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RUSBoost: A Hybrid Approach to Alleviating Class Imbalance.

, , , and . IEEE Trans. Syst. Man Cybern. Part A, 40 (1): 185-197 (2010)

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Which Software Modules have Faults which will be Discovered by Customers?, , , and . Journal of Software Maintenance, 11 (1): 1-18 (1999)An Empirical Study of the Classification Performance of Learners on Imbalanced and Noisy Software Quality Data., , , and . IRI, page 651-658. IEEE Systems, Man, and Cybernetics Society, (2007)Incomplete-Case Nearest Neighbor Imputation in Software Measurement Data., and . IRI, page 630-637. IEEE Systems, Man, and Cybernetics Society, (2007)Balancing Misclassification Rates in Classification-Tree Models of Software Quality., , and . Empirical Software Engineering, 5 (4): 313-330 (2000)Analogy-Based Practical Classification Rules for Software Quality Estimation., and . Empirical Software Engineering, 8 (4): 325-350 (2003)Uncertain Classification of Fault-Prone Software Modules., , , , and . Empirical Software Engineering, 7 (4): 295-295 (2002)A Comparative Study of Ordering and Classification of Fault-Prone Software Modules., and . Empirical Software Engineering, 4 (2): 159-186 (1999)Introduction to the Special Issue on Quality Engineering with Computational Intelligence.. Software Quality Journal, 11 (2): 85-86 (2003)Unsupervised multiscale color image segmentation based on MDL principle., and . IEEE Trans. Image Processing, 15 (9): 2755-2761 (2006)Transfer Learning Techniques., , and . Big Data Technologies and Applications, Springer, (2016)