Now showing items 1-6 of 6

    • Heterogeneous User Actions in Recommender Systems 

      Gurbanov, Tural (Free University of Bozen-Bolzano, 2019)
      Recommender Systems (RSs) are software tools and techniques providing to users suggestions for items, such as what movies to watch, what music to listen to, or what items to buy. These suggestions are usually personalized, ...
    • Inversion of the PROSAIL model from UAV data 

      Tomelleri E; Mejia-Aguilar A (2018)
      At: International Geoscience and Remote Sensing Symposium, IGARSS 2018 ; Valencia : 22.7.2018 - 27.7.2018 ; In this paper, we present an innovative workflow for retrieving biophysical traits of vegetation by means of ...
    • On Knowledge Dependence in Weighted Description Logic 

      Galliani P; Kutz O; Porello D; Righetti G; Troquard N (Easychair, 2019)
      We study a family of operators (called ‘Tooth’ operators) that combine Description Logic concepts via weighted sums. These operators are intended to capture the notion of instances satisfying “enough” of the concept ...
    • A review of further directions for artificial intelligence, machine learning, and deep learning in smart logistics 

      Woschank M; Rauch E; Zsifkovits H (2020)
      Industry 4.0 concepts and technologies ensure the ongoing development of microand macro-economic entities by focusing on the principles of interconnectivity, digitalization, and automation. In this context, artificial ...
    • Statistical modelling of landslides - Landslide susceptibility and beyond 

      Steger S; Kofler C (2019)
      Statistical approaches are routinely applied to analyze landslide processes from several perspectives. During the last decade, the growing accessibility of environmental data as well as an increasing availability of powerful ...
    • 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 ...