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For: Bi Y, Xue B, Zhang M. Instance Selection-Based Surrogate-Assisted Genetic Programming for Feature Learning in Image Classification. IEEE Trans Cybern 2023;53:1118-1132. [PMID: 34464287 DOI: 10.1109/tcyb.2021.3105696] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Number Cited by Other Article(s)
1
Multi-surrogate assisted multi-objective evolutionary algorithms for feature selection in regression and classification problems with time series data. Inf Sci (N Y) 2022. [DOI: 10.1016/j.ins.2022.12.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
2
Zeng D, Liu Z, Chen C, Zhang Y, Wu Z. Decentralized adaptive neural asymptotic control of switched nonlinear interconnected systems with predefined tracking performance. Neurocomputing 2022. [DOI: 10.1016/j.neucom.2022.08.062] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
3
Zhang L, Wang K, Xu L, Sheng W, Kang Q. Evolving ensembles using multi-objective genetic programming for imbalanced classification. Knowl Based Syst 2022. [DOI: 10.1016/j.knosys.2022.109611] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/31/2022]
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