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Tesis Doctoral
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 for the extraction of knowledge from complex data. In this research, complex data stands for ...
Artículo
Locating a competitive facility in the plane with a robustness criterion
(Elsevier, 2011-11-16)
A new continuous location model is presented and embedded in the literature on robustness in facility location. The multimodality of the model is investigated, and a branch and bound method based on dc optimization is ...
Artículo
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 relevant variables, making thus the classification procedures more interpretable and more effective by ...
Artículo
Functional-bandwidth kernel for Support Vector Machine with Functional Data_An alternating optimization algorithm
(ELSEVIER SCIENCE BV, 2018-11-24)
Functional Data Analysis (FDA) is devoted to the study of data which are functions. Support Vector Ma- chine (SVM) is a benchmark tool for classification, in particular, of functional data. SVM is frequently used with a ...
Artículo
Selection of time instants and intervals with Support Vector Regression for multivariate functional data
(PERGAMON-ELSEVIER SCIENCE LTD, 2020-07-19)
When continuously monitoring processes over time, data is collected along a whole period, from which only certain time instants and certain time intervals may play a crucial role in the data analysis. We develop a method ...
Artículo
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, the consequences of misclassifications may be rather different in different classes, making it ...
Artículo
Variable selection for Naïve Bayes classification
(Pergamon-Elsevier Science Ltd., 2021-07-06)
The Naïve Bayes has proven to be a tractable and efficient method for classification in multivariate analysis. However, features are usually correlated, a fact that violates the Naïve Bayes’ assumption of conditional ...
Artículo
Optimization of the Norm of a Vector-Valued DC Function and Applications
(Springer, 2000-11-01)
In this paper, we show that a DC representation can be obtained explicitly for the composition of a gauge with a DC mapping, so that the optimization of certain functions involving terms of this kind can be made by using ...
Tesis Doctoral
Mixed Integer Nonlinear Optimization. Applications to Competitive Location and Supervised Classification
(2015-02-25)
This PhD dissertation focuses on the study of Mixed Integer Nonlinear Programming (MINLP) problems [34] for two important and current applications: competitive location on networks [59, 64] and Support Vector Machines ...
Artículo
Single-facility huff location problems on networks
(Springer, 2013-09-17)
Huff location problems have been extensively analyzed within the field of competitive continuous location. In this work, two Huff location models on networks are addressed, by considering that users go directly to the ...