selected publications
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academic article
- eat: An R Package for fitting Efficiency Analysis Trees. R JOURNAL. 248-280. 2022
- Heuristic and Backtracking Algorithms for Improving the Performance of Efficiency Analysis Trees. IEEE ACCESS. 17421-17428. 2021
- Efficiency analysis trees: A new methodology for estimating production frontiers through decision tr. EXPERT SYSTEMS WITH APPLICATIONS. 113783-113800. 2020
- CLASSIFICATION OF TWEETS WITH A MIXED METHOD BASED ON PRAGMATIC CONTENT AND META-INFORMATION. INTERNATIONAL JOURNAL OF DESIGN & NATURE AND ECODYNAMICS. 60-70. 2018
- Hate is in the air! But where? Introducing an algorithm to detect hate speech in digital microenvironments. CRIME SCIENCE. 1-12. 2018
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chapter
- The Estimation of Productive Efficiency Through Machine Learning Techniques: Efficiency Analysis Trees. Data-Enabled Analytics: DEA for Big Data. 51-92. 2021
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congress communication
- A new methodology based on unsupervised machine learning for the estimation of frontiers of best practices 2022
- An Additive Adaptation of Multivariate Adaptive Regression Splines for the Estimation of Production Functions in the Context of Data Envelopment Analysis 2022
- An unsupervised An Unsupervised Learning- Based Approach to Estimate Technical Efficiency Using One-Class Support Vector Machines 2022
- EAT: un paquete de R para la estimación de funciones de producción a través de técnicas de aprendizaje automático 2022
- Efficiency Analysis Trees and the Estimation of Technical Efficiency: An Example of Use 2022
- Gradient Tree Boosting para la estimación de fronteras de producción 2022
- How to measure technical efficiency in multi-output multi-input production processes by adapting Gradient Tree Boosting 2022
- Random Forest para estimar fronteras de producción y eficiencia técnica 2022
- Random Forest para estimar fronteras de producción y eficiencia técnica 2022
- UNA GENERALIZACIÓN DEL ANÁLISIS ENVOLVENTE DE DATOS BASADA EN APRENDIZAJE NO SUPERVISADO 2022
- Un modelo para el Análisis Envolvente de Datos como problema de aprendizaje no supervisado 2022
- Una adaptación de MARS para la estimación de funciones de producción en el contexto del Análisis Envolvente de Datos 2022
- Una adaptación del Gradient Tree Boosting como método de estimación no paramétrica de eficiencia técnica 2022
- Una extensión de Multivariate Adaptive Regression Splines para la estimación de funciones de producción 2022
- Una generalización del Análisis Envolvente de Datos basada en aprendizaje automático no supervisado 2022
- Árboles de análisis de eficiencia: una nueva metodología para estimar fronteras de producción basada en árboles de decisión 2022
- An R package for the estimation of production frontiers through machine learning techniques 2021
- An R package for the implementation of Efficiency Analysis Tree and the estimation of technical efficiency 2021
- Efficiency analysis trees: A new methodology for estimating production frontiers through decision trees 2021
- Estimation of Production Frontiers Through Random Forest: The Treatment of Lack of Robustness and Curse of Dimensionality Under Free Disposal Hull 2021
- Estimation of production frontiers through Random Forest: the treatment of lack of robustness and curse of dimensionality under Free Disposal Hull 2021
- Estimation of production frontiers through Random Forest: the treatment of lack of robustness and curse of dimensionality under Free Disposal Hull 2021
- Gradient Tree Boosting and the estimation of production frontiers 2021
- How to estimate efficient frontiers through Gradient Tree Boosting 2021
- Multivariate Adaptive Frontier Splines 2021
- RANDOM FOREST Y LA MEDICIÓN DE LA EFICIENCIA TÉCNICA FUERA DE LA MUESTRA 2021
- The Estimation of Productive Efficiency Through Machine Learning Techniques: EfficiencyAnalysis Trees 2021
- Unsupervised Data Envelopment Analysis 2021
- Efficiency Analysis Trees 2020
- Regression Trees and the Measurement of Out-of-Sample Technical Efficiency 2020
- Estimación no paramétrica de fronteras: FDH vs árboles de regresión 2019
- La biblioteca de Babel o la privada de Marck Zuckerberg. 2018
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thesis