Now showing items 1-20 of 30

    • 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
    • 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 ...
    • 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 ...
    • Aprendizaje autómatico 

      Béjar Alonso, Javier; Cortés García, Claudio Ulises; Sànchez-Marrè, Miquel (Asociación de Técnicos de Informática, 1998-01)
      Article
      Open Access
    • APRENENTATGE (Examen 1r quadrim.) 

      Béjar Alonso, Javier (Universitat Politècnica de Catalunya, 2002-01-23)
      Exam
      Restricted access to the UPC academic community
    • 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 ...
    • 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 ...
    • Deep learning is blowing in the wind. Deep models applied to wind prediction at turbine level 

      Manero Font, Jaume; Béjar Alonso, Javier; Cortés García, Claudio Ulises (Institute of Physics (IOP), 2019)
      Conference report
      Open Access
      Wind Energy generation depends on the existence of wind, a meteorological phenomena intermittent by nature, with the consequence of generating uncertainty on the availability of wind energy in the future. The grid stability ...
    • 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 ...
    • “Dust in the wind...”, deep learning application to wind energy time series forecasting 

      Manero Font, Jaume; Béjar Alonso, Javier; Cortés García, Claudio Ulises (2019-06-21)
      Article
      Open Access
      To balance electricity production and demand, it is required to use different prediction techniques extensively. Renewable energy, due to its intermittency, increases the complexity and uncertainty of forecasting, and the ...
    • 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 ...
    • 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 ...
    • 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
      Open Access
      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 ...
    • 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 ...
    • 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 ...