Perfil del autor: Blanquero Bravo, Rafael
Datos institucionales
| Nombre | Blanquero Bravo, Rafael |
| Departamento | Estadística e Investigación Operativa |
| Área de conocimiento | Estadística e Investigación Operativa |
| Categoría profesional | Catedrático de Universidad |
| Correo electrónico | Solicitar |
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Estadísticas
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Nº publicaciones
63
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Nº visitas
14526
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Nº descargas
74960
| Publicaciones |
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Artículo
 Re-identification of fish individuals of undulate skate via deep learning within a few-shot context
(ScienceDirect, 2023)
Individual re-identification is critical to track population changes in order to assess status, being particularly relevant ... |
Artículo
On optimal regression trees to detect critical intervals for multivariate functional data
(ScienceDirect, 2023)
In this paper, we tailor optimal randomized regression trees to handle multivariate functional data. A compromise between ... |
Tesis Doctoral
Enhancing Classification and Regression Tree-Based Models by means of Mathematical Optimization
(2022)
This PhD dissertation bridges the disciplines of Operations Research and Machine Learning by developing novel Mathematical ... |
Artículo
On sparse optimal regression trees
(Elsevier, 2021)
In this paper, we model an optimal regression tree through a continuous optimization problem, where a compromise between ... |
Artículo
Constrained Naïve Bayes with application to unbalanced data classification
(Springer, 2021)
The Naïve Bayes is a tractable and efficient approach for statistical classification. In general classification problems, ... |
Tesis Doctoral
New models and methods for classification and feature selection. a mathematical optimization perspective
(2021)
The objective of this PhD dissertation is the development of new models for Supervised Classification and Benchmarking, ... |
Tesis Doctoral
Computational Methods for the Analysis of Complex Data
(2021)
This PhD dissertation bridges the disciplines of Operations Research and Statistics to develop novel computational methods ... |
Artículo
Variable selection for Naïve Bayes classification
(Pergamon-Elsevier Science Ltd., 2021)
The Naïve Bayes has proven to be a tractable and efficient method for classification in multivariate analysis. However, ... |
Trabajo Fin de Máster
Development of Artificial Intelligence (AI) techniques for the photo‑identification of fish individuals and implementation of a capture‑mark‑recapture (CMR) model
(2021)
Para evaluar el efecto que ejercen los factores ambientales y presiones humanas sobre los ecosistemas costeros y especies ... |
Trabajo Fin de Grado
Text mining: Principios básicos, aplicaciones, técnicas y casos prácticos
(2021)
Es evidente que actualmente el Text Mining es considerado como un ámbito de gran importancia y progresión. En este trabajo, ... |
Artículo
Variable selection for Naïve Bayes classification
(Elsevier, 2021)
The Naïve Bayes has proven to be a tractable and efficient method for classification in multivariate analysis. However, ... |
Artículo
Selection of time instants and intervals with Support Vector Regression for multivariate functional data
(PERGAMON-ELSEVIER SCIENCE LTD, 2020)
When continuously monitoring processes over time, data is collected along a whole period, from which only certain time ... |
Trabajo Fin de Grado
Ensemble Methods in Supervised Learning: Review towards an application in a model for predictions about Ecology
(2020)
Advancements in Machine Learning techniques such as Ensemble Methods provide a powerful tool for quickly building accurate ... |
Trabajo Fin de Grado
Aprendizaje semisupervisado
(2020)
La presente memoria tiene como objetivo estudiar los conceptos fundamentales del aprendizaje semisupervisado, además de ... |
Artículo
A cost-sensitive constrained Lasso
(Springer, 2020)
The Lasso has become a benchmark data analysis procedure, and numerous variants have been proposed in the literature. ... |
Artículo
Sparsity in optimal randomized classification trees
(ELSEVIER SCIENCE BV, 2019)
Decision trees are popular Classification and Regression tools and, when small-sized, easy to interpret. Traditionally, a ... |
Trabajo Fin de Grado
Deep learning
(2019)
Desde hace unos años es incuestionable que la Inteligencia Artificial avanza a pasos agigantados. Es especialmente destacable ... |
Trabajo Fin de Grado
Mathematical optimization in deep learning
(2019)
Mathematical Optimization plays a pillar role in Machine Learning (ML) and Neural Networks (NN) are amongst the most popular ... |
Artículo
Variable selection in classification for multivariate functional data
(ELSEVIER SCIENCE INC, 2019)
When classification methods are applied to high-dimensional data, selecting a subset of the predictors may lead to an ... |
Tesis Doctoral
 Classification and regression with functional data: a mathematical optimization approach.
