subject: Machine Learning type: dataset date: 2023
10.4231/0PG5-KC30
Pin-ching Li , Sayan Dey , Venkatesh Mohan Merwade
01/23/2023
This resource contains the data used in the study "Analyzing the Effect of Data Splitting and Covariate Shift on Machine Leaning Based Streamflow Prediction in Ungauged Basins" published in Water Resources Research (doi: 10.1029/2023WR034464)
Artificial Neural Network (ANN) covariate shift Hydrology Machine Learning prediction in ungauged basin Random Forest streamflow prediction
10.4231/B783-2C47
Pin-ching Li , Sayan Dey , Venkatesh Mohan Merwade
01/23/2023
This resource contains codes used in the study "Analyzing the Effect of Data Splitting and Covariate Shift on Machine Leaning Based Streamflow Prediction in Ungauged Basins" published in Water Resources Research (doi: 10.1029/2023WR034464)
Artificial Neural Network (ANN) Machine Learning Random Forest streamflow prediction
10.4231/966Q-6F95
Alexandre Zimmers , Dmitri Basov , Erica Carlson , Forrest Simmons , Ivan K. Schuller , Lionel Aigouy , Lukasz Burzawa , Melissa Alzate Banguero , Mumtaz Qazilbash , Pavel Salev , Sayan Basak
04/07/2023
Codes used in "Deep Learning Hamiltonians form Disordered Image Data in Quantum Materials" https://arxiv.org/abs/2211.01490 and the resulting visualizations.
Clustering Machine Learning Physics quantum materials Scientific visualization symmetry Vanadium dioxide VO2
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