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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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Experimental perspectives on learning from imbalanced data., , and . ICML, volume 227 of ACM International Conference Proceeding Series, page 935-942. ACM, (2007)Stability of Filter-Based Feature Selection Methods for Imbalanced Software Measurement Data., , and . SEKE, page 74-79. Knowledge Systems Institute Graduate School, (2012)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)Simplifying the Utilization of Machine Learning Techniques for Bioinformatics., , , and . ICMLA (2), page 396-403. IEEE, (2013)978-0-7695-5144-9.Studying the Effect of Class Imbalance in Ocean Turbine Fault Data on Reliable State Detection., , and . ICMLA (1), page 268-275. IEEE, (2012)Determining the Number of Iterations Appropriate for Ensemble Gene Selection on Microarray Data., , , and . ICMLA (1), page 82-89. IEEE, (2012)A noise-based stability evaluation of threshold-based feature selection techniques., , and . IRI, page 240-245. IEEE Systems, Man, and Cybernetics Society, (2011)