Gustavo Juárez

Solving Scheduling Problems with Genetic Algorithms Using a Priority Encoding Scheme

Héctor Mesa, Ignacio J. Turias, José Luis Subirats, 2017, IWANN.

A combined approach for long-term series prediction: Renyi permutation entropy with BEA predictor filter

Cristian Rodriguez Rivero, J. Pucheta, S. Laboret, 2016, 2016 IEEE Biennial Congress of Argentina (ARGENCON).

Time-series prediction with BEMCA approach: Application to short rainfall series

Julián A. Pucheta, Leonardo Franco, Gustavo Juárez, 2017, 2017 IEEE Latin American Conference on Computational Intelligence (LA-CCI).

FPGA Implementation of Neurocomputational Models: Comparison Between Standard Back-Propagation and C-Mantec Constructive Algorithm

L. Franco, Francisco Ortega-Zamorano, J. M. Jerez, 2017, Neural Processing Letters.

Time Series Forecasting using Recurrent Neural Networks modified by Bayesian Inference in the Learning Process

Efren Gorrostieta, Julian Pucheta, Leonardo Franco, 2019, 2019 IEEE Colombian Conference on Applications in Computational Intelligence (ColCACI).

Bayesian enhanced ensemble approach (BEEA) for time series forecasting

Daniel Patiño, Raoul Velazco, Paula Otaño, 2018, 2018 IEEE Biennial Congress of Argentina (ARGENCON).