Por motivos de mantenimiento se ha deshabilitado el inicio de sesión temporalmente. Rogamos disculpen las molestias.
NameBlanquero Bravo, Rafael
DepartmentEstadística e Investigación Operativa
Knowledge areaEstadística e Investigación Operativa
Professional categoryCatedrático de Universidad
E-mailRequest
           
  • No. publications

    63

  • No. visits

    16420

  • No. downloads

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Article
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Re-identification of fish individuals of undulate skate via deep learning within a few-shot context

Gómez Vargas, Nuria; Alonso Fernández, Alexandre; Blanquero Bravo, Rafael; Antelo, Luis T. (ScienceDirect, 2023)
Individual re-identification is critical to track population changes in order to assess status, being particularly relevant ...
Article
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On optimal regression trees to detect critical intervals for multivariate functional data

Blanquero Bravo, Rafael; Carrizosa Priego, Emilio José; Molero Río, Cristina; Romero Morales, María Dolores (ScienceDirect, 2023)
In this paper, we tailor optimal randomized regression trees to handle multivariate functional data. A compromise between ...
PhD Thesis
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Enhancing Classification and Regression Tree-Based Models by means of Mathematical Optimization

Molero del Río, María Cristina; Blanquero Bravo, Rafael; Carrizosa Priego, Emilio José; Romero Morales, María Dolores (2022)
This PhD dissertation bridges the disciplines of Operations Research and Machine Learning by developing novel Mathematical ...
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On sparse optimal regression trees

Blanquero Bravo, Rafael; Carrizosa Priego, Emilio José; Molero del Río, María Cristina; Romero Morales, María Dolores (Elsevier, 2021)
In this paper, we model an optimal regression tree through a continuous optimization problem, where a compromise between ...
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Constrained Naïve Bayes with application to unbalanced data classification

Blanquero Bravo, Rafael; Carrizosa Priego, Emilio José; Ramírez Cobo, Josefa; Sillero Denamiel, María Remedios (Springer, 2021)
The Naïve Bayes is a tractable and efficient approach for statistical classification. In general classification problems, ...
PhD Thesis
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New models and methods for classification and feature selection. a mathematical optimization perspective

Benítez Peña, Sandra; Blanquero Bravo, Rafael; Carrizosa Priego, Emilio José; Ramírez Cobo, Josefa (2021)
The objective of this PhD dissertation is the development of new models for Supervised Classification and Benchmarking, ...
PhD Thesis
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Computational Methods for the Analysis of Complex Data

Sillero Denamiel, María Remedios; Blanquero Bravo, Rafael; Carrizosa Priego, Emilio José; Ramírez Cobo, Josefa (2021)
This PhD dissertation bridges the disciplines of Operations Research and Statistics to develop novel computational methods ...
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Variable selection for Naïve Bayes classification

Blanquero Bravo, Rafael; Carrizosa Priego, Emilio José; Ramírez Cobo, Josefa; Sillero Denamiel, María Remedios (Pergamon-Elsevier Science Ltd., 2021)
The Naïve Bayes has proven to be a tractable and efficient method for classification in multivariate analysis. However, ...
Master's Final Project
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Development of Artificial Intelligence (AI) techniques for the photo‑identification of fish individuals and implementation of a capture‑mark‑recapture (CMR) model

Gómez Vargas, Nuria; Blanquero Bravo, Rafael; Taboada Antelo, Luis; Alonso Fernández, Alexandre (2021)
Para evaluar el efecto que ejercen los factores ambientales y presiones humanas sobre los ecosistemas costeros y especies ...
Final Degree Project
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Text mining: Principios básicos, aplicaciones, técnicas y casos prácticos

Carrillo García, Rosa María; Blanquero Bravo, Rafael (2021)
Es evidente que actualmente el Text Mining es considerado como un ámbito de gran importancia y progresión. En este trabajo, ...
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Variable selection for Naïve Bayes classification

