Recent Submissions

  • Convolutional Neural Networks, image recognition and financial time series forecasting 

    Arratia Quesada, Argimiro Alejandro; Sepúlveda, Eduardo (2019)
    Conference report
    Restricted access - publisher's policy
    Convolutional Neural Networks (CNN) are best known as good image classifiers. This model is recently been used for financial forecasting. The purpose of this work is to show that by converting financial information into ...
  • Do Google Trends forecast bitcoins? Stylized facts and statistical evidence 

    Arratia Quesada, Argimiro Alejandro; López Barrantes, Albert (2019)
    Conference report
    Open Access
    In early 2018 Bitcoin prices peaked at USD 20,000 and, almost two years later, we still continue debating if cryptocurrencies can actually become a currency for the everyday life or not. From the economic point of view, ...
  • Good practices, innovation or scientific research in education? A conceptual reflection 

    Hernández Fernández, Antonio (FORUM XXI, 2020-02)
    Conference lecture
    Open Access
    In this work a conceptual delimitation of "good teaching practices", "educational innovation" and "educational research" is proposed, based on both the experimental design and the quality of the ...
  • Zipf's law of abbreviation as a language universal 

    Bentz, Chris; Ferrer Cancho, Ramon (University of Tübingen, 2016)
    Conference report
    Open Access
    Words that are used more frequently tend to be shorter. This statement is known as Zipf’s law of abbreviation. Here we perform the widest investigation of the presence of the law to date. In a sample of 1262 texts and 986 ...
  • Long-distance dependencies are not uniquely human 

    Ferrer Cancho, Ramon; Longa Martínez, Víctor Manuel; Lorenzo González, Guillermo (World Scientific Publishing, 2008)
    Conference report
    Restricted access - publisher's policy
    It is widely assumed that long-distance dependencies between elements are a unique feature of human language. Here we review recent evidence of long-distance correlations in sequences produced by non-human species and ...
  • Measuring investment opportunities under uncertainty 

    Castro Rabal, Jorge; Gabarró Vallès, Joaquim; Serna Iglesias, María José (Springer, 2019)
    Conference report
    Open Access
    In order to make sound economic decisions it is important to measure the possibilities offered by a market in relation to investments. Provided an investment scheme S = (r; R1, . . . , Rn), where r is a lower bound on the ...
  • Refining the imprecise meaning of non-determinism in the Web by strategic games 

    Castro Rabal, Jorge; Gabarró Vallès, Joaquim; Serna Iglesias, María José (Springer, 2019)
    Conference report
    Open Access
    Nowadays interactions with the World Wide Web are ubiquitous. Users interact through a number of steps consisting of site calls and handling results that can be automatized as orchestrations. Orchestration results have ...
  • A statistical model from information theory to explain Zipf's law of brevity 

    Hernández Fernández, Antonio; González Torre, Iván; Lacasa, Lucas; Kello, Christopher; Luque Serrano, Bartolome (Basque Center on Cognition, Brain and Language, 2019)
    Conference lecture
    Restricted access - publisher's policy
    Brevity and frequency are two crucial factors in the processes of statistical learning. The compression principle had already been used previously to explain the origin of Zipf’s law for the frequency of words. Here we use ...
  • Log-normal distribution in acoustic linguistic units 

    González Torre, Iván; Lacasa, Lucas; Kello, Christopher; Luque Serrano, Bartolome; Hernández Fernández, Antonio (Basque Center on Cognition, Brain and Language, 2019)
    Conference lecture
    Restricted access - publisher's policy
    In this work we verify with accuracy that acoustically transcribed durations of linguistic units at several scales (phonemes, words and Breath Groups) comply with log-normal distribution. To do this we have used a very ...
  • Ús de Kahoot! com a eina de ludificació per a la retroalimentació a temps 

    Pàmies Vilà, Rosa; Fabregat Sanjuan, Albert; Puig Ortiz, Joan; Jordi Nebot, Lluïsa; Hernández Fernández, Antonio (Congrés Internacional de Docència Universitària i Innovació (CIDUI), 2019)
    Conference report
    Open Access
    Es presenta l’actuació duta a terme en les pràctiques de Teoria de Màquines i Mecanismes de l’ETSEIB. S’introdueix una retroalimentació a temps mitjançant l’aplicació Kahoot! la qual cosa permet estimular l’interès de ...
  • On methods to assess the significance of community structure in networks of financial time series 

    Arratia Quesada, Argimiro Alejandro; Renedo Mirambell, Martí (2017)
    Conference lecture
    Open Access
    We consider the problem of determining whether the community structure found by a clustering algorithm applied to nancial time series is statistically signi cant, or is due to pure chance, when no other information ...
  • Forecasting financial time series with multiple kernel learning 

    Fábregues de los Santos, Luis; Arratia Quesada, Argimiro Alejandro; Belanche Muñoz, Luis Antonio (2017)
    Conference lecture
    Restricted access - publisher's policy
    This paper introduces a forecasting procedure based on mul-tivariate dynamic kernels to re-examine –under a non linear framework–the experimental tests reported by Welch and Goyal showing that severalvariables proposed in ...

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