An Efficient Computation of Dempster-Shafer Theory of Evidence Based on Native GPU Implementation

Noelia Rico, Luigi Troiano, Irene Díaz. An Efficient Computation of Dempster-Shafer Theory of Evidence Based on Native GPU Implementation. In Thierry Denoeux, Eric Lefèvre, Zhunga Liu, Frédéric Pichon, editors, Belief Functions: Theory and Applications - 6th International Conference, BELIEF 2021, Shanghai, China, October 15-19, 2021, Proceedings. Volume 12915 of Lecture Notes in Computer Science, pages 291-299, Springer, 2021. [doi]

@inproceedings{RicoTD21,
  title = {An Efficient Computation of Dempster-Shafer Theory of Evidence Based on Native GPU Implementation},
  author = {Noelia Rico and Luigi Troiano and Irene Díaz},
  year = {2021},
  doi = {10.1007/978-3-030-88601-1_29},
  url = {https://doi.org/10.1007/978-3-030-88601-1_29},
  researchr = {https://researchr.org/publication/RicoTD21},
  cites = {0},
  citedby = {0},
  pages = {291-299},
  booktitle = {Belief Functions: Theory and Applications - 6th International Conference, BELIEF 2021, Shanghai, China, October 15-19, 2021, Proceedings},
  editor = {Thierry Denoeux and Eric Lefèvre and Zhunga Liu and Frédéric Pichon},
  volume = {12915},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-88601-1},
}