Recent Submissions

  • 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 ...
  • 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 ...
  • 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, ...
  • 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. ...
  • 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 ...

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