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A Dynamometer for an Ocean Turbine Prototype: Reliability through Automated Monitoring.

, , , , and . HASE, page 244-251. IEEE Computer Society, (2011)

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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)Uncertain Classification of Fault-Prone Software Modules., , , , and . Empirical Software Engineering, 7 (4): 295-295 (2002)Modelling software quality with GP., , , and . GECCO, page 1232. Morgan Kaufmann, (1999)Software quality modeling: The impact of class noise on the random forest classifier., , , and . IEEE Congress on Evolutionary Computation, page 3853-3859. IEEE, (2008)Experimental perspectives on learning from imbalanced data., , and . ICML, volume 227 of ACM International Conference Proceeding Series, page 935-942. ACM, (2007)The Dimensionality of Program Complexity., and . ICSE, page 245-253. IEEE Computer Society / ACM Press, (1989)Random forest: A reliable tool for patient response prediction., , , and . BIBM Workshops, page 289-296. IEEE Computer Society, (2011)Feature Selection with High-Dimensional Imbalanced Data., , , and . ICDM Workshops, page 507-514. IEEE Computer Society, (2009)Hybrid Collaborative Filtering Algorithms Using a Mixture of Experts., , , and . Web Intelligence, page 645-649. IEEE Computer Society, (2007)