Gradient tree boosting and the estimation of production frontiers. - Maria D. Guillen; Juan Aparicio; Miriam Esteve (Expert Syst. Appl., 2023)

boostingDEA: A boosting approach to Data Envelopment Analysis in R. - Maria D. Guillen; Juan Aparicio; Victor J. España (SoftwareX, 2023)

Improving the predictive accuracy of production frontier models for efficiency measurement using machine learning: The LSB-MAFS method. - Maria D. Guillen; Juan Aparicio; José Luis Zofío; Victor J. España (Comput. Oper. Res., 2024)

Measuring environmental inefficiency through machine learning: An approach based on efficiency analysis trees and by-production technology. - Maria D. Guillen; Juan Aparicio; Magdalena Kapelko; Miriam Esteve (Eur. J. Oper. Res., 2025)

Estimating non-overfitted convex production technologies: A stochastic machine learning approach. - Maria D. Guillen; Vincent Charles; Juan Aparicio (Eur. J. Oper. Res., 2025)