Now showing items 13-24 of 160

    • Work-efficient parallel non-maximum suppression kernels 

      Oro García, David; Fernandez Tena, Carles; Martorell Bofill, Xavier; Hernando Pericás, Francisco Javier (Wiley Heyden, 2020-08-21)
      Article
      Open Access
      In the context of object detection, sliding-window classifiers and single-shot convolutional neural network (CNN) meta-architectures typically yield multiple overlapping candidate windows with similar high scores around ...
    • Extensive study on the underlying gender bias in contextualized word embeddings 

      Basta, Christine Raouf Saad; Ruiz Costa-Jussà, Marta; Casas Manzanares, Noé (2021-04)
      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 ...