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A Review of Classification Problems and Algorithms in Renewable Energy Applications
(MDPI, 2016)
Classification problems and their corresponding solving approaches constitute one of the
fields of machine learning. The application of classification schemes in Renewable Energy (RE) has
gained significant attention in ...
Herramienta Autor para la Gestión de Tests Informatizados dentro del Sistema AHA!
(Universidad de Castilla-La Mancha, Escuela Superior de Informática, 2006)
En este artículo presentamos Test Editor, una herramienta autor para la construcción de test
informatizados, tanto clásicos como adaptativos, a través del Web. Esta herramienta facilita el desarrollo y
mantenimiento de ...
A guided data projection technique for classi cation of sovereign ratings: the case of European Union 27
(2017-01-20)
Sovereign rating has had an increasing importance since the beginning of the
nancial crisis. However, credit rating agencies opacity has been criticised by
several authors highlighting the suitability of designing more ...
Crossroads in Liver Transplantation: Is Artificial Intelligence the Key to Donor–Recipient Matching?
(MDPI, 2022)
Liver transplantation outcomes have improved in recent years. However, with the emergence of expanded donor criteria, tools to better assist donor–recipient matching have become necessary. Most of the currently proposed ...
Unimodal regularisation based on beta distribution for deep ordinal regression
(Elsevier, 2022)
Currently, the use of deep learning for solving ordinal classification problems, where categories follow a natural order, has not received much attention. In this paper, we propose an unimodal regularisation based on the ...
A hybrid dynamic exploitation barebones particle swarm optimisation algorithm for time series segmentation
(Elsevier, 2019)
This paper proposes new methods based on time series segmentation, including the adaptation of the particle swarm optimisation algorithm (PSO) to this problem, and more advanced PSO versions, such as barebones PSO (BBPSO) ...
An Extended Approach of a Two-Stage Evolutionary Algorithm in Artificial Neural Networks for Multiclassification Tasks
(Springer, 2016)
This chapter considers a recent algorithm to add broader diversity at the beginning of the evolutionary process and extends it to sigmoidal neural networks. A simultaneous evolution of architectures and weights is performed ...
A two-stage algorithm in evolutionary product unit neural networks for classification
(Elsevier, 2011)
This paper presents a procedure to add broader diversity at the beginning of the evolutionary process. It consists of creating two initial populations with different parameter settings, evolving them for a small number of ...