Cost-sensitive probabilistic predictions for support vector machines-Reference-Cited by-同舟云学术

Cost-sensitive probabilistic predictions for support vector machines

Published:2024-04 Issue:1 Volume:314 Page:268-279
ISSN:0377-2217
Container-title:European Journal of Operational Research
language:en
Short-container-title:European Journal of Operational Research

Author:

Benítez-Peña Sandra^ORCID,Blanquero Rafael^ORCID,Carrizosa Emilio^ORCID,Ramírez-Cobo Pepa

Publisher

Elsevier BV

Subject

Information Systems and Management,Management Science and Operations Research,Modeling and Simulation,General Computer Science,Industrial and Manufacturing Engineering

Reference57 articles.

1. Linear cost-sensitive max-margin embedded feature selection for SVM;Aram;Expert Systems with Applications,2022

2. Cost-sensitive feature selection for support vector machines;Benítez-Peña;Computers & Operations Research,2019

3. On support vector machines under a multiple-cost scenario;Benítez-Peña;Advances in Data Analysis and Classification,2019

4. On sparse ensemble methods: An application to short-term predictions of the evolution of COVID-19;Benítez-Peña;European Journal of Operational Research,2021

5. Plsgenomics: PLS analyses for genomics;Boulesteix;R Package Version,2011

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