A Hybrid Approach Based on Genetic Algorithm with Ranking Aggregation for Feature Selection

Bui Quoc Trung, Le Minh Duc, Bui Thi Mai Anh. A Hybrid Approach Based on Genetic Algorithm with Ranking Aggregation for Feature Selection. In Hamido Fujita, Philippe Fournier-Viger, Moonis Ali, Yinglin Wang, editors, Advances and Trends in Artificial Intelligence. Theory and Practices in Artificial Intelligence - 35th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2022, Kitakyushu, Japan, July 19-22, 2022, Proceedings. Volume 13343 of Lecture Notes in Computer Science, pages 226-239, Springer, 2022. [doi]

@inproceedings{TrungDA22,
  title = {A Hybrid Approach Based on Genetic Algorithm with Ranking Aggregation for Feature Selection},
  author = {Bui Quoc Trung and Le Minh Duc and Bui Thi Mai Anh},
  year = {2022},
  doi = {10.1007/978-3-031-08530-7_19},
  url = {https://doi.org/10.1007/978-3-031-08530-7_19},
  researchr = {https://researchr.org/publication/TrungDA22},
  cites = {0},
  citedby = {0},
  pages = {226-239},
  booktitle = {Advances and Trends in Artificial Intelligence. Theory and Practices in Artificial Intelligence - 35th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2022, Kitakyushu, Japan, July 19-22, 2022, Proceedings},
  editor = {Hamido Fujita and Philippe Fournier-Viger and Moonis Ali and Yinglin Wang},
  volume = {13343},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-031-08530-7},
}