| Title | Guest Editorial: Special Issue on Stream Learning |
| Author | |
| Publication Years | 2023-10
|
| DOI | |
| Source Title | |
| ISSN | 2162-2388
|
| Volume | 34Issue:10Pages:6683-6685 |
| Keywords | |
| URL | [Source Record] |
| Indexed By | |
| SUSTech Authorship | Others
|
| WOS Accession No | WOS:001083105200001
|
| Data Source | IEEE
|
| PDF url | https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10273179 |
| Citation statistics |
Cited Times [WOS]:0
|
| Document Type | Journal Article |
| Identifier | http://kc.sustech.edu.cn/handle/2SGJ60CL/575800 |
| Department | Department of Computer Science and Engineering |
| Affiliation | 1.Australian Artificial Intelligence Institute University of Technology Sydney, Ultimo, NSW, Australia 2.Faculty of Economics, University of Porto, Porto, Portugal 3.Department of Computer Science and Engineering, Southern University of Science and Technology, Shenzhen, China 4.School of Computer Science, University of Birmingham, Birmingham, U.K. |
| Recommended Citation GB/T 7714 |
Jie Lu,Joao Gama,Xin Yao,et al. Guest Editorial: Special Issue on Stream Learning[J]. IEEE Transactions on Neural Networks and Learning Systems,2023,34(10):6683-6685.
|
| APA |
Jie Lu,Joao Gama,Xin Yao,&Leandro Minku.(2023).Guest Editorial: Special Issue on Stream Learning.IEEE Transactions on Neural Networks and Learning Systems,34(10),6683-6685.
|
| MLA |
Jie Lu,et al."Guest Editorial: Special Issue on Stream Learning".IEEE Transactions on Neural Networks and Learning Systems 34.10(2023):6683-6685.
|
| Files in This Item: | There are no files associated with this item. | |||||
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