Now showing items 1-20 of 22

    • A kernel for time series classification: application to atmospheric pollutants 

      Arias Vicente, Marta; Troncoso, Alicia; Riquelme, José C. (2012)
      Conference report
      Open Access
      In this paper a kernel for time-series data is presented. The main idea of the kernel is that it is designed to recognize as similar time series that may be slightly shifted with one another. Namely, it tries to focus on ...
    • A multi-scale smoothing kernel for measuring time-series similarity 

      Troncoso, Alicia; Arias Vicente, Marta; Riquelme Santos, José Cristóbal (2015-11-01)
      Article
      Open Access
      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 ...
    • Automated construction and analysis of political networks via open government and media sources 

      García-Olano, Diego; Arias Vicente, Marta; Larriba Pey, Josep (2016)
      Conference report
      Open Access
      We present a tool to generate real world political networks from user provided lists of politicians and news sites. Additional output includes visualizations, interactive tools and maps that allow a user to better understand ...
    • Canonical Horn representations and query learning 

      Arias Vicente, Marta; Balcázar Navarro, José Luis (2009-05)
      External research report
      Open Access
      We describe an alternative construction of an existing canonical representation for definite Horn theories, the emph{Guigues-Duquenne} basis (or GD basis), which minimizes a natural notion of implicational size. We extend ...
    • 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) ...
    • Characterizing chronic disease and polymedication prescription patterns from electronic health records 

      Zamora, Martí; Baradad, Manel; Amado, Ester; Cordomí, Sílvia; Limón, Esther; Ribera, Juliana; Arias Vicente, Marta; Gavaldà Mestre, Ricard (Institute of Electrical and Electronics Engineers (IEEE), 2015)
      Conference report
      Open Access
      Population aging in developed countries brings an increased prevalence of chronic disease and of polymedication-patients with several prescribed types of medication. Attention to chronic, polymedicated patients is a priority ...
    • 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 ...
    • Classifier selection with permutation tests 

      Arias Vicente, Marta; Arratia Quesada, Argimiro Alejandro; Duarte López, Ariel (IOS Press, 2017)
      Conference report
      Open Access
      This work presents a content-based recommender system for machine learning classifier algorithms. Given a new data set, a recommendation of what classifier is likely to perform best is made based on classifier performance ...
    • Does like seek like? The formation of working groups in a programming project 

      Sanou Gozalo, Eduard; Hernández Fernández, Antonio; Arias Vicente, Marta; Ferrer Cancho, Ramon (Omnia Publisher SL (OmniaScience), 2017-02)
      Article
      Open Access
      In a course of the degree of computer science, the programming project has changed from individual to teamed work, tentatively in couples (pair programming). Students have full freedom to team up with minimum intervention ...
    • Does like seek like?: the formation of working groups in a programming project 

      Sanou Gozalo, Eduard; Hernández Fernández, Antonio; Arias Vicente, Marta; Ferrer-i-Cancho, Ramon (OmniaScience, 2017-06)
      Article
      Open Access
      In a course of the degree of computer science, the programming project has changed from individual to teamed work, tentatively in couples (pair programming). Students have full freedom to team up with minimum intervention ...
    • Does training affect match performance? A study using data mining and tracking devices 

      Fernández, Javier; Medina Leal, Daniel; Gómez, Antonio; Arias Vicente, Marta; Gavaldà Mestre, Ricard (2016)
      Conference lecture
      Open Access
      FIFA has recently allowed the use of electronic performance and tracking systems (EPTS) in professional football competition, providing teams with novel and more accurate data. Physical performance has not yet taken much ...
    • El bajo rendimiento teórico de los alumnos en asignaturas teórico-prácticas: posibles soluciones 

      Ferrer Cancho, Ramon; Arias Vicente, Marta (2010)
      Conference lecture
      Open Access
      En este trabajo analizamos el rendimiento de los alumnos a lo largo de tres cuatrimestres en la asignatura compiladores de la ingeniería informática. Esta asignatura combina conocimientos teóricos sobre compilación con el ...
    • Estrategias de mejora del rendimiento en una asignatura teórica difícil de la fase selectiva 

      Arias Vicente, Marta; Ferrer Cancho, Ramon (2010)
      Conference lecture
      Open Access
      La asignatura de Introducción a la Lógica es una asignatura del primer año de Ingeniería en Informática impartida en la Facultad de Informática de Barcelona (UPC). La asignatura fue rediseñada en el curso 06-07 y pasó a ...
    • From training to match performance: A predictive and explanatory study on novel tracking data 

      Fernández, Javier; Medina, Daniel; Gómez, Antonio; Arias Vicente, Marta; Gavaldà Mestre, Ricard (Institute of Electrical and Electronics Engineers (IEEE), 2016)
      Conference lecture
      Restricted access - publisher's policy
      The recent FIFA approval of the use of Electronic Performance and Tracking Systems (EPTS) during competition, has provided the availability of novel data regarding physical player performance. The analysis of this kind of ...
    • 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 ...
    • Identifiability and transportability in dynamic causal networks 

      Blondel, Gilles; Arias Vicente, Marta; Gavaldà Mestre, Ricard (Springer, 2017-03)
      Article
      Open Access
      In this paper, we propose a causal analog to the purely observational dynamic Bayesian networks, which we call dynamic causal networks. We provide a sound and complete algorithm for the identification of causal effects in ...
    • Identifiability and transportability in dynamic causal networks 

      Blondel, Gilles; Arias Vicente, Marta; Gavaldà Mestre, Ricard (2016)
      External research report
      Open Access
      In this paper we propose a causal analog to the purely observational Dynamic Bayesian Networks, which we call Dynamic Causal Networks. We provide a sound and complete algorithm for identification of Dynamic Causal Networks, ...
    • Knowledge-based segmentation to improve accuracy and explainability in non-technical losses detection 

      Calvo Ibáñez, Albert; Coma Puig, Bernat; Carmona Vargas, Josep; Arias Vicente, Marta (2020-10-30)
      Article
      Open Access
      Utility companies have a great interest in identifying energy losses. Here, we focus on Non-Technical Losses (NTL), which refer to losses caused by utility theft or meter errors. Typically, utility companies resort to ...
    • Learning definite Horn formulas from closure queries 

      Arias Vicente, Marta; Balcázar Navarro, José Luis; Tîrnauca, Cristina (2017-01-07)
      Article
      Open Access
      A definite Horn theory is a set of n-dimensional Boolean vectors whose characteristic function is expressible as a definite Horn formula, that is, as conjunction of definite Horn clauses. The class of definite Horn theories ...
    • Learning theory through videos: a teaching experience in a theoretical course based on self-learning videos and problem-solving sessions 

      Arias Vicente, Marta; Creus López, Carles; Gascón Caro, Adrià; Godoy Balil, Guillem (SciTePress, 2011)
      Conference report
      Restricted access - publisher's policy
      In this paper we describe a teaching experience applied to a theoretical course tought in a computer science degree. The main feature of our experiment is the introduction of videos specifically designed for self-learning ...