Envíos recientes

  • Synthetic dataset generation with itemset-based generative models 

    Lezcano Ríos, Christian Gerardo; Arias Vicente, Marta (Institute of Electrical and Electronics Engineers (IEEE), 2019)
    Texto en actas de congreso
    Acceso abierto
    This paper proposes three different data generators, tailored to transactional datasets, based on existing itemset-based generative models. All these generators are intuitive and easy to implement and show satisfactory ...
  • Characterizing transactional databases for frequent itemset mining 

    Lezcano Ríos, Christian Gerardo; Arias Vicente, Marta (CEUR-WS.org, 2019)
    Texto en actas de congreso
    Acceso abierto
    This paper presents a study of the characteristics of transactional databases used in frequent itemset mining. Such characterizations have typically been used to benchmark and understand the data mining algorithms working ...
  • Challenging the generalization capabilities of Graph Neural Networks for network modeling 

    Suárez-Varela Maciá, José Rafael; Carol Bosch, Sergi; Rusek, Krzysztof; Almasan Puscas, Felician Paul; Arias Vicente, Marta; Barlet Ros, Pere; Cabellos Aparicio, Alberto (Association for Computing Machinery (ACM), 2019)
    Texto en actas de congreso
    Acceso abierto
    Today, network operators still lack functional network models able to make accurate predictions of end-to-end Key Performance Indicators (e.g., delay or jitter) at limited cost. Recently a novel Graph Neural Network (GNN) ...
  • Convolutional Neural Networks, image recognition and financial time series forecasting 

    Arratia Quesada, Argimiro Alejandro; Sepúlveda, Eduardo (2019)
    Texto en actas de congreso
    Acceso restringido por política de la editorial
    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)
    Texto en actas de congreso
    Acceso abierto
    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)
    Comunicación de congreso
    Acceso abierto
    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)
    Texto en actas de congreso
    Acceso abierto
    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)
    Texto en actas de congreso
    Acceso restringido por política de la editorial
    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)
    Texto en actas de congreso
    Acceso abierto
    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)
    Texto en actas de congreso
    Acceso abierto
    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)
    Comunicación de congreso
    Acceso restringido por política de la editorial
    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)
    Comunicación de congreso
    Acceso restringido por política de la editorial
    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 ...

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