Recent Submissions

  • Network inference from time-dependent Omics data 

    Lecca P; Nguyen T; Priami C; Quaglia P (Humana Press, 2011)
    We provide a commented overview of the available databases for the systematic collection of pathway information and biological models essential for the interpretation of Omics data. Then, we present both the state of the ...
  • On TD-WGcluster: Theoretical foundations and guidelines for the user 

    Re A; Lecca P (Humana Press Inc., 2020)
    We review the TD-WGcluster (time delayed weighted edge clustering) software integrating static interaction networks with time series data in order to detect modules of nodes between which the information flows at similar ...
  • Action Theories 

    Herzig A; Lorini E; Troquard N (Springer, 2018)
    We present the main logical theories of action. We distinguish theories identifying an action with its result from theories studying actions in terms of both their results and the means that result is obtained. The first ...
  • Anti-Pattern Detection: Methods, Challenges, and Open Issues 

    Palomba F; De Lucia A; Bavota G; Oliveto R (Academic Press, 2014)
    Anti-patterns are poor solutions to recurring design problems. They occur in object-oriented systems when developers unwillingly introduce them while designing and implementing the classes of their systems. Several empirical ...
  • Collecting and processing interaction data for recommendation systems 

    Maalej W; Fritz T; Robbes R (Springer, 2014)
    Traditional recommendation systems in software engineering (RSSE) analyze artifacts stored in large repositories to create relevant recommendations. More recently, researchers have started exploring interaction data as a ...
  • Analysing user reviews in tourism with topic models 

    Rossetti M; Stella F; Cao L; Zanker M (Springer, 2015)
    User generated content in general and textual reviews in particular constitute a vast source of information for the decision making of tourists and management and are therefore a key component for e-tourism. This paper ...
  • Designing Efficient Controlled Languages for Ontologies 

    Thorne C; Bernardi R; Calvanese D (Springer, 2014)
    We describe a methodology to recognize efficient controlled natural languages (CLs) that compositionally translate into ontology languages, and as such are suitable to be used in natural language front-ends to ontology-based ...
  • Recognizing Unexplained Behavior in Network Traffic 

    Albanese M; Erbacher RF; Jajodia S; Molinaro C; Persia F; Picariello A; Sperlì G; Subrahmanian VS (Springer, 2014)
    Intrusion detection and alert correlation are valuable and complementary techniques for identifying security threats in complex networks. Intrusion detection systems monitor network traffic for suspicious behavior, and ...
  • Assessing Student Perception of Extreme Apprenticeship for Operating Systems 

    Del Fatto V; Dodero G; Gennari R (IEEE Computer Society, 2014)
    The paper explains how we investigated student perception of Extreme Apprenticeship as applied to an Operating Systems course, via self-report questionnaires. In particular, the paper explains how we analyzed self-efficacy, ...
  • Identifiability and Regression Analysis of Biological Systems Models: Statistical and Mathematical Foundations and R Scripts 

    Lecca P (Springer, 2020)
    This richly illustrated book presents the objectives of, and the latest techniques for, the identifiability analysis and standard and robust regression analysis of complex dynamical models. The book first provides a ...
  • Computational Aspects of Concept Invention 

    Confalonieri R; Plaza E; Schorlemmer M (Springer, 2018)
    In this chapter, we present a computational framework that models concept invention. The framework is based on and extends conceptual blending. Apart from the blending mechanism modeling the creation of new concepts, the ...
  • Enabling Technologies for Concept Invention 

    Confalonieri R; Besold RT; Codescu M; Eppe M (Springer, 2018)
    The goal of the COINVENT project was not only to develop a novel, computationally feasible, formal model of conceptual blending that was sufficiently precise for capturing the fundamental insights of Fauconnier and Turner’s ...
  • A Lightweight Container Middleware for Edge Cloud Architectures 

    von Leon D; Miori L; Sanin J; El Ioini N; Helmer S; Pahl C (Wiley, 2018)
    Containers form the basis of a middleware platform that suits the needs of platform‐as‐a‐service (PaaS) clouds, where application packaging and orchestration are key issues. This chapter introduces architecture requirements ...
  • Identifying Innovative Idea Proposals with Topic Models—A Case Study from SPA Tourism 

    Sottocornola G; Stella F; Symeonidis P; Zanker M; Krajger I; Faullant R; Schwarz E (Springer, 2019)
    This chapter builds on a dataset where online users of a spa platform participated in an online idea contest providing free-text descriptions of their proposals for spa services. A panel of domain experts annotated these ...
  • Preface 

    Lecca P (Springer, 2013)
  • Mechanistic models of astrocytic glucose metabolism calibrated on pet images 

    Lecca P; Lecca M (Springer, 2013)
    We presents two models of glucose metabolism in astrocytes based on ordinary differential equations calibrated on18 F-deoxyglucose PET images. The signals detected during physiological activation of the brain with18 ...
  • A model predicting rolling cells percentage in inflamed brain venules 

    Lecca P; Constantin G; Laudanna C; Priami C (Springer, 2013)
    We present a stochastic model of the lymphocytes recruitment in inflamed brain microvessels. The framework used is based on stochastic process algebras for mobile systems. The automatic tool used in the simulation is the ...
  • Deterministic Versus Stochastic Modelling in Biochemistry and Systems Biology 

    Lecca P; Laurenzi I; Jordan F (Woodhead Publishing, 2013)
    Stochastic kinetic methods are currently considered to be the most realistic and elegant means of representing and simulating the dynamics of biochemical and biological networks. Deterministic versus stochastic modelling ...
  • HUMANIZE '17 : Proceedings of the 2017 ACM Workshop on Theory-Informed User Modeling for Tailoring and Personalizing Interfaces 

    Graus M; Ferwerda B; Schedl M; Willemsen M; Tkalcic M; Germanakos P (ACM, 2017)
    It is our great pleasure to welcome you to the first workshop on Theory-Informed User Modeling for Tailoring and Personalizing Interfaces (HUMANIZE), organized in conjunction with ACM's 2017 Intelligent User Interfaces ...
  • Cold Start Solutions For Recommendation Systems 

    Bakhshandegan Moghaddam F; Elahi M (IET, 2019)
    Recommendation systems are essential tools to overcome the choice overload problem by suggesting items of interest to users. However, they suffer from a major challenge which is the so-called cold-start problem. The ...

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