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Conference Object(3)
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Advances in Intelligent Systems and Computing(2)
Communications in Computer and Information Science(1)
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COVID-19 Fake News Detection Using Joint Doc2Vec and Text Features with PCA
Conference ObjectAbstract: With the current pandemic, it is imperative to stay up to date with the news and many sources contriPalabras claves:fake news, Principal Component Analysis, Text classificationAutores:Carlos Chipantiza, Hector Andres Mejia, Isidro Rafael Amaro, Jose Llumiquinga, Rigoberto Fonseca-DelgadoFuentes:googlescopusDimensionality Reduction Using PCA and CUR Algorithm for Data on COVID-19 Tests
Conference ObjectAbstract: In this paper we present the results of two well known analyses, Principal Component Analysis and CUPalabras claves:covid-19, CUR algorithm, principal components analysisAutores:Franklin José Camacho, Isidro Rafael Amaro, Marco Enríquez, Samantha NaranjoFuentes:googlescopusIdentifying Similar Groups of Countries According to the Impact of Corona Virus (COVID-19) by a Two-Layer Clustering Method
Conference ObjectAbstract: This paper presents a new clustering algorithm to identify groups of countries. First, a layer of sePalabras claves:Clustering, covid-19, K-Means, self-organizing map, Two-layer clusteringAutores:Carlos Muñoz-Moncayo, Isidro Rafael Amaro, Israel Pineda, Juan RiofríoFuentes:scopus