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Clasificadores basados en reglas y selección de atributos para el diagnóstico clínico de subtipos del Síndrome de Guillain-Barré., , , , and . Res. Comput. Sci., 149 (8): 41-53 (2020)Predicting the Need of Mechanical Ventilation in Guillain-Barré Patients Using Machine Learning Algorithms with Relevant Features., , and . MICAI (2), volume 10062 of Lecture Notes in Computer Science, page 237-247. Springer, (2016)Balanceo de datos del Síndrome de Guillain-Barré utilizando SMOTE para la clasificación de subtipos., , , and . Res. Comput. Sci., 148 (7): 113-125 (2019)Bacterial Foraging Optimization Algorithm for Menu Planning., , , , and . IEEE Access, (2018)The Latin American laws of correct nutrition: Review, unified interpretation, model and tools., and . Comput. Biol. Medicine, (2016)Rendimiento de los métodos de sobremuestreo para los modelos predictivos del Síndrome de Guillain-Barré., , , and . Res. Comput. Sci., 149 (8): 55-69 (2020)Comparative Study of Optimizers in the Training of a Convolutional Neural Network in a Binary Recognition Model., , , and . Res. Comput. Sci., 150 (4): 73-82 (2021)Towards a Deterministic Algorithm for the International Timetabling Competition., , and . RCRA@CPAIOR, volume 616 of CEUR Workshop Proceedings, CEUR-WS.org, (2010)On combining numerical optimization techniques with a belief merging approach., , and . LANMR, volume 2264 of CEUR Workshop Proceedings, page 51-62. CEUR-WS.org, (2018)