| Variable selection for Naïve Bayes classification R Blanquero, E Carrizosa, P Ramírez-Cobo, MR Sillero-Denamiel Computers & Operations Research 135, 105456, 2021 | 49 | 2021 |
| 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 | 24 | 2021 |
| 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 | 20 | 2016 |
| 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 | 19 | 2022 |
| 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 | 14 | 2021 |
| 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 | 10 | 2017 |
| On linear regression models with hierarchical categorical variables E Carrizosa, LH Mortensen, D Romero Morales, MR Sillero-Denamiel Technical Report IMUS, Sevilla, Spain, 2020 | 5 | 2020 |
| 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 | 4 | 2022 |
| 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 | | |
