Recent Submissions

  • Programación de dispositivos móviles: una propuesta docente adaptada a un entorno híbrido 

    Pérez Poch, Antoni (Asociación de Enseñantes Universitarios de la Informática (AENUI), 2021)
    Conference lecture
    Open Access
    Se presenta una experiencia docente destinada a la enseñanza de Programación de Dispositivos Móviles en un entorno universitario de Grados de Ingeniería distintos al de Informática en el curso 2020/21. Se ha realizado el ...
  • Decision levels are stable: towards better SAT heuristics 

    Nieuwenhuis, Robert Lukas Mario; Lozano Navarro, Adrián; Oliveras Llunell, Albert; Rodríguez Carbonell, Enric (EasyChair Publications, 2020)
    Conference report
    Restricted access - publisher's policy
    We shed new light on the Literal Block Distance (LBD) and glue-based heuristics used in current SAT solvers. For this, we first introduce the concept of stickiness: given a run of a CDCL SAT solver, for each pair of literals ...
  • Structure and complexity of bag consistency 

    Atserias, Albert; Kolaitis, Phokion (Association for Computing Machinery (ACM), 2021)
    Conference report
    Open Access
    Since the early days of relational databases, it was realized that acyclic hypergraphs give rise to database schemas with desirable structural and algorithmic properties. In a by-now classical paper, Beeri, Fagin, Maier, ...
  • Real-time multimodal emotion classification system in E-Learning context 

    Arijit, Nandi; Xhafa Xhafa, Fatos; Subirats Maté, Laia; Fort, Santiago (Springer, 2021)
    Conference report
    Restricted access - publisher's policy
    Emotions of learners are crucial and important in e-learning as they promote learning. To investigate the effects of emotions on improving and optimizing the outcomes of e-learning, machine learning models have been proposed ...
  • Incentive mechanism for mobile crowdsensing in spatial information prediction using machine learning 

    Shinkuma, Ryoichi; Rieko, Takagi; Inagaki, Yuichi; Oki, Eiji; Xhafa Xhafa, Fatos (Springer, 2020)
    Conference report
    Restricted access - publisher's policy
    Real-time prediction of spatial information such as road-traffic-related information has attracted much attention. Mobile crowdsensing (MCS), in which mobile user devices such as smartphones equipped with sensors work as ...
  • Multilingual machine translation: Closing the gap between shared and language-specific encoder-decoders 

    Escolano Peinado, Carlos; Ruiz Costa-Jussà, Marta; Rodríguez Fonollosa, José Adrián; Artetxe Zurutuza, Mikel (Association for Computational Linguistics, 2021)
    Conference lecture
    Open Access
    State-of-the-art multilingual machine translation relies on a universal encoder-decoder, which requires retraining the entire system to add new languages. In this paper, we propose an alternative approach that is based on ...
  • Integrating adaptive mechanisms into mobile applications exploiting user feedback 

    Motger de la Encarnación, Joaquim; Franch Gutiérrez, Javier; Marco Gómez, Jordi (Springer, 2021)
    Conference lecture
    Open Access
    Mobile applications have become a commodity in multiple daily scenarios. Their increasing complexity has led mobile software ecosystems to become heterogeneous in terms of hardware specifications, features and context of ...
  • RESim - Automated detection of duplicated requirements in software engineering projects 

    Motger de la Encarnación, Joaquim; Palomares Bonache, Cristina; Marco Gómez, Jordi (CEUR-WS.org, 2020)
    Conference report
    Open Access
    Collaborative software development experience in recent years proves that the management of large sets of requirements has become a critical issue. Among the main problems of requirements engineering, the detection and ...
  • The TALP-UPC system for the WMT similar language task: statistical vs neural machine translation 

    Biesialska, Magdalena Marta; Guàrdia Fernández, Lluís; Ruiz Costa-Jussà, Marta (Association for Computational Linguistics, 2019)
    Conference lecture
    Open Access
    Although the problem of similar language translation has been an area of research interest for many years, yet it is still far from being solved. In this paper, we study the performance of two popular approaches: statistical ...
  • TALP at eHealth-KD Challenge 2020: Multi-level recurrent and convolutional neural networks for joint classification of key-phrases and relations 

    Medina Herrera, Salvador; Turmo Borras, Jorge (CEUR-WS.org, 2020)
    Conference report
    Open Access
    This article describes the model presented by the TALP Team to IberLEF’s eHealth Knowledge Discovery 2020 shared task[1]. The model iterates over the idea of using a single model for simultaneously identify key-phrases and ...
  • Refinement of unsupervised cross-lingual word embeddings 

    Biesialska, Magdalena Marta; Ruiz Costa-Jussà, Marta (Ios Press, 2020)
    Conference lecture
    Open Access
    Cross-lingual word embeddings aim to bridge the gap between high-resource and low-resource languages by allowing to learn multilingual word representations even without using any direct bilingual signal. The lion's share ...
  • The impact of COVID-19 on flight networks 

    Suzumura, Toyotaro; Kanezashi, Hiroki; Dholakia, Mishal; Ishii, Euma; Álvarez Napagao, Sergio; Pérez Arnal, Raquel; García Gasulla, Dario (Institute of Electrical and Electronics Engineers (IEEE), 2020)
    Conference report
    Open Access
    As COVID-19 transmissions spread worldwide, governments have announced and enforced travel restrictions to prevent further infections. Such restrictions have a direct effect on the volume of international flights among ...

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