A Multi-Stage Machine Learning Approach to Predict Dengue Incidence: A Case Study in Mexico

Annalisa Appice, Yulia R. Gel, Iliyan Iliev, Vyacheslav Lyubchich, Donato Malerba. A Multi-Stage Machine Learning Approach to Predict Dengue Incidence: A Case Study in Mexico. IEEE Access, 8:52713-52725, 2020. [doi]

@article{AppiceGILM20,
  title = {A Multi-Stage Machine Learning Approach to Predict Dengue Incidence: A Case Study in Mexico},
  author = {Annalisa Appice and Yulia R. Gel and Iliyan Iliev and Vyacheslav Lyubchich and Donato Malerba},
  year = {2020},
  doi = {10.1109/ACCESS.2020.2980634},
  url = {https://doi.org/10.1109/ACCESS.2020.2980634},
  researchr = {https://researchr.org/publication/AppiceGILM20},
  cites = {0},
  citedby = {0},
  journal = {IEEE Access},
  volume = {8},
  pages = {52713-52725},
}