LARCA és un grup de recerca de nivell internacional en temes d'aprenentatge i mineria de dades, anàlisi de dades i lingüística matemàtica. Típicament, abordem els problemes des de principis matemàtics sòlids, usant eines de modelització i tècniques de l'algorísmia, complexitat computacional, teoria d'autòmats, lògica, matemàtica discreta, estadística, i sistemes dinàmics. Estem iniciant
col·laboracions amb empreses i altres institucions per tal d'aplicar les nostres solucions al problemes del món real.

LARCA es un grupo de investigación de nivel internacional en temas de aprendizaje y minería de datos, análisis de datos y lingüística matemática. Típicamente, abordamos los problemas desde principios matemáticos sólidos, usando técnicas de modelización de la algoritmia, la complejidad computacional, teoría de autómatas, lógica, matemática discreta, estadística y sistemas dinámicos. Estamos iniciando colaboraciones con empresas e instituciones para la aplicación de nuestras soluciones a contextos reales.

LARCA is an international research group working on data mining, machine learning, data analysis, and mathematical linguistics. We typically approach problems from sound mathematical principles, using modelling tools and techniques from algorithmics, computational complexity, automata theory, logic, discrete mathematics, statistics, and dynamic systems. We are also starting partnerships with companies and other institutions to apply our solutions to real-world problems.

LARCA is an international research group working on data mining, machine learning, data analysis, and mathematical linguistics. We typically approach problems from sound mathematical principles, using modelling tools and techniques from algorithmics, computational complexity, automata theory, logic, discrete mathematics, statistics, and dynamic systems. We are also starting partnerships with companies and other institutions to apply our solutions to real-world problems.

Recent Submissions

  • Linguistic laws in chimpanzee gestural communication 

    Heesen, Raphaela; Hobaiter, Catherine; Ferrer Cancho, Ramon; Semple, Stuart (2019-02-13)
    Article
    Open Access
    Studies testing linguistic laws outside language have provided important insights into the organization of biological systems. For example, patterns consistent with Zipf's law of abbreviation (which predicts a negative ...
  • The polysemy of the words that children learn over time 

    Casas Fernández, Bernardino; Catala Roig, Neus; Ferrer Cancho, Ramon; Hernández Fernández, Antonio; Baixeries i Juvillà, Jaume (2018-12)
    Article
    Open Access
    Here we study polysemy as a potential learning bias in vocabulary learning in children. We employ a massive set of transcriptions of conversations between children and adults in English, to analyze the evolution of mean ...
  • Fermi : la energía nuclear : la fisión hace la fuerza 

    Hernández Fernández, Antonio (2018-12)
    Article
    Restricted access - publisher's policy
    Enrico Fermi participó en la revolución de la física de la primera mitad del siglo xx. Su ciclópea labor propició un conocimiento más profundo de las partículas del universo cuántico, y de su capacidad de escudriñar la ...
  • 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 ...
  • A note on movement in logical grammar 

    Morrill, Glyn (2018)
    Article
    Open Access
    In this article, we make some brief remarks on overt and covert movement in logical grammar. With respect to covert movement (e.g. quantification), we observe how a treatment in terms of displacement calculus interacts ...
  • 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, 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 ...
  • The Greedy Algorithm and the Cohen-Macaulay property of rings, graphs and toric projective curves 

    Arratia Quesada, Argimiro Alejandro (Springer, 2018)
    Part of book or chapter of book
    Restricted access - publisher's policy
    It is shown in this paper how a solution for a combinatorial problem obtained from applying the greedy algorithm is guaranteed to be optimal for those instances of the problem that, under an appropriate algebraic representation, ...
  • Improving adaptation and interpretability of a short-term traffic forecasting system 

    Mena Yedra, Rafael; Casas Vilaró, Jordi; Djukic, Tamara; Gavaldà Mestre, Ricard (2017)
    Conference report
    Open Access
    Traffic management is being more important than ever, especially in overcrowded big cities with over-pollution problems and with new unprecedented mobility changes. In this scenario, road-traffic prediction plays a key ...
  • Assessing spatiotemporal correlations from data for short-term traffic prediction using multi-task learning 

    Mena Yedra, Rafael; Casas Vilaró, Jordi; Gavaldà Mestre, Ricard (Elsevier, 2018-12-04)
    Article
    Open Access
    Traffic flow prediction is a fundamental problem for efficient transportation control and management. However, most current data-driven traffic prediction work found in the literature have focused on predicting traffic ...
  • An evaluation of equity premium prediction using multiple kernel learning with financial features 

    Arratia Quesada, Argimiro Alejandro; Belanche Muñoz, Luis Antonio; Fábregues, Luis (2019-01-09)
    Article
    Restricted access - publisher's policy
    This paper introduces and extensively explores a forecasting procedure based on multivariate dynamic kernels to re-examine –under a non-linearframework– the experimental tests reported by Welch and ...
  • Parsing/theorem-proving for logical grammar CatLog3 

    Morrill, Glyn (Springer, 2019-01-18)
    Article
    Restricted access - publisher's policy
    CatLog3 is a 7000 line Prolog parser/theorem-prover for logical categorial grammar. In such logical categorial grammar syntax is universal and grammar is reduced to logic: an expression is grammatical if and only if an ...

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