A novel deep learning-based feature selection model for improving the static analysis of vulnerability detection

Canan Batur Sahin, Laith Mohammad Abualigah. A novel deep learning-based feature selection model for improving the static analysis of vulnerability detection. Neural Computing and Applications, 33(20):14049-14067, 2021. [doi]

@article{SahinA21-1,
  title = {A novel deep learning-based feature selection model for improving the static analysis of vulnerability detection},
  author = {Canan Batur Sahin and Laith Mohammad Abualigah},
  year = {2021},
  doi = {10.1007/s00521-021-06047-x},
  url = {https://doi.org/10.1007/s00521-021-06047-x},
  researchr = {https://researchr.org/publication/SahinA21-1},
  cites = {0},
  citedby = {0},
  journal = {Neural Computing and Applications},
  volume = {33},
  number = {20},
  pages = {14049-14067},
}