Modelización, Optimización e Inferencia Estadística (MODES): Envíos recentes
Mostrando ítems 6-10 de 164
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Bootstrap-based statistical inference for linear mixed effects under misspecifications
(Elsevier, 2024)[Abstract]: Linear mixed effects are considered excellent predictors of cluster-level parameters in various domains. However, previous research has demonstrated that their performance is affected by departures from model ... -
CABRA: Clustering algorithm based on regular arrangement
(Elsevier, 2024)[Abstract]: Clustering is an unsupervised learning technique for organizing complex datasets into coherent groups. A novel clustering algorithm is presented, with a simple grouping concept depending on only one hyperparameter, ... -
Captación de talento con criterios del hrs4r. El programa Intalent
(Asociación Española de Psicología Conductual, 2019) -
Nuevo paradigma de big data en la era de la industria 4.0
(Colegio Oficial de Terapeutas Ocupaciones de Galicia, 2018-05-31)[Resumen]:Entre los cambios de paradigma que está suponiendo la llamada cuarta revolución industrial, también llamada Industria 4.0, se encuentra que los ciudadanos tenemos que convivir en un mundo cada vez más controlado ... -
Building-Scale Wastewater-Based Epidemiology for SARS-CoV-2 Surveillance at Nursing Homes in A Coruña, Spain
(MDPI, 2023-11)[Abstract] Wastewater-based epidemiology (WBE) has become an effective tool in the surveillance of infectious diseases such as COVID-19. In this work, we performed a brief study of monitoring the SARS-CoV-2 viral load ...