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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)

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On the use of data filtering techniques for credit risk prediction with instance-based models., , and . Expert Syst. Appl., 39 (18): 13267-13276 (2012)An insight into the experimental design for credit risk and corporate bankruptcy prediction systems., , and . J. Intell. Inf. Syst., 44 (1): 159-189 (2015)Classification of High Dimensional and Imbalanced Hyperspectral Imagery Data., , and . IbPRIA, volume 6669 of Lecture Notes in Computer Science, page 644-651. Springer, (2011)A Preliminary Study of SMOTE on Imbalanced Big Datasets When Dealing with Sparse and Dense High Dimensionality., , , , , and . MCPR, volume 13264 of Lecture Notes in Computer Science, page 46-55. Springer, (2022)A survey on uncertainty quantification in deep learning for financial time series prediction., , and . Neurocomputing, (2024)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)Exploring Synergetic Effects of Dimensionality Reduction and Resampling Tools on Hyperspectral Imagery Data Classification., , and . MLDM, volume 6871 of Lecture Notes in Computer Science, page 511-523. Springer, (2011)Associative learning on imbalanced environments: An empirical study., , , and . Expert Syst. Appl., (2016)Exploring the Performance of Resampling Strategies for the Class Imbalance Problem., , and . IEA/AIE (1), volume 6096 of Lecture Notes in Computer Science, page 541-549. Springer, (2010)Non-parametric Statistical Analysis of Machine Learning Methods for Credit Scoring., , and . IS-MiS, volume 171 of Advances in Intelligent Systems and Computing, page 263-272. Springer, (2012)