Ingrid Daubar

According to our database, Ingrid Daubar authored at least 2 papers between 2019 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2022

Using Machine Learning to Reduce Observational Biases When Detecting New Impacts on Mars.

Kiri L. Wagstaff, Ingrid J. Daubar, Gary Doran, Michael J. Munje, Valentin Tertius Bickel, Annabelle Gao, Joe Pate, Daniel Wexler

CoRR, 2022

2019

Enabling Onboard Detection of Events of Scientific Interest for the Europa Clipper Spacecraft.

Kiri L. Wagstaff, Gary Doran, Ashley Davies, Saadat Anwar, Srija Chakraborty, Marissa Cameron, Ingrid Daubar, Cynthia A. Phillips

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019