Browsing by Author "Béjar Alonso, Javier"
Now showing items 1-20 of 41
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A visual embedding for the unsupervised extraction of abstract semantics
(2017-05-01)
Article
Open AccessVector-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
(Ios Press, 2018)
Conference report
Open AccessFalls 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 ... -
Applying generative models and transfer learning to physiological data classification
(IOS Press, 2023-11-01)
Conference report
Open AccessThe scarcity and imbalance of datasets for training deep learning models in a specific task is a common problem. This is especially true in the physiological domain where many applications use complex data collection ... -
Aprendizaje automático
(Edicions UPC, 1994)
Book
Open AccessEn este libro se introducen los conceptos básicos en una de las ramas más estudiadas actualmente dentro de la inteligencia artificial: el aprendizaje automático. Se estudian temas como el aprendizaje inductivo, el razonamiento ... -
Aprendizaje autómatico
(Asociación de Técnicos de Informática, 1998-01)
Article
Open Access -
APRENENTATGE (Examen 1r quadrim.)
(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
(Association for Computing Machinery (ACM), 2018)
Conference lecture
Open AccessNowadays, 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 ... -
Cognitive and emotional predictors of quality of life and functioning after COVID-19
(John Wiley & sons, 2024-02)
Article
Open AccessObjective: A long-term decline in health-related quality of life (HRQoL) has been reported after coronavirus disease 2019 (COVID-19). Studies with people with persistent symptoms showed inconsistent outcomes. Cognition and ... -
Cognitive reserve, depressive symptoms, obesity, and change in employment status predict mental processing speed and executive function after COVID-19
(Springer, 2024-01-29)
Article
Open AccessThe risk factors for post-COVID-19 cognitive impairment have been poorly described. This study aimed to identify the sociodemographic, clinical, and lifestyle characteristics that characterize a group of post-COVID-19 ... -
Collaboration between human and artificial societies
(1997-09)
Research report
Open AccessThis 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 ... -
COVID-19 severity is related to poor executive function in people with post-COVID conditions
(Springer Nature, 2023-01-01)
Article
Open AccessPatients with post-coronavirus disease 2019 (COVID-19) conditions typically experience cognitive problems. Some studies have linked COVID-19 severity with long-term cognitive damage, while others did not observe such ... -
Deep learning is blowing in the wind. Deep models applied to wind prediction at turbine level
(Institute of Physics (IOP), 2019)
Conference report
Open AccessWind 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
(IOS Press, 2014)
Conference report
Restricted access - publisher's policyLocation 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
(2015-07-20)
Article
Open AccessLocation 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
(2019-06-21)
Article
Open AccessTo 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 ... -
Estudio y comparación de algoritmos de superclasificación
(1993-06-25)
Research report
Open AccessEn este trabajo se expone la comparación de diferentes tipos de agrupación de clases (Superclasificación), obtenidas mediante algoritmos de agrupación conceptual (Conceptual Clustering) desarrollados en al programa LINNEO+. ... -
Extracting user spatio-temporal profiles from location based social networks
(2014-11-14)
Research report
Open AccessLocation 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 ... -
Forecastability measures that describe the complexity of a site for deep learning wind predictions
(2021-05-29)
Article
Open AccessThe application of deep learning to wind time series for multi-step prediction obtains good results at short horizons. The accuracy of a wind forecast is highly dependent on the specific structure of wind in the specific ... -
Go with the flow: Recurrent networks for wind time series multi-step forecasting
(IOS Press, 2018)
Conference report
Open AccessOne 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 ...
