Energy-Time Profiling for Machine Learning Methods to EEG Classification. - Juan Carlos Gómez-López; Juan José Escobar; Jesús González 001; Francisco Gil Montoya; Julio Ortega 001; Mike Burmester; Miguel Damas (BIOMESIP, 2021)

Boosting the convergence of a GA-based wrapper for feature selection problems on high-dimensional data. - Juan Carlos Gómez-López; Juan José Escobar; Antonio Francisco Díaz; Miguel Damas; Francisco Gil Montoya; Jesús González 001 (GECCO Companion, 2022)

Towards the Identification of Multiclass Lung Cancer-Related Genes: An Evolutionary and Intelligent Procedure. - Juan Carlos Gómez-López; Daniel Castillo-Secilla; Jesús González 001; Luis Javier Herrera; Ignacio Rojas (IWANN (1), 2023)

Boosting NSGA-II-Based Wrappers Speedup for High-Dimensional Data: Application to EEG Classification. - Juan Carlos Gómez-López; Daniel Castillo-Secilla; Dragi Kimovski; Jesús González 001 (IWANN (1), 2023)

Improving the Performance of EA-based Multi-population Models for Feature Selection Problems by Reducing the Individual Size in the Initial Population. - Juan Carlos Gómez-López; Daniel Castillo-Secilla; Jesús González 001 (GECCO Companion, 2024)

Tuning multi-objective multi-population evolutionary models for high-dimensional problems: The case of the migration process. - Juan Carlos Gómez-López; Manuel Rodríguez-Álvarez; Daniel Castillo-Secilla; Jesús González 001 (Neurocomputing, 2025)