Now showing items 21-29 of 29

  • On the representativeness of convolutional neural networks layers 

    García Gasulla, Darío; Moreno, Jonatan; Ramos-Pollan, Raúl; Casadiegos Barrios, Romel; Béjar Alonso, Javier; Cortés García, Claudio Ulises; Ayguadé Parra, Eduard; Labarta Mancho, Jesús José; Suzumura, Toyotaro (IOS PRESS EBOOKS, 2016)
    Part of book or chapter of book
    Open Access
    Convolutional Neural Networks (CNN) are the most popular of deep network models due to their applicability and success in image processing. Although plenty of effort has been made in designing and training better discriminative ...
  • Predicting wind energy generation with recurrent neural networks 

    Manero, Jaume; Béjar Alonso, Javier; Cortés García, Claudio Ulises (Springer, 2018)
    Conference report
    Open Access
    Decarbonizing the energy supply requires extensive use of renewable generation. Their intermittent nature requires to obtain accurate forecasts of future generation, at short, mid and long term. Wind Energy generation ...
  • Recurrent inhibition in the cerebral cortex 

    Béjar Alonso, Javier; Martínez Lorenzana, Guadalupe; González Hernández, Abimael; Cortés García, Claudio Ulises; Condés Lara, Miguel (2019-03-23)
    Article
    Restricted access - publisher's policy
    Neuronal activity can be modulated by endogenous control mechanisms that either facilitate or suppress it. With this idea in mind, we attempted to evaluate and correlate spinal neuronal activity with the amplitude of ...
  • Social network data analysis for event detection 

    Garcia Gasulla, Dario; Álvarez Napagao, Sergio; Tejeda Gómez, José Arturo; Oliva Felipe, Luis Javier; Gómez Sebastià, Ignasi; Béjar Alonso, Javier; Vázquez Salceda, Javier (IOS Press, 2014)
    Conference lecture
    Open Access
    Cities concentrate enough Social Network (SN) activity to empower rich models. We present an approach to event discovery based on the information provided by three SN, minimizing the data properties used to maximize the ...
  • Spatio-temporal gait analysis based on human-smart rollator interaction 

    Cortés Martínez, Atia; Martínez Velasco, Antonio Benito; Béjar Alonso, Javier (2019)
    Article
    Open Access
    The ability to walk is typically related to several biomechanical components that are involved in the gait cycle (or stride), including free mobility of joints, particularly in the legs; coordination of muscle activity in ...
  • Strategies and algorithms for clustering large datasets: a review 

    Béjar Alonso, Javier (2013-10-28)
    External research report
    Open Access
    The exploratory nature of data analysis and data mining makes clustering one of the most usual tasks in these kind of projects. More frequently these projects come from many different application areas like biology, text ...
  • Supraspinal modulation of neuronal synchronization by nociceptive stimulation induces an enduring reorganization of dorsal horn neuronal connectivity 

    Contreras Hernández, Enrique; Chávez, Diógenes; Hernández, E.; Béjar Alonso, Javier; Martín Muñoz, Mario; Cortés García, Claudio Ulises (2018-05-01)
    Article
    Open Access
    Despite a profusion of information on the molecular and cellular mechanisms involved in the central sensitization produced by intense nociceptive stimulation, the changes in the patterns of functional connectivity between ...
  • Unsupervised feature selection by means of external validity indices 

    Béjar Alonso, Javier (2013-02-12)
    External research report
    Open Access
    Feature selection for unsupervised data is a difficult task because a reference partition is not available to evaluate the relevance of the features. Recently, different proposals of methods for consensus clustering have ...
  • Wind energy forecasting with neural networks: a literature review 

    Manero, Jaume; Béjar Alonso, Javier; Cortés García, Claudio Ulises (2018)
    Article
    Open Access
    Renewable energy is intermittent by nature and to integrate this energy into the Grid while assuring safety and stability the accurate forecasting of there newable energy generation is critical. Wind Energy prediction is ...