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  • Effects of gamification in BCI functional rehabilitation 

    Castro Cros, Martí de; Sebastian Romagosa, Marc; Rodriguez Serrano, Javier; Opisso Salleras, Eloy; Ochoa Jufré, Manel; Ortner, Rupert; Guger, Christoph; Tost Pardell, Daniela (2020-08-21)
    Article
    Open Access
    OBJECTIVE: To evaluate whether introducing gamification in BCI rehabilitation of the upper limbs of post-stroke patients has a positive impact on their experience without altering their efficacy in creating motor mental ...

  • Fusing hotel ratings and reviews with hesitant terms and consensus measures 

    Nguyen, Jennifer; Montserrat Adell, Jordi; Agell Jané, Núria; Sánchez Soler, Monica; Ruiz Vegas, Francisco Javier (2020-02-27)
    Article
    Restricted access - publisher's policy
    People have come to refer to reviews for valuable information on products before making a purchase. Digesting relevant opinions regarding a product by reading all the reviews is challenging. An automated methodology which ...

  • Application of CBR for intelligent process control of a WWTP 

    Pascual Pañach, Josep; Cugeró Escofet, Miquel Àngel; Sànchez-Marrè, Miquel; Aguiló Martos, Pere (IOS Press, 2019)
    Article
    Open Access
    This paper proposes the use of a Case-Based Reasoning (CBR) system for the control and the supervision of a real wastewater treatment plant (WWTP). A WWTP is a critical system which aims to ensure the quality of the water ...

  • 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
    Open Access
    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 ...