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1017 Publications


  • Personalizing and Improving Resource Recommendation by Analyzing Users Preferences in Social Tagging Activities

    Samia Beldjoudi; Hassina Seridi; Catherine Faron Zucker (2017)
    Collaborative tagging which is the keystone of the social practices of web 2.0 has been highly developed in the last few years. In this paper, we propose a new method to analyze user profiles according to their tagging activity in order to improve resource recommendation. We base upon association rules which is a powerful method to discover interesting relationships among large datasets on the web. Focusing on association rules we can find correlations between tags in a social network. Our ai...

    Using a Full Spectral Raytracer for Calculating Light Microclimate in Functional-Structural Plant Modelling

    Michael Henke; Gerhard H. Buck-Sorlin (2018)
    Raytracers that allow the spatially explicit calculation of the fate of light beams in a 3D scene allow the consideration of shading, reflected and transmitted light in functional-structural plant models (FSPM). However, the spectrum of visible light also has an effect on cellular and growth processes. This recently created the interest to extend this modelling paradigm allowing the representation of detailed spectra instead of monochromatic or white light and to extend existing FSPM platform...

    An Ontological Framework for Context-Aware Collaborative Business Process Formulation

    Hanh H. Hoang; Jason J. Jung (2015)
    In cross-enterprise collaborative environment, we have dealt with challenges in business process integration for common business goals. Research directions in this domain range from business to business integration (B2Bi) to service-oriented augmentation. Ontologies are used in Business Process Management (BPM) to reduce the gap between the business world and information technology (IT), especially in the context of cross enterprise collaboration. For a dynamic collaboration, virtual enterpri...

    Investigations into Lamarckism, Baldwinism and Local Search in Grammatical Evolution Guided by Reinforcement

    Jack Mario Mingo; Ricardo Aler; DarĂ­o Maravall; Javier de Lope (2013)
    Grammatical Evolution Guided by Reinforcement is an extension of Grammatical Evolution that tries to improve the evolutionary process adding break a learning process for all the individuals in the population. With this aim, each individual is given a chance to learn through a reinforcement learning mechanism during its lifetime. The learning process is completed with a Lamarckian mechanism in which an original genotype is replaced by the best learnt genotype for the individual. In a way, Gram...

    Finger Vein Recognition by Combining Global and Local Features based on SVM

    Kang Ryoung Park (2012)
    Recently, biometrics such as fingerprints, faces and irises recognition have been widely used in many applications including door access control, personal authentication for computers, internet banking, automatic teller machines and border-crossing controls. Finger vein recognition uses the unique patterns of finger veins to identify individuals at a high level of accuracy. This paper proposes new algorithms for finger vein recognition. This research presents the following three advantages an...
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