Recent Submissions

  • 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 ...
  • 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 ...
  • 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, ...

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