Now showing items 490-509 of 1009

  • L'Extreme apprenticeship funziona davvero 

    Dodero, G; Barazzuol, L; Bersanetti, A; Bolliri, S; Caruso, B; Ferrante, A; Inguanta, CS; Osti, R; Saba, G; Serra, A; Zanon, P; Del Fatto, V (AICA, 2015)
    Il lavoro sintetizza diverse esperienze di insegnamento dell’Informatica nelle Province Autonome di Trento e Bolzano. Caratteristica comune alle esperienze è l’utilizzo della metodologia didattica “Extreme Apprenticeship”. ...
  • La sostenibilità come elemento fondamentale di valore nelle fasi preliminari della progettazione 

    Maccioni L; Borgianni Y (Politecnico di Milano, 2017)
    La produzione ed il consumo di massa, guidati unicamente da fattori economici, hanno avuto effetti negativi sulle sfere sociali ed ambientali. La necessità di implementare nuove strategie di innovazione rivolte ad orientare ...
  • Labeling the Frames of a Video Stream with Interval Events 

    Persia F; Bettini F; Helmer S (IEEE, 2017)
    We propose a framework for detecting medium-level events referring to intervals of frames of a video stream. The detected events can serve as input for an earlier developed framework detecting high-level surveillance events. ...
  • Language-independent clone detection applied to plagiarism detection 

    Brixtel R; Fontaine M; Lesner B; Bazin C; Robbes R (IEEE Computer Society, 2010)
    Clone detection is usually applied in the context of detecting small-to medium scale fragments of duplicated code in large software systems. In this paper, we address the problem of clone detection applied to plagiarism ...
  • A Large-Scale Empirical Study on Self-Admitted Technical Debt 

    Bavota G; Russo B (ACM, 2016)
    Technical debt is a metaphor introduced by Cunningham to indicate "not quite right code which we postpone making it right". Examples of technical debt are code smells and bug hazards. Several techniques have been proposed ...
  • A layered framework for pattern-based ontology evolution 

    Javed M; Abgaz YM; Pahl C ([s.n.], 2011)
    The challenge of ontology-driven modelling of information components is well known in both academia and industry. In this paper, we present a novel approach to deal with customisation and abstraction of ontology-based model ...
  • Layered patterns in modelling and transformation of service-based software architectures 

    Barrett R; Pahl C (Springer, 2006)
    Service-oriented architecture is a recent paradigm for architectural design. The software engineering aspects in this context, that have not been sufficiently addressed, are software evolution and software migration. ...
  • The LDOS-PerAff-1 Corpus of Face Video Clips with Affective and Personality Metadata 

    Tkalčič M; Tasič J; Košir A (Multimodal-Corpora.org, 2009)
    This paper presents a corpus of video clips of users responding to emotional stimuli. The corpus is unique for two reasons. First, the emotions are annotated in the valence-arousal-dominance space instead of the usual ...
  • Lean Kernels in Description Logics 

    Peñaloza R; Mencía C; Ignatiev A; Marques-Silva J (Springer, 2017)
    Lean kernels (LKs) are an effective optimization for deriving the causes of unsatisfiability of a propositional formula. Interestingly, no analogous notion exists for explaining consequences of description logic (DL) ...
  • Lean startup: why large software companies should care 

    Edison H; Wang X; Abrahamsson P (ACM, 2015)
    Software industry has been shifting from traditional, plan-based software development to agile software development. Agile seems able to prescribe on how to develop a working software faster, but is still unable to give ...
  • Learning DecSerFlow models from labelled traces 

    Lamma E; Mello P; Montali M; Riguzzi F; Storari S (Oregon State University, 2007)
  • "Learning Together": University experiences with students with cognitive difficulties 

    Dodero G; Lorenz WA; Rainer S; Weihrauter S (Universita di Torino, 2016)
    The Free University of Bozen-Bolzano has arranged during 2014 „Learning Together“, a course with and for students with cognitive difficulties. The course, which as far as we know is unique of its kind across Italy, originated ...
  • Learning User Preferences by Observing User-Items Interactions in an IoT Augmented Space 

    Massimo D; Elahi M; Ricci F (ACM, 2017)
    Recommender systems generate recommendations by analysing which items the user consumes or likes. Moreover, in many scenarios, e.g., when a user is visiting an exhibition or a city, users are faced with a sequence of ...
  • Leveraging Relational Technology for Data-Centric Dynamic Systems 

    Calvanese D; Montali M; Patrizi F; Rivkin A (Curran, 2015)
    We base our work on a model called data-centric dynamic system (DCDS), which can be seen as a framework for modeling and verification of systems where both the process controlling the dynamics and the manipulation of data ...
  • Leveraging Robot Programming to Foster Computational Thinking 

    Fronza I; El Ioini N; Corral L (ScitePress, 2017)
     In 2013, ACM recognized Computational Thinking (CT) as “one of the fundamental skills desired of all graduates”. This means that, especially in liberal education environments, one of the challenges of CT courses is to ...
  • Life-Logging for Healthcare Proactive Advisory Systems 

    Nguyen, TS; Ricci, F; Zini, F; Granconato, M (CEUR, 2014)
    Proactive Advisory Systems (PASs) are an extension of Recommender Systems (RSs) that push suggestions and advice even if not explicitly requested, while adapting such advice to the specific contextual situation of the user. ...
  • Life-logs Aggregation for Quality of Life Monitoring 

    Zini, F; Reinstadler, M; Ricci, F (ACM, 2015)
    We investigate how life-logs from commercial wearable trackers and smartphone sensors can be leveraged to automatically provide patients with knowledge for self-reflection on their disease. We present here: (1) An architecture ...
  • Link prediction in evolutionary graphs the case study of the CCIA network 

    Adrian K; Chocron P; Confalonieri R; Ferrer X; Giraldez-Cru J (IOS Press, 2016)
    Studying the prediction of new links in evolutionary networks is a captivating question that has received the interest of different disciplines. Link prediction allows to extract missing information and evaluate network ...
  • Link prediction in multi-modal social networks 

    Symeonidis P; Perentis C (Springer Verlag, 2014)
    Online social networks like Facebook recommend new friends to users based on an explicit social network that users build by adding each other as friends. The majority of earlier work in link prediction infers new interactions ...
  • Linking e-mails and source code artifacts 

    Bacchelli A; Lanza M; Robbes R (ACM, 2010)
    E-mails concerning the development issues of a system constitute an important source of information about high-level design decisions, low-level implementation concerns, and the social structure of developers. Establishing ...