Now showing items 1-20 of 25

  • A machine learning methodology for the selection and classification of spontaneous spinal cord dorsum potentials allows disclosure of structured (non-random) changes in neuronal connectivity induced by nociceptive stimulation 

    Martín Muñoz, Mario; Contreras-Hernández, Enrique; Béjar Alonso, Javier; Espósito, Gennaro; Chávez, Diógenes; Glusman, Silvio; Cortés García, Claudio Ulises; Rudomín, Pablo (2015-08-26)
    Article
    Open Access
  • An approach to gait analysis from human-rollator interaction: the i-Walker 

    Cortés Martínez, Atia; Ojeda, Maribel; Béjar Alonso, Javier; Martínez Velasco, Antonio Benito (Ios Press, 2018)
    Conference report
    Open Access
    Falls are one of the main causes of injury and injury-related deaths in the older demographic sector. During the last decade, several solutions have been proposed for fall detection or prevention, but also to assist old ...
  • Automatic classification of gait patterns using a smart rollator and the BOSS model 

    Ojeda, Maribel; Cortés Martínez, Atia; Béjar Alonso, Javier; Cortés García, Claudio Ulises (Association for Computing Machinery (ACM), 2018)
    Conference lecture
    Open Access
    Nowadays, the risk of falling in older adults is a major concern due to the severe consequences it brings to socio-economic and public health systems. Some pathologies cause mobility problems in the aged population, leading ...
  • A visual embedding for the unsupervised extraction of abstract semantics 

    García Gasulla, Dario; Ayguadé Parra, Eduard; Labarta Mancho, Jesús José; Béjar Alonso, Javier; Cortés García, Claudio Ulises; Suzumura, Toyotaro; Chen, R (2017-05-01)
    Article
    Open Access
    Vector-space word representations obtained from neural network models have been shown to enable semantic operations based on vector arithmetic. In this paper, we explore the existence of similar information on vector ...
  • Collaboration between human and artificial societies 

    Padget, Julián; Sierra Garcia, Carles; Cortés García, Claudio Ulises; Sànchez-Marrè, Miquel; Béjar Alonso, Javier (1997-09)
    External research report
    Open Access
    This research report is a preliminary publication of the proceedings of the European VIM project Workshop on Collaboration between Human and Artificial Societies, hold in Lanjaron (Granada), Spain, in May 1-3, . The report ...
  • Discovery of spatio-temporal patterns from location based social networks 

    Béjar Alonso, Javier; Álvarez Napagao, Sergio; Garcia Gasulla, Dario; Gómez Sebastià, Ignasi; Oliva Felipe, Luis Javier; Tejeda Gómez, José Arturo; Vázquez Salceda, Javier (IOS Press, 2014)
    Conference report
    Restricted access - publisher's policy
    Location Based Social Networks (LBSN) have become an interesting source for mining user behavior. These networks (e.g. Twitter, Instagram or Foursquare) collect spatio-temporal data from users in a way that they can be ...
  • Discovery of spatio-temporal patterns from location-based social networks 

    Béjar Alonso, Javier; Álvarez Napagao, Sergio; Garcia Gasulla, Dario; Gómez Sebastià, Ignasi; Oliva Felipe, Luis Javier; Tejeda Gómez, José Arturo; Vázquez Salceda, Javier (2015-07-20)
    Article
    Open Access
    Location Based Social Networks (LBSN) like Twitter or Instagram are a good source for user spatio-temporal behavior. These networks collect data from users in such a way that they can be seen as a set of collective and ...
  • Extracting user spatio-temporal profiles from location based social networks 

    Béjar Alonso, Javier (2014-11-14)
    External research report
    Open Access
    Location Based Social Networks (LBSN) like Twitter or Instagram are a good source for user spatio-temporal behavior. These social network provide a low rate sampling of user's location information during large intervals ...
  • Go with the flow: Recurrent networks for wind time series multi-step forecasting 

