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  • Interoperating data-driven and model-driven techniques for the automated development of intelligent environmental decision support systems 

    Pascual Pañach, Josep; Cugueró Escofet, Miquel Àngel; Sànchez-Marrè, Miquel (Elsevier, 2021-06)
    Article
    Restricted access - publisher's policy
    This paper proposes an Intelligent Decision Support (IDS) methodology based on the integration of a data-driven technique —Case Based Reasoning (CBR)— and model-driven technique —Rule Based Reasoning (RBR)— for control, ...

  • Forecastability measures that describe the complexity of a site for deep learning wind predictions 

    Manero Font, Jaume; Béjar Alonso, Javier (2021-05-29)
    Article
    Open Access
    The 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 ...

  • Real-time emotion classification using EEG data stream in e-learning contexts 

    Arijit, Nandi; Xhafa Xhafa, Fatos; Subirats, Laia; Fort, Santi (Multidisciplinary Digital Publishing Institute (MDPI), 2021-02-25)
    Article
    Open Access
    In face-to-face and online learning, emotions and emotional intelligence have an influence and play an essential role. Learners’ emotions are crucial for e-learning system because they promote or restrain the learning. ...

  • 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
    Open Access
    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 ...