Application of a Time-Scale Local Hurst Exponent analysis to time series. - Erik Molino-Minero-Re; Fabián García Nocetti; Héctor Benítez-Pérez (Digit. Signal Process., 2015)

Características morfométricas en dominio discreto para reconocimiento de tumores cerebrales. - Ángel Carrillo-Bermejo; Nidiyare Hevia-Montiel; Erik Molino-Minero-Re (Res. Comput. Sci., 2018)

Virtual Sensors for Optimal Integration of Human Activity Data. - Antonio A. Aguileta; Ramón F. Brena; Oscar Mayora; Erik Molino-Minero-Re; Luis A. Trejo (Sensors, 2019)

Multi-Sensor Fusion for Activity Recognition - A Survey. - Antonio A. Aguileta; Ramón F. Brena; Oscar Mayora; Erik Molino-Minero-Re; Luis A. Trejo (Sensors, 2019)

LSTM Classification under Changes in Sequences Order. - Edgar Ek-Chacón; Erik Molino-Minero-Re (MICAI (1), 2020)

An Algorithm to Detect Variations in Writing Styles of Columnists After Major Political Changes. - Rodolfo Escobar; Luis Juarez; Erik Molino-Minero-Re; Antonio Neme (MICAI (2), 2020)

Choosing the Best Sensor Fusion Method: A Machine-Learning Approach. - Ramón F. Brena; Antonio A. Aguileta; Luis A. Trejo; Erik Molino-Minero-Re; Oscar Mayora (Sensors, 2020)

Improved Accuracy in Predicting the Best Sensor Fusion Architecture for Multiple Domains. - Erik Molino-Minero-Re; Antonio A. Aguileta; Ramón F. Brena; Enrique Garcia-Ceja (Sensors, 2021)

Facial Expression Recognition from Multi-Perspective Visual Inputs and Soft Voting. - Antonio A. Aguileta; Ramón F. Brena; Erik Molino-Minero-Re; Carlos Eric Galván-Tejada (Sensors, 2022)

Agrupamiento automático de datos magnéticos en prospección geofísica para arqueología. - Manuel Ortiz Osio; Erik Molino-Minero-Re (Res. Comput. Sci., 2023)