Gibran Etcheverry

Using Data Assimilation for Quantitative Electroencephalography Analysis

Lizbeth Peralta-Malváez, Rocio Salazar-Varas, Gibran Etcheverry, 2020, Brain sciences.

Probabilistic view planner for 3D modelling indoor environments

Luis Enrique Sucar, Efraín Lopez-Damian, Gibran Etcheverry, 2009, 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Third Degree Volterra Kernel for Newborn Cry Estimation

Efraín Lopez-Damian, Gibran Etcheverry, Carlos A. Reyes García, 2010, MCPR.

Forecasting of stock return prices with sparse representation of financial time series over redundant dictionaries

Roberto Rosas-Romero, Gibran Etcheverry, Alejandro Díaz-Torres, 2016, Expert Syst. Appl..

Quadratic System Identification By Hereditary Approach

Gibran Etcheverry, André Monin, Wael Suleiman, 2006, 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings.

Driver intent data analysis & classification

Gibran Etcheverry, Luis Oswaldo Valencia-Rosado, David Rojas-Velazquez, 2018, 2018 International Conference on Electronics, Communications and Computers (CONIELECOMP).

Function Based Brain Modeling and Simulation of an Ischemic Region in Post-Stroke Patients using the Bidomain

Shingo Shimoda, Gibran Etcheverry, Alejandro Lopez-Rincon, 2019, Journal of Neuroscience Methods.

Intra-patient Arrhythmia Heartbeat Modeling by Gibbs Sampling

Gibran Etcheverry, Ethery Ramírez-Robles, Miguel Angel Jara Maldonado, 2019, MCPR.

Modeling of a Simplified 2D Cardiac Valve by Means of System Identification

Gibran Etcheverry, Rogelio Perez-Santiago, Rene Ledesma-Alonso, 2019, MCPR.

Getting Started with PEAs-Based Flapping-Wing Mechanisms for Micro Aerial Systems

Micky Rakotondrabe, Gibran Etcheverry, J. Durán, 2016 .

Newborn cry nonlinear features extraction and classification

Roberto Rosas-Romero, Lizbeth Peralta-Malváez, Gibran Etcheverry, 2018, J. Intell. Fuzzy Syst..