Now showing items 1-9 of 9

    • A computational system for the Heuristic Forecasting of Fire Risk 

      Moret-Bonillo, Vicente; Cabrero-Canosa, Mariano; Mosqueira-Rey, Eduardo; Carballal Mato, Elena; Piñeiro, M.; Kolev, S.; Galiñares, A.V.; Paz Andrade, M.J.; Carballas, Tarsy (International Institute of Informatics and Systemics, 2002-07)
      This article describes a computational system which forecasts the potential risk of forest fires, by processing a set of meteorological variables so as to produce a fire weather risk index. The system also studies a set ...
    • A convolutional network for the classification of sleep stages 

      Fernández-Varela, Isaac; Hernández-Pereira, Elena; Moret-Bonillo, Vicente (M D P I AG, 2018-09-14)
      [Abstract] The classification of sleep stages is a crucial task in the context of sleep medicine. It involves the analysis of multiple signals thus being tedious and complex. Even for a trained physician scoring a whole ...
    • A Machine Learning Solution for Distributed Environments and Edge Computing 

      Penas-Noce, Javier; Fontenla-Romero, Óscar; Guijarro-Berdiñas, Bertha (M D P I AG, 2019-08-09)
      [Abstract] In a society in which information is a cornerstone the exploding of data is crucial. Thinking of the Internet of Things, we need systems able to learn from massive data and, at the same time, being inexpensive ...
    • Anomaly Detection in IoT: Methods, Techniques and Tools 

      Vigoya Morales, Laura Victoria; López-Vizcaíno, Manuel; Fernández Iglesias, Diego; Carneiro Díaz, Víctor Manuel (M D P I AG, 2019-07-22)
      [Abstract] Nowadays, the Internet of things (IoT) network, as system of interrelated computing devices with the ability to transfer data over a network, is present in many scenarios of everyday life. Understanding how ...
    • Automatic detection of EEG arousals 

      Fernández-Varela, Isaac; Hernández-Pereira, Elena; Álvarez-Estévez, Diego; Moret-Bonillo, Vicente (ESANN, 2016-04-27)
      [Abstract] Fragmented sleep is commonly caused by arousals that can be detected with the observation of electroencephalographic (EEG) signals. As this is a time consuming task, automatization processes are required. ...
    • Feature selection with limited bit depth mutual information for embedded systems 

      Morán-Fernández, Laura; Bolón-Canedo, Verónica; Alonso-Betanzos, Amparo (M D P I AG, 2018-09-17)
      [Abstract] Data is growing at an unprecedented pace. With the variety, speed and volume of data flowing through networks and databases, newer approaches based on machine learning are required. But what is really big in Big ...
    • GenEs: una plataforma para la generación, realización y evaluación de exámenes 

      Cabrero-Canosa, Mariano; Acha Aller, Santiago X. (Thomson-Paraninfo, 2006)
      Este artículo describe una herramienta de entorno web que asiste al profesor en la tarea completa de la evaluación: desde la fase de composición del examen, seleccionando aleatoriamente un conjunto representativo de ...
    • Interpretable market segmentation on high dimension data 

      Eiras-Franco, Carlos; Guijarro-Berdiñas, Berta; Alonso-Betanzos, Amparo; Bahamonde, Antonio (M D P I AG, 2018-09-17)
      [Abstract] Obtaining relevant information from the vast amount of data generated by interactions in a market or, in general, from a dyadic dataset, is a broad problem of great interest both for industry and academia. Also, ...
    • Usability heuristics for domain-specific languages (DSLs) 

      Mosqueira-Rey, Eduardo; Alonso-Ríos, David (ACM, 2020-03-30)
      [Abstract] The usability of Domain-Specific Languages (DSLs) has been attracting considerable interest from researchers lately. In particular, our literature review found many usability studies that make use of subjective ...