Recent Submissions

  • Network neighbors of viral targets and differentially expressed genes in COVID-19 are drug target candidates 

    Zambrana, Carmen; Xenos, Alexandros; Böttcher, René; Malod-Dognin, Noël; Pržulj, Nataša (Nature, 2021-09-23)
    Article
    Open Access
    The COVID-19 pandemic is raging. It revealed the importance of rapid scientific advancement towards understanding and treating new diseases. To address this challenge, we adapt an explainable artificial intelligence algorithm ...
  • Linear functional organization of the omic embedding space 

    Xenos, Alexandros; Malod-Dognin, Noël; Milinkovi, Stevan; Pržulj, Nataša (2021-11-01)
    Article
    Open Access
    Motivation: We are increasingly accumulating complex omics data that capture different aspects of cellular functioning. A key challenge is to untangle their complexity and effectively mine them for new biomedical information. ...
  • Condition assessment of industrial gas turbine compressor using a drift soft sensor based in autoencoder 

    Castro Cros, Martí de; Rosso, Stefano; Bahilo, Edgar; Velasco García, Manel; Angulo Bahón, Cecilio (Multidisciplinary Digital Publishing Institute (MDPI), 2021-04-12)
    Article
    Open Access
    Maintenance is the process of preserving the good condition of a system to ensure its reliability and availability to perform specific operations. The way maintenance is nowadays performed in industry is changing thanks ...
  • Size & shape matters: The need of HPC benchmarks of high resolution image training for deep learning 

    Parés Pont, Ferran; Megias Montsesinos, Pedro; García Gasulla, Dario; Garcia Gasulla, Marta; Ayguadé Parra, Eduard; Labarta Mancho, Jesús José (2021-03)
    Article
    Open Access
    One of the purposes of HPC benchmarks is to identify limitations and bottlenecks in hardware. This functionality is particularly influential when assessing performance on emerging tasks, the nature and requirements of which ...
  • The organisational structure of an agent-based model for the management of wastewater systems 

    Oliva Felipe, Luis Javier; Verdaguer, Marta; Poch Espallargas, Manel; Vázquez Salceda, Javier; Cortés García, Claudio Ulises (2021-04-30)
    Article
    Open Access
    Water managers have to deal with complex problems due to the intertwined characteristics of processes, in particular those that occur in wastewater systems. Existing modelling approaches are usually centred in the physical, ...
  • 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 ...