Sandra Benítez-Peña

11 papers Journal 11
YearRankTypeTitle / Venue / Authors
2026 J jnl
On the use of graph models to achieve individual and group fairness.
CoRR
Arturo Pérez-Peralta, Sandra Benítez-Peña, Rosa E. Lillo
2026 J jnl
Trade-offs Between Individual and Group Fairness in Machine Learning: A Comprehensive Review.
CoRR
Sandra Benítez-Peña, Blas Kolic, Victoria Menendez, Belén Pulido
2025 J jnl
FairLangProc: A Python package for fairness in NLP.
CoRR
Arturo Pérez-Peralta, Sandra Benítez-Peña, Rosa E. Lillo
2025 J jnl
The more the merrier: logical and multistage processors in credit scoring.
CoRR
Arturo Pérez-Peralta, Sandra Benítez-Peña, Rosa E. Lillo
2024 J jnl
Cost-sensitive Feature Selection for Support Vector Machines.
CoRR
Sandra Benítez-Peña, Rafael Blanquero, Emilio Carrizosa, Pepa Ramírez-Cobo
2024 J jnl
Cost-sensitive probabilistic predictions for support vector machines.
Eur. J. Oper. Res.
Sandra Benítez-Peña, Rafael Blanquero, Emilio Carrizosa, Pepa Ramírez-Cobo
2023 J jnl
Cost-sensitive probabilistic predictions for support vector machines.
CoRR
Sandra Benítez-Peña, Rafael Blanquero, Emilio Carrizosa, Pepa Ramírez-Cobo
2023 J jnl
On support vector machines under a multiple-cost scenario.
CoRR
Sandra Benítez-Peña, Rafael Blanquero, Emilio Carrizosa, Pepa Ramírez-Cobo
2021 J jnl
On sparse ensemble methods: An application to short-term predictions of the evolution of COVID-19.
Eur. J. Oper. Res.
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
2019 J jnl
Cost-sensitive Feature Selection for Support Vector Machines.
Comput. Oper. Res.
Sandra Benítez-Peña, Rafael Blanquero, Emilio Carrizosa, Pepa Ramírez-Cobo
2019 J jnl
On support vector machines under a multiple-cost scenario.
Adv. Data Anal. Classif.
Sandra Benítez-Peña, Rafael Blanquero, Emilio Carrizosa, Pepa Ramírez-Cobo