Recent Submissions

  • Game-based Learning vs Gamification: A Hands-On 

    Farreras Esclusa, Montserrat; Armengol Cebrian, Jesús; Bofill, Pau; Hernández Gómez, M. Angeles (Pennsylvania Association of Environmental Educators (PAEE), 2022)
    Conference report
    Open Access
    An example of gamification is a contest where students get points for solving the usual exercises of the subject matter. An example of game-based learning is an escape room where students get involved in studying and solving ...
  • Panel: Software development methods in the IoT-laden, AI/ML-driven era 

    Marco Gómez, Jordi (Institute of Electrical and Electronics Engineers (IEEE), 2022)
    Conference report
    Restricted access - publisher's policy
    The growing of Internet of Things (IoT) driven with rapid advances in Artificial Intelligence (AI) with special emphasis in Machine Learning (ML) techniques herald a new era of software systems. As we enter this new era ...
  • Bateria de afasias Western. Cuaderno de estímulos en castellano. 

    Zaragoza Cortés, Maite; Diéguez-Vide, Faustino; Gómez Ruiz, María Isabel; Rosell Clarí, Vicent; Catala Roig, Neus; Baixeries i Juvillà, Jaume; Hernández Fernández, Antonio (2022-09)
    Research report
    Restricted access - publisher's policy
    Quadern d'estímuls de la bateria d'afàsies Western adaptat per a la llengua castellana. Pensat per a passar a pacients amb afàsia. Es pot aplicar per a controls monolingües en l'estudi en contextos bilingües.
  • On the generalized dimension and codimension of simple games 

    Molinero Albareda, Xavier; Riquelme Csori, Fabián; Roura Ferret, Salvador; Serna Iglesias, María José (2022-07-29)
    Article
    Restricted access - publisher's policy
    Weighted voting games are simple games that can be represented by a collection of integer weights for each player so that a coalition wins if the sum of the player weights matches or exceeds a given quota. It is known that ...
  • Interpretable prediction of mortality in liver transplant recipients based on machine learning 

    Zhang, Xiao; Gavaldà Mestre, Ricard; Baixeries i Juvillà, Jaume (Elsevier, 2022-12)
    Article
    Restricted access - publisher's policy
    Background: Accurate prediction of the mortality of post-liver transplantation is an important but challenging task. It relates to optimizing organ allocation and estimating the risk of possible dysfunction. Existing risk ...
  • Relating real and synthetic social networks through centrality measures 

    Blesa Aguilera, Maria Josep; Popa, Mihail Eduard; Serna Iglesias, María José (Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2022)
    Conference report
    Open Access
    We perform here a comparative study on the behaviour of real and synthetic social networks with respect to a selection of nine centrality measures. Some of them are topology based (degree, closeness, betweenness), while ...
  • A reinforcement learning path planning approach for range-only underwater target localization with autonomous vehicles 

    Masmitjà Rusiñol, Ivan; Martín Muñoz, Mario; Katija, Kakani; Gomáriz Castro, Spartacus; Navarro Bernabé, Joan (Institute of Electrical and Electronics Engineers (IEEE), 2022)
    Conference report
    Open Access
    Underwater target localization using range-only and single-beacon (ROSB) techniques with autonomous vehicles has been used recently to improve the limitations of more complex methods, such as long baseline and ultra-short ...
  • Testing reinforcement learning explainability methods in a multi-agent cooperative environment 

    Domènech Vila, Marc; Gnatyshak, Dmitry; Tormos Llorente, Adrián; Álvarez Napagao, Sergio (IOS Press, 2022)
    Conference report
    Open Access
    The adoption of algorithms based on Artificial Intelligence (AI) has been rapidly increasing during the last years. However, some aspects of AI techniques are under heavy scrutiny. For instance, in many cases, it is not ...
  • Focus and bias: will it blend? 

    Arias Duart, Anna; Parés Pont, Ferran; Giménez Ábalos, Víctor; Garcia Gasulla, Dario (IOS Press, 2022)
    Conference report
    Open Access
    One direct application of explainable AI feature attribution methods is to be used for detecting unwanted biases. To do so, domain experts typically have to review explained inputs, checking for the presence of unwanted ...
  • Optimizing online time-series data imputation through case-based reasoning 

    Pascual Pañach, Josep; Sànchez-Marrè, Miquel; Cugueró Escofet, Miquel Àngel (IOS Press, 2022)
    Conference report
    Open Access
    When working with Intelligent Decision Support Systems (IDSS), data quality could compromise decisions and therefore, an undesirable behaviour of the supported system. In this paper, a novel methodology for time-series ...
  • Memory limitations are hidden in grammar 

    Gómez Rodríguez, Carlos; Christiansen, Morten H.; Ferrer Cancho, Ramon (2022)
    Article
    Open Access
    The ability to produce and understand an unlimited number of different sentences is a hallmark of human language. Linguists have sought to define the essence of this generative capacity using formal grammars that describe ...
  • Long short-term memory to predict 3D amino acids positions in GPCR molecular dynamics 

    López Correa, Juan Manuel; König, Caroline; Vellido Alcacena, Alfredo (IOS Press, 2022)
    Conference report
    Open Access
    G-Protein Coupled Receptors (GPCRs) are a big family of eukaryotic cell transmembrane proteins, responsible for numerous biological processes. From a practical viewpoint around 34% of the drugs approved by the US Food and ...

View more