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Advances in domain adaptation for computer vision., , , и . Image Vis. Comput., (2021)An insight into classification with imbalanced data: Empirical results and current trends on using data intrinsic characteristics., , , , и . Inf. Sci., (2013)Enabling Smart Data: Noise filtering in Big Data classification., , , и . CoRR, (2017)Prototype Selection for Nearest Neighbor Classification: Taxonomy and Empirical Study., , , и . IEEE Trans. Pattern Anal. Mach. Intell., 34 (3): 417-435 (2012)An empirical study on the joint impact of feature selection and data resampling on imbalance classification., , , , , , и . Appl. Intell., 53 (5): 5449-5461 (марта 2023)SMOTE for Learning from Imbalanced Data: Progress and Challenges, Marking the 15-year Anniversary., , , и . J. Artif. Intell. Res., (2018)Speech emotion recognition via multiple fusion under spatial-temporal parallel network., , , , , и . Neurocomputing, (октября 2023)Recent Trends in the Use of Statistical Tests for Comparing Swarm and Evolutionary Computing Algorithms: Practical Guidelines and a Critical Review., , , , и . CoRR, (2020)OCAPIS: R package for Ordinal Classification and Preprocessing in Scala., , , и . Prog. Artif. Intell., 8 (3): 287-292 (2019)Special issue on Hybrid Fuzzy Models., , , и . Int. J. Hybrid Intell. Syst., 7 (1): 1 (2010)