Enviaments recents

  • TEC forecasting based on manifold trajectories 

    Monte Moreno, Enrique; García Rigo, Alberto; Hernández Pajares, Manuel; Yang, Heng (Multidisciplinary Digital Publishing Institute (MDPI), 2018-06-22)
    Article
    Accés obert
    In this paper, we present a method for forecasting the ionospheric Total Electron Content (TEC) distribution from the International GNSS Service’s Global Ionospheric Maps. The forecasting system gives an estimation of the ...
  • N-gram-based machine translation 

    Mariño Acebal, José Bernardo; Banchs, Rafael E.; Crego, Josep Maria; de Gispert Ramis, Adrià; Lambert, Patrik; Rodríguez Fonollosa, José Adrián; Ruiz Costa-Jussà, Marta (2006-12-01)
    Article
    Accés obert
    This article describes in detail an n-gram approach to statistical machine translation. This ap- proach consists of a log-linear combination of a translation model based on n-grams of bilingual units, which are referred ...
  • From feature to paradigm: deep learning in machine translation 

    Ruiz Costa-Jussà, Marta (2018-04-01)
    Article
    Accés obert
    In the last years, deep learning algorithms have highly revolutionized several areas including speech, image and natural language processing. The specific field of Machine Translation (MT) has not remained invariant. ...
  • Experimental research on encoder-decoder architectures with attention for chatbots 

    Ruiz Costa-Jussà, Marta; Nuez, Álvaro; Segura, Carlos (2018-03-18)
    Article
    Accés restringit per política de l'editorial
    Chatbots aim at automatically offering a conversation be- tween a human and a computer. While there is a long track of re- search in rule-based and retrieval-based approaches, the generation-based approaches are promisingly ...
  • A data-driven approach to construct survey-based indicators by means of evolutionary algorithms 

    Claveria, Oscar; Monte Moreno, Enrique; Torra Porras, Salvador (2018-01-09)
    Article
    Accés obert
    In this paper we propose a data-driven approach for the construction of survey-based indicators using large data sets. We make use of agents’ expectations about a wide range of economic variables contained in the World ...
  • Multi-TID detection and characterization in a dense Global Navigation Satellite System receiver network 

    Yang, Heng; Monte Moreno, Enrique; Hernández Pajares, Manuel (2017-09-01)
    Article
    Accés restringit per política de l'editorial
    The medium-scale traveling ionospheric disturbances (MSTIDs) constitute the most frequent ionospheric wave signatures. We propose a method for detecting the number of simultaneous MSTIDs from a time series of high-pass-filtered ...
  • Empirical modelling of survey-based expectations for the design of economic indicators in five European regions 

    Claveria, Oscar; Monte Moreno, Enrique; Torra Porras, Salvador (2018-01-09)
    Article
    Accés restringit per política de l'editorial
    In this study we use agents’ expectations about the state of the economy to generate indicators of economic activity in twenty-six European countries grouped in five regions (Western, Eastern, and Southern Europe, and ...
  • A knowledge-based approach to automatic detection of equipment alarm sounds in a neonatal intensive care unit environment 

    Raboshchuk, Ganna; Nadeu Camprubí, Climent; Jancovic, Peter; Peiró Lilja, Alexandre Cristian; Kokuer, Munevver; Muñoz Mahamud, Blanca; Riverola de Veciana, Ana (2017-12-21)
    Article
    Accés obert
    A large number of alarm sounds triggered by biomedical equipment occur frequently in the noisy environment of a neonatal intensive care unit (NICU) and play a key role in providing healthcare. In this paper, our work on ...
  • Direct MSTID mitigation in precise GPS processing 

    Hernández Pajares, Manuel; Wielgosz, Pawel; Paziewski, Jacek; Krypiak-Gregorczyk, Anna; Krukowska, Marta; Stepniak, Katarzyna; Kaplon, Jan; Hadas, Tomasz; Sosnica, Krzysztof; Bosy, Jaroslaw; Orús Pérez, Raul; Monte Moreno, Enrique; Yang, Heng; García Rigo, Alberto; Olivares Pulido, German (2017-03)
    Article
    Accés obert
    In this paper, the authors summarize a simple and efficient approach developed to mitigate the problem in precise GNSS positioning originated by the most frequent ionospheric wave signatures: the Medium Scale Travelling ...
  • Evolutionary computation for macroeconomic forecasting 

    Claveria, Oscar; Monte Moreno, Enrique; Torra Porras, Salvador (2017-11-07)
    Article
    Accés restringit per política de l'editorial
    The main objective of this study is twofold. First, we propose an empirical modelling approach based on genetic programming to forecast economic growth by means of survey data on expectations. We use evolutionary algorithms ...
  • Using survey data to forecast real activity with evolutionary algorithms. A cross-country analysis 

    Claveria, Oscar; Monte Moreno, Enrique; Torra Porras, Salvador (2017-11-01)
    Article
    Accés restringit per política de l'editorial
    In this study we use survey expectations about a wide range of economic variables to forecast real activity. We propose an empirical approach to derive mathematical functional forms that link survey expectations to economic ...
  • Introduction to the special issue on deep learning approaches for machine translation 

    Ruiz Costa-Jussà, Marta; Allauzen, Alexandre; Barrault, loïc; Cho, Kyunghun; Schwenk, Holger (Elsevier, 2017)
    Article
    Accés restringit per política de l'editorial
    Deep learning is revolutionizing speech and natural language technologies since it is offering an effective way to train systems and obtaining significant improvements. The main advantage of deep learning is that, by ...

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