(2019)
El objetivo de esta tesis doctoral es desarrollar nuevos métodos para la clasificación y regresión supervisada en el ... |
Artículo
Functional-bandwidth kernel for Support Vector Machine with Functional Data_An alternating optimization algorithm
(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 ... |
Artículo
On support vector machines under a multiple-cost scenario
(Springer, 2018)
Support vector machine (SVM) is a powerful tool in binary classification, known to attain excellent misclassification ... |
Trabajo Fin de Grado
Optimización matemática en problemas de la Física
(2018)
In this work, Spin Glasses with Ising Sping model are studied. The objetive is the computation of the magnetic partition ... |
Trabajo Fin de Grado
Regresión Lasso
(2018)
Currently we find regression problems in many branches of science, so, as better is the model we use to select variables, ... |
Trabajo Fin de Grado
El método de aproximación por media muestral
(2018)
The sample average approximation (SAA) method is an approach for solving stochastic optimization problems by using Monte ... |
Artículo
Cost-sensitive feature selection for support vector machines
(Elsevier, 2018)
Feature Selection (FS) is a crucial procedure in Data Science tasks such as Classification, since it identifies the relevant ... |
Trabajo Fin de Grado
Inferencia bayesiana
(2018)
The subject of this document is Bayesian Inference, an inference system based on Bayes’ Formula. In the first chapter we ... |
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Trabajo Fin de Máster
Aprendizaje supervisado mediante random forests
(2017)
Muchos problemas de la vida real pueden modelarse como problemas de clasificación, tales como la detección temprana de ... |
Artículo
p-facility Huff location problem on networks
(Elsevier, 2016)
The p-facility Huff location problem aims at locating facilities on a competitive environment so as to maximize the market ... |
Artículo
On Extreme Concentrations in Chemical Reaction Networks with Incomplete Measurements
(ACS, 2016)
A fundamental problem in the analysis of chemical reactions networks consists of identifying concentration values along ... |
Artículo
Maximal covering location problems on networks with regional demand
(Elsevier, 2016)
Covering problems are well studied in the Operations Research literature under the assumption that both the set of users ... |
Trabajo Fin de Máster
Constrained support vector machines theory and applications to health science
(2016)
En los últimos años, la ciencia de los datos se ha convertido en una herramienta muy importante para tratar datos, así ... |
| Trabajo Fin de Máster |
| Trabajo Fin de Grado |
Artículo
A global optimization method for model selection in chemical reactions networks
(PERGAMON-ELSEVIER SCIENCE LTD, 2016)
Model inference is a challenging problem in the analysis of chemical reactions networks. In order to empirically test ... |
Trabajo Fin de Grado
Problemas de localización competitiva. El modelo de Huff
(2016)
The ability of a firm to produce goods and/or services and market them effectively depends largely on the location of its ... |
Artículo
Consistencia en la desagregación de la población. El problema del ruido y el age heaping
(Instituto Nacional de Estadística, 2016)
La población desagregada en edad simple es una herramienta básica para las oficinas estadísticas, pues es usada, por ... |
Ponencia
Population pharmacokinetics of colistin: implications for clinical use for Gram-negative pathogens
(2016)
The objective of this study was to characterize the pharmacokinetics of colistin methanesulphonate (CMS) and colistin in ... |
Trabajo Fin de Grado
Support vector regression : propiedades y aplicaciones
(2016)
Statistical learning plays a key role in many areas of science, finance and industry. In particular, supervised learning ... |
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Tesis Doctoral
Mixed Integer Nonlinear Optimization. Applications to Competitive Location and Supervised Classification
(2015)
This PhD dissertation focuses on the study of Mixed Integer Nonlinear Programming (MINLP) problems [34] for two important ... |
Tesis Doctoral
Avances metodológicos en demografía
(2014)
El estudio del volumen, estructura, características y evolución de las poblaciones humanas es el objetivo de la Demografía, ... |
| Trabajo Fin de Máster |
Artículo
Solving the median problem with continuous demand on a network
(Springer, 2013)
Where to locate one or several facilities on a network so as to minimize the expected users-closest facility transportation ... |
Artículo
Single-facility huff location problems on networks
(Springer, 2013)
Huff location problems have been extensively analyzed within the field of competitive continuous location. In this work, ... |
Ponencia
Modelo estadístico para la predicción del índice estandarizado de sequía pluviométrica (IESP) en Andalucía
(Universidad de Salamanca, 2012)
La comunicación aborda el diseño de un modelo estadístico de predicción dinámica de la sequía en Andalucía y su persistencia ... |
Artículo
Locating a competitive facility in the plane with a robustness criterion
(Elsevier, 2011)
A new continuous location model is presented and embedded in the literature on robustness in facility location. The ... |
Artículo
A global optimization procedure for the location of a median line in the three-dimensional space
(ELSEVIER SCIENCE BV, 2011)
A global optimization procedure is proposed to find a line in the Euclidean three-dimensional space which minimizes the ... |
Artículo
On minimax-regret Huff location models
(Elsevier, 2011)
We address the following single-facility location problem: a firm is entering into a market by locating one facility in a ... |
Artículo
On the norm of a dc function
(Springer, 2009)
It is well known that, if a vector-valued function can be written as difference of componentwise convex functions, the ... |
Artículo
Continuous location problems and Big Triangle Small Triangle: constructing better bounds
(Springer, 2009)
The Big Triangle Small Triangle method has shown to be a powerful global optimization procedure to address continuous ... |
Artículo
Locating Objects in the Plane Using Global Optimization Techniques
(Informs, 2009)
We address the problem of locating objects in the plane such as segments, arcs of circumferences, arbitrary convex sets, ... |
Artículo
Inferring efficient weights from pairwise comparison matrices
(Springer, 2006)
Several multi-criteria-decision-making methodologies assume the existence of weights associated with the different criteria, ... |
Artículo
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
(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 ... |
Artículo
A DC biobjective location model
(Springer, 2002)
In this paper we address the biobjective problem of locating a semiobnoxious facility, that must provide service to a given ... |
Artículo
Finding GM-estimators with global optimization techniques
(Springer, 2001)
In this note we address the problem of finding the GM-estimator for the location parameter of a univariate random variable. ... |
Artículo
On Covering Methods for D.C. Optimization
(Springer, 2000)
Covering methods constitute a broad class of algorithms for solving multivariate Global Optimization problems. In this ... |
Artículo
Optimization of the Norm of a Vector-Valued DC Function and Applications
(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, ... |
| Tesis Doctoral |
Artículo
Utilización de antimicrobianos en los hospitales públicos de Andalucía: 1995-1996
(Aula Médica, 1997)
Objetivo. Describir el consumo de antiinfecciosos en los hospitales públicos de Andalucía durante los años 1995 y 1996. ... |