Blanquero Bravo, Rafael; Carrizosa Priego, Emilio José; Ramírez Cobo, Josefa; Sillero Denamiel, María Remedios (Elsevier, 2021)
The Naïve Bayes has proven to be a tractable and efficient method for classification in multivariate analysis. However, ...
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Selection of time instants and intervals with Support Vector Regression for multivariate functional data

Blanquero Bravo, Rafael; Carrizosa Priego, Emilio José; Jiménez Cordero, María Asunción; Martín Barragán, Belén (PERGAMON-ELSEVIER SCIENCE LTD, 2020)
When continuously monitoring processes over time, data is collected along a whole period, from which only certain time ...
Final Degree Project
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Ensemble Methods in Supervised Learning: Review towards an application in a model for predictions about Ecology

Gómez Vargas, Nuria; Blanquero Bravo, Rafael (2020)
Advancements in Machine Learning techniques such as Ensemble Methods provide a powerful tool for quickly building accurate ...
Final Degree Project
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Aprendizaje semisupervisado

Roldán Bocanegra, Ignacio; Blanquero Bravo, Rafael (2020)
La presente memoria tiene como objetivo estudiar los conceptos fundamentales del aprendizaje semisupervisado, además de ...
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A cost-sensitive constrained Lasso

Blanquero Bravo, Rafael; Carrizosa Priego, Emilio José; Ramírez Cobo, Josefa; Sillero Denamiel, María Remedios (Springer, 2020)
The Lasso has become a benchmark data analysis procedure, and numerous variants have been proposed in the literature. ...
Article
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Sparsity in optimal randomized classification trees

Blanquero Bravo, Rafael; Carrizosa Priego, Emilio José; Molero Río, Cristina; Romero Morales, María Dolores (ELSEVIER SCIENCE BV, 2019)
Decision trees are popular Classification and Regression tools and, when small-sized, easy to interpret. Traditionally, a ...
Final Degree Project
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Deep learning

Centeno Franco, Alba; Blanquero Bravo, Rafael (2019)
Desde hace unos años es incuestionable que la Inteligencia Artificial avanza a pasos agigantados. Es especialmente destacable ...
Final Degree Project
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Mathematical optimization in deep learning

Ramírez Ayerbe, Miren Jasone; Carrizosa Priego, Emilio José; Blanquero Bravo, Rafael (2019)
Mathematical Optimization plays a pillar role in Machine Learning (ML) and Neural Networks (NN) are amongst the most popular ...
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Variable selection in classification for multivariate functional data

Blanquero Bravo, Rafael; Carrizosa Priego, Emilio José; Jiménez Cordero, María Asunción; Martín Barragán, Belén (ELSEVIER SCIENCE INC, 2019)
When classification methods are applied to high-dimensional data, selecting a subset of the predictors may lead to an ...
PhD Thesis
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Classification and regression with functional data: a mathematical optimization approach.

Jiménez Cordero, María Asunción; Blanquero Bravo, Rafael; Carrizosa Priego, Emilio José (2019)
El objetivo de esta tesis doctoral es desarrollar nuevos métodos para la clasificación y regresión supervisada en el ...
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Functional-bandwidth kernel for Support Vector Machine with Functional Data_An alternating optimization algorithm

Blanquero Bravo, Rafael; Carrizosa Priego, Emilio José; Jiménez Cordero, María Asunción; Martín Barragán, Belén (ELSEVIER SCIENCE BV, 2018)
Functional Data Analysis (FDA) is devoted to the study of data which are functions. Support Vector Ma- chine (SVM) is a ...
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On support vector machines under a multiple-cost scenario

Benítez Peña, Sandra; Blanquero Bravo, Rafael; Carrizosa Priego, Emilio José; Ramírez Cobo, Josefa (Springer, 2018)
Support vector machine (SVM) is a powerful tool in binary classification, known to attain excellent misclassification ...
Final Degree Project
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Optimización matemática en problemas de la Física

Brenes Ferreiro, María de las Mercedes; Blanquero Bravo, Rafael; Carrizosa Priego, Emilio José (2018)
In this work, Spin Glasses with Ising Sping model are studied. The objetive is the computation of the magnetic partition ...
Final Degree Project
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Regresión Lasso

