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A Study on the Noise Label Influence in Boosting Algorithms: AdaBoost, GBM and XGBoost.

, , and . HAIS, volume 10334 of Lecture Notes in Computer Science, page 268-280. Springer, (2017)

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Improving Pairwise Learning Classification in Fuzzy Rule Based Classification Systems Using Dynamic Classifier Selection., , , , and . IFSA-EUSFLAT, Atlantis Press, (2015)On the Use of Random Discretization and Dimensionality Reduction in Ensembles for Big Data., , , and . HAIS, volume 10870 of Lecture Notes in Computer Science, page 15-26. Springer, (2018)Hybrid Distributed Real-Coded Genetic Algorithms., , and . PPSN, volume 1498 of Lecture Notes in Computer Science, page 603-612. Springer, (1998)Eliciting comparative linguistic expressions in group decision making., , and . IFSA/NAFIPS, page 771-776. IEEE, (2013)Studying the behavior of a multiobjective genetic algorithm to design fuzzy rule-based classification systems for imbalanced data-sets., , and . FUZZ-IEEE, page 1239-1246. IEEE, (2011)Memetic Algorithm with Local Search Chaining for Continuous Optimization Problems: A Scalability Test., , and . ISDA, page 1068-1073. IEEE Computer Society, (2009)Improving the OVO performance in Fuzzy Rule-Based Classification Systems by the genetic learning of the granularity level., , , , and . FUZZ-IEEE, page 1-7. IEEE, (2015)A linguistic 2-tuple multicriteria decision making model dealing with hesitant linguistic information., , and . FUZZ-IEEE, page 1-7. IEEE, (2015)Visualizing Consensus in Group Decision Making Situations., , , , and . FUZZ-IEEE, page 1-6. IEEE, (2007)A First Study on the Use of Noise Filtering to Clean the Bags in Multi-Instance Classification., , , and . LOPAL, page 3:1-3:6. ACM, (2018)