Dr. Kiri Wagstaff
Contact
Email: kiri.l.wagstaff@jpl.nasa.govOffice: 158-206
Mail Stop: 158-242
4800 Oak Grove Drive
Pasadena, CA 91109
Education
Computer Science (PhD) - Cornell UniversityComputer Science (MS) - Cornell University
Computer Science (BS) - University of Utah
Geological Sciences (MS) - University of Southern California
Library Science (MLIS) - San José State University
Research Interests
Unsupervised learning and novelty detectionActive learning
Machine learning for science applications
Spacecraft autonomy and on-board data analysis
Publications
Kerner, Hannah R and Rebbapragada, Umaa and Wagstaff, Kiri L and Lu, Steven and Dubayah, Bryce and Huff, Eric and Lee, Jake and Raman, Vinay and Kulshrestha, Sakshum.
Domain-Agnostic Outlier Ranking Algorithms—A Configurable Pipeline for Facilitating Outlier Detection in Scientific Datasets.
Frontiers in Astronomy and Space Sciences.
Link to publisher's site
Yuliya Marchetti, Caleb Wagner, Philip Twu, Marissa Cameron, Glenn Reeves, Grace Tan-Wang, Steve Chien, Rebecca Castano, Kiri Wagstaff.
In-situ Science Data Analysis and Curation for the Europa Lander Autonomous Mission Prototype.
Planetary Science Informatics and Data Analytics Conference (PSIDA).
(Link to publisher's site)
Kiri Wagstaff, Steven Lu, Emily Dunkel, Kevin Grimes, Brandon Zhao, Jesse Cai, Shoshanna B. Cole, Gary Doran, Raymond Francis, Jake Lee, and Lukas Mandrake.
Mars Image Content Classification: Three Years of NASA Deployment and Recent Advances.
Proceedings of the Thirty-Third Annual Conference on Innovative Applications of Artificial Intelligence, 2021.
(Link to PDF)
(CL#20-6521)
IAAI Deployed Application Award
Kiri L. Wagstaff, Raymond Francis, Matthew Golombek, Steven Lu, Ellen Riloff, Leslie Tamppari, and Thomas C. Stein.
The Mars Target Encyclopedia Now Includes Mars Pathfinder and Mars Phoenix Targets.
52nd Lunar and Planetary Science Conference, Abstract #1278, 2021.
(Link to publisher's site)
(CL#20-6537)
Steven Lu, Brandon Zhao, Kiri L. Wagstaff, Shoshanna B. Cole, and Kevin Grimes.
Content-Based Classification of Mars Exploration Rover Pancam Images.
52nd Lunar and Planetary Science Conference, Abstract #1779, 2021.
(Link to publisher's site)
(CL#21-0100)
Hannah R. Kerner, Kiri L. Wagstaff, Steven Lu, Raymond Francis, and Shakshum Kulshrestha.
Novelty-Driven Onboard Target Selection in Grayscale and Color Mars Rover Images.
52nd Lunar and Planetary Science Conference, Abstract #2618, 2021.
(Link to publisher's site)
David E. Stillman, Katie M. Primm, Brian Bue, Kiri L. Wagstaff, Jake H. Lee, and Adnan Ansar.
RSL Geostatistics Show Slopes Above the Angle of Repose and Significant Enhancement After Mars Year 34 Dust Storm.
52nd Lunar and Planetary Science Conference, Abstract #1578, 2021.
(Link to publisher's site)
Annabelle Gao, Ingrid J. Daubar, Daniel Wexler, Kiri L. Wagstaff, Valentin Bickel, and Gary Doran.
Using Machine Learning to Complement New Martian Crater Inventories.
52nd Lunar and Planetary Science Conference, Abstract #1674, 2021.
(Link to publisher's site)
Kiri L. Wagstaff, Raymond Francis, Hannah Kerner, Steven Lu, Favour Nerrise, James F. Bell III, Gary Doran, and Umaa Rebbapragada.
Novelty-Driven Onboard Targeting for Mars Rovers.
