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Comparison of approaches to alleviate problems with high-dimensional and class-imbalanced data.

, , , and . IRI, page 234-239. IEEE Systems, Man, and Cybernetics Society, (2011)

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Impact of Noise and Data Sampling on Stability of Feature Selection., , and . ICMLA (1), page 172-177. IEEE Computer Society, (2011)Evaluation of the importance of data pre-processing order when combining feature selection and data sampling., , , and . Int. J. Bus. Intell. Data Min., 7 (1/2): 116-134 (2012)How ranker and learner choice affects classification performance on noisy bioinformatics data., , , and . IRI, page 277-282. IEEE Computer Society, (2014)Impact of noise and data sampling on stability of feature ranking techniques for biological datasets., , , and . IRI, page 415-422. IEEE, (2012)The effect of measurement approach and noise level on gene selection stability., , and . BIBM, page 1-5. IEEE Computer Society, (2012)Evaluation of Wrapper-Based Feature Selection Using Hard, Moderate, and Easy Bioinformatics Data., , and . BIBE, page 149-155. IEEE Computer Society, (2014)Comparative Analysis on the Stability of Feature Selection Techniques Using Three Frameworks on Biological Datasets., , , and . ICMLA (1), page 418-423. IEEE, (2013)Comparison of approaches to alleviate problems with high-dimensional and class-imbalanced data., , , and . IRI, page 234-239. IEEE Systems, Man, and Cybernetics Society, (2011)Is Gene Selection Enough for Imbalanced Bioinformatics Data?, and . IRI, page 346-355. IEEE, (2018)Comparison of Two Frameworks for Measuring the Stability of Gene-Selection Techniques on Noisy Class-Imbalanced Data., , and . ICTAI, page 881-888. IEEE Computer Society, (2013)