Developing an Efficient Method for Automatic Threshold Detection Based on Hybrid Feature Selection Approach

Heba Mamdouh Farghaly, Abdelmgeid A. Ali, Tarek Abd-El-Hafeez. Developing an Efficient Method for Automatic Threshold Detection Based on Hybrid Feature Selection Approach. In Radek Silhavy, editor, Artificial Intelligence and Bioinspired Computational Methods - Proceedings of the 9th Computer Science On-line Conference 2020, Vol. 2. Volume 1225 of Advances in Intelligent Systems and Computing, pages 56-72, Springer, 2020. [doi]

@inproceedings{FarghalyAA20,
  title = {Developing an Efficient Method for Automatic Threshold Detection Based on Hybrid Feature Selection Approach},
  author = {Heba Mamdouh Farghaly and Abdelmgeid A. Ali and Tarek Abd-El-Hafeez},
  year = {2020},
  doi = {10.1007/978-3-030-51971-1_5},
  url = {https://doi.org/10.1007/978-3-030-51971-1_5},
  researchr = {https://researchr.org/publication/FarghalyAA20},
  cites = {0},
  citedby = {0},
  pages = {56-72},
  booktitle = {Artificial Intelligence and Bioinspired Computational Methods - Proceedings of the 9th Computer Science On-line Conference 2020, Vol. 2},
  editor = {Radek Silhavy},
  volume = {1225},
  series = {Advances in Intelligent Systems and Computing},
  publisher = {Springer},
  isbn = {978-3-030-51971-1},
}