Autism Classification Using SMRI: A Recursive Features Selection Based on Sampling from Multi-Level High Dimensional Spaces

Mohamed T. Ali, Yaser A. Elnakieb, Ahmed Shalaby 0002, Ali H. Mahmoud, Andy Switala, Mohammed Ghazal, Adel Khelifi, Luay Fraiwan, Georgy Barnes, Ayman El-Baz. Autism Classification Using SMRI: A Recursive Features Selection Based on Sampling from Multi-Level High Dimensional Spaces. In 18th IEEE International Symposium on Biomedical Imaging, ISBI 2021, Nice, France, April 13-16, 2021. pages 267-270, IEEE, 2021. [doi]

@inproceedings{AliE0MSGKFBE21,
  title = {Autism Classification Using SMRI: A Recursive Features Selection Based on Sampling from Multi-Level High Dimensional Spaces},
  author = {Mohamed T. Ali and Yaser A. Elnakieb and Ahmed Shalaby 0002 and Ali H. Mahmoud and Andy Switala and Mohammed Ghazal and Adel Khelifi and Luay Fraiwan and Georgy Barnes and Ayman El-Baz},
  year = {2021},
  doi = {10.1109/ISBI48211.2021.9433973},
  url = {https://doi.org/10.1109/ISBI48211.2021.9433973},
  researchr = {https://researchr.org/publication/AliE0MSGKFBE21},
  cites = {0},
  citedby = {0},
  pages = {267-270},
  booktitle = {18th IEEE International Symposium on Biomedical Imaging, ISBI 2021, Nice, France, April 13-16, 2021},
  publisher = {IEEE},
  isbn = {978-1-6654-1246-9},
}