Recent Submissions

  • On graph combinatorics to improve eigenvector-based measures of centrality in directed networks 

    Arratia Quesada, Argimiro Alejandro; Marijuan López, Carlos (Elsevier, 2016-09-01)
    Article
    Restricted access - publisher's policy
    We present a combinatorial study on the rearrangement of links in the structure of directed networks for the purpose of improving the valuation of a vertex or group of vertices as established by an eigenvector-based ...
  • Gelada vocal sequences follow Menzerath's linguistic law 

    Gustison, Morgan; Semple, Stuart; Ferrer Cancho, Ramon; Bergman, Thore (2016-03-04)
    Article
    Open Access
    Identifying universal principles underpinning diverse natural systems is a key goal of the life sciences. A powerful approach in addressing this goal has been to test whether patterns consistent with linguistic laws are ...
  • The scaling of the minimum sum of edge lengths in uniformly random trees 

    Esteban Ángeles, Juan Luis; Ferrer Cancho, Ramon; Gómez Rodríguez, Carlos (Institute of Physics (IOP), 2016-06-21)
    Article
    Restricted access - publisher's policy
    The minimum linear arrangement problem on a network consists of finding the minimum sum of edge lengths that can be achieved when the vertices are arranged linearly. Although there are algorithms to solve this problem on ...
  • Estimaciones de promedios en análisis 

    Boza Rocho, Santiago; Soria de Diego, Javier (Real Sociedad Matemática Española, 2015)
    Article
    Restricted access - publisher's policy
    Existen en Análisis una serie de resultados clásicos en los que el cálculo de promedios juega un papel relevante, como los métodos generalizados de convergencia, el teorema Fundamental del Cálculo o el tratamiento digital ...
  • Liberating language research from dogmas of the 20th century 

    Ferrer Cancho, Ramon; Gómez Rodríguez, Carlos (2016-02-25)
    Article
    Open Access
    A commentary on the article “Large-scale evidence of dependency length minimization in 37 languages” by Futrell, Mahowald & Gibson (PNAS 2015 112 (33) 10336-10341).
  • GeoSRS: a hybrid social recommender system for geolocated data 

    Capdevila Pujol, Joan; Arias Vicente, Marta; Arratia Quesada, Argimiro Alejandro (2016-04-01)
    Article
    Open Access
    All right sreserved. We present GeoSRS, a hybrid recommender system for a popular location-based social network (LBSN), in which users are able to write short reviews on the places of interest they visit. Using state-of-the-art ...
  • An efficient closed frequent itemset miner for the MOA stream mining system 

    Quadrana, Massimo; Bifet Figuerol, Albert Carles; Gavaldà Mestre, Ricard (2015-01-07)
    Article
    Open Access
    Mining itemsets is a central task in data mining, both in the batch and the streaming paradigms. While robust, efficient, and well-tested implementations exist for batch mining, hardly any publicly available equivalent ...
  • Structural ambiguity in Montague Grammar and categorial grammar 

    Morrill, Glyn (2015-01)
    Article
    Restricted access - publisher's policy
    We give a type logical categorial grammar for the syntax and semantics of Montague's seminal fragment, which includes ambiguities of quantification and intensionality and their interactions, and we present the analyses ...
  • Absolute-type shaft encoding using LFSR sequences with a prescribed length 

    Fuertes Armengol, José Mª; Balle Pigem, Borja de; Ventura Capell, Enric (2008-03-31)
    Article
    Open Access
    Maximal-length binary sequences have existed for a long time. They have many interesting properties, and one of them is that, when taken in blocks of n consecutive positions, they form 2n - 1 different codes in a closed ...
  • A multi-scale smoothing kernel for measuring time-series similarity 

    Troncoso, Alicia; Arias Vicente, Marta; Riquelme Santos, José Cristóbal (2015-11-01)
    Article
    Restricted access - publisher's policy
    In this paper a kernel for time-series data is introduced so that it can be used for any data mining task that relies on a similarity or distance metric. The main idea of our kernel is that it should recognize as highly ...

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