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The estimation of productive efficiency through machine learning techniques : efficiency analysis trees

Aparicio, Juan; Esteve, Miriam; Rodriguez-Sala, Jesus J.; … - In: Data-enabled analytics : DEA for big data, (pp. 51-92). 2021

Persistent link: https://www.econbiz.de/10012880171

Random Forests and the measurement of super-efficiency in the context of Free Disposal Hull

Esteve, Miriam; Aparicio, Juan; Rodriguez-Sala, Jesus J.; … - In: European journal of operational research : EJOR 304 (2023) 2, pp. 729-744

Persistent link: https://www.econbiz.de/10013534560

Improving the predictive accuracy of production frontier models for efficiency measurement using machine learning : the LSB-MAFS method

Guillen, María D.; Aparicio, Juan; Zofío, José L.; … - In: Computers & operations research : an international journal 171 (2024), pp. 1-19

Persistent link: https://www.econbiz.de/10015066453

Estimating production functions through additive models based on regression splines

España, Victor J.; Aparicio, Juan; Barber, Xavier; … - In: European journal of operational research : EJOR 312 (2024) 2, pp. 684-699

Persistent link: https://www.econbiz.de/10014456317

An adaptation of Random Forest to estimate convex non-parametric production technologies : an empirical illustration of efficiency measurement in education

España, Victor J.; Aparicio, Juan; Barber, Xavier - In: International transactions in operational research : a … 32 (2025) 5, pp. 2523-2546

Persistent link: https://www.econbiz.de/10015375682

An unsupervised learning-based generalization of Data Envelopment Analysis

Moragues, Raul; Aparicio, Juan; Esteve, Miriam - In: Operations research perspectives 11 (2023), pp. 1-14

In this paper, we introduce an unsupervised machine learning method for production frontier estimation. This new approach satisfies fundamental properties of microeconomics, such as convexity and free disposability (shape constraints). The new method generalizes Data Envelopment Analysis (DEA)...

Persistent link: https://www.econbiz.de/10014448520

Benchmarking performance through efficiency analysis trees : improvement strategies for colombian higher education institutions

Zofío, José L.; Aparicio, Juan; Barbero, Javier; … - In: Socio-economic planning sciences : the international … 92 (2024), pp. 1-15

Persistent link: https://www.econbiz.de/10014529164

Evaluating different methods for ranking inputs in the context of the performance assessment of decision making units : A machine learning approach

Valero-Carreras, Daniel; Moragues, Raul; Aparicio, Juan; … - In: Computers & operations research : an international journal 163 (2024), pp. 1-12

Persistent link: https://www.econbiz.de/10014560641