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Artículo
Two-group classification via a biobjective margin maximization model
(ELSEVIER SCIENCE BV, 2006-09-16)
In this paper we propose a biobjective model for two-group classification via margin maximization, in which the margins in both classes are simultaneously maximized. The set of Pareto-optimal solutions is described, yielding ...
Artículo
Forecasting ozone threshold exceedances in urban background areas using supervised classification and easy-access information
(Elsevier, 2018)
Classification models to forecast exceedance of the ozone (O3) threshold established by European legislation are rare in literature, as is the focus on background O3, with higher concentrations at city outskirts. This ...
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
Alternating local search based VNS for linear classification
(Springer, 2010-02)
We consider the linear classification method consisting of separating two sets of points in d-space by a hyperplane. We wish to determine the hyperplane which minimises the sum of distances from all misclassified points ...
Artículo
Robust optimal classification trees under noisy labels
(Springer, 2021-10-05)
In this paper we propose a novel methodology to construct Optimal Classification Trees that takes into account that noisy labels may occur in the training sample. The motivation of this new methodology is based on the ...