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A two-stage evolutionary algorithm based on sensitivity and accuracy for multi-class problems., , , and . Inf. Sci., (2012)Evolutionary Learning Using a Sensitivity-Accuracy Approach for Classification., , , , , and . HAIS (2), volume 6077 of Lecture Notes in Computer Science, page 288-295. Springer, (2010)Learning from Label Proportions via an Iterative Weighting Scheme and Discriminant Analysis., , , and . CAEPIA, volume 9868 of Lecture Notes in Computer Science, page 79-88. Springer, (2016)Evolutionary q-Gaussian Radial Basis Functions for Binary-Classification., , , , and . HAIS (2), volume 6077 of Lecture Notes in Computer Science, page 280-287. Springer, (2010)A multi-class classification model with parametrized target outputs for randomized-based feedforward neural networks., , , and . Appl. Soft Comput., (January 2023)Combined projection and kernel basis functions for classification in evolutionary neural networks., , , and . Neurocomputing, 72 (13-15): 2731-2742 (2009)Global Sensitivity Estimates for Neural Network Classifiers., , , and . IEEE Trans. Neural Networks Learn. Syst., 28 (11): 2592-2604 (2017)A Hybrid Evolutionary Approach to Obtain Better Quality Classifiers., , , and . IWANN (2), volume 6692 of Lecture Notes in Computer Science, page 161-168. Springer, (2011)An experimental study on diversification in portfolio optimization., , , and . Expert Syst. Appl., (2021)Negative Correlation Hidden Layer for the Extreme Learning Machine., , , and . Appl. Soft Comput., (2021)