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Fuzzy Support Vector Machine With Relative Density Information for Classifying Imbalanced Data.

, , , , and . IEEE Trans. Fuzzy Systems, 27 (12): 2353-2367 (2019)

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Updating multigranulation rough approximations with increasing of granular structures., , , , and . Knowl.-Based Syst., (2014)Estimating harmfulness of class imbalance by scatter matrix based class separability measure., , , , and . Intell. Data Anal., 18 (2): 203-216 (2014)Fuzzy One-Class Extreme Auto-encoder., , , , , and . Neural Processing Letters, 50 (1): 701-727 (2019)AL-ELM: One uncertainty-based active learning algorithm using extreme learning machine., , , , and . Neurocomputing, (2015)Cost-sensitive rough set approach., , , , , and . Inf. Sci., (2016)Iterative GDHP-based approximate optimal tracking control for a class of discrete-time nonlinear systems., , , and . Neurocomputing, (2016)Understanding software reengineering requirements for cloud-oriented service architecture., , , , and . ICAC, page 48-53. IEEE, (2016)ODOC-ELM: Optimal decision outputs compensation-based extreme learning machine for classifying imbalanced data., , , , , and . Knowl.-Based Syst., (2016)CNN-Based Bi-Prediction Utilizing Spatial Information for Video Coding., , , and . ISCAS, page 1-5. IEEE, (2019)Characterizing Hierarchies on Covering-Based Multigranulation Spaces., , , , , and . RSKT, volume 8818 of Lecture Notes in Computer Science, page 467-478. Springer, (2014)