Alden Keefe Sampson
Carestream (United States)(US)Dynamic Systems (United States)(US)
Publications by Year
Research Areas
Hydrological Forecasting Using AI, Hydrology and Watershed Management Studies, Flood Risk Assessment and Management, Computational Physics and Python Applications, Meteorological Phenomena and Simulations
Most-Cited Works
- → Toward Improved Predictions in Ungauged Basins: Exploiting the Power of Machine Learning(2019)922 cited
- → What Role Does Hydrological Science Play in the Age of Machine Learning?(2020)711 cited
- → Uncertainty estimation with deep learning for rainfall–runoff modeling(2022)205 cited
- → Uncertainty Estimation with Deep Learning for Rainfall-Runoff Modelling(2020)52 cited
- → Physically Informed Machine Learning for Hydrological Modeling Under Climate Nonstationarity(2019)51 cited
- → Technical note: Data assimilation and autoregression for using near-real-time streamflow observations in long short-term memory networks(2022)42 cited
- → Post-Processing a Conceptual Rainfall-Runoff Model with an LSTM(2020)30 cited
- → Uncertainty Estimation with Deep Learning for Rainfall–Runoff Modelling(2021)22 cited
- → Towards Improved Predictions in Ungauged Basins: Exploiting the Power of Machine Learning(2019)18 cited