    Manero, Jaume; Béjar Alonso, Javier; Cortés García, Claudio Ulises (IOS Press, 2018)
    Conference report
    Open Access
    One of the ways of reducing the effects of Climate Change is to rely on renewable energy sources. Their intermittent nature makes necessary to obtain a mid-long term accurate forecasting. Wind Energy prediction is based ...
  • Intersegmental synchronization of spontaneous cord dorsum potentials as a clinical parameter to evaluate changes in neuronal connectivity produced by peripheral nerve and spinal cord damage 

    Martín Muñoz, Mario; Chávez, Diógenes; Béjar Alonso, Javier; Esposito, Gennaro; Rodríguez, Érika; Cortés García, Claudio Ulises; Rudomín, Pablo (Springer, 2012)
    Conference report
    Restricted access - publisher's policy
    We describe here automatic selection method to retrieve spontaneous cord dorsum potentials from the spiral cord in the anesthetized cat. Previous studies have indicated that some of these potentials appear synchronized in ...
  • Kernel alignment for identifying objective criteria from brain MEG recordings in schizophrenia 

    Martín Muñoz, Mario; Béjar Alonso, Javier; Espósito, Gennaro; Catala Roig, Neus; Cortés García, Claudio Ulises; Viñas, Ferran; Tarragó Bofarull, Josep; Rojo, Emilio; Nowak, Rafal (Elsevier, 2016-08-02)
    Article
    Restricted access - publisher's policy
    The current wide access to data from different neuroimaging techniques has permitted to obtain data to explore the possibility of finding objective criteria that can be used for diagnostic purposes. In order to decide which ...
  • K-means vs Mini Batch K-means: a comparison 

    Béjar Alonso, Javier (2013-05-17)
    External research report
    Open Access
    Mini Batch K-means (cite{Sculley2010}) has been proposed as an alternative to the K-means algorithm for clustering massive datasets. The advantage of this algorithm is to reduce the computational cost by not using all the ...
  • LINNEO+: a classification methodology for ill-structured domains 

    Béjar Alonso, Javier; Cortés García, Claudio Ulises; Poch, Manel (1993-04)
    External research report
    Open Access
    In this work we present a methodology oriented to domains with a weak structure (ill-domains) for, using inductive conceptual learning techniques (descriptive generalization) and classification, discover concepts through ...
  • Markovian analysis of the sequential behavior of the spontaneous spinal cord dorsum potentials induced by acute nociceptive stimulation in the anesthetized cat 

    Martín Muñoz, Mario; Béjar Alonso, Javier; Espósito, Gennaro; Chávez, Diógenes; Contreras-Hernández, Enrique; Glusman, Silvio; Cortés García, Claudio Ulises; Rudomín, Pablo (2017-05-01)
    Article
    Open Access
    In a previous study we developed a Machine Learning procedure for the automatic identification and classification of spontaneous cord dorsum potentials (CDPs). This study further supported the proposal that in the anesthetized ...
  • Markovian analysis reveals dynamic changes in the sequential behavior of dorsal horn neuronal activity induced by nociceptive stimulation 

    Martín Muñoz, Mario; Béjar Alonso, Javier; Esposito, Gennaro; Chávez, Diógenes; Contreras-Hernández, Enrique; Glusman, Silvio; Cortés García, Claudio Ulises; Rudomín, Pablo (2017-04)
    Article
    Open Access
    Automatic generation control (AGC) in multi-area interconnected power systems is experiencing several adaptions due to increasing level of power converter based components in the system. The concept of virtual synchronous ...
  • Mining frequent spatio-temporal patterns from location based social networks 

    Béjar Alonso, Javier (2014-10-09)
    External research report
    Open Access
    Location Based Social Networks (LBSN) like Twitter or Instagram are a good source for user spatio-temporal behavior. These social network provide a low rate sampling of user's location information during large intervals ...
  • Not-yet classification algorithm 

    Béjar Alonso, Javier; Roure, Josep (1993-09)
    External research report
    Open Access
    This report proposes a generalization of the classification algorithm introduced in LINNEO+ knowledge acquisition methodology. It attempts to avoid undesirable properties which were found in the algorithm proposed in ...
  • 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 ...