Envíos recientes

  • 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)
    Artículo
    Acceso abierto
    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)
    Artículo
    Acceso restringido por política de la 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)
    Artículo
    Acceso restringido por política de la 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)
    Artículo
    Acceso abierto
    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)
    Artículo
    Acceso restringido por política de la editorial
    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)
    Artículo
    Acceso restringido por política de la 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)
    Artículo
    Acceso restringido por política de la 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)
    Artículo
    Acceso restringido por política de la 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 ...
  • Pre-processing techniques for improved detection of vocalization sounds in a neonatal intensive care unit 

    Raboshchuk, Ganna; Nadeu Camprubí, Climent; Vidiella Pinto, Sergio; Ros Fornells, Oriol; Muñoz Mahamud, Blanca; Riverola de Veciana, Ana (2018-01-01)
    Artículo
    Acceso restringido por política de la editorial
    The sounds occurring in the noisy acoustical environment of a Neonatal Intensive Care Unit (NICU) are thought to affect the growth and neurodevelopment of preterm infants. Automatic sound detection in a NICU is a novel and ...
  • Generación morfológica con algoritmos de aprendizaje profundo integrada en un sistema de traducción automática estadística 

    Escolano, Carlos; Ruiz Costa-Jussà, Marta (2017-09-22)
    Artículo
    Acceso abierto
    La variación morfológica entre un lenguaje fuente y el lenguaje destino genera dificultades a los algoritmos estándares de traducción como el estadístico basado en segmentos. En este trabajo planteamos dividir la tarea de ...
  • Coverage for character based neural machine translation 

    Kazimi, Bashir; Ruiz Costa-Jussà, Marta (2017-09-22)
    Artículo
    Acceso abierto
    In recent years, Neural Machine Translation (NMT) has achieved state-of-the-art performance in translating from a language; source language, to another; target language. However, many of the proposed methods use word ...
  • DeepVoice: tecnologías de aprendizaje profundo aplicadas al procesado de voz y audio 

    Ruiz Costa-Jussà, Marta; Rodríguez Fonollosa, José Adrián (2017-09-22)
    Artículo
    Acceso abierto
    Este proyecto propone el desarrollo de nuevas arquitecturas para el procesado de la voz y el audio mediante métodos de aprendizaje profundo, explorando también nuevas aplicaciones y dando continuidad al trabajo inicial del ...

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