Probabilistic Deep Learning to Quantify Uncertainty in Air Quality Forecasting.
Abdulmajid MuradFrank Alexander KraemerKerstin BachGavin TaylorPublished in: Sensors (2021)
Keyphrases
- deep learning
- air quality
- air pollution
- unsupervised learning
- unsupervised feature learning
- machine learning
- probabilistic model
- generative model
- environmental monitoring
- urban areas
- weakly supervised
- pattern recognition
- mental models
- bayesian networks
- model selection
- decision makers
- pairwise
- image segmentation
- feature selection