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Predicting Cancer Relapse with Clinical Data: A Survey of Current Techniques.

, and . IRI, page 369-376. IEEE Computer Society, (2016)

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Identifying noisy features with the Pairwise Attribute Noise Detection Algorithm., and . Intell. Data Anal., 9 (6): 589-602 (2005)The multiple imputation quantitative noise corrector., , , and . Intell. Data Anal., 11 (3): 245-263 (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)Which Software Modules have Faults which will be Discovered by Customers?, , , and . Journal of Software Maintenance, 11 (1): 1-18 (1999)Experimental perspectives on learning from imbalanced data., , and . ICML, volume 227 of ACM International Conference Proceeding Series, page 935-942. ACM, (2007)Modelling software quality with GP., , , and . GECCO, page 1232. Morgan Kaufmann, (1999)