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Gary Doran
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2020 – today
- 2024
- [c10]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:
Ecopro: Ecological Projection Digital Twin. IGARSS 2024: 2311-1214 - [i4]Gary Doran, Serina Diniega, Steven Lu, Mark Wronkiewicz, Kiri L. Wagstaff:
Evaluating Terrain-Dependent Performance for Martian Frost Detection in Visible Satellite Observations. CoRR abs/2403.12080 (2024) - 2023
- [i3]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 abs/2304.13189 (2023) - 2022
- [j6]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: 105040 (2022) - [j5]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): 5180-5189 (2022) - [i2]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 abs/2207.05679 (2022) - 2021
- [c9]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: 15204-15213 - [i1]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 abs/2102.05011 (2021) - 2020
- [j4]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:
Self-reliant rovers for increased mission productivity. J. Field Robotics 37(7): 1171-1196 (2020)
2010 – 2019
- 2019
- [c8]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: 2191-2201 - 2017
- [j3]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) - 2016
- [j2]Gary Doran, Soumya Ray:
Multiple-Instance Learning from Distributions. J. Mach. Learn. Res. 17: 128:1-128:50 (2016) - [c7]Gary Doran, Andrew Latham, Soumya Ray:
A Unifying Framework for Learning Bag Labels from Generalized Multiple-Instance Data. IJCAI 2016: 1425-1431 - [c6]Gary Doran, David R. Thompson, Tara A. Estlin:
Precision Instrument Targeting via Image Registration for the Mars 2020 Rover. IJCAI 2016: 3352-3358 - 2015
- [c5]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: 1-5 - 2014
- [j1]Gary Doran, Soumya Ray:
A theoretical and empirical analysis of support vector machine methods for multiple-instance classification. Mach. Learn. 97(1-2): 79-102 (2014) - [c4]Gary Doran, Soumya Ray:
Learning Instance Concepts from Multiple-Instance Data with Bags as Distributions. AAAI 2014: 1802-1808 - [c3]Gary Doran, Krikamol Muandet, Kun Zhang, Bernhard Schölkopf:
A Permutation-Based Kernel Conditional Independence Test. UAI 2014: 132-141 - 2013
- [c2]Gary Doran, Soumya Ray:
SMILe: Shuffled Multiple-Instance Learning. AAAI 2013: 260-266 - [c1]Gary Doran:
Distribution Kernel Methods for Multiple-Instance Learning. AAAI 2013: 1660-1661
Coauthor Index
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