Probabilistic Deep Learning to Quantify Uncertainty in Air Quality Forecasting. Murad, A., Kraemer, F. A., Bach, K., & Taylor, G. Sensors, 21(23):8009, 2021.
Probabilistic Deep Learning to Quantify Uncertainty in Air Quality Forecasting [link]Paper  doi  bibtex   
@article{DBLP:journals/sensors/MuradKBT21,
  author       = {Abdulmajid Murad and
                  Frank Alexander Kraemer and
                  Kerstin Bach and
                  Gavin Taylor},
  title        = {Probabilistic Deep Learning to Quantify Uncertainty in Air Quality
                  Forecasting},
  journal      = {Sensors},
  volume       = {21},
  number       = {23},
  pages        = {8009},
  year         = {2021},
  url          = {https://doi.org/10.3390/s21238009},
  doi          = {10.3390/S21238009},
  timestamp    = {Fri, 21 Jan 2022 00:00:00 +0100},
  biburl       = {https://dblp.org/rec/journals/sensors/MuradKBT21.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

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