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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 ...
Artículo
A mathematical programming approach to SVM-based classification with label noise
(ScienceDirect, 2022-08-30)
In this paper we propose novel methodologies to optimally construct Support Vector Machine-based classifiers that take into account that label noise occur in the training sample. We propose different alternatives based on ...
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 ...