Datasets

Subject
Creator
Type
Date

subject: Machine Learning date: 2023

Total is 3 Results
Data for Analyzing the Effect of Data Splitting and Covariate Shift on Machine Leaning Based Streamflow Prediction in Ungauged Basins

10.4231/0PG5-KC30

Pin-ching Li , Sayan Dey ORCID logo , Venkatesh Mohan Merwade ORCID logo

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

Codes for Analyzing the Effect of Data Splitting and Covariate Shift on Machine Leaning Based Streamflow Prediction in Ungauged Basins

10.4231/B783-2C47

Pin-ching Li , Sayan Dey ORCID logo , Venkatesh Mohan Merwade ORCID logo

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

Clustering in Machine Learning Pattern Formation of VO2

10.4231/966Q-6F95

Alexandre Zimmers , Dmitri Basov , Erica Carlson ORCID logo , Forrest Simmons , Ivan K. Schuller , Lionel Aigouy , Lukasz Burzawa , Melissa Alzate Banguero , Mumtaz Qazilbash , Pavel Salev , Sayan Basak ORCID logo

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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