Proceedings of the International Symposium on Artificial Intelligence, Robotics and Automation in Space, 2020.
(Link to publisher's site)
(CL#20-5333)
Ameya Daigavane, Kiri Wagstaff, Gary Doran, Corey Cochrane, Caitriona Jackman, and Abigail Rymer.
Detection of Environment Transitions in Time Series Data for Responsive Science.
6th KDD Workshop on Mining and Learning for Time Series, 2020.
(Link to PDF)
(CL#20-3613)
Michael J. Munje, Ingrid J. Daubar, Gary Doran, Kiri Wagstaff, and Lukas Mandrake.
Large-Scale Automated Detection of Fresh Impacts on Mars Using Machine Learning with CTX Observations.
11th Planetary Crater Consortium, Abstract #2065, 2020.
(Link to PDF)
(CL#20-2315)
Kiri Wagstaff and Steven Lu.
Efficient Active Learning in New Domains.
ICML Workshop on Real World Experiment Design and Active Learning, 2020.
(Link to PDF)
(CL#20-2925)
Gary Doran, Kiri L. Wagstaff, Jonathan Bapst, Ashley G. Davies, and Saadat Anwar.
Assessing the Susceptibility of Europa Clipper Onboard Thermal Anomaly Detection to Radiation.
51st Lunar and Planetary Science Conference, Abstract #2193, 2020.
(Link to PDF)
(CL#20-1324)
Jake H. Lee and Kiri L. Wagstaff.
Visualizing Image Content to Explain Novel Image Discovery.
Data Mining and Knowledge Discovery, 34(6), p. 1777-1804, 2020.
(Link to publisher's site)
(CL#20-2863)
See also: Paper website for code, data, etc.
Hannah R. Kerner, Kiri L. Wagstaff, Brian D. Bue, Danika F. Wellington, Samantha Jacob, Paul Horton, James F. Bell III, Chiman Kwan, and Heni Ben Amor.
Comparison of Novelty Detection Methods for Multispectral Images in Rover-based Planetary Exploration Missions.
Data Mining and Knowledge Discovery, vol. 34(6), p. 1652-1675, 2020.
(Link to publisher's site)
Gary Doran, Steven Lu, Maria Liukis, Lukas Mandrake, Umaa Rebbapragada, Kiri L. Wagstaff, Jimmie Young, Erik Langert, Anneliese Braunegg, Paul Horton, Daniel Jeong, and Asher Trockman.
COSMIC: Content-based Onboard Summarization to Monitor Infrequent Change.
Proceedings of the IEEE Aerospace Conference, 2020.
(Link to publisher's site)
(CL#19-8223)
Masahiro Ono, Gary Doran, Erik Langert, Kiri Wagstaff, David Inkyu Kim, Aaron Gaut, Tara Estlin, Abhi Jain, Marissa Cameron, David Muliere, Erik Roberts, Kristopher Kriechbaum, and Glenn Reeves.
ARIEL: Autonomous Excavation Site Selection for Europa Lander Mission Concept.
Proceedings of the IEEE Aerospace Conference, 2020.
(Link to publisher's site)
David E. Stillman, Brian D. Bue, Kiri L. Wagstaff, Katherine M. Primm, Tim I. Michaels, and Robert E. Grimm.
Evaluation of wet and dry Recurring Slope Lineae (RSL) formation mechanisms based on quantitative mapping of RSL in Garni Crater, Valles Marineris, Mars.
Icarus, vol. 335, 2020.
(Link to publisher's site)
Lu, SL and Wagstaff, KLW and Cai, JC and Doran, GD and Grimes, KG and Lee, JL and Mandrake, LM and Yue, YY.
Improved Content-Based Image Classifiers for the PDS Image Atlas.
4th Planetary Data Workshop.
link to publisher's site
Hannah R. Kerner, Kiri L. Wagstaff, Brian D. Bue, Patrick C. Gray, James F. Bell III, and Heni Ben Amor.
Toward Generalized Change Detection on Planetary Surfaces with Convolutional Autoencoders and Transfer Learning.
Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 12, issue 10, p. 3900-3918, 2019.
(Link to publisher's site)
Kiri Wagstaff, Gary Doran, Ashley Davies, Saadat Anwar, Srija Chakraborty, Marissa Cameron, Ingrid Daubar, and Cynthia Phillips.
Enabling Onboard Detection of Events of Scientific Interest for the Europa Clipper Spacecraft.
Proceedings of the 25th International Conference on Knowledge Discovery and Data Mining (KDD), p. 2191-2201, 2019.
(Link to PDF)
(CL#19-2720)
Gary Doran, Kiri L. Wagstaff, Marissa Cameron, Ingrid Daubar, and Cynthia Phillips.
Automatic Plume Detection for the Europa Imaging System.
Fourth Planetary Data Workshop, Abstract #7026, 2019.
(Link to PDF)
(CL#19-1858)
Steven Lu, Kiri L. Wagstaff, Jesse Cai, Gary Doran, Kevin Grimes, Jake Lee, Lukas Mandrake, and Yisong Yue.
Improved Content-Based Image Classifiers for the PDS Image Atlas.
Fourth Planetary Data Workshop, Abstract #7028, 2019.
(Link to PDF)
(CL#19-1913)
Kiri L. Wagstaff, Diana L. Blaney, Srija Chakraborty, Steve A. Chien, Ashley G. Davies, Serina Diniega, and Gary Doran.
Spectral Anomaly Detection for the Mapping Imaging Spectrometer for Europa (MISE).
50th Lunar and Planetary Science Conference, Abstract #1604, 2019.
(Link to PDF)
(CL#18-7593)
Thomas C. Stein, Raymond E. Arvidson, Scott J. Van Bommel, Kiri L. Wagstaff, and F. Zhou.
MSL Analyst's Notebook: Curiosity APXS Concentration Data Integration and Mars Target Encyclopedia and Interface Updates.
50th Lunar and Planetary Science Conference, Abstract #1820, 2019.
Hannah R. Kerner, Danika F. Wellington, Kiri L. Wagstaff, James F. Bell, and Heni Ben Amor.
Novelty Detection for Multispectral Images with Application to Planetary Exploration.
Proceedings of the Thirty-First Annual Conference on Innovative Applications of Artificial Intelligence, 2019.
(Link to PDF)
(CL#18-6943)
Gary Doran, Ashley G. Davies, Kiri L. Wagstaff, Saadat Anwar, Diana L. Blaney, Steve Chien, Phil Christensen, and Serina Diniega.
Onboard Detection of Thermal Anomalies for Europa Clipper.
Proceedings of the European Planetary Science Congress, 2018.
(Link to PDF)
(CL#18-4314)
Kiri L. Wagstaff and Jake Lee.
Interpretable Discovery in Large Image Data Sets.
Proceedings of the Workshop on Human Interpretability in Machine Learning (WHI), 2018.
(Link to PDF)
(CL#18-3125)
See also: Paper website for code, data, etc.
Kiri L. Wagstaff, Raymond Francis, Thamme Gowda, You Lu, Ellen Riloff, Karanjeet Singh, and Nina L. Lanza.
Mars Target Encyclopedia: Rock and Soil Composition Extracted from the Literature.
Proceedings of the Thirtieth Annual Conference on Innovative Applications of Artificial Intelligence, 2018.
(Link to PDF)
(CL#17-6080)
Kiri L. Wagstaff, You Lu, Alice Stanboli, Kevin Grimes, Thamme Gowda, and Jordan Padams.
Deep Mars: CNN Classification of Mars Imagery for the PDS Imaging Atlas.
Proceedings of the Thirtieth Annual Conference on Innovative Applications of Artificial Intelligence, 2018.
(Link to PDF)
(CL#17-6072)
Kiri L. Wagstaff, Alphan Altinok, Steve Chien, Umaa Rebbapragada, Steve Schaffer, David R. Thompson, and Daniel Tran.
Cloud Filtering and Novelty Detection using Onboard Machine Learning for the EO-1 Spacecraft.
