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Large Scale Instance Selection by Means of a Parallel Algorithm., , and . IDEAL, volume 6283 of Lecture Notes in Computer Science, page 1-12. Springer, (2010)Local-based k values for multi-label k-nearest neighbors rule., , , and . Eng. Appl. Artif. Intell., (2022)A Proposal for Local k Values for k-Nearest Neighbor Rule., , and . IEEE Trans. Neural Networks Learn. Syst., 28 (2): 470-475 (2017)A general framework for boosting feature subset selection algorithms., , , and . Inf. Fusion, (2018)Large scale instance selection by means of federal instance selection., , and . Data Knowl. Eng., (2012)A cooperative coevolutionary algorithm for instance selection for instance-based learning., , and . Mach. Learn., 78 (3): 381-420 (2010)Instance selection for multi-label learning based on a scalable evolutionary algorithm., , and . ICDM (Workshops), page 843-851. IEEE, (2021)SI(FS)2: Fast simultaneous instance and feature selection for datasets with many features., , and . Pattern Recognit., (2021)PARIS: Partial instance and training set selection. A new scalable approach to multi-label classification., , , and . Inf. Fusion, (July 2023)