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Use of Ensemble Based on GA for Imbalance Problem., , , and . ISNN (2), volume 5552 of Lecture Notes in Computer Science, page 547-554. Springer, (2009)Cost-Sensitive Neural Networks and Editing Techniques for Imbalance Problems., , , and . MCPR, volume 6256 of Lecture Notes in Computer Science, page 180-188. Springer, (2010)Empirical Analysis of Assessments Metrics for Multi-class Imbalance Learning on the Back-Propagation Context., , , , and . ICSI (2), volume 8795 of Lecture Notes in Computer Science, page 17-23. Springer, (2014)Artificial Neural Networks for COVID-19 Forecasting in Mexico: An Empirical Study., , , , , and . ICIC (1), volume 13393 of Lecture Notes in Computer Science, page 168-179. Springer, (2022)Performance Analysis of Deep Neural Networks for Classification of Gene-Expression Microarrays., , , , and . MCPR, volume 10880 of Lecture Notes in Computer Science, page 105-115. Springer, (2018)Addressing the Big Data Multi-class Imbalance Problem with Oversampling and Deep Learning Neural Networks., , , , and . IbPRIA (1), volume 11867 of Lecture Notes in Computer Science, page 216-224. Springer, (2019)Deep Neural Network to Detect Gender Violence on Mexican Tweets., , , , , and . IWAIPR, volume 13055 of Lecture Notes in Computer Science, page 24-32. Springer, (2021)The Multi-Class Imbalance Problem: Cost Functions with Modular and Non-Modular Neural Networks., , , and . ISNN (4), volume 56 of Advances in Intelligent and Soft Computing, page 421-431. Springer, (2009)Analysing the Safe, Average and Border Samples on Two-Class Imbalance Problems in the Back-Propagation Domain., , , , , and . CIARP, volume 9423 of Lecture Notes in Computer Science, page 699-707. Springer, (2015)Minería de datos aplicada para la identificación de factores de riesgo en alumnos., , , and . Res. Comput. Sci., (2017)