Enviaments recents

  • Merge cube y la realidad aumentada : una propuesta didáctica para la enseñanza de tecnología y digitalización en primer curso de educación secundaria obligatoria 

    Bertran Martínez, Albert; Hernández Fernández, Antonio; Seinfeld Tarafa, Sofia (2022)
    Comunicació de congrés
    Accés restringit per política de l'editorial
    Se presenta en este artículo la posibilidad de utilizar una interfaz tangible de Realidad Aumentada (RA), conocida con el nombre comercial de Merge Cube. Merge Cube es un elemento que enlaza el mundo físico con el digital, ...
  • The linear arrangement library: A new tool for research on syntactic dependency structures 

    Alemany Puig, Lluís; Esteban Ángeles, Juan Luis; Ferrer Cancho, Ramon (Association for Computational Linguistics, 2022)
    Comunicació de congrés
    Accés obert
    The new and growing field of Quantitative Dependency Syntax has emerged at the crossroads between Dependency Syntax and Quantitative Linguistics. One of the main concerns in this field is the statistical patterns of syntactic ...
  • Synthetic dataset generation with itemset-based generative models 

    Lezcano Ríos, Christian Gerardo; Arias Vicente, Marta (Institute of Electrical and Electronics Engineers (IEEE), 2019)
    Text en actes de congrés
    Accés obert
    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)
    Text en actes de congrés
    Accés obert
    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)
    Text en actes de congrés
    Accés obert
    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)
    Text en actes de congrés
    Accés restringit per política de l'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)
    Text en actes de congrés
    Accés obert
    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)
    Comunicació de congrés
    Accés obert
    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)
    Text en actes de congrés
    Accés obert
    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)
    Text en actes de congrés
    Accés restringit per política de l'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)
    Text en actes de congrés
    Accés obert
    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)
    Text en actes de congrés
    Accés obert
    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 ...

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