Energy Consumption of a Building by using Long Short-Term Memory Network: A Forecasting Study. - Julio Barzola-Monteses; Mayken Espinoza-Andaluz; Mónica Mite-León; Manuel Flores-Morán (SCCC, 2020)

Ensemble Learning Models Applied in Energy Time Series of a University Building. - Isaakc Ortiz-Aguirre; Mayken Espinoza-Andaluz; Julio Barzola-Monteses (LA-CCI, 2022)

An Alternative Methodology to Compute the Geometric Tortuosity in 2D Porous Media Using the A-Star Pathfinding Algorithm. - Mayken Espinoza-Andaluz; Javier Pagalo; Joseph Ávila; Julio Barzola-Monteses (Comput., 2022)

Hydropower production prediction using artificial neural networks: an Ecuadorian application case. - Julio Barzola-Monteses; Juan Gómez-Romero; Mayken Espinoza-Andaluz; Waldo Fajardo (Neural Comput. Appl., 2022)

Prognostic Precision for Crohn's Disease Patients through Machine Learning Predictive Models. - Julio Barzola-Monteses; Rosangela Caicedo-Quiroz; Mayken Espinoza-Andaluz; Elena Bajaña-Díaz; Rogelio Loja-Yagual; Franklin Parrales Bravo (SCCC, 2023)

Energy Consumption of a Building Using the XGBoost Algorithm: A Forecasting Study. - Julio Barzola-Monteses; Franklin Parrales-Bravo; Vicente Macas-Espinosa; Gabriel Bórquez-Vargas; Mayken Espinoza-Andaluz (SCCC, 2024)

Convolutional Neural Networks Applied to the Diagnosis of Cardiovascular Disease. - Julio Barzola-Monteses; Rosangela Caicedo-Quiroz; Franklin Parrales-Bravo; Cristhian Medina-Suarez; Wendy Yanez-Pazmino (SCCC, 2024)

From 2D to 3D: Computational Methods for Analyzing Porous Electrode Structures in Fuel Cells. - Mayken Espinoza-Andaluz; Joseph Ávila; Julio Barzola-Monteses; Martin Andersson (SCCC, 2024)

CSM: A Chatbot Solution to Manage Student Questions About Payments and Enrollment in University. - Franklin Parrales Bravo; Rosangela Caicedo-Quiroz; Julio Barzola-Monteses; José Guillén-Mirabá; Otto Guzmán-Bedor (IEEE Access, 2024)

FRUIT: Fuzzy Representation of Unbounded and Imprecise Terms in Non-Functional Requirements. - Franklin Parrales-Bravo; Rosangela Caicedo-Quiroz; Julio Barzola-Monteses; Leonel Vasquez-Cevallos (IEEE Access, 2024)

From Descriptive to Prescriptive Analytics on Time Series of the Number of Preeclampsia Inpatient Beds. - Franklin Parrales-Bravo; Víctor Gómez-Rodríguez; Julio Barzola-Monteses; Rosangela Caicedo-Quiroz; Elena Tolozano-Benites; Leonel Vasquez-Cevallos (IEEE Access, 2024)

ACME: A Classification Model for Explaining the Risk of Preeclampsia Based on Bayesian Network Classifiers and a Non-Redundant Feature Selection Approach. - Franklin Parrales-Bravo; Rosangela Caicedo-Quiroz; Elianne Rodríguez-Larraburu; Julio Barzola-Monteses (Informatics, 2024)

Method for the Identification and Classification of Zones with Vehicular Congestion. - Gary Reyes; Roberto Tolozano-Benites; Laura Lanzarini; César Estrebou; Aurelio Fernández Bariviera; Julio Barzola-Monteses (ISPRS Int. J. Geo Inf., 2024)

Enhanced fault detection in polymer electrolyte fuel cells via integral analysis and machine learning. - Ester Melo; Julio Barzola-Monteses; Holguer H. Noriega; Mayken Espinoza-Andaluz (Energy Inform., 2024)

Current Situation of Serious Games to Support Ecuadorian Health. - Franklin Parrales-Bravo; Wilber Ortiz-Aguilar; Lorenzo J. Cevallos-Torres; Julio Barzola-Monteses; Rosangela Caicedo-Quiroz (CBMS, 2025)