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Experimental perspectives on learning from imbalanced data.

, , and . ICML, volume 227 of ACM International Conference Proceeding Series, page 935-942. ACM, (2007)

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Building Useful Models from Imbalanced Data with Sampling and Boosting., , , and . FLAIRS, page 306-311. AAAI Press, (2008)A Comparative Study of Threshold-Based Feature Selection Techniques., , and . GrC, page 499-504. IEEE Computer Society, (2010)Comparative Analysis of DNA Microarray Data through the Use of Feature Selection Techniques., , , and . ICMLA, page 147-152. IEEE Computer Society, (2010)An exploration of learning when data is noisy and imbalanced., , and . Intell. Data Anal., 15 (2): 215-236 (2011)Software quality imputation in the presence of noisy data., , , and . IRI, page 484-489. IEEE Systems, Man, and Cybernetics Society, (2006)Identifying learners robust to low quality data., , , and . IRI, page 190-195. IEEE Systems, Man, and Cybernetics Society, (2008)A Hybrid Approach to Cleansing Software Measurement Data., , and . ICTAI, page 713-722. IEEE Computer Society, (2006)Aggregating Performance Metrics for Classifier Evaluation., , and . IRI, page 35-40. IEEE Systems, Man, and Cybernetics Society, (2009)A comparative evaluation of feature ranking methods for high dimensional bioinformatics data., , and . IRI, page 315-320. IEEE Systems, Man, and Cybernetics Society, (2011)Evaluating the impact of data quality on sampling., , and . IRI, page 31-36. IEEE Systems, Man, and Cybernetics Society, (2010)