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Two-level classifier ensembles for credit risk assessment., , and . Expert Syst. Appl., 39 (12): 10916-10922 (2012)Hybrid Associative Memories for Imbalanced Data Classification: An Experimental Study., , , , , and . MCPR, volume 7914 of Lecture Notes in Computer Science, page 325-334. Springer, (2013)Data Characterization for Effective Prototype Selection., , and . IbPRIA (2), volume 3523 of Lecture Notes in Computer Science, page 27-34. Springer, (2005)The Imbalanced Training Sample Problem: Under or over Sampling?, , , and . SSPR/SPR, volume 3138 of Lecture Notes in Computer Science, page 806. Springer, (2004)One-Sided Prototype Selection on Class Imbalanced Dissimilarity Matrices., , and . SSPR/SPR, volume 7626 of Lecture Notes in Computer Science, page 391-399. Springer, (2012)A literature review on the application of evolutionary computing to credit scoring., , and . JORS, 64 (9): 1384-1399 (2013)Mapping microarray gene expression data into dissimilarity spaces for tumor classification., and . Inf. Sci., (2015)When Overlapping Unexpectedly Alters the Class Imbalance Effects., , , , and . IbPRIA (2), volume 4478 of Lecture Notes in Computer Science, page 499-506. Springer, (2007)High training set size reduction by space partitioning and prototype abstraction.. Pattern Recognit., 37 (7): 1561-1564 (2004)DBIG-US: A two-stage under-sampling algorithm to face the class imbalance problem., , , and . Expert Syst. Appl., (2021)