IJCAI 2017 Workshop on AI in the Oceans and Space.
(Link to PDF)
(CL#17-2844)
Gary Doran, Umaa Rebbapragada, Eugenie Song, Kiri L. Wagstaff, Daniel Gaines, Robert Anderson, Ashwin Vasavada.
Scientist-Guided Autonomy for Self-Reliant Rovers.
IJCAI 2017 Workshop on AI in the Oceans and Space.
(Link to PDF)
(CL#17-3749)
Steve Chien and Kiri L. Wagstaff.
Robotic Space Exploration Agents.
Science Robotics, 2(7), 2017.
(Link to publisher's site)
(CL#17-2089)
Steve Chien, Joshua Doubleday, David R. Thompson, Kiri L. Wagstaff, John Bellardo, Craig Francis, Eric Baumgarten, Austin Williams, Edmund Yee, Eric Stanton, and Jordi Piug-Suari.
Onboard Autonomy on the Intelligent Payload EXperiment CubeSat Mission.
Journal of Aerospace Information Systems, 2017.
(Link to publisher's site)
(CL#16-0521)
Raymond Francis, Tara A Estlin, Kiri L Wagstaff, Gary Doran, Lukas Mandrake.
Instrument Autonomy Techniques Enhance Science Return and Efficiency of Surface Missions.
3rd International Workshop on Instrumentation for Planetary Missions, 2016.
(Link to publisher's site)
(CL#16-4304)
Kiri L Wagstaff, Alphan Altinok, Brian Bue, Steve A Chien, Lukas Mandrake.
Instrument Science Autonomy for Orbital and Flyby Planetary Missions.
3rd International Workshop on Instrumentation for Planetary Missions, 2016.
(Link to publisher's site)
(CL#16-4303)
Sarah Burke-Spolaor, Cathryn M. Trott, Walter F. Brisken, Adam T. Deller, Walid A. Majid, Divya Palaniswamy, David R. Thompson, Steven J. Tingay, Kiri L. Wagstaff, and Randall B. Wayth.
Limits on Fast Radio Bursts from Four Years of the V-FASTR Experiment.
The Astrophysical Journal, 826(2), 2016.
(Link to publisher's site)
(CL#16-4308)
Kiri L. Wagstaff, Benyang Tang, David R. Thompson, Shakeh Khudikyan, Jane Wyngaard, Adam T. Deller, Divya Palaniswamy, Steven J. Tingay, and Randall B. Wayth.
A Machine Learning Classifier for Fast Radio Burst Detection at the VLBA.
Publications of the Astronomical Society of the Pacific, 128:966(084503), 2016.
(Link to publisher's site)
(CL#16-0942)
Kiri L. Wagstaff, Ellen Riloff, Nina L. Lanza, Chris A. Mattmann, and Paul M. Ramirez.
Creating a Mars Target Encyclopedia by Extracting Information from the Planetary Science Literature.
AAAI-16 Workshop on Workshop on Knowledge Extraction from Text.
(Link to PDF)
(CL#15-5656)
Thomas Fuchs, David R. Thompson, Brian Bue, Julie Castillo, Steve Chien, Dero Gharibian, and Kiri Wagstaff.
Enhanced Flyby Science with Onboard Computer Vision: Tracking and Surface Feature Detection at Small Bodies.
Earth and Space Science, 2015.
(Link to publisher page)
(CL#15-4985)
David R. Thompson, Alphan Altinok, Ben Bornstein, Steve A. Chien, Joshua Doubleday, John Bellardo, and Kiri L. Wagstaff.
Onboard Machine Learning Classification of Images by a Cubesat in Earth Orbit.
AI Matters, 2015.
(Link to publisher page)
(CL#15-2017)
Kiri L. Wagstaff, Gary B. Doran, Ravi Kiran, Lukas Mandrake, Norbert Schorghofer, and Alice Stanboli.
Landmark Classification and Content-Based Search for Mars Orbital Imagery.
