32 citations · 97 across the 8 of their papers we have counts for
4 papers · 1 filter
Advancing the Scientific Frontier with Increasingly Autonomous Systems
Rashied Amini, Abigail Azari, Shyam Bhaskaran +19
A close partnership between people and partially autonomous machines has enabled decades of space exploration. But to further expand our horizons, our systems must become more capa…
Integrating Machine Learning for Planetary Science: Perspectives for the Next Decade
Abigail R. Azari, John B. Biersteker, Ryan M. Dewey +13
Machine learning (ML) methods can expand our ability to construct, and draw insight from large datasets. Despite the increasing volume of planetary observations, our field has seen…
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…
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…