关注
M. Remedios Sillero-Denamiel
M. Remedios Sillero-Denamiel
Assistant Professor of Statistics and Operations Research - Universidad de Sevilla
在 us.es 的电子邮件经过验证
标题
引用次数
引用次数
年份
Variable selection for Naïve Bayes classification
R Blanquero, E Carrizosa, P Ramírez-Cobo, MR Sillero-Denamiel
Computers & Operations Research 135, 105456, 2021
602021
On sparse ensemble methods: An application to short-term predictions of the evolution of COVID-19
S Benítez-Peña, E Carrizosa, V Guerrero, MD Jiménez-Gamero, ...
European Journal of Operational Research 295 (2), 648-663, 2021
252021
The tree based linear regression model for hierarchical categorical variables
E Carrizosa, LH Mortensen, DR Morales, MR Sillero-Denamiel
Expert Systems with Applications 203, 117423, 2022
222022
On extreme concentrations in chemical reaction networks with incomplete measurements
R Blanquero, E Carrizosa, O Chis, N Esteban, A Jiménez-Cordero, ...
Industrial & Engineering Chemistry Research 55 (44), 11417-11430, 2016
202016
A cost-sensitive constrained lasso
R Blanquero, E Carrizosa, P Ramírez-Cobo, MR Sillero-Denamiel
Advances in Data Analysis and Classification 15, 121-158, 2021
152021
Identification problem in plug-flow chemical reactors using the adjoint method
A Bermúdez, N Esteban, JL Ferrín, JF Rodríguez-Calo, ...
Computers & Chemical Engineering 98, 80-88, 2017
92017
Constrained Naïve Bayes with application to unbalanced data classification
R Blanquero, E Carrizosa, P Ramírez-Cobo, MR Sillero-Denamiel
Central European Journal of Operations Research, 1-23, 2022
62022
On linear regression models with hierarchical categorical variables
E Carrizosa, LH Mortensen, D Romero Morales, MR Sillero-Denamiel
Technical Report IMUS, Sevilla, Spain, 2020
52020
Bayesian semi-parametric approaches to normal/independent and elliptical distributions
MR Sillero-Denamiel, JM Marín, J Ramírez Cobo, F Ruggeri, MP Wiper
2024
The tree based linear regression model for hierarchical categorical variables
EJ Carrizosa Priego, L Hvas Mortensen, MD Romero Morales, ...
Expert Systems with Applications, 203, 117423-1-117423-13., 2022
2022
Computational Methods for the Analysis of Complex Data
MR Sillero Denamiel
2021
Variable selection for Naïve Bayes classification
R Blanquero Bravo, EJ Carrizosa Priego, J Ramírez Cobo, ...
Computers and Operations Research, 135, 2-11., 2021
2021
A cost-sensitive constrained Lasso
R Blanquero Bravo, EJ Carrizosa Priego, J Ramírez Cobo, ...
Advances in Data Analysis and Classification, 15 (1), 121-158., 2020
2020
A proposal of sparse Naïve Bayes
R Blanquero, EC Priego, JR Cobo, MRS Denamiel
CEB 2017: XVI Spanish Biometric Conference, 63-64, 2017
2017
On Extreme Concentrations in Chemical Reaction Networks with Incomplete Measurements
R Blanquero Bravo, EJ Carrizosa Priego, O Chis, N Esteban, ...
Industrial & Engineering Chemistry Research, 55 (44), 11417-11430., 2016
2016
A new multivariate data analysis model: constrained Naïve Bayes
MR Sillero Denamiel
2016
Quantitative System Risk Assessment from Incomplete Data with Belief Networks and Pairwise Comparison Elicitation
S Wilson, C De Persis, JL Bosque, I Huertas, MR Sillero Denamiel
Available at SSRN 4577878, 0
Enhancing the Lasso by adding performance constraints
RB Bravo, EC Priego, PR Cobo, MRS Denamiel
Welcome letter iii, 14, 0
Parameters inference in chemical reactions networks. Model selection and missing data.
R Blanquero, E Carrizosa, O Chis, N Esteban, A Jiménez-Cordero, ...
19th European Conference on Mathematics for Industry, 469, 0
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