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Ortega Vázquez C, vanden Broucke S, De Weerdt J. Hellinger distance decision trees for PU learning in imbalanced data sets. Mach Learn 2023. [DOI: 10.1007/s10994-023-06323-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/30/2023]
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Gong C, Zulfiqar MI, Zhang C, Mahmood S, Yang J. A Recent Survey on Instance-Dependent Positive and Unlabeled Learning. FUNDAMENTAL RESEARCH 2022. [DOI: 10.1016/j.fmre.2022.09.019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
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Liu B, Liu J, Xiao Y, Chen Q, Wang K, Huang R, Li L. A new self-paced learning method for privilege-based positive and unlabeled learning. Inf Sci (N Y) 2022. [DOI: 10.1016/j.ins.2022.07.143] [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]
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An Efficiency Curve for Evaluating Imbalanced Classifiers Considering Intrinsic Data Characteristics: Experimental Analysis. Inf Sci (N Y) 2022. [DOI: 10.1016/j.ins.2022.06.045] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/20/2023]
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Guo Y, Jiao B, Tan Y, Zhang P, Tang F. A transfer weighted extreme learning machine for imbalanced classification. INT J INTELL SYST 2022. [DOI: 10.1002/int.22899] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Affiliation(s)
- Yinan Guo
- School of Mechanical Electronic and Information Engineering China University of Mining and Technology (Beijing) Beijing China
- School of Information and Control Engineering China University of Mining and Technology Xuzhou China
| | - Botao Jiao
- School of Information and Control Engineering China University of Mining and Technology Xuzhou China
| | - Ying Tan
- School of Artificial Intelligence, Key Laboratory of Machine Perceptron (MOE), Institute for Artificial Intellignce Peking University Beijing China
| | - Pei Zhang
- School of Information and Control Engineering China University of Mining and Technology Xuzhou China
| | - Fengzhen Tang
- State Key Laboratory of Robotics, Shenyang Institute of Automation Chinese Academy of Sciences Shenyang China
- Institute for Robotics and Intelligent Manufacturing Chinese Academy of Sciences Shenyang China
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Predict-then-optimize or predict-and-optimize? An empirical evaluation of cost-sensitive learning strategies. Inf Sci (N Y) 2022. [DOI: 10.1016/j.ins.2022.02.021] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
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Fu C, Zhan Q, Liu W. Evidential reasoning based ensemble classifier for uncertain imbalanced data. Inf Sci (N Y) 2021. [DOI: 10.1016/j.ins.2021.07.027] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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