A global optimization method for model selection in chemical reactions networks. - Rafael Blanquero; Emilio Carrizosa; Asunción Jiménez-Cordero; José Francisco Rodríguez (Comput. Chem. Eng., 2016)

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)

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)

Automatic feature scaling and selection for support vector machine classification with functional data. - Asunción Jiménez-Cordero; Sebastián Maldonado (Appl. Intell., 2021)

A novel embedded min-max approach for feature selection in nonlinear Support Vector Machine classification. - Asunción Jiménez-Cordero; Juan Miguel Morales 001; Salvador Pineda (Eur. J. Oper. Res., 2021)

Warm-starting constraint generation for mixed-integer optimization: A Machine Learning approach. - Asunción Jiménez-Cordero; Juan Miguel Morales 001; Salvador Pineda (Knowl. Based Syst., 2022)

An enhanced heuristic framework for solving the Rank Pricing Problem. - Asunción Jiménez-Cordero; Salvador Pineda; Juan Miguel Morales 001 (Expert Syst. Appl., 2025)