@article{1450020,
      note = {Includes author index.},
      author = {Le Hégarat-Mascle, Sylvie, and Bloch, Isabelle, and  Aldea, Emanuel,},
      url = {http://library.usi.edu/record/1450020},
      title = {Belief functions : theory and applications : 7th  International Conference, BELIEF 2022, Paris, France,  October 26-28, 2022, Proceedings /. International  Conference on Belief Functions},
      abstract = {This book constitutes the refereed proceedings of the 7th  International Conference on Belief Functions, BELIEF 2022,  held in Paris, France, in October 2022. The theory of  belief functions is now well established as a general  framework for reasoning with uncertainty, and has  well-understood connections to other frameworks such as  probability, possibility, and imprecise probability  theories. It has been applied in diverse areas such as  machine learning, information fusion, and pattern  recognition. The 29 full papers presented in this book were  carefully selected and reviewed from 31 submissions. The  papers cover a wide range on theoretical aspects on  mathematical foundations, statistical inference as well as  on applications in various areas including classification,  clustering, data fusion, image processing, and much more.},
      doi = {https://doi.org/10.1007/978-3-031-17801-6},
      recid = {1450020},
      pages = {1 online resource (xi, 317 pages) :},
}