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salonso

Toledo, F.J., Galiano, V., Blanes, J.M., Herranz, V., Batzelis, E. (2023) "Photovoltaic single-diode model parametrization. An application to the calculus of the Euclidean distance to an I–V curve", Mathematics and Computers in Simulation,

F. Javier Toledo, Victoria Herranz (Operations Research Center, University Miguel Hernández of Elche), Vicente Galiano (Computers Engineering Department, Miguel Hernández University of Elche), Jose M. Blanes (Industrial Electronics Group, Miguel Hernández University of Elche) and Efstratios Batzelis (Electronics and Computer Science, University of Southampton)
Abstract: In this paper we provide a new parametrization of the characteristic […]

By salonso, ago

Dale, R., Lapiedra, R., Morales-Lladosa, J.A. (2023) "Cosmic primordial density fluctuations and Bell inequalities", Physical Review D, 107 (2):023506

Roberto Dale (Operations Research Center, University Miguel Hernández of Elche), Ramon Lapiedra and Juan Antonio Morales-Lladosa ( Departament d’Astronomia i Astrofísica, Universitat de València)
Abstract: The temperature measurements, T, of the perturbed cosmic microwave background, performed by the cosmic background explorer satellite (COBE), are considered. A dichotomist function, f=±1, is defined such that f=+1 if δT>0 […]

By salonso, ago

DEFENSA DE TESIS DOCTORAL: INCREMENTAL ALGORITHM FOR DECISION RULE GENERATION IN DATA STREAM CONTEXTS

DEFENSA DE TESIS DOCTORAL
Título: INCREMENTAL ALGORITHM FOR DECISION RULE GENERATION IN DATA STREAM CONTEXTS
Autora: Nuria Mollá Campello
Directores: Dr.  Antonio Ferrándiz Colmeiro (TERALCO GROUP), Dr. Alejandro Rabasa Dolado y Dr. Joaquín Sánchez Soriano (Universidad Miguel Hernández de Elche)
Fecha: Lunes 30 de enero de 2023 a las 11:00h
Lugar: Thinking Lab CIO

By salonso, ago

Bugallo, M., Esteban, M.D., Marey-Pérez, M.F., Morales, D. (2023) “Wildfire prediction using zero-inflated negative binomial mixed models: Application to Spain”, Journal of Environmental Management, 328:116788

María Bugallo, María Dolores Esteban, Domingo Morales (Operations Research Center, University Miguel Hernández of Elche) and Manuel Francisco Marey-Pérez (Universidad de Santiago de Compostela, Escuela Politécnica Superior de Ingeniería, Spain)
Abstract: Wildfires have changed in recent decades. The catastrophic wildfires make it necessary to have accurate predictive models on a country scale to organize firefighting resources. […]

By salonso, ago

Labbé, M., Landete, M., Leal, M. (2023) “Dendrograms, minimum spanning trees and feature selection”, European Journal of Operational Research

Martine Labbé (Computer Science Department, Université Libre de Bruxelles, Belgium) Mercedes Landete and Marina Leal(Operations Research Center, University Miguel Hernández of Elche) and 
Abstract: Feature selection is a fundamental process to avoid overfitting and to reduce the size of databases without significant loss of information that applies to hierarchical clustering. Dendrograms are graphical representations of hierarchical clustering […]

By salonso, ago

Valero-Carreras, D., Alcaraz, J., Landete, M. (2023) "Comparing two SVM models through different metrics based on the confusion matrix", Computers and Operations Research, 152:106131

Daniel Valero Carreras, Javier Alcaraz and Mercedes Landete (Center of Operations Research, Miguel Hernández University of Elche) 
Abstract: Support Vector Machines (SVM) are an efficient alternative for supervised classification. In the soft margin SVM model, two different objectives are optimized and the set of alternative solutions represent a Pareto-front of points, each one of them representing a […]

By salonso, ago