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ORCIDM. Remedios Sillero-Denamiel
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2020 – today
- 2024
[i1]Rafael Blanquero, Emilio Carrizosa, Pepa Ramírez-Cobo, M. Remedios Sillero-Denamiel:
Variable selection for Naïve Bayes classification. CoRR abs/2401.18039 (2024)- 2022
- [j6]Rafael Blanquero
, Emilio Carrizosa, Pepa Ramírez-Cobo, M. Remedios Sillero-Denamiel:
Constrained Naïve Bayes with application to unbalanced data classification. Central Eur. J. Oper. Res. 30(4): 1403-1425 (2022) - [j5]Emilio Carrizosa, Laust Hvas Mortensen, Dolores Romero Morales, M. Remedios Sillero-Denamiel:
The tree based linear regression model for hierarchical categorical variables. Expert Syst. Appl. 203: 117423 (2022) - 2021
- [j4]Rafael Blanquero, Emilio Carrizosa, Pepa Ramírez-Cobo, M. Remedios Sillero-Denamiel:
A cost-sensitive constrained Lasso. Adv. Data Anal. Classif. 15(1): 121-158 (2021) - [j3]Rafael Blanquero, Emilio Carrizosa, Pepa Ramírez-Cobo, M. Remedios Sillero-Denamiel:
Variable selection for Naïve Bayes classification. Comput. Oper. Res. 135: 105456 (2021) - [j2]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:
On sparse ensemble methods: An application to short-term predictions of the evolution of COVID-19. Eur. J. Oper. Res. 295(2): 648-663 (2021)
2010 – 2019
- 2017
- [j1]Alfredo Bermúdez, N. Esteban, Jose Luis Ferrín, J. F. Rodríguez-Calo, M. Remedios Sillero-Denamiel:
Identification problem in plug-flow chemical reactors using the adjoint method. Comput. Chem. Eng. 98: 80-88 (2017)
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