Distribution Kernel Methods for Multiple-Instance Learning. - Gary Doran (AAAI, 2013)

SMILe: Shuffled Multiple-Instance Learning. - Gary Doran; Soumya Ray (AAAI, 2013)

Learning Instance Concepts from Multiple-Instance Data with Bags as Distributions. - Gary Doran; Soumya Ray (AAAI, 2014)

A Permutation-Based Kernel Conditional Independence Test. - Gary Doran; Krikamol Muandet; Kun Zhang 001; Bernhard Schölkopf (UAI, 2014)

A theoretical and empirical analysis of support vector machine methods for multiple-instance classification. - Gary Doran; Soumya Ray (Mach. Learn., 2014)

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 001; Diana Blaney; et al. (AIPR, 2015)

A Unifying Framework for Learning Bag Labels from Generalized Multiple-Instance Data. - Gary Doran; Andrew Latham; Soumya Ray (IJCAI, 2016)

Precision Instrument Targeting via Image Registration for the Mars 2020 Rover. - Gary Doran; David R. Thompson 001; Tara A. Estlin (IJCAI, 2016)

Multiple-Instance Learning from Distributions. - Gary Doran; Soumya Ray (J. Mach. Learn. Res., 2016)

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; et al. (Sci. Robotics, 2017)

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 (KDD, 2019)

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; et al. (J. Field Robotics, 2020)

Mars Image Content Classification: Three Years of NASA Deployment and Recent Advances. - Kiri Wagstaff; Steven Lu 001; Emily Dunkel; Kevin Grimes; Brandon Zhao; Jesse Cai; Shoshanna B. Cole; Gary Doran; Raymond Francis; Jake H. Lee; Lukas Mandrake (AAAI, 2021)

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)

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)

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)

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; et al. (CoRR, 2023)

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; et al. (IGARSS, 2024)

Evaluating Terrain-Dependent Performance for Martian Frost Detection in Visible Satellite Observations. - Gary Doran; Serina Diniega; Steven Lu 001; Mark Wronkiewicz; Kiri L. Wagstaff (CoRR, 2024)