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Selecting the Appropriate Ensemble Learning Approach for Balanced Bioinformatics Data.

, , и . FLAIRS, стр. 329-334. AAAI Press, (2015)

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A New Fixed-Overlap Partitioning Algorithm for Determining Stability of Bioinformatics Gene Rankers., , и . ICMLA (2), стр. 170-177. IEEE, (2012)978-1-4673-4651-1.Feature list aggregation approaches for ensemble gene selection on patient response datasets., , , и . IRI, стр. 317-324. IEEE Computer Society, (2013)Stability Analysis of Feature Ranking Techniques on Biological Datasets., , , и . BIBM, стр. 252-256. IEEE Computer Society, (2011)A review of the stability of feature selection techniques for bioinformatics data., , , , и . IRI, стр. 356-363. IEEE, (2012)Selecting the Appropriate Ensemble Learning Approach for Balanced Bioinformatics Data., , и . FLAIRS, стр. 329-334. AAAI Press, (2015)Using Random Undersampling to Alleviate Class Imbalance on Tweet Sentiment Data., , , и . IRI, стр. 197-202. IEEE Computer Society, (2015)Selecting the Appropriate Data Sampling Approach for Imbalanced and High-Dimensional Bioinformatics Datasets., , и . BIBE, стр. 304-310. IEEE Computer Society, (2014)Random forest: A reliable tool for patient response prediction., , , и . BIBM Workshops, стр. 289-296. IEEE Computer Society, (2011)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)