Recent Submissions

  • Extensive study on the underlying gender bias in contextualized word embeddings 

    Basta, Christine Raouf Saad; Ruiz Costa-Jussà, Marta; Casas Manzanares, Noé (2020-07-24)
    Article
    Restricted access - publisher's policy
    Gender bias is affecting many natural language processing applications. While we are still far from proposing debiasing methods that will solve the problem, we are making progress analyzing the impact of this bias in current ...
  • Linguistic knowledge-based vocabularies for Neural Machine Translation 

    Casas Manzanares, Noé; Ruiz Costa-Jussà, Marta; Rodríguez Fonollosa, José Adrián; Alonso, Juan; Fanlo, Ramon (Cambridge University Press, 2020)
    Article
    Open Access
    Neural Networks applied to Machine Translation need a finite vocabulary to express textual information as a sequence of discrete tokens. The currently dominant subword vocabularies exploit statistically-discovered common ...
  • Economic forecasting with evolved confidence indicators 

    Claveria González, Oscar; Monte Moreno, Enrique; Torra Porras, Salvador (2020-12-01)
    Article
    Restricted access - publisher's policy
    We present a machine-learning method for sentiment indicators construction that allows an automated variable selection procedure. By means of genetic programming, we generate country-specific business and consumer confidence ...
  • Time series features and machine learning forecasts 

    Claveria González, Oscar; Monte Moreno, Enrique; Torra Porras, Salvador (2020-09-16)
    Article
    Restricted access - publisher's policy
    In this study we combine the results of two independent analyses to position Spanish regions according to both the characteristics of the time series of international tourist arrivals and the accuracy of predictions of ...
  • A self-organizing map analysis of survey-based agents expectations before impending shocks for model selection: the case of the 2008 financial crisis 

    Claveria González, Oscar; Monte Moreno, Enrique; Torra Porras, Salvador (2016-08-03)
    Article
    Open Access
    This paper examines the role of clustering techniques to assist in the selection of the most indicated method to model survey-based expectations. First, relying on a Self-Organizing Map (SOM) analysis and using the financial ...
  • Time-domain speech enhancement using generative adversarial networks 

    Pascual de la Puente, Santiago; Serra, Joan; Bonafonte Cávez, Antonio (2019-11-01)
    Article
    Restricted access - publisher's policy
    Speech enhancement improves recorded voice utterances to eliminate noise that might be impeding their intelligibility or compromising their quality. Typical speech enhancement systems are based on regression approaches ...
  • Exploring efficient neural architectures for linguistic-acoustic mapping in text-to-speech 

    Pascual de la Puente, Santiago; Serra, Joan; Bonafonte Cávez, Antonio (Multidisciplinary Digital Publishing Institute, 2019-08-17)
    Article
    Open Access
    Conversion from text to speech relies on the accurate mapping from linguistic to acoustic symbol sequences, for which current practice employs recurrent statistical models such as recurrent neural networks. Despite the ...
  • Restricted Boltzmann machine vectors for speaker clustering and tracking tasks in TV broadcast shows 

    Khan, Umair; Safari, Pooyan; Hernando Pericás, Francisco Javier (Multidisciplinary Digital Publishing Institute, 2019-07-09)
    Article
    Open Access
    Restricted Boltzmann Machines (RBMs) have shown success in both the front-end and backend of speaker verification systems. In this paper, we propose applying RBMs to the front-end for the tasks of speaker clustering and ...
  • The AXIOM project: IoT on heterogeneous embedded platforms 

    Filgueras Izquierdo, Antonio; Vidal, Miquel; Mateu, Marc; Jiménez González, Daniel; Álvarez Martínez, Carlos; Martorell Bofill, Xavier; Ayguadé Parra, Eduard; Theodoropoulos, Dimitris; Pnevmatikatos, Dionisis; Gai, Paolo; Garzarella, Stefano; Oro de Herta, David; Hernando Pericás, Francisco Javier; Bettin, Nicola; Pomella, Alberto; Giorgi, Roberto (Institute of Electrical and Electronics Engineers (IEEE), 2019-11-11)
    Article
    Open Access
    The AXIOM project aims at providing an environment for Cyber-Physical Systems. Smart Video Surveillance targets public environments, involving real-time face detection in crowds. Smart Home Living targets home environments ...
  • Extraction of the underlying structure of systematic risk from non-Gaussian multivariate financial time series using independent component analysis: Evidence from the Mexican stock exchange 

    Ladrón de Guevara Cortés, Rogelio; Torra Porras, Salvador; Monte Moreno, Enrique (2018-01-01)
    Article
    Open Access
    Regarding the problems related to multivariate non-Gaussianity of financial time series, i.e., unreliable results in extraction of underlying risk factors -via Principal Component Analysis or Factor Analysis-, we use ...
  • Electron density retrieval from truncated Radio Occultation GNSS data 

    Lyu, Haixia; Hernández Pajares, Manuel; Monte Moreno, Enrique; Cardellach Galí, Estel (2019-06-01)
    Article
    Open Access
    This paper summarizes the definition and validation of two complementary new strategies, to invert incomplete Global Navigation Satellite System Radio-Occultation (RO) ionospheric measurements, such as the ones to be ...
  • Chatbol, a chatbot for the Spanish “La Liga” 

    Segura, Carlos; Palau, Alex; Luque, Jordi; Ruiz Costa-Jussà, Marta; Banchs, Rafael E. (Springer, 2019-09-25)
    Article
    Open Access
    This work describes the development of a social chatbot for the football domain. The chatbot, named chatbol, aims at answering a wide variety of questions related to the Spanish football league “La Liga”. Chatbol is deployed ...

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