Second Planetary Data Workshop, 2015.
(Link to PDF)
(CL#15-1429)
Andrew F. Hart, Luca Cinquini, Shakeh E. Khudikyan, David R. Thompson, Chris A. Mattmann, Kiri Wagstaff, Joseph Lazio, and Dayton Jones.
A Framework for Collaborative Review of Candidate Events in High Data Rate Streams: The V-FASTR Experiment as a Case Study.
Astronomical Journal, 2015.
(Link to publisher's page)
(CL#14-4569)
Brian D. Bue, Kiri L. Wagstaff, Umaa D. Rebbapragada, David R. Thompson, and Benyang Tang.
Astronomical Data Triage for Rapid Science Return.
Proceedings of the Big Data from Space Conference, 2014.
(Link to PDF)
(CL#14-4231)
Kiri L. Wagstaff, David R. Thompson, Brian D. Bue, Thomas J. Fuchs.
Autonomous Real-time Detection of Plumes and Jets from Moons and Comets.
The Astrophysical Journal, 794(1), 2014.
(Link to publisher's page)
(CL#14-3527)
Andrew F. Hart, Luca Cinquini, Shakeh E. Khudikyan, David R. Thompson, Chris A. Mattmann, Kiri L. Wagstaff, Joseph Lazio, Dayton Jones.
Supporting Distributed, Collaborative Review and Classification of Fast Transient Events.
Computer, 47(9), 65-66, 2014.
(Link to publisher's page)
Kiri L. Wagstaff, Ravi Kiran, Lukas Mandrake, Norbert Schorghofer, Alexander Smith, Ben Bornstein.
Big Data Tools Come to Mars: Content-Based Analysis of Mars Orbital Imagery.
8th International Conference on Mars, 2014.
(Download PDF)
(CL#14-2730)
David R. Thompson, Sarah Burke-Spolaor, Adam T. Deller, Divya Palaniswamy, Steven J. Tingay, Kiri L. Wagstaff, Randall B. Wayth.
Real-Time Adaptive Event Detection in Astronomical Data Streams.
IEEE Intelligent Systems, 29(1):48-55, 2014.
(Link to publisher's page)
(CL#13-0317)
Dmitriy Bekker, David R. Thompson, William J. Abbey, Nathalie A. Cabrol, Raymond Francis, Ken S. Manatt, Kevin F. Ortega, Kiri L. Wagstaff.
A Field Demonstration of an Instrument Performing Automatic Classification of Geologic Surfaces.
Astrobiology, 2014.
(Download PDF)
(CL#14-1546)
Kiri L. Wagstaff, Nina L. Lanza, Roger C. Wiens.
Unusual ChemCam targets discovered automatically in Curiosity's first ninety sols in Gale Crater, Mars.
45th Lunar and Planetary Science Conference, 2014.
(Download PDF)
(CL#14-0105)
Lukas Mandrake and Kiri L Wagstaff and Umaa D Rebbapragada.
Detecting an Extreme Minority Class in Hyperspectral Data Using Machine Learning.
NASA Tech Briefs, 2014.
(Link to PDF)
(CL#14-2373)
Cynthia Rudin and Kiri L. Wagstaff.
Machine learning for science and society.
Machine Learning, 2014.
(Link to publisher's page)
(CL#13-5196)
Kitty K. Lo, Tara Murphy, Umaa Rebbapragada, Kiri L. Wagstaff.
Online Classification for Time-Domain Astronomy.
Proceedings of the Astroinformatics workshop, IEEE International Conference on Data Mining, 2013.
(Link to publisher's page)
(CL#13-5024)
Kiri L. Wagstaff, David R. Thompson, William Abbey, Abigail Allwood, Dmitriy L. Bekker, Nathalie A. Cabrol, Thomas Fuchs, Kevin Ortega.
Smart, texture-sensitive instrument classification for in situ rock and layer analysis.
Geophysical Research Letters, vol. 40, 2013.
(Link to publisher's page)
(CL #13-3846)
Kiri L. Wagstaff, Nina L. Lanza, David R. Thompson, Thomas G. Dietterich, Martha S. Gilmore.
