Gary Doran

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 13

Top Topics

Multiple Instance

Markov Property

Top Venues

Publications

Gary Doran, Serina Diniega, Steven Lu, Mark Wronkiewicz, Kiri L. Wagstaff
Evaluating Terrain-Dependent Performance for Martian Frost Detection in Visible Satellite Observations. CoRR (2024)
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
Onboard Science Instrument Autonomy for the Detection of Microscopy Biosignatures on the Ocean Worlds Life Surveyor. CoRR (2023)
Kiri L. Wagstaff, Ingrid J. Daubar, Gary Doran, Michael J. Munje, Valentin Tertius Bickel, Annabelle Gao, Joe Pate, Daniel Wexler
Using Machine Learning to Reduce Observational Biases When Detecting New Impacts on Mars. CoRR (2022)
Gary Doran, Ameya Daigavane, Kiri L. Wagstaff
Resource Consumption and Radiation Tolerance Assessment for Data Analysis Algorithms Onboard Spacecraft. IEEE Trans. Aerosp. Electron. Syst. 58 (6) (2022)
Ameya Daigavane, Kiri L. Wagstaff, Gary Doran, Corey J. Cochrane, Caitriona M. Jackman, Abigail Rymer
Unsupervised detection of Saturn magnetic field boundary crossings from plasma spectrometer data. Comput. Geosci. 161 (2022)
Kiri Wagstaff, Steven Lu, Emily Dunkel, Kevin Grimes, Brandon Zhao, Jesse Cai, Shoshanna B. Cole, Gary Doran, Raymond Francis, Jake H. Lee, Lukas Mandrake
Mars Image Content Classification: Three Years of NASA Deployment and Recent Advances. AAAI (2021)
Kiri Wagstaff, Steven Lu, Emily Dunkel, Kevin Grimes, Brandon Zhao, Jesse Cai, Shoshanna B. Cole, Gary Doran, Raymond Francis, Jake H. Lee, Lukas Mandrake
Mars Image Content Classification: Three Years of NASA Deployment and Recent Advances. CoRR (2021)
Daniel M. Gaines, Gary Doran, Michael Paton, Brandon Rothrock, Joseph Russino, Ryan Mackey, Robert C. Anderson, Raymond Francis, Chet Joswig, Heather Justice, Ksenia Kolcio, Gregg Rabideau, Steve R. Schaffer, Jacek Sawoniewicz, Ashwin Vasavada, Vincent Wong, Kathryn Yu, Ali-akbar Agha-mohammadi
Self-reliant rovers for increased mission productivity. J. Field Robotics 37 (7) (2020)
Kiri L. Wagstaff, Gary Doran, Ashley Davies, Saadat Anwar, Srija Chakraborty, Marissa Cameron, Ingrid Daubar, Cynthia A. Phillips
Enabling Onboard Detection of Events of Scientific Interest for the Europa Clipper Spacecraft. KDD (2019)
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
AEGIS autonomous targeting for ChemCam on Mars Science Laboratory: Deployment and results of initial science team use. Sci. Robotics 2 (7) (2017)
Gary Doran, David R. Thompson, Tara A. Estlin
Precision Instrument Targeting via Image Registration for the Mars 2020 Rover. IJCAI (2016)
Gary Doran, Soumya Ray
Multiple-Instance Learning from Distributions. J. Mach. Learn. Res. 17 (2016)
Gary Doran, Andrew Latham, Soumya Ray
A Unifying Framework for Learning Bag Labels from Generalized Multiple-Instance Data. IJCAI (2016)
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
AEGIS autonomous targeting for the Curiosity rover's ChemCam instrument. AIPR (2015)
Gary Doran, Soumya Ray
Learning Instance Concepts from Multiple-Instance Data with Bags as Distributions. AAAI (2014)
Gary Doran, Soumya Ray
A theoretical and empirical analysis of support vector machine methods for multiple-instance classification. Mach. Learn. 97 (1-2) (2014)
Gary Doran, Krikamol Muandet, Kun Zhang, Bernhard Schölkopf
A Permutation-Based Kernel Conditional Independence Test. UAI (2014)
Gary Doran, Soumya Ray
SMILe: Shuffled Multiple-Instance Learning. AAAI (2013)
Gary Doran
Distribution Kernel Methods for Multiple-Instance Learning. AAAI (2013)