| Vista previa | Fecha de publicación | Título | Autor(es) | Acceso |
 | 2025 | An adaptation of Random Forest to estimate convex non-parametric production technologies: an empirical illustration of efficiency measurement in education | España Roch, Victor Javier; Aparicio, Juan; Barber i Vallés, Josep Xavier |  |
 | 2023 | Decomposing profit change: Konüs, Bennet and Luenberger indicators | Aparicio Baeza, Juan; Zofío, José L. |  |
 | 2021 | Efficiency Analysis with Educational Data: How to Deal with Plausible Values from International Large-Scale Assessments | Aparicio Baeza, Juan; Cordero Ferrera, Jose Manuel; Ortiz Henarejos, Lidia | |
 | 2023 | Enhancing the measurement of firm inefficiency accounting for corporate social responsibility: A dynamic data envelopment analysis fuzzy approach | Aparicio Baeza, Juan; Kapelko, Magdalena; Ortiz Henarejos, Lidia | |
 | 2024 | Estimating production functions through additive models based on regression splines | España Roch, Víctor Javier; Aparicio, Juan; Barber i Vallés, Josep Xavier; Esteve, Miriam | |
 | 2025 | Estimating production technologies using multi-output adaptive constrained enveloping splines | España Roch, Víctor Javier; Aparicio, Juan; Barber i Vallés, Josep Xavier | |
 | 8-oct-2019 | Evaluating the emergence of elite professional golfers in Europe with data envelopment analysis | ALCARAZ, JAVIER; Pastor Ciurana, Jesús Tadeo; Pastor Maciá, Diego | |
 | 2023 | Gradient tree boosting and the estimation of production frontiers | Guillén García, María Dolores; Aparicio Baeza, Juan; Esteve, Miriam | |
 | 2020 | Introducing cross-productivity: A new approach for ranking productive units over time in Data Envelopment Analysis | Aparicio Baeza, Juan; Ortiz Henarejos, Lidia; Pastor Ciurana, Jesús Tadeo; Zabala Iturriagagoitia, Jon Mikel | |
 | 2019 | Luenberger-type indicators based on the weighted additive distance function | Aparicio Baeza, Juan; Borrás Rocher, Fernando; Ortiz Henarejos, Lidia; Pastor Ciurana, Jesús Tadeo; Vidal Giménez, Fernando | |
 | 2023 | Measuring dynamic inefficiency through machine learning techniques | Aparicio Baeza, Juan; Esteve, Miriam; Kapelko, Magdalena | |
 | 2019 | Measuring efficiency in education: The influence of imprecision and variability in data on DEA estimates | Aparicio Baeza, Juan; Cordero Ferrera, Jose Manuel; Ortiz Henarejos, Lidia | |
 | 2023 | Ranking the Importance of Variables in a Nonparametric Frontier
Analysis Using Unsupervised Machine Learning Techniques | Moragues, Raul; Aparicio, Juan; Esteve, Miriam | |
 | 2024 | Support Vector Frontiers with kernel splines | Guerrero Martínez, Nadia María; Moragues, Raul; Aparicio Baeza, Juan; Valero Carreras, Daniel | |
 | 2022 | The generalized range adjusted measure in data envelopment analysis: Properties, computational aspects and duality | Aparicio Baeza, Juan; Monge, Juan Francisco | |
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