Gary Doran

According to our database, Gary Doran authored at least 19 papers between 2013 and 2024.

Collaborative distances:

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

2024

Evaluating Terrain-Dependent Performance for Martian Frost Detection in Visible Satellite Observations.

Gary Doran, Serina Diniega, Steven Lu, Mark Wronkiewicz, Kiri L. Wagstaff

CoRR, 2024

Ecopro: Ecological Projection Digital Twin.

Seungwon Lee, Peter Kalmus, Antonio Ferraz, Alex Goodman, Kyle Pearson, Gary Doran, Flynn Platt, Beichen Hu, Ayesha Ekanayaka, Sudip Chakraborty, Emily Kang, Jia Zhang, Sierra Dahiyat, Kyle Cavanaugh

Proceedings of the IGARSS 2024, 2024

2023

Onboard Science Instrument Autonomy for the Detection of Microscopy Biosignatures on the Ocean Worlds Life Surveyor.

Mark Wronkiewicz, Jake H. Lee, Lukas Mandrake, Jack Lightholder, Gary Doran, Steffen Mauceri, Taewoo Kim, Nathan Oborny, Thomas Schibler, Jay Nadeau, James K. Wallace, Eshaan Moorjani, Chris Lindensmith

CoRR, 2023

2022

Resource Consumption and Radiation Tolerance Assessment for Data Analysis Algorithms Onboard Spacecraft.

Gary Doran, Ameya Daigavane, Kiri L. Wagstaff

IEEE Trans. Aerosp. Electron. Syst., 2022

Unsupervised detection of Saturn magnetic field boundary crossings from plasma spectrometer data.

Ameya Daigavane, Kiri L. Wagstaff, Gary Doran, Corey J. Cochrane, Caitriona M. Jackman, Abigail Rymer

Comput. Geosci., 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

2021

Mars Image Content Classification: Three Years of NASA Deployment and Recent Advances.

Kiri Wagstaff, Steven Lu, Emily Dunkel, Kevin Grimes, Brandon Zhao, Jesse Cai, Shoshanna B. Cole, Gary Doran, Raymond Francis, Jake H. Lee, Lukas Mandrake

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Self-reliant rovers for increased mission productivity.

Daniel M. Gaines, Gary Doran, Michael Paton, Brandon Rothrock, Joseph A. Russino, Ryan Mackey, Robert C. Anderson, Raymond Francis, Chet Joswig, Heather Justice, Ksenia Kolcio, Gregg R. Rabideau, Steve R. Schaffer, Jacek Sawoniewicz, Ashwin R. Vasavada, Vincent Wong, Kathryn Yu, Ali-akbar Agha-mohammadi

J. Field Robotics, 2020

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

2017

AEGIS autonomous targeting for ChemCam on Mars Science Laboratory: Deployment and results of initial science team use.

Raymond Francis, Tara A. Estlin, Gary Doran, Stephen Johnstone, Daniel M. Gaines, Vandi Verma, Michael C. Burl, Jens Frydenvang, Suzanne Montaño, Roger C. Wiens, Steven Schaffer, Olivier Gasnault, Lauren DeFlores, Diana Blaney, Benjamin J. Bornstein

Sci. Robotics, 2017

2016

Multiple-Instance Learning from Distributions.

Gary Doran, Soumya Ray

J. Mach. Learn. Res., 2016

Precision Instrument Targeting via Image Registration for the Mars 2020 Rover.

Gary Doran, David R. Thompson, Tara A. Estlin

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

A Unifying Framework for Learning Bag Labels from Generalized Multiple-Instance Data.

Gary Doran, Andrew Latham, Soumya Ray

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

2015

AEGIS autonomous targeting for the Curiosity rover's ChemCam instrument.

Raymond Francis, Tara A. Estlin, Daniel M. Gaines, Benjamin J. Bornstein, Steven Schaffer, Vandi Verma, Robert C. Anderson, Michael C. Burl, Selina Chu, Rebecca Castaño, David R. Thompson, Diana Blaney, Lauren de Flores, Gary Doran, Tony Nelson, Roger C. Wiens

Proceedings of the 2015 IEEE Applied Imagery Pattern Recognition Workshop, 2015

2014

A theoretical and empirical analysis of support vector machine methods for multiple-instance classification.

Gary Doran, Soumya Ray

Mach. Learn., 2014

A Permutation-Based Kernel Conditional Independence Test.

Gary Doran, Krikamol Muandet, Kun Zhang, Bernhard Schölkopf

Proceedings of the Thirtieth Conference on Uncertainty in Artificial Intelligence, 2014

Learning Instance Concepts from Multiple-Instance Data with Bags as Distributions.

Gary Doran, Soumya Ray

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013

SMILe: Shuffled Multiple-Instance Learning.

Gary Doran, Soumya Ray

Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013

Distribution Kernel Methods for Multiple-Instance Learning.

Gary Doran

Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013