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Learning from Software Quality Data with Class Imbalance and Noise.

, , , and . SEKE, page 487-. Knowledge Systems Institute Graduate School, (2007)

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Software quality modeling: The impact of class noise on the random forest classifier., , , and . IEEE Congress on Evolutionary Computation, page 3853-3859. IEEE, (2008)Stability and Classification Performance of Feature Selection Techniques., , and . ICMLA (1), page 151-156. IEEE Computer Society, (2011)Evolutionary Optimization of Software Quality Modeling with Multiple Repositories., , and . IEEE Trans. Software Eng., 36 (6): 852-864 (2010)The Dimensionality of Program Complexity., and . ICSE, page 245-253. IEEE Computer Society / ACM Press, (1989)Unsupervised multiscale color image segmentation based on MDL principle., and . IEEE Trans. Image Processing, 15 (9): 2755-2761 (2006)Modelling software quality with GP., , , and . GECCO, page 1232. Morgan Kaufmann, (1999)Experimental perspectives on learning from imbalanced data., , and . ICML, volume 227 of ACM International Conference Proceeding Series, page 935-942. ACM, (2007)Transfer Learning Techniques., , and . Big Data Technologies and Applications, Springer, (2016)Survey of review spam detection using machine learning techniques., , , , and . J. Big Data, (2015)Deep Learning with Maxout Activations for Visual Recognition and Verification., , and . IRI, page 135-142. IEEE, (2019)