NameBlanquero Bravo, Rafael
DepartmentEstadística e Investigación Operativa
Knowledge areaEstadística e Investigación Operativa
Professional categoryCatedrático de Universidad
E-mailRequest
           
  • No. publications

    63

  • No. visits

    13978

  • No. downloads

    69603


 

Article
Icon

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
Icon

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
Icon

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 ...
Article
Icon

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 ...
Article
Icon

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
Icon

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
Icon

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 ...
Article
Icon

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
Icon

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
Icon

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, ...
Article
Icon

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, ...
Article
Icon

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
Icon

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
Icon

Aprendizaje semisupervisado

Roldán Bocanegra, Ignacio; Blanquero Bravo, Rafael (2020)
La presente memoria tiene como objetivo estudiar los conceptos fundamentales del aprendizaje semisupervisado, además de ...
Article
Icon

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
Icon

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
Icon

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
Icon

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 ...
Article
Icon

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
IconIcon

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 ...
Article
Icon

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 ...
Article
Icon

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
Icon

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
Icon

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 ...
Final Degree Project
Icon

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, ...
Article
Icon

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
Icon

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
Icon

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 ...
Master's Final Project
Icon

Optimización de funciones DC. El algoritmo DCA

Valverde Martín, Carlos; Blanquero Bravo, Rafael; Carrizosa Priego, Emilio José (2017)
Article
Icon

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 ...
Article
Icon

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
Icon

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
Icon

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
Icon

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
Icon

Técnicas de aprendizaje automático para predicción de dianas de microRNA

Bastida Alba, Violeta; Blanquero Bravo, Rafael (2016)
Article
Icon

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
Icon

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 ...
Final Degree Project
Icon

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 ...
Article
Icon

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
Icon

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
Icon

Mathematical optimization and social networks

Díaz Mena, Lourdes; Blanquero Bravo, Rafael; Carrizosa Priego, Emilio José (2015)
Final Degree Project
Icon

Statistical models in pharmacokinetics and pharmacodynamics

Benítez Peña, Sandra; Blanquero Bravo, Rafael; Carrizosa Priego, Emilio José (2015)
Final Degree Project
Icon

Mathematical optimization and feature selection

Casado Reinaldos, Alejandro; Blanquero Bravo, Rafael; Carrizosa Priego, Emilio José (2015)
PhD Thesis
Icon

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
Icon

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
Icon

MINLP in Chemical Reaction Networks

Jiménez Cordero, María Asunción; Blanquero Bravo, Rafael; Carrizosa Priego, Emilio José (2014)
Article
Icon

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
Icon

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
Icon

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
Icon

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
Icon

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
Icon

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
Icon

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
Icon

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
Icon

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
Icon

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
Icon

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
Icon

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
Icon

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. ...
Article
Icon

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 ...
Article
Icon

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
Icon

Localización de servicios en el plano mediante técnicas de Optimización d.c.

Blanquero Bravo, Rafael; Carrizosa Priego, Emilio José; Infante Macías, Rafael (1999)
Article
Icon

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. ...