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Juan Monroy de Jesús
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A selective dynamic sampling back-propagation approach for handling the two-class imbalance problem
R Alejo, J Monroy-de-Jesús, JH Pacheco-Sánchez, E López-González, ...
Applied Sciences 6 (7), 200, 2016
182016
An improved dynamic sampling back-propagation algorithm based on mean square error to face the multi-class imbalance problem
R Alejo, J Monroy-de-Jesús, JC Ambriz-Polo, JH Pacheco-Sánchez
Neural Computing and Applications 28, 2843-2857, 2017
122017
Clasificador de plantas medicinales por medio de Deep Learning.
J Monroy-de-Jesús, A Reyes-Nava, F Olmos
Res. Comput. Sci. 148 (7), 65-78, 2019
42019
Algoritmo de aprendizaje eficiente para tratar el problema del desbalance de múltiples clases.
J Monroy-de-Jesús, A Guadalupe-Ramírez, JC Ambriz-Polo, ...
Res. Comput. Sci. 147 (5), 143-157, 2018
22018
Analysing the safe, average and border samples on two-class imbalance problems in the Back-propagation domain
R Alejo, J Monroy-de-Jesús, JH Pacheco-Sánchez, RM Valdovinos, ...
Progress in Pattern Recognition, Image Analysis, Computer Vision, and …, 2015
12015
Impacto del desbalance de clases (clases poco representadas) en redes neuronales artificiales y otros clasificadores
J Monroy-de-Jesús, R Alejo, M Garduño-Aparicio
Heurísticas para mejorar el rendimiento del algoritmo Backpropagation
J Monroy-de-Jesús, R Alejo, E Lòpez-Gonzàlez, J Antonio-Velázquez, ...
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