32 citations · 97 across the 8 of their papers we have counts for
Showing 2020 · physics.space-phShow all
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physics.space-ph2020★ 29 cited
Incorporating Physical Knowledge into Machine Learning for Planetary Space Physics
A. R. Azari, J. W. Lockhart, M. W. Liemohn +1
Recent improvements in data collection volume from planetary and space physics missions have allowed the application of novel data science techniques. The Cassini mission for examp…
physics.space-ph2020★ 8 cited
The STONE curve: A ROC-derived model performance assessment tool
Michael W. Liemohn, Abigail R. Azari, Natalia Ganushkina +1
A new model validation and performance assessment tool is introduced, the sliding threshold of observation for numeric evaluation (STONE) curve. It is based on the relative operati…