Ara es mostren els items 83-102 de 141

    • Health recommender system design in the context of CAREGIVERSPRO-MMD project 

      Oliva Felipe, Luis Javier; Barrué Subirana, Cristian; Cortés Martínez, Atia; Wolverson, Emma; Antomarini, Marco; Landrin, Isabelle; Votis, Konstantinos; Cortés García, Claudio Ulises (Association for Computing Machinery (ACM), 2018)
      Text en actes de congrés
      Accés obert
      CAREGIVERSPRO-MMD an EU H2020 funded project aims to build a digital platform focusing on people living with dementia and their caregivers, offering a selection of advanced, individually tailored services enabling them to ...
    • Hierarchical inference applied to Cyc 

      Garcia Gasulla, Dario; Cortés García, Claudio Ulises (IOS PRESS-ECSC, BRUXELLES, 2013)
      Text en actes de congrés
      Accés obert
      Hierarchical graphs are a frequent solution for capturing symbolic data due the importance of hierarchies for defining knowledge. In these graphs, relations among elements may contain large portions of the element’s ...
    • HSCW intelligent management 

      Garcia Gasulla, Dario; Poch, M; Nieves Sánchez, Juan Carlos; Cortés García, Claudio Ulises (Internatinal Water Association (IWA), 2011)
      Comunicació de congrés
      Accés restringit per política de l'editorial
      This work is motivated by the difficulty of representing Environmental domains in a functional way. We present a formalization approach covering both environmental and computational needs. It allows us to produce an ...
    • 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)
      Text en actes de congrés
      Accés restringit per política de l'editorial
      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
      Accés obert
      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 ...
    • Learning to solve complex tasks by reinforcement: a new algorithm 

      Martín Muñoz, Mario; Cortés García, Claudio Ulises (1995-04)
      Report de recerca
      Accés obert
      In this paper, a new approach for learning to solve complex problems by reinforcement is proposed. In order to solve complex tasks the system is guided by a teacher who previously proposes intermediate general tasks to ...
    • Legal concerns regarding AmI assisted living in the elderly, worldwide and in Romania 

      Annicchiarico, Roberta; Cortés García, Claudio Ulises; Spiru, Luiza; Stefan, Lucian; Turcu, Ileana; Ghita, Camelia; Ioancio, Ioana; Nuta, Costin; Blaciotti, Mona; Martin, Mariana (Springer Verlag, 2009-06-10)
      Text en actes de congrés
      Accés restringit per política de l'editorial
      The recent concepts developed in order to meet the specific technology-related needs of older people are “Ambient Intelligence” and "Ambient Assisted Living". The major aim of AmI is to prolong the time older people can ...
    • Link prediction in very large directed graphs: Exploiting hierarchical properties in parallel 

      Garcia Gasulla, Dario; Cortés García, Claudio Ulises (CEUR-WS.org, 2014)
      Text en actes de congrés
      Accés obert
      Link prediction is a link mining task that tries to find new edges within a given graph. Among the targets of link prediction there is large directed graphs, which are frequent structures nowadays. The typical sparsity of ...
    • LINNEO+: a classification methodology for ill-structured domains 

      Béjar Alonso, Javier; Cortés García, Claudio Ulises; Poch, Manel (1993-04)
      Report de recerca
      Accés obert
      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
      Accés obert
      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 ...
    • Metodología KDSM para el estudio de dominios poco estructurados donde se presentan medidas seriadas muy cortas repetidas con factor de bloque 

      Rodas, Jorge; Alvarado, Gabriela; Gibert, Karina; Rojo, Emilio; Cortés García, Claudio Ulises (2003-02)
      Report de recerca
      Accés obert
      El presente documento representa 2 años de trabajo con técnicas de inteligencia artificial y estadística para el análisis de medidas seriadas muy cortas repetidas. Grandes cantidades de datos se almacenan diariamente debido ...
    • Modeling argumentation based semantics using non-monotonic reasoning 