Ramos Castillo, Laura; Blanquero Bravo, Rafael; Carrizosa Priego, Emilio José (2018)
Currently we find regression problems in many branches of science, so, as better is the model we use to select variables, ...
Final Degree Project
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El método de aproximación por media muestral

González López, Rafael; Blanquero Bravo, Rafael; Carrizosa Priego, Emilio José (2018)
The sample average approximation (SAA) method is an approach for solving stochastic optimization problems by using Monte ...
Article
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Cost-sensitive feature selection for support vector machines

Benítez Peña, Sandra; Blanquero Bravo, Rafael; Carrizosa Priego, Emilio José; Ramírez Cobo, Josefa (Elsevier, 2018)
Feature Selection (FS) is a crucial procedure in Data Science tasks such as Classification, since it identifies the relevant ...
Final Degree Project
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Inferencia bayesiana

Ortiz Padilla, Íñigo; Blanquero Bravo, Rafael; Carrizosa Priego, Emilio José (2018)
The subject of this document is Bayesian Inference, an inference system based on Bayes’ Formula. In the first chapter we ...
Master's Final Project
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Optimización de funciones DC. El algoritmo DCA

Valverde Martín, Carlos; Blanquero Bravo, Rafael; Carrizosa Priego, Emilio José (2017)
Master's Final Project
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Aprendizaje supervisado mediante random forests

Molero del Río, María Cristina; Blanquero Bravo, Rafael; Carrizosa Priego, Emilio José (2017)
Muchos problemas de la vida real pueden modelarse como problemas de clasificación, tales como la detección temprana de ...
Article
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p-facility Huff location problem on networks

Blanquero Bravo, Rafael; Carrizosa Priego, Emilio José; Gazdag-Tóth, Boglárka; Nogales Gómez, Amaya (Elsevier, 2016)
The p-facility Huff location problem aims at locating facilities on a competitive environment so as to maximize the market ...
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On Extreme Concentrations in Chemical Reaction Networks with Incomplete Measurements

Blanquero Bravo, Rafael; Carrizosa Priego, Emilio José; Chis, Oana; Esteban, Noemí; Jiménez Cordero, María Asunción; Rodríguez, José Francisco; Sillero Denamiel, María Remedios (ACS, 2016)
A fundamental problem in the analysis of chemical reactions networks consists of identifying concentration values along ...
Article
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Maximal covering location problems on networks with regional demand

Blanquero Bravo, Rafael; Carrizosa Priego, Emilio José; Gazdag-Tóth, Boglárka (Elsevier, 2016)
Covering problems are well studied in the Operations Research literature under the assumption that both the set of users ...
Master's Final Project
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Constrained support vector machines theory and applications to health science

Benítez Peña, Sandra; Blanquero Bravo, Rafael; Carrizosa Priego, Emilio José; Ramírez Cobo, Josefa (2016)
En los últimos años, la ciencia de los datos se ha convertido en una herramienta muy importante para tratar datos, así ...
Master's Final Project
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A new multivariate data analysis model: constrained Naïve Bayes

Sillero Denamiel, María Remedios; Blanquero Bravo, Rafael; Carrizosa Priego, Emilio José; Ramírez Cobo, Josefa (2016)
Final Degree Project
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Técnicas de aprendizaje automático para predicción de dianas de microRNA

Bastida Alba, Violeta; Blanquero Bravo, Rafael (2016)
Article
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A global optimization method for model selection in chemical reactions networks

Blanquero Bravo, Rafael; Carrizosa Priego, Emilio José; Jiménez Cordero, María Asunción; Rodríguez, José Francisco (PERGAMON-ELSEVIER SCIENCE LTD, 2016)
Model inference is a challenging problem in the analysis of chemical reactions networks. In order to empirically test ...
Final Degree Project
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Problemas de localización competitiva. El modelo de Huff

