Alessandro Daniele

Researcher

    Short bio

    I received my master degree in Computer Science at Università degli Studi di Padova and my Ph.D. at Università degli Studi di Firenze. During my Ph.D. I worked in the Data Knowledge and Management (DKM) group at FBK, where I am currently a researcher in Neural-Symbolic Integration.

    Research topics

    My research topics is about the integration of logical knowledge with neural networks models, with a particular focus on relational domains.

    Publications

    1. Daniele, Alessandro; Serafini, Luciano,
      Knowledge Enhanced Neural Networks for Relational Domains,
      in «»,
      Proceedings of AIxIA 2022 – Advances in Artificial Intelligence: XXIst International Conference of the Italian Association for Artificial Intelligence,
      ,
      2023
      , pp. 91-
      109
    2. Grilli, Eleonora; Daniele, Alessandro; Bassier, Maarten; Remondino, Fabio; Serafini, Luciano,
      Knowledge Enhanced Neural Networks for Point Cloud Semantic Segmentation,
      in «»,
      REMOTE SENSING,
      ,
      2023
      , pp. 2590-
    3. Daniele, Alessandro; van Krieken, Emile; Serafini, Luciano; van Harmelen, Frank,
      Refining neural network predictions using background knowledge,
      in «»,
      MACHINE LEARNING,
      ,
      2023
      , pp. -
    4. Daniele, Alessandro; Serafini, Luciano,
      Knowledge Enhanced Neural Networks,
      PRICAI 2019: Trends in Artificial Intelligence,
      2019
      , pp. 542-
      554