Browsing by Author "Blanquero Bravo, Rafael"
Now showing items 1-20 of 63
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Article
A cost-sensitive constrained Lasso
(Springer, 2020-03-02)The Lasso has become a benchmark data analysis procedure, and numerous variants have been proposed in the literature. ...
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Article
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 ...
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Article
A global optimization method for model selection in chemical reactions networks
(PERGAMON-ELSEVIER SCIENCE LTD, 2016-06-07)Model inference is a challenging problem in the analysis of chemical reactions networks. In order to empirically test ...
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Article
A global optimization procedure for the location of a median line in the three-dimensional space
(ELSEVIER SCIENCE BV, 2011-06-01)A global optimization procedure is proposed to find a line in the Euclidean three-dimensional space which minimizes the ...
- Master's Final Project
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Article
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, 2004-07)One of the practical handicaps for the application of the percolation theory to estimate the percolation threshold of drugs ...
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Final Degree Project
Aprendizaje semisupervisado
(2020-06-01)La presente memoria tiene como objetivo estudiar los conceptos fundamentales del aprendizaje semisupervisado, además de ...
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Master's Final Project
Aprendizaje supervisado mediante random forests
(2017-06)Muchos problemas de la vida real pueden modelarse como problemas de clasificación, tales como la detección temprana de ...
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PhD Thesis
Avances metodológicos en demografía
(2014-07-18)El estudio del volumen, estructura, características y evolución de las poblaciones humanas es el objetivo de la Demografía, ...
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PhD Thesis
Classification and regression with functional data: a mathematical optimization approach.
(2019-02-15)El objetivo de esta tesis doctoral es desarrollar nuevos métodos para la clasificación y regresión supervisada en el ...
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PhD Thesis
Computational Methods for the Analysis of Complex Data
(2021-07-07)This PhD dissertation bridges the disciplines of Operations Research and Statistics to develop novel computational methods ...
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Article
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 ...
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Article
Constrained Naïve Bayes with application to unbalanced data classification
(Springer, 2021-09-15)The Naïve Bayes is a tractable and efficient approach for statistical classification. In general classification problems, ...
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Master's Final Project
Constrained support vector machines theory and applications to health science
(2016-06-24)En los últimos años, la ciencia de los datos se ha convertido en una herramienta muy importante para tratar datos, así ...
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Article
Continuous location problems and Big Triangle Small Triangle: constructing better bounds
(Springer, 2009-11)The Big Triangle Small Triangle method has shown to be a powerful global optimization procedure to address continuous ...
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Article
Cost-sensitive feature selection for support vector machines
(Elsevier, 2018-03)Feature Selection (FS) is a crucial procedure in Data Science tasks such as Classification, since it identifies the ...
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Final Degree Project
Deep learning
(2019-07)Desde hace unos años es incuestionable que la Inteligencia Artificial avanza a pasos agigantados. Es especialmente destacable ...
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Master's Final Project
Development of Artificial Intelligence (AI) techniques for the photo‑identification of fish individuals and implementation of a capture‑mark‑recapture (CMR) model
(2021-07-02)Para evaluar el efecto que ejercen los factores ambientales y presiones humanas sobre los ecosistemas costeros y especies ...
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PhD Thesis
Enhancing Classification and Regression Tree-Based Models by means of Mathematical Optimization
(2022-12-19)This PhD dissertation bridges the disciplines of Operations Research and Machine Learning by developing novel Mathematical ...
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Final Degree Project
Ensemble Methods in Supervised Learning: Review towards an application in a model for predictions about Ecology
(2020-06-16)Advancements in Machine Learning techniques such as Ensemble Methods provide a powerful tool for quickly building accurate ...