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Aparicio, J., Esteve, M., & Jin, Q. (2024). Machine Learning Techniques and Efficiency Evaluation: A Survey of Methodological Contributions. Analytical Decision Making and Data Envelopment Analysis: Advances and Challenges, 201-234.

Aparicio, J. (Center of Operations Research, Miguel Hernández University of Elche) , Esteve, M. (Center of Operations Research, Miguel Hernández University of Elche) , & Jin, Q.
Abstract:

This chapter surveys the literature on two types of related contributions. The first group is made up of models devoted to adapting well-known machine learning techniques for estimating […]

Miriam Esteve, Juan Aparicio, Jesus J. Rodriguez-Sala, & Joe Zhu (2023). Random Forests and the measurement of super-efficiency in the context of Free Disposal Hull. European Journal of Operational Research, 304, 729-744.

Miriam Esteve (Center of Operations Research, Miguel Hernandez University of Elche), Juan Aparicio (Center of Operations Research, Miguel Hernandez University of Elche), Jesús J. Rodríguez-Sala (Center of Operations Research, Miguel Hernandez University of Elche) and Joe Zhu (Foisie Business School, Worcester Polytechnic Institute, United States)
Abstract:
In the technical efficiency evaluation area, it may happen that many […]

Optimización y evaluación de recursos: avances metodológicos, computacionales y aplicaciones

Optimización y evaluación de recursos: avances metodológicos, computacionales y aplicaciones

PROJECT
Principal researchers:

Juan Aparicio Baeza

Javier Alcaraz Soria

Entidad financiadora: Ministerio de Ciencia e Innovación
Inicio: 2020
Duration: 3 years

CIO Members

Antón Sánchez, Laura
Monge Ivars, Juan Francisco
Ortiz Henarejos, Lidia
Rabasa Dolado, Alejandro
Ramón Escolano, Nuria
Rodríguez Sala, Jesús Javier