department of Computer Science and Engineering, Southern University of Science and Technology, Shenzhen, China |
Recommended Citation GB/T 7714 |
Jinyu Chen,Xiaodan Shi,Haoran Zhang,et al. Mutual Adaptation: Learning From Prototype for Time Series Prediction[J]. IEEE Transactions on Artificial Intelligence,2023,PP(99):1-16.
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APA |
Jinyu Chen.,Xiaodan Shi.,Haoran Zhang.,Wenjing Li.,Peiran Li.,...&Ryosuke Shibasaki.(2023).Mutual Adaptation: Learning From Prototype for Time Series Prediction.IEEE Transactions on Artificial Intelligence,PP(99),1-16.
|
MLA |
Jinyu Chen,et al."Mutual Adaptation: Learning From Prototype for Time Series Prediction".IEEE Transactions on Artificial Intelligence PP.99(2023):1-16.
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