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Guerrero, N. M., Aparicio, J., Moragues, R., & Valero-Carreras, D. (2024). Merging Data Envelopment Analysis and Structural Risk Minimization: Some Examples of Use of Multi-output Machine Learning Techniques on Real-World Data. In Analytical Decision Making and Data Envelopment Analysis: Advances and Challenges (pp. 1-32). Singapore: Springer Nature Singapore.

Guerrero, N. M. (Center of Operations Research, Miguel Hernández University of Elche), Aparicio, J. (Center of Operations Research, Miguel Hernández University of Elche), Moragues, R. (Center of Operations Research, Miguel Hernández University of Elche), & Valero-Carreras, D.(Center of Operations Research, Miguel Hernández University of Elche)
Abstract:

Data Envelopment Analysis (DEA) is nowadays a very famous nonparametric […]

By mquesada, ago

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 […]

By mquesada, ago