M. Remedios Sillero-Denamiel
M. Remedios Sillero-Denamiel
School of Computer Science and Statistics - Trinity College Dublin
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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
172016
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
72017
A cost-sensitive constrained lasso
R Blanquero, E Carrizosa, P Ramírez-Cobo, MR Sillero-Denamiel
Advances in Data Analysis and Classification 15 (1), 121-158, 2021
52021
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
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, 2021
42021
Variable selection for Naïve Bayes classification
R Blanquero, E Carrizosa, P Ramírez-Cobo, MR Sillero-Denamiel
Computers & Operations Research 135, 105456, 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
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
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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