Instance selection for multi-label learning based on a scalable evolutionary algorithm

Juan Antonio Romero del Castillo, Domingo Ortiz-Boyer, Nicolás García-Pedrajas. Instance selection for multi-label learning based on a scalable evolutionary algorithm. In 2021 International Conference on Data Mining, ICDM 2021 - Workshops, Auckland, New Zealand, December 7-10, 2021. pages 843-851, IEEE, 2021. [doi]

@inproceedings{CastilloOG21,
  title = {Instance selection for multi-label learning based on a scalable evolutionary algorithm},
  author = {Juan Antonio Romero del Castillo and Domingo Ortiz-Boyer and Nicolás García-Pedrajas},
  year = {2021},
  doi = {10.1109/ICDMW53433.2021.00108},
  url = {https://doi.org/10.1109/ICDMW53433.2021.00108},
  researchr = {https://researchr.org/publication/CastilloOG21},
  cites = {0},
  citedby = {0},
  pages = {843-851},
  booktitle = {2021 International Conference on Data Mining, ICDM 2021 - Workshops, Auckland, New Zealand, December 7-10, 2021},
  publisher = {IEEE},
  isbn = {978-1-6654-2427-1},
}