A data ensemble approach for real-time air quality forecasting using extremely randomized trees and deep neural networks

Ebrahim Eslami, Ahmed Khan Salman, Yunsoo Choi, Alqamah Sayeed, Yannic Lops. A data ensemble approach for real-time air quality forecasting using extremely randomized trees and deep neural networks. Neural Computing and Applications, 32(11):7563-7579, 2020. [doi]

@article{EslamiSCSL20,
  title = {A data ensemble approach for real-time air quality forecasting using extremely randomized trees and deep neural networks},
  author = {Ebrahim Eslami and Ahmed Khan Salman and Yunsoo Choi and Alqamah Sayeed and Yannic Lops},
  year = {2020},
  doi = {10.1007/s00521-019-04287-6},
  url = {https://doi.org/10.1007/s00521-019-04287-6},
  researchr = {https://researchr.org/publication/EslamiSCSL20},
  cites = {0},
  citedby = {0},
  journal = {Neural Computing and Applications},
  volume = {32},
  number = {11},
  pages = {7563-7579},
}