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01/25/2022
A deep mixture density network for outlier-corrected interpolation of crowd-sourced weather data
As the costs of sensors and associated IT infrastructure decreases - as ...
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08/17/2020
Bayesian deep learning for mapping via auxiliary information: a new era for geostatistics?
For geospatial modelling and mapping tasks, variants of kriging - the sp...
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05/22/2020
Deep covariate-learning: optimising information extraction from terrain texture for geostatistical modelling applications
Where data is available, it is desirable in geostatistical modelling to ...
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05/06/2020