Adapting Random Forests to Cope with Heavily Censored Datasets in Survival Analysis

Tossapol Pomsuwan, Alex Alves Freitas. Adapting Random Forests to Cope with Heavily Censored Datasets in Survival Analysis. In 28th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2020, Bruges, Belgium, October 2-4, 2020. pages 697-702, 2020. [doi]

@inproceedings{PomsuwanF20,
  title = {Adapting Random Forests to Cope with Heavily Censored Datasets in Survival Analysis},
  author = {Tossapol Pomsuwan and Alex Alves Freitas},
  year = {2020},
  url = {https://www.esann.org/sites/default/files/proceedings/2020/ES2020-117.pdf},
  researchr = {https://researchr.org/publication/PomsuwanF20},
  cites = {0},
  citedby = {0},
  pages = {697-702},
  booktitle = {28th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2020, Bruges, Belgium, October 2-4, 2020},
}