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The following results are related to COVID-19. Are you interested to view more results? Visit OpenAIRE - Explore.
6 Research products, page 1 of 1

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  • COVID-19

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  • Open Access English
    Authors: 
    Perdomo, Luciano; Ordinez, Leonardo;
    Country: Argentina

    In Argentina there was a great growth of e-commerce due to the COVID-19 pandemic. With the aim of helping local companies to understand the market and help them in decision making, data were obtained from online shoe sales sites and with them Machine Learning models wer...

  • Open Access English
    Authors: 
    Alvarado, Yoselie; Rodríguez, Graciela; Jofré, Nicolás; Fernández, Jacqueline; Guerrero, Roberto A.;
    Country: Argentina

    Some time ago Virtual Reality and Augmented Reality were exclusively devoted to the gaming industry. Nowadays, both technologies are experiencing a deep interest from various spheres, including healthcare sector. The new infectious disease COVID-19 has had a catastrophi...

  • Open Access English
    Authors: 
    Bellassai, Juan C.; Madoery, Pablo G.; Detke, Ramiro; Blanco, Lucas; Comerci, Sandro; Marattin, María S.; Fraire, Juan; González Montoro, Aldana; Britos,Grisel; Ojeda, Silvia; +1 more
    Country: Argentina

    In the context of COVID-19, contact tracing has shown its value as a tool for contention of the pandemic. In addition to its paper based form, contact tracing can be carried out in a more scalable and faster way by using digital apps. Mobile phones can record digital si...

  • Open Access English
    Authors: 
    Toledo Margalef, Pablo; Balcazar, Emanuel; Ordinez, Leonardo; Delrieux, Claudio; Allende, Lucila;
    Country: Argentina

    The present work exposes preliminary results on utilizing web scraping and data mining techniques to analyze news articles published during the COVID-19 pandemic in the Chubut province. Analysis of extracted articles was made using Latent Dirichlet Allocation obtaining ...

  • Open Access English
    Authors: 
    Rosati, Germán; Domenech, Laia; Chazarreta, Adriana Silvina; Maguire, Tomás;
    Country: Argentina

    We present a first approximation to the quantification of social representations about the COVID-19, using news comments. A web crawler was developed to construct the dataset of reader’s comments. We detect relevant topics in the dataset using Latent Dirichlet Allocatio...

  • Open Access English
    Authors: 
    Díaz, Francisco Javier; D'Agostino, Sandra; Molinari, Lía Hebe; Osorio, Alejandra; Amadeo, Ana Paola; Vaena, Rubén Abel;
    Country: Argentina

    The Phone Line 148 (in spanish, Centro de Atencion Integral Telefonica-linea 148, CAIT) of the de Government of Province of Buenos Aires (Argentina) is the telephone communication channel with citizens for consultations about general provincial procedures. During the CO...