Mostrando 4 resultados de: 4
Subtipo de publicación
Article(4)
Área temáticas
Medicina y salud(2)
Probabilidades y matemática aplicada(2)
Enfermedades(1)
Tecnología (Ciencias aplicadas)(1)
An artificial-vision- And statistical-learning-based method for studying the biodegradation of type I collagen scaffolds in bone regeneration systems
ArticleAbstract: This work proposes a method based on image analysis and machine and statistical learning to model anPalabras claves:Biomaterials, Colagen type I, image segmentation, Osteocytes, random forest, Statistical learning, stem cellsAutores:Daniel Calle-López, Díaz-Prado S., Luis Garzon, Naya S., Sanjurjo-Rodríguez C., Tarrío-Saavedra J., Vladimir Robles-Bykbaev, Yaroslava Robles-BykbaevFuentes:googlescopusILS: An R package for statistical analysis in Interlaboratory Studies
ArticleAbstract: In this paper we present an R package with routines to perform Interlaboratory Studies (ILS). The aiPalabras claves:Bootstrap, Data depth, functional data analysis, Interlaboratory studies, outlier detection, R SoftwareAutores:Fernández-Casal R., Miguel Flores, Naya S., Roberto Bossano, Tarrío-Saavedra J.Fuentes:googlescopusLocal Correlation Integral Approach for Anomaly Detection Using Functional Data
ArticleAbstract: The present work develops a methodology for the detection of outliers in functional data, taking intPalabras claves:Anomaly detection, FDA, Hilbert space, LOCI, outlier detectionAutores:Jorge R. Sosa Donoso, Miguel Flores, Naya S., Tarrío-Saavedra J.Fuentes:scopusRobust bootstrapped Mandel's h and k statistics for outlier detection in interlaboratory studies
ArticleAbstract: This study proposes the use of the bootstrap methodology to estimate the distribution of the Mandel'Palabras claves:Bootstrap, ILS, Nonparametric statistics, outlier detectionAutores:Génesis Moreno, Miguel Flores, Naya S., Solórzano, Cristian, Tarrío-Saavedra J.Fuentes:googlescopus