Listar GI-Telemática-Artigos por autor "Cacheda, Fidel"

Mostrando ítems 1-9 de 9

    • Annotated Dataset for Anomaly Detection in a Data Center with IoT Sensors 

      Vigoya, Laura; Fernández, Diego; Carneiro, Víctor; Cacheda, Fidel (MDPI AG, 2020-07-04)
      [Abstract] The relative simplicity of IoT networks extends service vulnerabilities and possibilities to different network failures exhibiting system weaknesses. Therefore, having a dataset with a sufficient number of ...

    • Distributed and Collaborative Web Change Detection System 

      Prieto Álvarez, Víctor Manuel; Álvarez Díaz, Manuel; Carneiro, Víctor; Cacheda, Fidel (ComSIS Consortium, 2015)
      [Absctract]: Search engines use crawlers to traverse the Web in order to download web pages and build their indexes. Maintaining these indexes up-to-date is an essential task to ensure the quality of search results. ...

    • Early Detection of Cyberbullying on Social Media Networks 

      López-Vizcaíno, Manuel F.; Nóvoa, Francisco; Carneiro, Víctor; Cacheda, Fidel (Elsevier BV, 2021-05)
      [Abstract] Cyberbullying is an important issue for our society and has a major negative effect on the victims, that can be highly damaging due to the frequency and high propagation provided by Information Technologies. ...

    • Early Detection of Depression: Social Network Analysis and Random Forest Techniques 

      Cacheda, Fidel; Fernández, Diego; Nóvoa, Francisco; Carneiro, Víctor (J M I R Publications, Inc., 2019-06-10)
      [Abstract] Background: Major depressive disorder (MDD) or depression is among the most prevalent psychiatric disorders, affecting more than 300 million people globally. Early detection is critical for rapid intervention, ...

    • High Order Profile Expansion to tackle the new user problem on recommender systems 

      Fernández, Diego; Formoso, Vreixo; Cacheda, Fidel; Carneiro, Víctor (Public Library of Science, 2019-11-07)
      [Abstract] Collaborative Filtering algorithms provide users with recommendations based on their opinions, that is, on the ratings given by the user for some items. They are the most popular and widely implemented algorithms ...

    • Measuring Early Detection of Anomalies 

      López-Vizcaíno, Manuel F.; Novoa, Francisco; Fernández, Diego; Cacheda, Fidel (IEEE, 2022)
      [Abstract] Early detection is a matter of growing importance in multiple domains as network security, health conditions over social network services or weather forecasts related disasters. It is not enough to make a good ...

    • Site agnostic approach to early detection of cyberbullying on social media networks 

      López-Vizcaíno, Manuel F.; Nóvoa, Francisco; Artieres, Thierry; Cacheda, Fidel (MDPI, 2023-05)
      [Abstract]: The rise in the use of social media networks has increased the prevalence of cyberbullying, and time is paramount to reduce the negative effects that derive from those behaviours on any social media platform. ...

    • Soft-404 Pages, A Crawling Problem 

      Prieto Álvarez, Víctor Manuel; Álvarez Díaz, Manuel; Cacheda, Fidel (Society for Information Organization in India, 2014-04)
      [Absctract]: During its traversal of the Web, crawler systems have to deal with multiple challenges. Some of them are related with detecting garbage content to avoid wasting resources processing it. Soft-404 pages are ...

    • Twitter: A Good Place to Detect Health Conditions 

      Prieto Álvarez, Víctor Manuel; Matos, Sergio; Álvarez Díaz, Manuel; Cacheda, Fidel; Oliveira, José Luís (PLoS, 2014-01)
      [Absctract]: With the proliferation of social networks and blogs, the Internet is increasingly being used to disseminate personal health information rather than just as a source of information. In this paper we exploit the ...