A novel automatic diagnostic approach based on nystagmus feature selection and neural network classification

Amine Ben Slama, Aymen Mouelhi, Hanene Sahli, Sondes Manoubi, Mamia Ben Salah, Mounir Sayadi, Hedi Trabelsi, Farhat Fnaiech. A novel automatic diagnostic approach based on nystagmus feature selection and neural network classification. In IECON 2016 - 42nd Annual Conference of the IEEE Industrial Electronics Society, Florence, Italy, October 23-26, 2016. pages 5165-5170, IEEE, 2016. [doi]

@inproceedings{SlamaMSMSSTF16,
  title = {A novel automatic diagnostic approach based on nystagmus feature selection and neural network classification},
  author = {Amine Ben Slama and Aymen Mouelhi and Hanene Sahli and Sondes Manoubi and Mamia Ben Salah and Mounir Sayadi and Hedi Trabelsi and Farhat Fnaiech},
  year = {2016},
  doi = {10.1109/IECON.2016.7793010},
  url = {https://doi.org/10.1109/IECON.2016.7793010},
  researchr = {https://researchr.org/publication/SlamaMSMSSTF16},
  cites = {0},
  citedby = {0},
  pages = {5165-5170},
  booktitle = {IECON 2016 - 42nd Annual Conference of the IEEE Industrial Electronics Society, Florence, Italy, October 23-26, 2016},
  publisher = {IEEE},
  isbn = {978-1-5090-3474-1},
}