99 citations · 223 across the 14 of their papers we have counts for
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cs.LG2021★ 11 cited
Transfer learning to improve streamflow forecasts in data sparse regions
Roland Oruche, Lisa Egede, Tracy Baker +1
Effective water resource management requires information on water availability, both in terms of quality and quantity, spatially and temporally. In this paper, we study the methodo…
stat.ML2021
A spatio-temporal LSTM model to forecast across multiple temporal and spatial scales
Yihao Hu, Fearghal O'Donncha, Paulito Palmes +3
This paper presents a novel spatio-temporal LSTM (SPATIAL) architecture for time series forecasting applied to environmental datasets. The framework was evaluated across multiple s…