Molero del Río, María Cristina; Blanquero Bravo, Rafael; Carrizosa Priego, Emilio José (2016)
The ability of a firm to produce goods and/or services and market them effectively depends largely on the location of its ...
Article
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Consistencia en la desagregación de la población. El problema del ruido y el age heaping

Bermúdez Parrado, Silvia; Blanquero Bravo, Rafael (Instituto Nacional de Estadística, 2016)
La población desagregada en edad simple es una herramienta básica para las oficinas estadísticas, pues es usada, por ...
Presentation
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Population pharmacokinetics of colistin: implications for clinical use for Gram-negative pathogens

Pachón Ibáñez, María Eugenia; Docobo Pérez, Fernando; Blanquero Bravo, Rafael; Garnacho Montero, José; Benítez Peña, Sandra; Dimopoulos, George; Rosso Fernández, Clara; Gutiérrez Pizarraya, Antonio; López Cortés, Luis Fernando; Cisneros Herreros, José Miguel (2016)
The objective of this study was to characterize the pharmacokinetics of colistin methanesulphonate (CMS) and colistin in ...
Final Degree Project
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Support vector regression : propiedades y aplicaciones

Martín Guareño, Juan José; Blanquero Bravo, Rafael; Carrizosa Priego, Emilio José (2016)
Statistical learning plays a key role in many areas of science, finance and industry. In particular, supervised learning ...
Final Degree Project
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Mathematical optimization and social networks

Díaz Mena, Lourdes; Blanquero Bravo, Rafael; Carrizosa Priego, Emilio José (2015)
Final Degree Project
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Statistical models in pharmacokinetics and pharmacodynamics

Benítez Peña, Sandra; Blanquero Bravo, Rafael; Carrizosa Priego, Emilio José (2015)
Final Degree Project
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Mathematical optimization and feature selection

Casado Reinaldos, Alejandro; Blanquero Bravo, Rafael; Carrizosa Priego, Emilio José (2015)
PhD Thesis
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Mixed Integer Nonlinear Optimization. Applications to Competitive Location and Supervised Classification

Nogales Gómez, Amaya; Blanquero Bravo, Rafael; Carrizosa Priego, Emilio José; Romero Morales, María Dolores (2015)
This PhD dissertation focuses on the study of Mixed Integer Nonlinear Programming (MINLP) problems [34] for two important ...
PhD Thesis
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Avances metodológicos en demografía

Bermúdez Parrado, Silvia; Arroyo Pérez, Andrés; Blanquero Bravo, Rafael (2014)
El estudio del volumen, estructura, características y evolución de las poblaciones humanas es el objetivo de la Demografía, ...
Master's Final Project
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MINLP in Chemical Reaction Networks

Jiménez Cordero, María Asunción; Blanquero Bravo, Rafael; Carrizosa Priego, Emilio José (2014)
Article
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Solving the median problem with continuous demand on a network

Blanquero Bravo, Rafael; Carrizosa Priego, Emilio José (Springer, 2013)
Where to locate one or several facilities on a network so as to minimize the expected users-closest facility transportation ...
Article
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Single-facility huff location problems on networks

Blanquero Bravo, Rafael; Carrizosa Priego, Emilio José; Nogales Gómez, Amaya; Plastria, Frank (Springer, 2013)
Huff location problems have been extensively analyzed within the field of competitive continuous location. In this work, ...
Presentation
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Modelo estadístico para la predicción del índice estandarizado de sequía pluviométrica (IESP) en Andalucía

Blanquero Bravo, Rafael; Carrizosa Priego, Emilio José; Pita López, María Fernanda; Camarillo Naranjo, Juan Mariano; Álvarez Francoso, José Ignacio (Universidad de Salamanca, 2012)
La comunicación aborda el diseño de un modelo estadístico de predicción dinámica de la sequía en Andalucía y su persistencia ...
Article
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Locating a competitive facility in the plane with a robustness criterion

