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Artículo
On sparse ensemble methods: an application to short-term predictions of the evolution of COVID-19
(Elsevier, 2021-04-18)
Since the seminal paper by Bates and Granger in 1969, a vast number of ensemble methods that combine different base regressors to generate a unique one have been proposed in the literature. The so-obtained regressor method ...
Artículo
A characterization of efficient points in constrained location problems with regional demand
(ELSEVIER SCIENCE BV, 1996-02-01)
In this paper we characterize the set of efficient points in the planar point-objective location problem under a convex locational constraint, when distances are measured by a strictly convex norm in ~2 and the set of ...
Artículo
Visualization of complex dynamic datasets by means of mathematical optimization
(PERGAMON-ELSEVIER SCIENCE LTD, 2019-07-01)
In this paper we propose an optimization model and a solution approach to visualize datasets which are made up of individuals observed along different time periods. These individuals have attached a time-dependent magnitude ...
Artículo
Kernel Penalized K-means: A feature selection method based on Kernel K-means
(ELSEVIER SCIENCE BV, 2015-11-20)
We present an unsupervised method that selects the most relevant features using an embedded strategy while maintaining the cluster structure found with the initial feature set. It is based on the idea of simultaneously ...
Artículo
Solving the median problem with continuous demand on a network
(Springer, 2013-12)
Where to locate one or several facilities on a network so as to minimize the expected users-closest facility transportation cost is a problem well studied in the OR literature under the name of median problem. In the median ...
Artículo
Improving Interval Analysis Bounds by Translations
(Springer, 2003-08-26)
We explore how a simple linear change of variable affects the inclusion functions obtained with Interval Analysis methods. Univariate and multivariate polynomial test functions are considered, showing that translation-based ...
Artículo
On Extreme Concentrations in Chemical Reaction Networks with Incomplete Measurements
(ACS, 2016-11-09)
A fundamental problem in the analysis of chemical reactions networks consists of identifying concentration values along time or in steady state which are coherent with the experimental concentration data available. When ...
Artículo
Maximin location: discretization not always works
(Springer, 1998-01-01)
In this note we show by means of a simple example that, if the maximin problem with (nonlinear) concave increasing utility functions is solved by inspecting the extreme points of the (generalized) Voronoi diagram (as usually ...
Artículo
Supervised classification and mathematical optimization
(Elsevier, 2013-01)
Data Mining techniques often ask for the resolution of optimization problems. Supervised Classification, and, in particular, Support Vector Machines, can be seen as a paradigmatic instance. In this paper, some links between ...
Artículo
Interpreting clusters via prototype optimization
(Elsevier, 2021)
In this paper, we tackle the problem of enhancing the interpretability of the results of Cluster Analy sis. Our goal is to find an explanation for each cluster, such that clusters are characterized as precisely and ...