On support vector machines under a multiple-cost scenario. - Sandra Benítez-Peña; Rafael Blanquero; Emilio Carrizosa; Pepa Ramírez-Cobo (Adv. Data Anal. Classif., 2019)

Cost-sensitive Feature Selection for Support Vector Machines. - Sandra Benítez-Peña; Rafael Blanquero; Emilio Carrizosa; Pepa Ramírez-Cobo (Comput. Oper. Res., 2019)

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)

Cost-sensitive probabilistic predictions for support vector machines. - Sandra Benítez-Peña; Rafael Blanquero; Emilio Carrizosa; Pepa Ramírez-Cobo (Eur. J. Oper. Res., 2024)

The more the merrier: logical and multistage processors in credit scoring. - Arturo Pérez-Peralta; Sandra Benítez-Peña; Rosa E. Lillo (CoRR, 2025)

FairLangProc: A Python package for fairness in NLP. - Arturo Pérez-Peralta; Sandra Benítez-Peña; Rosa E. Lillo (CoRR, 2025)