Maria D. Guillen

According to our database, Maria D. Guillen authored at least 8 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

Selection of Variables in Data Envelopment Analysis Using the Li Test.

Raul Moragues, Juan Aparicio, Maria D. Guillen, Miriam Esteve

Int. J. Inf. Technol. Decis. Mak., January, 2026

2025

Performance Evaluation of Decision-Making Units Through Boosting Methods in the Context of Free Disposal Hull: Some Exact and Heuristic Algorithms.

Maria D. Guillen, Juan Aparicio, Miriam Esteve

Int. J. Inf. Technol. Decis. Mak., 2025

Estimating non-overfitted convex production technologies: A stochastic machine learning approach.

Maria D. Guillen, Vincent Charles, Juan Aparicio

Eur. J. Oper. Res., 2025

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

Machine Learning-Enhanced Production Frontier Estimation: An EATBoosting Variant.

Juan Aparicio, Vincent Charles, Maria D. Guillen

Proceedings of the Artificial Intelligence XLII, 2025

2024

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

2023

boostingDEA: A boosting approach to Data Envelopment Analysis in R.

Maria D. Guillen, Juan Aparicio, Victor J. España

SoftwareX, December, 2023

Gradient tree boosting and the estimation of production frontiers.

Maria D. Guillen, Juan Aparicio, Miriam Esteve

Expert Syst. Appl., 2023