Predicting Activity Duration in Smart Sensing Environments Using Synthetic Data and Partial Least Squares Regression: The Case of Dementia Patients. - Miguel Ortiz Barrios; Eric Järpe; Matias Garcia-Constantino; Ian Cleland; Chris D. Nugent; Sebastián Arias-Fonseca; Natalia Jaramillo-Rueda (Sensors, 2022)

A Machine Learning Model for Predicting the Risk of Perinatal Mortality in Low-and-Middle-Income Countries: A Case Study. - Sebastián Arias-Fonseca; Miguel Angel Ortiz Barrios; Alexandros Konios; Martha Gutierrez de Piñeres-Jalile; María Montero-Estrada; Carlos Hernández-Lalinde; Eliecer Medina-Pacheco; Fanny Lambraño-Coronado; Ibett Figueroa-Salazar; Jesús Araujo-Torres; Richard Prasca-de la Hoz (HCI (27), 2024)

Integrating discrete-event simulation and artificial intelligence for shortening bed waiting times in hospitalization departments during respiratory disease seasons. - Miguel Angel Ortiz Barrios; Alessio Ishizaka; Maria Barbati; Sebastián Arias-Fonseca; Jehangir Khan; Muhammet Gul; Melih Yücesan; Juan José Alfaro Saiz; Armando Pérez-Aguilar (Comput. Ind. Eng., 2024)