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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

María Dolores Esteban, María José Lombardía, Esther López-Vizcaíno, Domingo Morales, & Agustín Pérez (2023). Small area estimation of average compositions under multivariate nested error regression models. TEST, 32, 651-676.

María Dolores Esteban (Operations Research Center, University Miguel Hernández of Elche), María José Lombardía (Universidade da Coruña, CITIC, A Coruña, Spain), Esther López-Vizcaíno (Instituto Galego de Estatística, Santiago de Compostela, Spain), Domingo Morales (Operations Research Center, University Miguel Hernández of Elche) y Agustín Pérez (Operations Research Center, University Miguel Hernández of Elche)
Abstract:
This paper investigates the […]

By anabel.perez, ago

Maria D. Guillen, Juan Aparicio, & Miriam Esteve (2023). Performance Evaluation of Decision-Making Units Through Boosting Methods in the Context of Free Disposal Hull: Some Exact and Heuristic Algorithms. International Journal of Information Technology & Decision Making, 1-30.

María D. Guillén (Center of Operations Research, Miguel Hernandez University of Elche), Juan Aparicio (Center of Operations Research, Miguel Hernandez University of Elche; Valencian Graduate School and Research Network of Artificial Intelligence (valgrAI) and Miriam Esteve (Center of Operations Research, Miguel Hernandez University of Elche)
Abstract:
This paper aims to show how to calculate different efficiency measures […]

By anabel.perez, 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

Miriam Esteve, Juan Aparicio, Jesus J. Rodriguez-Sala, & Joe Zhu (2023). Random Forests and the measurement of super-efficiency in the context of Free Disposal Hull. European Journal of Operational Research, 304, 729-744.

Miriam Esteve (Center of Operations Research, Miguel Hernandez University of Elche), Juan Aparicio (Center of Operations Research, Miguel Hernandez University of Elche), Jesús J. Rodríguez-Sala (Center of Operations Research, Miguel Hernandez University of Elche) and Joe Zhu (Foisie Business School, Worcester Polytechnic Institute, United States)
Abstract:
In the technical efficiency evaluation area, it may happen that many […]

By anabel.perez, 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