Artículos (Estadística e Investigación Operativa)
Recent Submissions
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On sparse optimal regression trees
(Elsevier, 2021-12-18)In this paper, we model an optimal regression tree through a continuous optimization problem, where a compromise between ...
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A combinatorial optimization approach to scenario filtering in portfolio selection
(Elsevier, 2022-02-05)Recent studies stressed the fact that covariance matrices computed from empirical financial time series appear to contain ...
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Automatic Eligibility of Sellers in an Online Marketplace: A Case Study of Amazon Algorithm
(MDPI, 2022-01-19)Purchase processes on Amazon Marketplace begin at the Buy Box, which represents the buy click process through which numerous ...
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Routing for unmanned aerial vehicles: Touring dimensional sets
(Elsevier, 2021-07-09)In this paper we deal with an extension of the crossing postman problem to design routes that have to visit different ...
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Unitary Owen Points in Cooperative Lot-Sizing Models with Backlogging
(MDPI, 2021-04-15)This paper analyzes cost sharing in uncapacitated lot-sizing models with backlogging and heterogeneous costs. It is assumed ...
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A Better Approach for Solving a Fuzzy Multiobjective Programming Problem by Level Sets
(MDPI, 2021-04-28)In this paper, we deal with the resolution of a fuzzy multiobjective programming problem using the level sets optimization. ...
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A New Approach to the Quality Control of Slope and Aspect Classes Derived from Digital Elevation Models
(MDPI, 2021-05-24)The usefulness of the parameters (e.g., slope, aspect) derived from a Digital Elevation Model (DEM) is limited by its ...
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Article
Flexible Log-Linear Birnbaum–Saunders Model
(MDPI, 2021-05-24)Rieck and Nedelman (1991) introduced the sinh-normal distribution. This model was built as a transformation of a N(0,1) ...
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Sparsity in optimal randomized classification trees
(ELSEVIER SCIENCE BV, 2019-12-16)Decision trees are popular Classification and Regression tools and, when small-sized, easy to interpret. Traditionally, a ...
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rs-Sparse principal component analysis: A mixed integer nonlinear programming approach with VNS
(PERGAMON-ELSEVIER SCIENCE LTD, 2013-05-03)Principal component analysis is a popular data analysis dimensionality reduction technique, aiming to project with minimum ...
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Spotting Key Members in Networks: Clustering-Embedded Eigenvector Centrality
(IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2020-11-03)Identifying key members in a social network is critical to understand the underlying system behavior. Whereas there are ...
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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 ...
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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, ...
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Solving multifacility Huff location models on networks using metaheuristic and exact approaches
(PERGAMON-ELSEVIER SCIENCE LTD, 2016-03-16)In this paper we consider multifacility Huff facility location problem on networks. First, we introduce a slight modification ...
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The determination of a "least quantile of squares regression line" for all quantiles
(Elsevier Science, 1994-09-01)Least median of squares regression has shown to be an extremely useful tool in robust regression analysis. In this note, ...
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Threshold robustness in discrete facility location problems: a bi-objective approach
(Springer, 2015-04-24)The two best studied facility location problems are the p-median problem and the uncapacitated facility location problem ...
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Undesirable facility location with minimal covering objectives
(ELSEVIER SCIENCE BV, 1999-11-19)An undesirable facility is to be located within some feasible region of any shape in the plane or on a planar network. ...
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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 ...
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On support vector machines under a multiple-cost scenario
(Springer, 2018-07-31)Support vector machine (SVM) is a powerful tool in binary classification, known to attain excellent misclassification ...
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Time series interpolation via global optimization of moments fitting
(ELSEVIER SCIENCE BV, 2013-04-16)Most time series forecasting methods assume the series has no missing values. When missing values exist, interpolation ...