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When is resampling beneficial for feature selection with imbalanced wide data?, , , and . Expert Syst. Appl., (2022)An Experimental Study on Combining Binarization Techniques and Ensemble Methods of Decision Trees., , , and . MCS, volume 9132 of Lecture Notes in Computer Science, page 181-193. Springer, (2015)Evolutionary prototype selection for multi-output regression., , and . Neurocomputing, (2019)Seshat - a web-based educational resource for teaching the most common algorithms of lexical analysis., , , and . Comput. Appl. Eng. Educ., 26 (6): 2255-2265 (2018)Correction to: Rotation Forest for multi-target regression., , , and . Int. J. Mach. Learn. Cybern., 13 (2): 549-550 (2022)Instance Selection Improves Geometric Mean Accuracy: A Study on Imbalanced Data Classification., , , and . CoRR, (2018)Fusion of instance selection methods in regression tasks., , , and . Inf. Fusion, (2016)Random feature weights for regression trees., , , and . Prog. Artif. Intell., 5 (2): 91-103 (2016)Instance selection for regression by discretization., , , and . Expert Syst. Appl., (2016)Approx-SMOTE: Fast SMOTE for Big Data on Apache Spark., , , , and . Neurocomputing, (2021)