Approximating Sparse Semi-nonnegative Matrix Factorization for X-Ray Covid-19 Image Classification

Manel Sekma, Amel Mhamdi, Wady Naanaa. Approximating Sparse Semi-nonnegative Matrix Factorization for X-Ray Covid-19 Image Classification. In Costin Badica, Jan Treur, Djamal Benslimane, Bogumila Hnatkowska, Marek Krótkiewicz, editors, Advances in Computational Collective Intelligence - 14th International Conference, ICCCI 2022, Hammamet, Tunisia, September 28-30, 2022, Proceedings. Volume 1653 of Communications in Computer and Information Science, pages 330-336, Springer, 2022. [doi]

@inproceedings{SekmaMN22,
  title = {Approximating Sparse Semi-nonnegative Matrix Factorization for X-Ray Covid-19 Image Classification},
  author = {Manel Sekma and Amel Mhamdi and Wady Naanaa},
  year = {2022},
  doi = {10.1007/978-3-031-16210-7_27},
  url = {https://doi.org/10.1007/978-3-031-16210-7_27},
  researchr = {https://researchr.org/publication/SekmaMN22},
  cites = {0},
  citedby = {0},
  pages = {330-336},
  booktitle = {Advances in Computational Collective Intelligence - 14th International Conference, ICCCI 2022, Hammamet, Tunisia, September 28-30, 2022, Proceedings},
  editor = {Costin Badica and Jan Treur and Djamal Benslimane and Bogumila Hnatkowska and Marek Krótkiewicz},
  volume = {1653},
  series = {Communications in Computer and Information Science},
  publisher = {Springer},
  isbn = {978-3-031-16210-7},
}