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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
Unsupervised detection of Saturn magnetic field boundary crossings from plasma spectrometer data. Comput. Geosci. 161: 105040 (2022) - [j5]Gary Doran
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
Mars Image Content Classification: Three Years of NASA Deployment and Recent Advances. CoRR abs/2102.05011 (2021) - 2020
- [j4]Daniel M. Gaines
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
Enabling Onboard Detection of Events of Scientific Interest for the Europa Clipper Spacecraft. KDD 2019: 2191-2201 - 2017
- [j3]Raymond Francis
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
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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