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Mostrando ítems 1-10 de 17
Artículo
An extremal problem with applications to renewable energy production
(EDP Sciences, 2021)
Dynamic optimisation provides complex challenges for optimal solution, but greatly increases applicability when considering time dependent situations. In this work, a constrained dynamic optimisation problem is analysed ...
Artículo
Analysis of an aggregate loss model in a Markov renewal regime
(ELSEVIER SCIENCE INC, 2020-12-22)
In this article we consider an aggregate loss model with dependent losses. The loss oc- currence process is governed by a two-state Markovian arrival process ( MAP 2 ), a Markov renewal process that allows for (1) correlated ...
Artículo
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 prediction accuracy and both types of sparsity, namely local and global, is sought. Our approach can ...
Tesis Doctoral
New models and methods for classification and feature selection. a mathematical optimization perspective
(2021-07-27)
The objective of this PhD dissertation is the development of new models for Supervised Classification and Benchmarking, making use of Mathematical Optimization and Statistical tools. Particularly, we address the fusion ...
Tesis Doctoral
Enhancing Classification and Regression Tree-Based Models by means of Mathematical Optimization
(2022-12-19)
This PhD dissertation bridges the disciplines of Operations Research and Machine Learning by developing novel Mathematical Optimization formulations and numerical solution approaches to build classification and regression ...
Artículo
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 several measures designed to discern the most central member, they fail to identify a central set of ...
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
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 ...
Tesis Doctoral
Computational Methods for the Analysis of Complex Data
(2021-07-07)
This PhD dissertation bridges the disciplines of Operations Research and Statistics to develop novel computational methods for the extraction of knowledge from complex data. In this research, complex data stands for ...
Artículo
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 instants and certain time intervals may play a crucial role in the data analysis. We develop a method ...