TY - JOUR AU - Ramos Pérez, Ismael AU - Arnaiz González, Álvar AU - Rodríguez Diez, Juan José AU - García Osorio, César PY - 2022 SN - 0957-4174 UR - http://hdl.handle.net/10259/6192 AB - This paper studies the effects that combinations of balancing and feature selection techniques have on wide data (many more attributes than instances) when different classifiers are used. For this, an extensive study is done using 14 datasets, 3... LA - eng PB - Elsevier KW - Feature selection KW - Wide data KW - High dimensional data KW - Very low sample size KW - Unbalanced KW - Machine learning KW - Informática KW - Computer science TI - When is resampling beneficial for feature selection with imbalanced wide data? DO - 10.1016/j.eswa.2021.116015 ER -