Recent Submissions

  • 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 ...
  • On Help and Interpersonal Control 

    Bottazzi E; Troquard N (Springer, 2015)
    Help is not much considered in the literature of analytic social philosophy. According to Tuomela (Cooperation – a philosophical study, Springer, 2000), when a helps an agent b (1) a contributes to the achievement of b’s ...
  • A Novel Strategy for Recommending Multimedia Objects and its Application in the Cultural Heritage Domain 

    Albanese M; d'Acierno A; Moscato V; Persia F; Picariello A (Information Science Reference, 2013)
    One of the most important challenges in the information access field, especially for multimedia repositories, is information overload. To cope with this problem, in this paper, the authors present a strategy for a recommender ...
  • Content-Based Multimedia Retrieval 

    Amato F; Greco L; Persia F; Poccia SR; De Santo A (Springer, 2015)
    Content-based multimedia information retrieval (IR) provides new models and methods for effectively and efficiently “searching” through the huge variety of media that are available in different kinds of repositories (digital ...
  • Constraint-Based Recommender Systems 

    Felfernig A; Friedrich G; Jannach D; Zanker M (Springer, 2015)
    Recommender systems provide valuable support for users who are searching for products in e-commerce environments. Research in the field long focused on rating-based algorithms supporting the recommendation of quality and ...
  • A Multimedia Summarizer Integrating Text and Images 

    d'Acierno A; Gargiulo F; Moscato V; Penta A; Persia F; Picariello A; Sansone C; Sperlì G (Springer, 2015)
    We present a multimedia summarizer system for retrieving relevant information from some web repositories based on the extraction of semantic descriptors of documents. In particular, semantics attached to each document ...
  • Source Factors in Recommender System Credibility Evaluation 

    Yoo K-H; Gretzel U; Zanker M (Springer, 2015)
    Although recommender system research in the last decade has provided significant insight into how users interact with and evaluate systems, the social role of recommender systems as advice givers has been largely neglected. ...
  • Bringing the benefits of Agile techniques inside the classroom: a practical guide 

    Fronza I; El Ioini N; Pahl C; Corral L (Springer, 2019)
    Besides professional programmers, many “end-user programmers” write code in their daily life. Given that so much of end-user-created software suffers from quality problems, Software Engineering (SE) is no longer solely ...
  • ACM Recsys workshop on recommenders in tourism (RecTour 2018) 

    Neidhardt J; Kuflik T; Wörndl W; Zanker M (ACM, 2018)
    The Workshop on Recommenders in Tourism (RecTour) 2018, which is held in conjunction with the 12th ACM Conference on Recommender Systems (RecSys), addresses specific challenges for recommender systems within the tourism ...
  • Matrix and Tensor Factorization with Recommender System Applications 

    Symeonidis P (Chapman and Hall/CRC, 2015)
    Graphs provide an intuitive way of representing connected or interacting entities [GY99]. One can very easily model and study various real-life and scientific structures using graphs, e.g., web pages linking to each other ...
  • Recommender systems for location-based social networks 

    Symeonidis P; Ntempos D; Manolopoulos Y (Springer New York, 2014)
    Online social networks collect information from users' social contacts and their daily interactions (co-tagging of photos, co-rating of products etc.) to provide them with recommendations of new products or friends. Lately, ...
  • GeoSocialRec: Explaining recommendations in location-based social networks 

    Symeonidis P; Krinis A; Manolopoulos Y (Springer, 2013)
    Social networks have evolved with the combination of geographical data, into location-based social networks (LBSNs). LBSNs give users the opportunity, not only to communicate with each other, but also to share images, ...
  • Social tagging recommender systems 

    Marinho LB; Nanopoulos A; Schmidt-Thieme L; Jäschke R; Hotho A; Stumme G; Symeonidis P (Springer US, 2011)
    The new generation of Web applications known as (STS) is successfully established and poised for continued growth. STS are open and inherently social; features that have been proven to encourage participation. But while ...
  • Recommender systems for social tagging systems 

    Marinho LB; Hotho A; Jäschke R; Nanopoulos A; Rendle S; Schmidt-Thieme L; Stumme G; Symeonidis P (Springer Science & Business Media, 2012)
    Social Tagging Systems are web applications in which users upload resources (e.g., bookmarks, videos, photos, etc.) and annotate it with a list of freely chosen keywords called tags. This is a grassroots approach to organize ...

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