Particle Swarm Optimization with Gravitational Interactions for Multimodal and Unimodal Problems. - Juan J. Flores; Rodrigo López 001; Julio Barrera (MICAI (2), 2010)

Gravitational Interactions Optimization. - Juan J. Flores; Rodrigo López 001; Julio Barrera (LION, 2011)

Flow meter data validation and reconstruction using neural networks: Application to the Barcelona water network. - Héctor Rodríguez 001; Vicenç Puig; Juan J. Flores; Rodrigo López 001 (ECC, 2016)

Automatic Modelling of Land Use Suitability Using Deep Feedforward Networks in Leon - Silao, Guanajuato Region. - Rodrigo López-Farías; Juan Antonio Pichardo-Corpus; Raúl A. Aguilar-Vilchis (iGISc, 2019)

Evolving nearest neighbor time series forecasters. - Juan J. Flores; José R. Cedeño González; Rodrigo López-Farías; Félix Calderón (Soft Comput., 2019)

Pronóstico de series de tiempo de imágenes de sequías utilizando autocodificadores y redes neuronales. - Manuel Medrano; Juan J. Flores; Héctor Rodríguez 001; Rodrigo López 001; Carlos Lara 001 (Res. Comput. Sci., 2021)

Feature Analysis for Urban-land Change of Morelia City Via the TOC Curve. - Rodrigo López-Farías; S. Ivvan Valdez; Alberto Garcia-Robledo; Thomas Bilintoh; Fernando Nateras Bautista (ENC, 2023)

Valley Classification using Convolutional Neural Network and a Geomorphons Map. - Jorge Paredes-Tavares; Rodrigo López-Farías; S. Ivvan Valdez; Héctor Antonio Solano-Lamphar (ENC, 2023)

Estimación de mapas de sequías de EU mediante redes de Convolución-LSTM. - Manuel Medrano; Héctor Rodríguez 001; Rodrigo López-Farías; Juan J. Flores; Carlos Lara 001; Vicenç Puig (Res. Comput. Sci., 2023)

An Approach for Spatial Optimization on Positioning Surveillance Cameras. - Rodrigo Tapia-McClung; Rodrigo López-Farías (ICCSA (Workshops 5), 2024)

A literature review on satellite image time series forecasting: Methods and applications for remote sensing. - Carlos Lara-Alvarez; Juan J. Flores; Héctor Rodríguez Rangel; Rodrigo López-Farías (WIREs Data. Mining. Knowl. Discov., 2024)

Trajectory Analysis Applied to Crime Incidence. - Rodrigo Tapia-McClung; Rodrigo López-Farías; Camilo Caudillo-Cos (ICCSA (Workshops 5), 2025)

A deep learning approach for image time series forecasting: Study case, United States drought monitor. - Manuel Medrano-Diaz; Héctor Rodríguez Rangel; Vicenç Puig Cayuela; Juan J. Flores; Rodrigo López-Farías; Carlos Lara-Alvarez (Eng. Appl. Artif. Intell., 2025)