Listar GI-Telemática-Artigos por título

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    • A Workflow Language for Web Automation 

      Montoto, Paula; Pan Bermúdez, Carlos Alberto; Raposo Santiago, Juan; Losada Pérez, José; Bellas Permuy, Fernando; Carneiro, Víctor (Graz University of Technology, 2008-06-01)
      [Abstract]: Most today s web sources do not provide suitable interfaces for software programs to interact with them. Many researchers have proposed highly effective techniques to address this problem. Nevertheless, ad-hoc ...

    • 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 ...

    • Application of machine learning algorithms for the validation of a new CoAP-IoT anomaly detection dataset 

      Vigoya, Laura; Pardal Noya, Alberto; Fernández, Diego; Carneiro, Víctor (MDPI, 2023-04)
      [Abstract]: With the rise in smart devices, the Internet of Things (IoT) has been established as one of the preferred emerging platforms to fulfil their need for simple interconnections. The use of specific protocols such ...

    • 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, ...

    • Efficient execution of web navigation sequences 

      Losada Pérez, José; Raposo Santiago, Juan; Pan Bermúdez, Carlos Alberto; Montoto, Paula (Springer, 2014)
      [Abstract]: Web automation applications are widely used for different purposes such as B2B integration and automated testing of web applications. Most current systems build the automatic web navigation component by using ...

    • Gaia Data Release 3: Catalogue validation 

      Babusiaux, C.; Álvarez, M. A.; Dafonte, Carlos; Manteiga, Minia; Santoveña, Raúl; Torralba Elipe, Guillermo (EDP Sciences, 2023-06)
      [Abstract]: Context. The third Gaia data release (DR3) provides a wealth of new data products. The early part of the release, Gaia EDR3, already provided the astrometric and photometric data for nearly two billion sources. ...

    • 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 ...

    • IoT Dataset Validation Using Machine Learning Techniques for Traffic Anomaly Detection 

      Vigoya, Laura; Fernández, Diego; Carneiro, Víctor; Nóvoa, Francisco (MDPI, 2021)
      [Abstract] With advancements in engineering and science, the application of smart systems is increasing, generating a faster growth of the IoT network traffic. The limitations due to IoT restricted power and computing ...

    • 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 ...