Efficiency analysis trees: A new methodology for estimating production frontiers through decision trees. - Miriam Esteve; Juan Aparicio; Alejandro Rabasa; Jesús Javier Rodríguez-Sala (Expert Syst. Appl., 2020)

The Effects of Abrupt Changing Data in CART Inference Models. - Miriam Esteve; Nuria Mollá-Campello; Jesús Javier Rodríguez-Sala; Alejandro Rabasa (WorldCIST (2), 2021)

Heuristic and Backtracking Algorithms for Improving the Performance of Efficiency Analysis Trees. - Miriam Esteve; Jesús Javier Rodríguez-Sala; Jose-Juan López-Espín; Juan Aparicio (IEEE Access, 2021)

eat: An R Package for fitting Efficiency Analysis Trees. - Miriam Esteve; Victor España; Juan Aparicio; Xavier Barber (R J., 2022)

Random Forests and the measurement of super-efficiency in the context of Free Disposal Hull. - Miriam Esteve; Juan Aparicio; Jesús Javier Rodríguez-Sala; Joe Zhu (Eur. J. Oper. Res., 2023)

Gradient tree boosting and the estimation of production frontiers. - Maria D. Guillen; Juan Aparicio; Miriam Esteve (Expert Syst. Appl., 2023)

Measuring technical efficiency for multi-input multi-output production processes through OneClass Support Vector Machines: a finite-sample study. - Raul Moragues; Juan Aparicio; Miriam Esteve (Oper. Res., 2023)

Measuring dynamic inefficiency through machine learning techniques. - Juan Aparicio; Miriam Esteve; Magdalena Kapelko (Expert Syst. Appl., 2023)

How to peel a data envelopment analysis frontier: A cross-validation-based approach. - Juan Aparicio; Miriam Esteve (J. Oper. Res. Soc., 2023)

tramoTDA: A trajectory monitoring system using Topological Data Analysis. - Miriam Esteve; Antonio Falcó (SoftwareX, 2024)

Estimating production functions through additive models based on regression splines. - Victor J. España; Juan Aparicio; Xavier Barber; Miriam Esteve (Eur. J. Oper. Res., 2024)

Trajectory Classification Through Topological Data Analysis Perspectives. - Miriam Esteve; Antonio Falcó (IEEE Access, 2025)

Measuring environmental inefficiency through machine learning: An approach based on efficiency analysis trees and by-production technology. - Maria D. Guillen; Juan Aparicio; Magdalena Kapelko; Miriam Esteve (Eur. J. Oper. Res., 2025)

GSSTDA: Implementation in an R Package of the Progression of Disease with Survival Analysis (PAD-S) that Integrates Information on Genes Linked to Survival in the Mapper Filter Function. - Miriam Esteve; Raquel Bosch-Romeu; Antonio Falcó; Jaume Forés-Martos; Joan Climent (R J., 2025)

topoEEG: An Python-framework for analyzing EEG data in neurodegeneratives disease through Topological Deep Learning. - Miriam Esteve; Alejandro Martinez-Gracia; Jesús Javier Rodríguez-Sala; Antonio Falcó (SoftwareX, 2025)