M. Remedios Sillero-Denamiel

According to our database, M. Remedios Sillero-Denamiel authored at least 6 papers between 2017 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

The tree based linear regression model for hierarchical categorical variables.

Emilio Carrizosa, Laust Hvas Mortensen, Dolores Romero Morales, M. Remedios Sillero-Denamiel

Expert Syst. Appl., 2022

Constrained Naïve Bayes with application to unbalanced data classification.

Rafael Blanquero, Emilio Carrizosa, Pepa Ramírez-Cobo, M. Remedios Sillero-Denamiel

Central Eur. J. Oper. Res., 2022

2021

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

Variable selection for Naïve Bayes classification.

Rafael Blanquero, Emilio Carrizosa, Pepa Ramírez-Cobo, M. Remedios Sillero-Denamiel

Comput. Oper. Res., 2021

A cost-sensitive constrained Lasso.

Rafael Blanquero, Emilio Carrizosa, Pepa Ramírez-Cobo, M. Remedios Sillero-Denamiel

Adv. Data Anal. Classif., 2021

2017

Identification problem in plug-flow chemical reactors using the adjoint method.

Alfredo Bermúdez, N. Esteban, Jose Luis Ferrín, J. F. Rodríguez-Calo, M. Remedios Sillero-Denamiel

Comput. Chem. Eng., 2017