Guiding Scientific Discovery with Explanations using DEMUD.
Proceedings of the Twenty-Seventh Conference on Artificial Intelligence, 2013.
Download PDF
(CL #13-1525)
Cathryn M. Trott, Steven J. Tingay, Randall B. Wayth, David R. Thompson, Adam T. Deller, Walter F. Brisken, Kiri L. Wagstaff, Walid A. Majid, Sarah Burke-Spolaor, Jean-Pierre R. Macquart, Divya Palaniswamy.
A Framework for Interpreting Fast Radio Transients Search Experiments: Application to the V-FASTR Experiment.
The Astrophysical Journal, 767, 4, 2013.
(Link to publisher's page)
(CL #13-0721)
Tara Murphy, Shami Chatterjee, David L. Kaplan, Jay Banyer, Martin E. Bell, Hayley E. Bignall, Geoffrey C. Bower, Robert Cameron, David M. Coward, James M. Cordes, Steve Croft, James R. Curran, S. G. Djorgovski, Sean A. Farrell, Dale A. Frail, B. M. Gaensler, Duncan K. Galloway, Bruce Gendre, Anne J. Green, Paul J. Hancock, Simon Johnston, Atish Kamble, Casey J. Law, T. Joseph W. Lazio, Kitty K. Lo, Jean-Pierre Macquart, Nanda Rea, Umaa Rebbapragada, Cormac Reynolds, Stuart D. Ryder, Brian Schmidt, Roberto Soria, Ingrid H. Stairs, Steven J. Tingay, Ulf Torkelsson, Kiri Wagstaff, Mark Walker, Randall B. Wayth, Peter K. G. Williams.
VAST: An ASKAP Survey for Variables and Slow Transients.
Publications of the Astronomical Society of Australia, 30, 2013.
(Link to publisher's page)
(CL #13-3375)
David R. Thompson, William Abbey, Abigail Allwood, Dmitriy Bekker, Benjamin Bornstein, Nathalie A. Cabrol, Rebecca Castaño, Tara Estlin, Thomas Fuchs, Kiri L. Wagstaff.
Smart Cameras for Remote Science Survey.
Proceedings of the International Symposium on Artificial Intelligence, Robotics and Automation in Space, Turin Italy, 2012.
Download PDF
(CL #12-2127)
Randall B. Wayth and Steven J. Tingay and Adam T. Deller and Walter F. Brisken and David R. Thompson and Kiri L. Wagstaff and Walid A. Majid.
Limits on the event rates of fast radio transients from the V-FASTR experiment.
The Astrophysical Journal Letters, 753:L36 (5pp) 2012 July 10, 2012.
Download PDF
(CL #12-2791)
Kiri L. Wagstaff.
Machine Learning that Matters.
Proceedings of the Twenty-Ninth International Conference on Machine Learning (ICML), June 2012.
Download PDF
(CL #12-2026)
Lukas Mandrake, Umaa Rebbapragada, Kiri Wagstaff, David Thompson, Steve Chien, Daniel Tran, Robert T. Pappalardo, Damhnait Gleeson, Rebecca Castano.
Surface Sulfur Detection via Remote Sensing and Onboard Classification.
Transactions on Intelligent Systems and Technology, 2012.
Download PDF
(CL #11-3813)
David R. Thompson, William Abbey, Abigail Allwood, Dmitriy Bekker, Benjamin Bornstein, Nathalie A. Cabrol, Rebecca Castano, Tara Estlin, Thomas Fuchs, Kiri L. Wagstaff.
Smart Cameras for Remote Science Survey.
International Symposium on Artificial Intelligence, Robotics and Automation in Space.
Download PDF
(CL #12-2127)
David R. Thompson, Walid A. Majid, Colorado J. Reed, Kiri L. Wagstaff.
Semi-Supervised Eigenbasis Novelty Detection.
Statistical Analysis and Data Mining.
