Multi-view Genetic Programming Learning to Obtain Interpretable Rule-Based Classifiers for Semi-supervised Contexts. Lessons Learnt

Carlos García-Martínez, Sebastián Ventura. Multi-view Genetic Programming Learning to Obtain Interpretable Rule-Based Classifiers for Semi-supervised Contexts. Lessons Learnt. Int. J. Computational Intelligence Systems, 13(1):576-590, 2020. [doi]

@article{Garcia-Martinez20-3,
  title = {Multi-view Genetic Programming Learning to Obtain Interpretable Rule-Based Classifiers for Semi-supervised Contexts. Lessons Learnt},
  author = {Carlos García-Martínez and Sebastián Ventura},
  year = {2020},
  doi = {10.2991/ijcis.d.200511.002},
  url = {https://doi.org/10.2991/ijcis.d.200511.002},
  researchr = {https://researchr.org/publication/Garcia-Martinez20-3},
  cites = {0},
  citedby = {0},
  journal = {Int. J. Computational Intelligence Systems},
  volume = {13},
  number = {1},
  pages = {576-590},
}