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Experimental perspectives on learning from imbalanced data., , и . ICML, том 227 из ACM International Conference Proceeding Series, стр. 935-942. ACM, (2007)A noise-based stability evaluation of threshold-based feature selection techniques., , и . IRI, стр. 240-245. IEEE Systems, Man, and Cybernetics Society, (2011)Using Twitter Content to Predict Psychopathy., , , и . ICMLA (2), стр. 394-401. IEEE, (2012)978-1-4673-4651-1.A Comparative Study on the Stability of Software Metric Selection Techniques., , , и . ICMLA (2), стр. 301-307. IEEE, (2012)978-1-4673-4651-1.Simplifying the Utilization of Machine Learning Techniques for Bioinformatics., , , и . ICMLA (2), стр. 396-403. IEEE, (2013)978-0-7695-5144-9.Random Forest with 200 Selected Features: An Optimal Model for Bioinformatics Research., , , и . ICMLA (1), стр. 154-160. IEEE, (2013)Comparative Analysis on the Stability of Feature Selection Techniques Using Three Frameworks on Biological Datasets., , , и . ICMLA (1), стр. 418-423. IEEE, (2013)Studying the Effect of Class Imbalance in Ocean Turbine Fault Data on Reliable State Detection., , и . ICMLA (1), стр. 268-275. IEEE, (2012)Determining the Number of Iterations Appropriate for Ensemble Gene Selection on Microarray Data., , , и . ICMLA (1), стр. 82-89. IEEE, (2012)Stability of Filter-Based Feature Selection Methods for Imbalanced Software Measurement Data., , и . SEKE, стр. 74-79. Knowledge Systems Institute Graduate School, (2012)