Now showing items 1-12 of 117

    • Synthetic dataset generation with itemset-based generative models 

      Lezcano Ríos, Christian Gerardo; Arias Vicente, Marta (Institute of Electrical and Electronics Engineers (IEEE), 2019)
      Conference report
      Open Access
      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)
      Conference report
      Open Access
      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)
      Conference report
      Open Access
      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)
      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 ...