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Identifying learners robust to low quality data.

, , , and . IRI, page 190-195. IEEE Systems, Man, and Cybernetics Society, (2008)

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Rule-Based Multiple Object Tracking for Traffic Surveillance Using Collaborative Background Extraction., , , and . ISVC (2), volume 4842 of Lecture Notes in Computer Science, page 469-478. Springer, (2007)Learning with limited minority class data., , , , and . ICMLA, page 348-353. IEEE Computer Society, (2007)Multiple Communicating Autonomous Underwater Vehicles., , , , , and . ICRA, page 4461-4464. IEEE, (2004)Analyzing the Impact of Attribute Noise on Software Quality Classification., , and . SEKE, page 73-78. Knowledge Systems Institute Graduate School, (2008)An empirical study of the classification performance of learners on imbalanced and noisy software quality data., , , and . Inf. Sci., (2014)Software quality modeling: The impact of class noise on the random forest classifier., , , and . IEEE Congress on Evolutionary Computation, page 3853-3859. IEEE, (2008)Learning from Software Quality Data with Class Imbalance and Noise., , , and . SEKE, page 487-. Knowledge Systems Institute Graduate School, (2007)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)Comparison of Four Performance Metrics for Evaluating Sampling Techniques for Low Quality Class-Imbalanced Data., , and . ICMLA, page 153-158. IEEE Computer Society, (2008)A Performance Analysis tool for Unix Massively Parallel Computers.. Nova Southeastern University, Fort Lauderdale, Florida, USA, (1998)base-search.net (ftnsoutheastern:oai:nsuworks.nova.edu:gscis_etd-1521).