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ODOC-ELM: Optimal decision outputs compensation-based extreme learning machine for classifying imbalanced data., , , , , и . Knowl. Based Syst., (2016)面向类别不平衡数据的主动在线加权极限学习机算法 (Active, Online and Weighted Extreme Learning Machine Algorithm for Class Imbalance Data)., , и . 计算机科学, 44 (12): 221-226 (2017)Cost-sensitive rough set approach., , , , , и . Inf. Sci., (2016)Iterative GDHP-based approximate optimal tracking control for a class of discrete-time nonlinear systems., , , и . Neurocomputing, (2016)Characterizing Hierarchies on Covering-Based Multigranulation Spaces., , , , , и . RSKT, том 8818 из Lecture Notes in Computer Science, стр. 467-478. Springer, (2014)A novel emergency situation awareness machine learning approach to assess flood disaster risk based on Chinese Weibo., , , и . Neural Comput. Appl., 34 (11): 8431-8446 (2022)RUE: A robust personalized cost assignment strategy for class imbalance cost-sensitive learning., , , , и . J. King Saud Univ. Comput. Inf. Sci., 35 (4): 36-49 (2023)Grouped SMOTE With Noise Filtering Mechanism for Classifying Imbalanced Data., , , , , и . IEEE Access, (2019)Ensemble and Quick Strategy for Searching Reduct: A Hybrid Mechanism., , , , и . Inf., 12 (1): 25 (2021)Training data selection for imbalanced cross-project defect prediction., , , , и . Comput. Electr. Eng., (2021)