H. M. R. Ugalde

2/2 Training time optimization for balanced accuracy/complexity neural network models

J. Carmona, V. M. Alvarado, H. M. R. Ugalde, 2012, CCCA12.

Modeling the variability of insulin sensitivity for people with Type 1 Diabetes based on clinical data from an artificial pancreas study *

R. Blanc, H. M. Romero Ugalde, P.-Y. Benhamou, 2019, 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Computational cost improvement of neural network models in black box nonlinear system identification

Hector M. Romero Ugalde, V. M. Alvarado, Juan Mantilla, 2015, Neurocomputing.

Huberian approach for reduced order ARMA modeling of neurodegenerative disorder signal

Christophe Corbier, Mohamed El Badaoui, Hector M. Romero Ugalde, 2015, Signal Process..

Neural network design and model reduction approach for black box nonlinear system identification with reduced number of parameters

Hector M. Romero Ugalde, V. M. Alvarado, Victor M. Alvarado, 2013, Neurocomputing.

Maximum Power point Tracking Using P&O Control Optimized by a Neural Network Approach: A Good Compromise between Accuracy and Complexity

H. M. R. Ugalde, J. Carmona, J. Gomand, 2013 .

Robust Estimation of Balanced Simplicity-Accuracy Neural Networks-Based Models

Hector M. Romero Ugalde, Christophe Corbier, H. M. R. Ugalde, 2016 .