Listar por autor "Cacheda, Fidel"

Mostrando ítems 1-19 de 19

    • A Content-Based Approach to Profile Expansion 

      Fernández, Diego; Formoso, Vreixo; Cacheda, Fidel; Carneiro, Víctor (World Scientific, 2020-12)
      [Abstract]: Collaborative Filtering algorithms suffer from the so-called cold-start problem. In particular, when a user has rated few items, recommendations offered by these algorithms are not too accurate. Profile Expansion ...

    • 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 ...

    • Arquitectura de datos avanzada de un directorio web, con optimización de consultas restringidas a una zona del grafo de categorías 

      Cacheda, Fidel (2002)
      [Resumen] Desde su origen, el World Wide Web ha sufrido un crecimiento exponencial que ha generado un gran volumen de información heterogénea accesible para cualquier usuario, Esto ha llevado a la utilización de ...

    • Auditoría Wi-Fi basada en placas de bajo coste 

      Otero Dans, Anxo; Dafonte, Carlos; Fernández, Diego; Cacheda, Fidel; López-Vizcaíno, Manuel F.; Nóvoa, Francisco (Universidade da Coruña, 2021)
      [Resumen]: En la actualidad, el uso de redes inalámbricas crece exponencialmente en entornos empresariales de todo tipo. Si bien es cierto que existen una gran cantidad de soluciones en el ámbito de auditoría de redes ...

    • Un concurso de cortos para el refuerzo pedagógico y la mejora de la participación del alumnado 

      Fernández, Diego; Cacheda, Fidel; Nóvoa, Francisco; Carneiro, Víctor (2018)
      [Resumen] En la asignatura de Redes del Grado en Ingeniería Informática de la Universidade da Coruña se explican los fundamentos de la comunicación a través de una red de computadores. Para incentivar la participación ...

    • Data-Driven Early Academic Intervention: Harnessing AI for Students Achievement 

      Cacheda, Fidel; López-Vizcaíno, Manuel F.; Fernández, Diego; Carneiro, Víctor (International Journal of Information and Education Technology, 2024)
      [Abstract]: In the dynamic landscape of higher education, the timely identification and mitigation of factors contributing to academic failure among university students are paramount for fostering academic success and ...

    • 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, ...

    • Early Intrusion Detection for OS Scan Attacks 

      López-Vizcaíno, Manuel F.; Nóvoa, Francisco; Fernández, Diego; Carneiro, Víctor; Cacheda, Fidel (Institute of Electrical and Electronics Engineers Inc., 2019-09)
      [Abstract]: Network Intrusion Detection Systems (NIDS) are concerned with the discovery of unauthorized accesses to computer networks by analyzing the traffic in order to detect malicious activity. In the event of an ...

    • 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 ...

    • Semantic Hierarchical Classification Applied to Anomaly Detection Using System Logs with a BERT Model 

      Corbelle, Clara; Carneiro, Víctor; Cacheda, Fidel (MDPI, 2024-06)
      [Abstract]: The compaction and structuring of system logs facilitate and expedite anomaly and cyberattack detection processes using machine-learning techniques, while simultaneously reducing alert fatigue caused by false ...

    • 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 ...

    • The Evolution of the (Hidden) Web and its Hidden Data 

      Álvarez Díaz, Manuel; Prieto Álvarez, Víctor Manuel; Cacheda, Fidel (IGI Global, 2015)
      This paper presents an analysis of the most important features of the Web and its evolution and implications on the tools that traverse it to index its content to be searched later. It is important to remark that some of ...

    • Time Aware F-Score for Cybersecurity Early Detection Evaluation 

      López-Vizcaíno, Manuel F.; Novoa, Francisco; Fernández, Diego; Cacheda, Fidel (MDPI, 2024-01)
      [Abstract]: With the increase in the use of Internet interconnected systems, security has become of utmost importance. One key element to guarantee an adequate level of security is being able to detect the threat as soon ...

    • Time-Aware Detection Systems 

      López-Vizcaíno, Manuel F.; Vigoya, Laura; Cacheda, Fidel; Nóvoa, Francisco (MDPI AG, 2019-08-05)
      [Abstract] Communication network data has been growing in the last decades and with the generalisation of the Internet of Things (IoT) its growth has increased. The number of attacks to this kind of infrastructures have ...

    • 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 ...