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Comparative Analysis on the Stability of Feature Selection Techniques Using Three Frameworks on Biological Datasets.

, , , and . ICMLA (1), page 418-423. IEEE, (2013)

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Stability and Classification Performance of Feature Selection Techniques., , and . ICMLA (1), page 151-156. IEEE Computer Society, (2011)Software quality modeling: The impact of class noise on the random forest classifier., , , and . IEEE Congress on Evolutionary Computation, page 3853-3859. IEEE, (2008)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)The Dimensionality of Program Complexity., and . ICSE, page 245-253. IEEE Computer Society / ACM Press, (1989)Detecting Outliers Using Rule-Based Modeling for Improving CBR-Based Software Quality Classification Models., , and . ICCBR, volume 2689 of Lecture Notes in Computer Science, page 216-230. Springer, (2003)Using Twitter Content to Predict Psychopathy., , , and . ICMLA (2), page 394-401. IEEE, (2012)978-1-4673-4651-1.A Comparative Study on the Stability of Software Metric Selection Techniques., , , and . ICMLA (2), page 301-307. IEEE, (2012)978-1-4673-4651-1.Random Forest with 200 Selected Features: An Optimal Model for Bioinformatics Research., , , and . ICMLA (1), page 154-160. IEEE, (2013)Comparative Analysis on the Stability of Feature Selection Techniques Using Three Frameworks on Biological Datasets., , , and . ICMLA (1), page 418-423. IEEE, (2013)