Recent Submissions

  • Tuberculine reaction measured by infrared thermography 

    Fiz Fernández, José Antonio; Lozano, Manuel; Monte Moreno, Enrique; Gonzalez Martinez, Adela; Faúndez Zanuy, Marcos; Becker, Caroline; Pons Rodriguez, Laura; Ruiz Manzano, Juan (2015-11-01)
    Article
    Restricted access - publisher's policy
    Setting: The infection with Mycobacterium tuberculosis gives a delayed immune response, measured by the tuberculine skin test. We present a new technique for evaluation based on automatic detection and measurement of skin ...
  • Short term oxygen therapy effects in hypoxemicpatients measured by drawing analysis 

    Fiz Fernández, José Antonio; Faúndez Zanuy, Marcos; Monte Moreno, Enrique; Roure Alcobé, Josep; Andreo, Felipe; Gomez, Rosa; Ruiz Manzano, Juan (2015-02-04)
    Article
    Restricted access - publisher's policy
    Background Chronic hypoxemia has deleterious effects on psychomotor function that can affect daily life. There are no clear results regarding short term therapy with low concentrations of O2 in hypoxemic patients. We seek ...
  • Creating expressive synthetic voices by unsupervised clustering of audiobooks 

    Jauk, Igor; Bonafonte Cávez, Antonio; López Otero, Paula; Docio Fernández, Laura (International Speech Communication Association (ISCA), 2015)
    Conference lecture
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    In this work we design an approach for automatic feature selection and voice creation for expressive synthesis. Our approach is guided by two main goals: (1) increasing the flexibility of expressive voice creation and (2) ...
  • Data pre-processing for neural network-based forecasting: does it really matter? 

    Claveria, Oscar; Monte Moreno, Enrique; Torra Porras, Salvador (2015-11-04)
    Article
    Restricted access - publisher's policy
    This study aims to analyze the effects of data pre-processing on the forecasting performance of neural network models. We use three different Artificial Neural Networks techniques to predict tourist demand: multi-layer ...
  • A new forecasting approach for the hospitality industry 

    Claveria, Oscar; Monte Moreno, Enrique; Torra Porras, Salvador (2015-10-01)
    Article
    Open Access
    Purpose – This study aims to apply a new forecasting approach to improve predictions in the hospitality industry. To do so, the authors developed a multivariate setting that allows the incorporation of the cross-correlations ...
  • A MOOC on approaches to machine translation 

    Ruiz Costa-Jussà, Marta; Formiga, Lluís; Torrillas Tostado, Oriol; Petit Silvestre, Jordi; Rodríguez Fonollosa, José Adrián (2015-12-10)
    Article
    Open Access
    This paper describes the design, development, and analysis of a MOOC entitled “Approaches to Machine Translation: Rule-based, statistical and hybrid”, and provides lessons learned and conclusions to be taken into account ...
  • On the impact of morphology in English to Spanish statistical MT 

    de Gispert Ramis, Adrià; Mariño Acebal, José Bernardo (2008-12-31)
    Article
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    This paper presents a thorough study of the impact of morphology derivation on N-gram-based Statistical Machine Translation (SMT) models from English into a morphology-rich language such as Spanish. For this purpose, we ...
  • Model-based processing for acoustic scene analysis 

    Nadeu Camprubí, Climent; Chakraborty, Rupayan; Wolf, Martin (Institute of Electrical and Electronics Engineers (IEEE), 2014)
    Conference report
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    The analysis of acoustic scenes requires several functionalities, being perhaps recognition (speech, speaker, other acoustic events) and spatial localization the two most relevant ones. For a reduced invasiveness, ...
  • Stay-Away, protecting sensitive applications from performance interference 

    Rameshan, Navaneeth; Navarro Moldes, Leandro; Monte Moreno, Enrique; Vlassov, Vladimir (Association for Computing Machinery (ACM), 2014)
    Conference report
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    While co-locating virtual machines improves utilization in resource shared environments, the resulting performance interference between VMs is difficult to model or predict. QoS sensitive applications can suffer from ...
  • Tourism demand forecasting with neural network models: different ways of treating information 

    Claveria, Oscar; Monte Moreno, Enrique; Torra Porras, Salvador (John Wiley & Sons, 2014-07-21)
    Article
    Restricted access - publisher's policy
    This paper aims to compare the performance of three different artificial neural network techniques for tourist demand forecasting: a multi-layer perceptron, a radial basis function and an Elman network. We find that ...

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