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Strategies for learning in class imbalance problems., , , и . Pattern Recognit., 36 (3): 849-851 (2003)On the effectiveness of preprocessing methods when dealing with different levels of class imbalance., , и . Knowl. Based Syst., 25 (1): 13-21 (2012)Implementing a Novel Use of Multicriteria Decision Analysis to Select IIoT Platforms for Smart Manufacturing., , , , и . Symmetry, 12 (3): 368 (2020)Assessment of Financial Risk Prediction Models with Multi-criteria Decision Making Methods., , и . ICONIP (2), том 7664 из Lecture Notes in Computer Science, стр. 60-67. Springer, (2012)Associative learning on imbalanced environments: An empirical study., , , и . Expert Syst. Appl., (2016)On the k-NN performance in a challenging scenario of imbalance and overlapping., , и . Pattern Anal. Appl., 11 (3-4): 269-280 (2008)On the Suitability of Numerical Performance Measures for Class Imbalance Problems., , и . ICPRAM (1), стр. 310-313. SciTePress, (2012)A New Performance Evaluation Method for Two-Class Imbalanced Problems., , и . SSPR/SPR, том 5342 из Lecture Notes in Computer Science, стр. 917-925. Springer, (2008)Use of Ensemble Based on GA for Imbalance Problem., , , и . ISNN (2), том 5552 из Lecture Notes in Computer Science, стр. 547-554. Springer, (2009)Cost-Sensitive Neural Networks and Editing Techniques for Imbalance Problems., , , и . MCPR, том 6256 из Lecture Notes in Computer Science, стр. 180-188. Springer, (2010)