A Biobjective Model to Select Features with Good Classification Quality and Low Cost. - Emilio Carrizosa; Belen Martin-Barragan; Dolores Romero Morales (ICDM, 2004)

Two-group classification via a biobjective margin maximization model. - Emilio Carrizosa; Belen Martin-Barragan (Eur. J. Oper. Res., 2006)

On the Selection of the Globally Optimal Prototype Subset for Nearest-Neighbor Classification. - Emilio Carrizosa; Belen Martin-Barragan; Frank Plastria; Dolores Romero Morales (INFORMS J. Comput., 2007)

Multi-group support vector machines with measurement costs: A biobjective approach. - Emilio Carrizosa; Belen Martin-Barragan; Dolores Romero Morales (Discret. Appl. Math., 2008)

Binarized Support Vector Machines. - Emilio Carrizosa; Belen Martin-Barragan; Dolores Romero Morales (INFORMS J. Comput., 2010)

Detecting relevant variables and interactions in supervised classification. - Emilio Carrizosa; Belen Martin-Barragan; Dolores Romero Morales (Eur. J. Oper. Res., 2011)

Maximizing upgrading and downgrading margins for ordinal regression. - Emilio Carrizosa; Belen Martin-Barragan (Math. Methods Oper. Res., 2011)

A nested heuristic for parameter tuning in Support Vector Machines. - Emilio Carrizosa; Belen Martin-Barragan; Dolores Romero Morales (Comput. Oper. Res., 2014)

Interpretable support vector machines for functional data. - Belen Martin-Barragan; Rosa E. Lillo; Juan Romo (Eur. J. Oper. Res., 2014)

A simple heuristic for perishable item inventory control under non-stationary stochastic demand. - Alejandro Gutierrez Alcoba; Roberto Rossi 002; Belen Martin-Barragan; Eligius M. T. Hendrix (Int. J. Prod. Res., 2017)

Computing non-stationary (s, S) policies using mixed integer linear programming. - Mengyuan Xiang; Roberto Rossi 002; Belen Martin-Barragan; S. Armagan Tarim (Eur. J. Oper. Res., 2018)

Functional-bandwidth kernel for Support Vector Machine with Functional Data: An alternating optimization algorithm. - Rafael Blanquero; Emilio Carrizosa; Asunción Jiménez-Cordero; Belén Martín-Barragán (Eur. J. Oper. Res., 2019)

The Dynamic Bowser Routing Problem. - Roberto Rossi 002; Maurizio Tomasella; Belen Martin-Barragan; Tim Embley; Christopher Walsh; Matthew Langston (Eur. J. Oper. Res., 2019)

Variable selection in classification for multivariate functional data. - Rafael Blanquero; Emilio Carrizosa; Asunción Jiménez-Cordero; Belén Martín-Barragán (Inf. Sci., 2019)

Selection of time instants and intervals with Support Vector Regression for multivariate functional data. - Rafael Blanquero; Emilio Carrizosa; Asunción Jiménez-Cordero; Belén Martín-Barragán (Comput. Oper. Res., 2020)

A projection multi-objective SVM method for multi-class classification. - Ling Liu; Belén Martín-Barragán; Francisco J. Prieto (Comput. Ind. Eng., 2021)

On sparse ensemble methods: An application to short-term predictions of the evolution of COVID-19. - Sandra Benítez-Peña; Emilio Carrizosa; Vanesa Guerrero; María-Dolores Jiménez-Gamero; Belén Martín-Barragán; Cristina Molero-Río; Pepa Ramírez-Cobo; Dolores Romero Morales; M. Remedios Sillero-Denamiel (Eur. J. Oper. Res., 2021)

The stochastic inventory routing problem on electric roads. - Alejandro Gutierrez Alcoba; Roberto Rossi 002; Belen Martin-Barragan; Tim Embley (Eur. J. Oper. Res., 2023)

A mathematical programming-based solution method for the nonstationary inventory problem under correlated demand. - Mengyuan Xiang; Roberto Rossi 002; Belen Martin-Barragan; S. Armagan Tarim (Eur. J. Oper. Res., 2023)

Interpretable machine learning for imbalanced credit scoring datasets. - Yujia Chen; Raffaella Calabrese; Belen Martin-Barragan (Eur. J. Oper. Res., 2024)