1 citations · 2 across the 2 of their papers we have counts for
2 papers
physics.ao-ph2021★ 1 cited
Computationally-Efficient Climate Predictions using Multi-Fidelity Surrogate Modelling
Ben Hudson, Frederik Nijweide, Isaac Sebenius
Accurately modelling the Earth's climate has widespread applications ranging from forecasting local weather to understanding global climate change. Low-fidelity simulations of clim…
cs.DB2021★ 1 cited
A probabilistic database approach to autoencoder-based data cleaning
R. R. Mauritz, F. P. J. Nijweide, J. Goseling +1
Data quality problems are a large threat in data science. In this paper, we propose a data-cleaning autoencoder capable of near-automatic data quality improvement. It learns the st…