Probabilistic Deep Learning to Quantify Uncertainty in Air Quality Forecasting.

Abdulmajid Murad Frank Alexander Kraemer Kerstin Bach Gavin Taylor

Published in: CoRR (2021)

Keyphrases

deep learning
air quality
air pollution
unsupervised learning
machine learning
unsupervised feature learning
probabilistic model
bayesian networks
mental models
urban areas
traffic flow
weakly supervised
information extraction
knn
environmental monitoring
pairwise
image processing
computer vision