• AMIDST: A Java toolbox for scalable probabilistic machine learning 

      Masegosa, Andres; Martinez, Ana M.; Ramos-López, Dario; Cabañas, Rafael; Langseth, Helge; Nielsen, Thomas D.; Madsen, Anders L. (Journal article; Peer reviewed, 2018)
      The AMIDST Toolbox is an open source Java software for scalable probabilistic machine learning with a special focus on (massive) streaming data. The toolbox supports a flexible modelling language based on probabilistic ...
    • Probabilistic Models with Deep Neural Networks 

      Masegosa, Andres; Cabañas, Rafael; Langseth, Helge; Nielsen, Thomas D.; Salmeron, Antonio (Peer reviewed; Journal article, 2021)
      Recent advances in statistical inference have significantly expanded the toolbox of probabilistic modeling. Historically, probabilistic modeling has been constrained to very restricted model classes, where exact or approximate ...