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An insight into the experimental design for credit risk and corporate bankruptcy prediction systems., , and . J. Intell. Inf. Syst., 44 (1): 159-189 (2015)On the use of data filtering techniques for credit risk prediction with instance-based models., , and . Expert Syst. Appl., 39 (18): 13267-13276 (2012)A hybrid method to face class overlap and class imbalance on neural networks and multi-class scenarios., , , and . Pattern Recognition Letters, 34 (4): 380-388 (2013)An Enhanced Lightweight IoT-based Authentication Scheme in Cloud Computing Circumstances., , , , , , and . Sensors, 19 (9): 2098 (2019)Classification of High Dimensional and Imbalanced Hyperspectral Imagery Data., , and . IbPRIA, volume 6669 of Lecture Notes in Computer Science, page 644-651. Springer, (2011)An Insight on the 'Large G, Small n' Problem in Gene-Expression Microarray Classification., , , , and . IbPRIA, volume 10255 of Lecture Notes in Computer Science, page 483-490. Springer, (2017)On the effectiveness of preprocessing methods when dealing with different levels of class imbalance., , and . Knowl.-Based Syst., 25 (1): 13-21 (2012)Strategies for learning in class imbalance problems., , , and . Pattern Recognition, 36 (3): 849-851 (2003)On the k-NN performance in a challenging scenario of imbalance and overlapping., , and . Pattern Anal. Appl., 11 (3-4): 269-280 (2008)Associative learning on imbalanced environments: An empirical study., , , and . Expert Syst. Appl., (2016)