Boosting Convolutional Neural Networks Using a Bidirectional Fast Gated Recurrent Unit for Text Categorization

Assia Belherazem, Redouane Tlemsani. Boosting Convolutional Neural Networks Using a Bidirectional Fast Gated Recurrent Unit for Text Categorization. Int. J. Artif. Intell. Mach. Learn., 12(1):1-20, 2022. [doi]

@article{BelherazemT22,
  title = {Boosting Convolutional Neural Networks Using a Bidirectional Fast Gated Recurrent Unit for Text Categorization},
  author = {Assia Belherazem and Redouane Tlemsani},
  year = {2022},
  doi = {10.4018/ijaiml.308815},
  url = {https://doi.org/10.4018/ijaiml.308815},
  researchr = {https://researchr.org/publication/BelherazemT22},
  cites = {0},
  citedby = {0},
  journal = {Int. J. Artif. Intell. Mach. Learn.},
  volume = {12},
  number = {1},
  pages = {1-20},
}