Enviaments recents

  • Environmental data stream mining through a case-based stochastic learning approach 

    Orduña Cabrera, Fernando; Sànchez-Marrè, Miquel (Elsevier, 2018-08-01)
    Article
    Accés obert
    Environmental data stream mining is an open challenge for Data Science. Common methods used are static because they analyze a static set of data, and provide static data-driven models. Environmental systems are dynamic and ...
  • Identifying health status of wind turbines by using self organizing maps and interpretation-oriented post-processing tools 

    Blanco, Alejandro; Gibert, Karina; Marti Puig, Pere; Cusido Roura, Jordi; Sole Casals, Jordi (2018-04-01)
    Article
    Accés obert
    Identifying the health status of wind turbines becomes critical to reduce the impact of failures on generation costs (between 25–35%). This is a time-consuming task since a human expert has to explore turbines individually. ...
  • A survey on pre-processing techniques: relevant issues in the context of environmental data mining 

    Gibert, Karina; Sànchez-Marrè, Miquel; Izquierdo, Joaquín (IOS Press, 2016-12)
    Article
    Accés obert
    One of the important issues related with all types of data analysis, either statistical data analysis, machine learning, data mining, data science or whatever form of data-driven modeling, is data quality. The more complex ...
  • Competency maps: An effective model to integrate professional competencies across a STEM curriculum 

    Sánchez Carracedo, Fermín; Soler Cervera, Antonia; Martín Escofet, Carme; López Álvarez, David; Ageno Pulido, Alicia; Cabré Garcia, José M.; García Almiñana, Jordi; Aranda López, Juan; Gibert, Karina (2018-10)
    Article
    Accés restringit per política de l'editorial
    Curricula designed in the context of the European Higher Education Area need to be based on both domain-specific and professional competencies. Whereas universities have had extensive experience in developing students’ ...
  • 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
    Accés restringit per política de l'editorial
    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 ...
  • A web-based platform for people with memory problems and their caregivers (CAREGIVERSPRO-MMD): Mixed-methods evaluation of usability 

    Zafeiridi, Paraskevi; Paulson, Kevin; Dunn, Rosie; Cortés García, Claudio Ulises; Barrué Subirana, Cristian; Cortés Martínez, Atia (JMIR, 2018-01)
    Article
    Accés obert
    Background: The increasing number of people with dementia (PwD) drives research exploring Web-based support interventions to provide effective care for larger populations. In this concept, a Web-based platform (CAREGIVERSPRO-MMD, ...
  • Sistema inteligente de soporte a la decisión en digestión anaerobia 

    Cugeró Escofet, Miquel Àngel; Aguiló Martos, Pere; Sáenz de Cabezón Soriano, Berta; Sànchez-Marrè, Miquel (2017-10)
    Article
    Accés obert
    Se presenta un Sistema Inteligente de Soporte a la Decisión (IDSS) con diagnosis avanzada del proceso de digestión anaerobia en tiempo real, desarrollado por el Consorci Besòs Tordera, con el objetivo de optimizar el ...
  • On the behavior of convolutional nets for feature extraction 

    Garcia-Gasulla, Dario; Pares, Ferran; Vilalta, 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 ...
  • Using ontology-based clustering to understand the push and pull factors for British tourists visiting a Mediterranean coastal destination 

    Valls, Aida; Gibert, Karina; Orellana, Alícia; Antón-Clavé, Salvador (2018-03)
    Article
    Accés restringit per decisió de l'autor
    This paper studies why British tourists decide to travel to a particular destination in a Catalan region. The analysis is based on a survey that includes open-ended questions. First, we propose the operationalization of ...
  • In-patient costs of agitation and containment in a mental health catchment area 

    Serrano-Blanco, Antoni; Rubio-Valera, Maria; Aznar, Ignacio; Baladón, Luisa; Gibert, Karina; Gracia Canales, Alfredo; Kaskens, Lisette; Ortiz, José Miguel; Salvador Carulla, Luís (2017-06-06)
    Article
    Accés obert
    Background: There is a scarce number of studies on the cost of agitation and containment interventions and their results are still inconclusive. We aimed to calculate the economic consequences of agitation events in an ...
  • ScoQAS : a semantic-based closed and open domain question answering system 

    Latifi, Majid; Rodríguez Hontoria, Horacio; Sànchez-Marrè, Miquel (2017-09-01)
    Article
    Accés obert
    Question Answering (QA) has reappeared in research activities and in companies over the past years. We present an architecture of Semantic-based closed and open domain Question Answering System (ScoQAS) over ontology ...
  • Deep learning for freezing of gait detection in Parkinson’s disease patients in their homes using a waist-worn inertial measurement unit 

    Camps, Julià; Samà Monsonís, Albert; Martín Muñoz, Mario; Rodríguez Martín, Daniel Manuel; Pérez López, Carlos; Moreno Aróstegui, Juan Manuel; Cabestany Moncusí, Joan; Català Mallofré, Andreu; Alcaine, Sheila; Mestre, Berta; Prats, Anna; Crespo, M. Cruz; Counihan, Timothy; Browne, Patrick; Quinlan, Leo R.; ÓLaighin, Gearóid; Sweeney, Dean; Lewy, Hadas; Vainstein, Gabriel; Costa, Alberto; Annicchiarico, Roberta; Bayés, Àngels; Rodríguez Molinero, Alejandro (2017-10-16)
    Article
    Accés restringit per política de l'editorial
    Among Parkinson’s disease (PD) motor symptoms, freezing of gait (FOG) may be the most incapacitating. FOG episodes may result in falls and reduce patients’ quality of life. Accurate assessment of FOG would provide objective ...

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