Blanquero Bravo, Rafael; Carrizosa Priego, Emilio José; Hendrix, Eligius M.T. (Elsevier, 2011)
A new continuous location model is presented and embedded in the literature on robustness in facility location. The ...
Article
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A global optimization procedure for the location of a median line in the three-dimensional space

Blanquero Bravo, Rafael; Carrizosa Priego, Emilio José; Schöbel, Anita; Scholz, Daniel (ELSEVIER SCIENCE BV, 2011)
A global optimization procedure is proposed to find a line in the Euclidean three-dimensional space which minimizes the ...
Article
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On minimax-regret Huff location models

Bello Garboza, Lenys; Blanquero Bravo, Rafael; Carrizosa Priego, Emilio José (Elsevier, 2011)
We address the following single-facility location problem: a firm is entering into a market by locating one facility in a ...
Article
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On the norm of a dc function

Blanquero Bravo, Rafael; Carrizosa Priego, Emilio José (Springer, 2009)
It is well known that, if a vector-valued function can be written as difference of componentwise convex functions, the ...
Article
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Continuous location problems and Big Triangle Small Triangle: constructing better bounds

Blanquero Bravo, Rafael; Carrizosa Priego, Emilio José (Springer, 2009)
The Big Triangle Small Triangle method has shown to be a powerful global optimization procedure to address continuous ...
Article
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Locating Objects in the Plane Using Global Optimization Techniques

Blanquero Bravo, Rafael; Carrizosa Priego, Emilio José; Hansen, Pierre (Informs, 2009)
We address the problem of locating objects in the plane such as segments, arcs of circumferences, arbitrary convex sets, ...
Article
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Inferring efficient weights from pairwise comparison matrices

Blanquero Bravo, Rafael; Carrizosa Priego, Emilio José; Conde Sánchez, Eduardo (Springer, 2006)
Several multi-criteria-decision-making methodologies assume the existence of weights associated with the different criteria, ...
Article
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Application of a new mathematical method for the estimation of the mean surface area to calculate the percolation threshold of Lobenzarit dissodium salt in controlled release matrices

Boza Rivera, Anailien; Blanquero Bravo, Rafael; Millán Jiménez, Mónica; Caraballo Rodríguez, Isidoro (The Pharmaceutical Society of Japan, 2004)
One of the practical handicaps for the application of the percolation theory to estimate the percolation threshold of drugs ...
Article
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A DC biobjective location model

Blanquero Bravo, Rafael; Carrizosa Priego, Emilio José (Springer, 2002)
In this paper we address the biobjective problem of locating a semiobnoxious facility, that must provide service to a given ...
Article
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Finding GM-estimators with global optimization techniques

Blanquero Bravo, Rafael; Carrizosa Priego, Emilio José; Conde Sánchez, Eduardo (Springer, 2001)
In this note we address the problem of finding the GM-estimator for the location parameter of a univariate random variable. ...
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On Covering Methods for D.C. Optimization

Blanquero Bravo, Rafael; Carrizosa Priego, Emilio José (Springer, 2000)
Covering methods constitute a broad class of algorithms for solving multivariate Global Optimization problems. In this ...
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Optimization of the Norm of a Vector-Valued DC Function and Applications

Blanquero Bravo, Rafael; Carrizosa Priego, Emilio José (Springer, 2000)
In this paper, we show that a DC representation can be obtained explicitly for the composition of a gauge with a DC mapping, ...
PhD Thesis
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Localización de servicios en el plano mediante técnicas de Optimización d.c.

Blanquero Bravo, Rafael; Carrizosa Priego, Emilio José; Infante Macías, Rafael (1999)
Article
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Utilización de antimicrobianos en los hospitales públicos de Andalucía: 1995-1996

Cobos García, Francisco Javier; Cameán Fernández, Manuel; Santos Ramos, Bernardo; Bautista Paloma, Francisco Javier; Tarín Remohí, María José; Muñoz Muñoz, Nuria; Blanquero Bravo, Rafael (Aula Médica, 1997)
Objetivo. Describir el consumo de antiinfecciosos en los hospitales públicos de Andalucía durante los años 1995 y 1996. ...