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For: Wang X, Wang S, Du Y, Huang Z. Minimum class variance multiple kernel learning. Knowl Based Syst 2020;208:106469. [DOI: 10.1016/j.knosys.2020.106469] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
Number Cited by Other Article(s)
1
Cai Z, Zhang T, Ma F, Jing XY. Dual contrastive universal adaptation network for multi-source visual recognition. Knowl Based Syst 2022. [DOI: 10.1016/j.knosys.2022.109632] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/15/2022]
2
Luo J, Fang SC, Deng Z, Tian Y. Robust kernel-free support vector regression based on optimal margin distribution. Knowl Based Syst 2022. [DOI: 10.1016/j.knosys.2022.109477] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/17/2022]
3
Zhang Y, Lam S, Yu T, Teng X, Zhang J, Lee FKH, Au KH, Yip CWY, Wang S, Cai J. Integration of an imbalance framework with novel high-generalizable classifiers for radiomics-based distant metastases prediction of advanced nasopharyngeal carcinoma. Knowl Based Syst 2022. [DOI: 10.1016/j.knosys.2021.107649] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/09/2022]
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