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For: Liu L, Tang L, Jin X, Zhou W. A Multi-Label Supervised Topic Model Conditioned on Arbitrary Features for Gene Function Prediction. Genes (Basel) 2019;10:E57. [PMID: 30658497 DOI: 10.3390/genes10010057] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2018] [Revised: 01/01/2019] [Accepted: 01/10/2019] [Indexed: 11/25/2022]  Open
Number Cited by Other Article(s)
1
Jia L, Sun D, Shi Y, Tan Y, Gao Q, Lu Y. Learning label-specific features via neural network for multi-label classification. INT J MACH LEARN CYB 2022. [DOI: 10.1007/s13042-022-01692-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
2
Cost-sensitive feature selection on multi-label data via neighborhood granularity and label enhancement. APPL INTELL 2021. [DOI: 10.1007/s10489-020-01993-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
3
Multi-label feature selection based on label distribution and feature complementarity. Appl Soft Comput 2020. [DOI: 10.1016/j.asoc.2020.106167] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
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