A Many-Objective Optimization Approach to Generate Synthetic Datasets based on Real-World Classification Problems

Steffano Pereira, Péricles B. C. de Miranda, Thiago França, Carmelo J. A. Bastos Filho, Tapas Si. A Many-Objective Optimization Approach to Generate Synthetic Datasets based on Real-World Classification Problems. In 2022 IEEE Latin American Conference on Computational Intelligence (LA-CCI), Montevideo, Uruguay, November 23-25, 2022. pages 1-6, IEEE, 2022. [doi]

@inproceedings{PereiraMFFS22,
  title = {A Many-Objective Optimization Approach to Generate Synthetic Datasets based on Real-World Classification Problems},
  author = {Steffano Pereira and Péricles B. C. de Miranda and Thiago França and Carmelo J. A. Bastos Filho and Tapas Si},
  year = {2022},
  doi = {10.1109/LA-CCI54402.2022.9981848},
  url = {https://doi.org/10.1109/LA-CCI54402.2022.9981848},
  researchr = {https://researchr.org/publication/PereiraMFFS22},
  cites = {0},
  citedby = {0},
  pages = {1-6},
  booktitle = {2022 IEEE Latin American Conference on Computational Intelligence (LA-CCI), Montevideo, Uruguay, November 23-25, 2022},
  publisher = {IEEE},
  isbn = {978-1-6654-8858-7},
}