TY - JOUR AU - Diez Pastor, José Francisco AU - Gil del Val, Alain AU - Veiga, Fernando AU - Bustillo Iglesias, Andrés PY - 2021 SN - 0263-2241 UR - http://hdl.handle.net/10259/5474 AB - Industrial threading processes that use cutting taps are in high demand. However, industrial conditions differ markedly from laboratory conditions. In this study, a machine-learning solution is presented for the correct classification of threads,... LA - eng PB - Elsevier KW - Bagging KW - Imbalanced datasets KW - Threading KW - Cutting taps KW - Quality assessment KW - Informática KW - Computer science TI - High-accuracy classification of thread quality in tapping processes with ensembles of classifiers for imbalanced learning DO - 10.1016/j.measurement.2020.108328 T2 - Measurement VL - 168 M2 - 108328 ER -