      Nieves, Juan Carlos; Cortés García, Claudio Ulises; Osorio Galindo, Mauricio (2005-12)
      Report de recerca
      Accés obert
      Argumentation theory is an alternative style of formalizing non-monotonic reasoning. It seems, argumentation theory is a suitable framework for practical and uncertain reasoning, where arguments support conclusions. Dung's ...
    • Neuropsychological impairment in post-COVID condition individuals with and without cognitive complaints 

      Ariza, Mar; Cano, Neus; Segura Fàbregas, Bàrbara; Adan Puig, Ana; Bargalló Alabart, Núria; Caldú Ferrús, Xavier; Campabadal Delgado, Anna; Jurado Luque, Maria Àngels; Mataro Serrat, Maria; Pueyo Benito, Roser; Sala Llonch, Roser; Barrué Subirana, Cristian; Béjar Alonso, Javier; Cortés García, Claudio Ulises; Junqué Plaja, Carme; Garolera Freixa, Maite (Frontiers Media, 2022-10-20)
      Article
      Accés obert
      One of the most prevalent symptoms of post-COVID condition is cognitive impairment, which results in a significant degree of disability and low quality of life. In studies with large sample sizes, attention, memory, and ...
    • Normal versus pathological cognitive aging: variability as a constraint of patients profiling for AmI design 

      Annicchiarico, Roberta; Cortés García, Claudio Ulises; Spiru, Luiza; Ghita, Camelia; Turcu, Ileana; Stefan, Lucian; Ioancio, Ioana; Nuta, Costin; Blaciotti, Mona; Martin, Mariana (Springer Verlag, 2009-06-10)
      Text en actes de congrés
      Accés restringit per política de l'editorial
      The development of supportive environments and Assistive Technology (AT) is a priority recommended by the International Plan of Action on Ageing (Madrid 2002). The first essential matter related to the creation and implementation ...
    • On the behavior of convolutional nets for feature extraction 

      Garcia-Gasulla, Dario; Parés Pont, Ferran; Vilalta Arias, Armand; Moreno, Jonatan; Ayguadé Parra, Eduard; Labarta Mancho, Jesús José; Cortés García, Claudio Ulises; Suzumura, Toyotaro (2018-03)
      Article
      Accés obert
      Deep neural networks are representation learning techniques. During training, a deep net is capable of generating a descriptive language of unprecedented size and detail in machine learning. Extracting the descriptive ...
    • 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)
      Capítol de llibre
      Accés obert
      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 ...
    • Overground walking training with the i-Walker, a robotic servo-assistive device, enhances balance in patients with subacute stroke: a randomized controlled trial 

      Morone, Giovanni; Annicchiarico, Roberta; Iosa, Marco; Federici, Alessia; Paolucci, Stefano; Cortés García, Claudio Ulises; Caltagirone, Carlo (2016-05-26)
      Article
      Accés obert
      Background: Patients affected by mild stroke benefit more from physiological overground walking training than walking-like training performed in place using specific devices. The aim of the study was to evaluate the effects ...
    • Predicting wind energy generation with recurrent neural networks 

      Manero Font, Jaume; Béjar Alonso, Javier; Cortés García, Claudio Ulises (Springer, 2018)
      Text en actes de congrés
      Accés obert
      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 ...
    • Probabilistic conditional independence: a similarity-based measure and its application to causal network learning 

      Sangüesa i Sole, Ramon; Cabós, Joan; Cortés García, Claudio Ulises (1996-06)
      Report de recerca
      Accés obert
      A new definition for similarity between possibility distributions is introduced and discussed as a basis for detecting dependence between variables by measuring the similarity degree of their respective distributions. This ...
    • ProCLAIM: An argument-based model for monitoring decisions and revising guidelines knowledge in safety-critical environments 

      Tolchinsky Landsmann, Francisco; Cortés García, Claudio Ulises (2006-06)
      Report de recerca
      Accés obert
      In this report we describe an argument-based model - ProCLAIM - for monitoring agents' decisions in safety-critical environments intended, on the one hand, to prevent agents from undertaking decisions that do not comply ...