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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 ...
Tesis Doctoral
New Advances In Data Science Problems Through Hyperplanes Location
(2022-06-02)
This thesis dissertation focus on developing new approaches for different Data Science problems from a Location Theory perspective. In particular, we concentrate on locating hyperplanes by means of solving Mixed Integer ...
Artículo
Optimal arrangements of hyperplanes for SVM-based multiclass classification
(Springer, 2019-07)
In this paper, we present a novel approach to construct multiclass classifiers by means of arrangements of hyperplanes. We propose different mixed integer (linear and non linear) programming formulations for the problem ...