Learning and Approximation of Chaotic Time Series Using Wavelet-Networks. - Vicente Alarcón Aquino; Edgar S. García-Treviño; Roberto Rosas-Romero; José Federico Ramírez-Cruz (ENC, 2005)

Chaotic Time Series Approximation Using Iterative Wavelet-Networks. - Edgar S. García-Treviño; Vicente Alarcón Aquino (CONIELECOMP, 2006)

Wavelet-Networks for Prediction of Ozone Levels in Puebla City Mexico. - Edgar S. García-Treviño; Vicente Alarcón Aquino; M. A. Herrera-Garcia (CONIELECOMP, 2007)

Online wavelet-based density estimation for non-stationary streaming data. - Edgar S. García-Treviño; Javier A. Barria (Comput. Stat. Data Anal., 2012)

Distributed Classification of Traffic Anomalies Using Microscopic Traffic Variables. - Suttipong Thajchayapong; Edgar S. García-Treviño; Javier A. Barria (IEEE Trans. Intell. Transp. Syst., 2013)

Structural Generative Descriptions for Time Series Classification. - Edgar S. García-Treviño; Javier A. Barria (IEEE Trans. Cybern., 2014)

Intelligent identification of induction motor conditions at several mechanical loads. - Pilar Gómez-Gil; José de Jesus Rangel-Magdaleno; Juan Manuel Ramírez-Cortés; Edgar S. García-Treviño; Israel Cruz-Vega (I2MTC, 2016)

Data Stream Evolution Diagnosis Using Recursive Wavelet Density Estimators. - Edgar S. García-Treviño; Muhammad Zaid Hameed; Javier A. Barria (ACM Trans. Knowl. Discov. Data, 2018)

The radial wavelet frame density estimator. - Edgar S. García-Treviño; Vicente Alarcón Aquino; Javier A. Barria (Comput. Stat. Data Anal., 2019)

A New Wavelet-Based Neural Network for Classification of Epileptic-Related States using EEG. - Ever Juárez-Guerra; Vicente Alarcón Aquino; Pilar Gómez-Gil; Juan Manuel Ramírez-Cortés; Edgar S. García-Treviño (J. Signal Process. Syst., 2020)

Wavelet Probabilistic Neural Networks. - Edgar S. García-Treviño; Pu Yang; Javier A. Barria (IEEE Trans. Neural Networks Learn. Syst., 2024)