Now showing items 1707-1726 of 1798

    • Using a Well-Founded Multi-level Theory to Support the Analysis and Representation of the Powertype Pattern in Conceptual Modeling 

      Carvalho VA; Almeida JPA; Guizzardi G (Springer-Verlag, 2016)
      Multi-level conceptual modeling addresses the representation of subject domains dealing with multiple classification levels. In such domains, the occurrence of situations in which instances of a type are specializations ...
    • Using affective parameters in a content-based recommender system for images 

      Tkalcic M; Burnik U; Kosir A (SPRINGER, 2010)
      There is an increasing amount of multimedia content available to end users. Recommender systems help these end users by selecting a small but relevant subset of items for each user based on her/his preferences. This paper ...
    • Using Argumentation to Evaluate Concept Blends in Combinatorial Creativity 

      Confalonieri R; Corneli J; Pease A; Plaza E; Schorlemmer M (The Association for Computational Creativity, 2015)
      This paper motivates the use of computational argumentation for evaluating 'concept blends' and other forms of combinatorial creativity. We exemplify our approach in the domain of computer icon design, where icons are ...
    • Using Bayesian Networks as an Inference Engine in KAMET 

      Cairó, O; Penaloza, R (IEEE-Press, 2003)
      During the past decades, many methods have been developed for the creation of knowledge-based systems (KBS). For these methods, probabilistic networks have shown to be an important tool to work with probability-measured ...
    • Using Cohesion and Coupling for Software Remodularization: Is it Enough? 

      Candela I; Bavota G; Russo B; Oliveto R (2016)
      Refactoring and, in particular, remodularization operations can be performed to repair the design of a software system and remove the erosion caused by software evolution. Various approaches have been proposed to support ...
    • Using contexts similarity to predict relationships between tasks 

      Maalej W; Ellmann M; Robbes R (Elsevier Inc., 2017)
      Developers' tasks are often interrelated. A task might succeed, precede, block, or depend on another task. Or, two tasks might simply have a similar aim or require similar expertise. When working on tasks, developers ...
    • Using developer interaction data to compare expertise metrics 

      Robbes R; Röthlisberger D (IEEE Computer Society, 2013)
      The expertise of a software developer is said to be a crucial factor for the development time required to complete a task. Even if this hypothesis is intuitive, research has not yet quantified the effect of developer ...
    • Using Instagram Picture Features to Predict Users' Personality 

      Ferwerda B; Schedl M; Tkalcic M (Springer, 2016)
      Instagram is a popular social networking application, which allows photo-sharing and applying different photo filters to adjust the appearance of a picture. By applying these filters, users are able to create a style that ...
    • Using Metric Visualization and Sharing Tool to Drive Agile-Related Practices 

      Remencius, T; Sillitti, A; Succi, G (Springer, 2009)
      This paper presents a metric visualization and sharing tool that supports management and control of Agile-related practices, such as test-driven development, continuous integration, user stories, and pair programming. The ...
    • Using Mise-En-Scene Visual Features based on MPEG-7 and Deep Learning for Movie Recommendation 

      Deldjoo Y; Quadrana M; Elahi M; Cremonesi P (2017)
      Item features play an important role in movie recommender systems, where recommendations can be generated by using explicit or implicit preferences of users on traditional features (attributes) such as tag, genre, and cast. ...
    • Using Social Media Mining for Estimating Theory of Planned Behaviour Parameters 

      Tkalcic M; Ferwerda B; Schedl M; Liem C; Melenhorst MS; Odic A; Kosir A (CEUR, 2014)
      In this position paper we present the scenario of making interventions for increasing the classical music concert-going behaviour of end users. Within the FP7 Phenicx project we are developing a personalized persuasive ...
    • Using Tableaux and Automata for Pinpointing in EL 

      Peñaloza R (University of Oslo, 2009)
      We show that the subsumption algorithm for the Description Logic EL can be seen both as a tableau-based and an automata-based decision procedure. Each of these views allows an extension into a so-called pinpointing algorithm. ...
    • Using Tags and Latent Factors in a Food Recommender System 

      Ge, M; Elahi, M; Fernández-Tobías, I; Ricci, F; Massimo, D (ACM, 2015)
      Due to the extensive growth of food varieties, making better and healthier food choices becomes more and more complex. Most of the current food suggestion applications offer just generic advices that are not tailored to ...
    • Using the VBARMS method in parallel computing 

      Carpentieri B; Liao J; Sosonkina M; Bonfiglioli A; Baars S (2016)
      The paper describes an improved parallel MPI-based implementation of VBARMS, a variable block variant of the pARMS preconditioner proposed by Li et al. [2003][14] for solving general nonsymmetric linear systems. The parallel ...
    • Using Time-Sensitive Rooted PageRank to Detect Hierarchical Social Relationships 

      Jaber, M; Papapetrou, P; Helmer, S; Wood, PT (Springer, 2014)
      We study the problem of detecting hierarchical ties in a social network by exploiting the interaction patterns between the actors (members) involved in the network. Motivated by earlier work using a rank-based approach, ...
    • Using visual features and latent factors for movie recommendation 

      Deldjoo Y; Elahi M; Cremonesi P (CEUR-WS, 2016)
      Item features play an important role in movie recommender systems, where recommendations can be generated by using explicit or implicit preferences of users on attributes such as genres. Traditionally, movie features are ...
    • Using visual features based on MPEG-7 and deep learning for movie recommendation 

      Deldjoo Y; Elahi M; Quadrana M; Cremonesi P (2018)
      Item features play an important role in movie recommender systems, where recommendations can be generated by using explicit or implicit preferences of users on traditional features (attributes) such as tag, genre, and cast. ...
    • Utilising ontology-based modelling for learning content management 

      Pahl C; Javed M; Abgaz YM (AACE, 2010)
      Learning content management needs to support a variety of open, multi-format Web-based software applications. We propose multidimensional, model-based semantic annotation as a way to support the management of access to and ...
    • Value joins are expensive over (probabilistic) XML 

      Kharlamov, E; Nutt, W; Senellart, P (ACM Digital Library, 2010)
      We address the cost of adding value joins to tree-pattern queries and monadic second-order queries over trees in terms of the tractability of query evaluation over two data models: XML and probabilistic XML. Our results ...
    • Variable block algebraic recursive multilevel solver (VBARMS) for sparse linear systems 

      Carpentieri B; Liao J; Sosonkina M (Bader M [and others], 2014)
      We present and discuss the parallel implementation of a multi-elimination incomplete LU factorization method for solving sparse linear systems. The proposed solver exploits any available block structure during the ...