Estimating the Believability of Uncertain Data Inputs in Applications for Alzheimer's Disease Patients

Fatma Ghorbel, Fayçal Hamdi, Elisabeth Métais. Estimating the Believability of Uncertain Data Inputs in Applications for Alzheimer's Disease Patients. In Elisabeth Métais, Farid Meziane, Sunil Vadera, Vijayan Sugumaran, Mohamad Saraee, editors, Natural Language Processing and Information Systems - 24th International Conference on Applications of Natural Language to Information Systems, NLDB 2019, Salford, UK, June 26-28, 2019, Proceedings. Volume 11608 of Lecture Notes in Computer Science, pages 208-219, Springer, 2019. [doi]

@inproceedings{GhorbelHM19-0,
  title = {Estimating the Believability of Uncertain Data Inputs in Applications for Alzheimer's Disease Patients},
  author = {Fatma Ghorbel and Fayçal Hamdi and Elisabeth Métais},
  year = {2019},
  doi = {10.1007/978-3-030-23281-8_17},
  url = {https://doi.org/10.1007/978-3-030-23281-8_17},
  researchr = {https://researchr.org/publication/GhorbelHM19-0},
  cites = {0},
  citedby = {0},
  pages = {208-219},
  booktitle = {Natural Language Processing and Information Systems - 24th International Conference on Applications of Natural Language to Information Systems, NLDB 2019, Salford, UK, June 26-28, 2019, Proceedings},
  editor = {Elisabeth Métais and Farid Meziane and Sunil Vadera and Vijayan Sugumaran and Mohamad Saraee},
  volume = {11608},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-23281-8},
}