Download PDF
(CL #12-2014)
David R. Thompson and Abigail Allwood and Dmitriy Bekker and Nathalie A. Cabrol and Tara Estlin and Thomas Fuchs and Kiri L. Wagstaff.
TextureCam: Autonomous Image Analysis for Astrobiology Survey.
43rd Lunar and Planetary Science Conference, March 2012.
Download PDF
(CL#12-0118)
Umaa Rebbapragada and Kitty Lo and Kiri L. Wagstaff and Colorado Reed and Tara Murphy.
Offline and Online Classification of Simulated VAST Transients.
VAST Memo #5.
Download PDF
(CL#12-0867)
Umaa Rebbapragada and Kitty Lo and Kiri L. Wagstaff and Colorado Reed and Tara Murphy and David R. Thompson.
Classification of ASKAP VAST Radio Light Curves.
Proceedings of the International Astronomical Union (IAU 285).
Download PDF
(CL#12-0266)
Dayton L. Jones, Kiri L. Wagstaff, David R. Thompson, Larry D'Addario, Robert Navarro, Chris Mattman, Walid Majid, Umaa Rebbapragada, Joseph Lazio, Robert Preston.
Fast Transient Detection as a Prototypical Big Data Problem.
Proceedings of the International Astronomical Union (IAU 285).
Link to Publisher
(CL#11-4808)
David R. Thompson and Walid A. Majid and Colorado Reed and Kiri L. Wagstaff.
Semi-supervised novelty detection with adaptive eigenbases, application to radio transients.
Conference on Intelligent Data Understanding.
Download PDF
(CL#11-3456)
Best Paper Award
Randall B. Wayth and Adam Deller and Walter Brisken and Walid A. Majid and David R. Thompson and and Steven Tingay and Kiri L. Wagstaff.
V-FASTR: The VLBA Fast Radio Transients Experiment.
The Astrophysical Journal, 735, 97. 2011.
Arxiv preprint
(CL#11-1798)
David R. Thompson and Kiri L. Wagstaff and Adam Deller and Walter Brisken and Walid A. Majid and Steven Tingay and Randall Wayth.
Detection of Fast Transients with Multiple Stations: A Case Study with the Very Long Baseline Array.
The Astrophysical Journal, 735, 98. 2011.
Arxiv preprint
(CL#11-0600)
Umaa Rebbapragada and Kiri L. Wagstaff.
Using Ensemble Decisions and Active Selection to Improve Low-Cost Labeling for Multi-View Data.
Proceedings of the ICML Workshop on Combining Learning Strategies to Reduce Label Cost, July 2011.
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(CL#11-2283)
Mary Pendleton Hoffer, Ronald Greeley, Kiri L. Wagstaff, Adnan Ansar.
Transient Aeolian Features Detected Autonomously in HiRISE Images of El Dorado, Columbia Hills, Gusev Crater, Mars.
42nd Lunar and Planetary Science Conference, March 2011.
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(CL#11-0140)
D. F. Gleeson, R. T. Pappalardo, S. E. Grasby, M. S. Anderson, B. Beauchamp, R. Castano, S. A. Chien, T. Doggett, L. Mandrake, K. L. Wagstaff.
Characterization of a sulfur-rich Arctic spring site and field analog to Europa using hyperspectral data.
Remote Sensing of the Environment, June 15, 2010, 114(6), p. 1297-1311.
Jean-Pierre Macquart, the CRAFT collaboration: M. Bailes, N.D.R. Bhat, G.C. Bower, J.D. Bunton, S. Chatterjee, T. Colegate, J.M. Cordes, L. D'Addario, A. Deller, R. Dodson, R. Fender, K. Haines, P. Hall, C. Harris, A. Hotan, S. Johnston, D.L. Jones, M. Keith, J.Y. Koay, T.J.W. Lazio, W. Majid, T. Murphy, R. Navarro, C. Phillips, P. Quinn, R.A. Preston, B. Stansby, I. Stairs, B. Stappers, L. Staveley-Smith, S. Tingay, D. Thompson, W. van Straten, K. Wagstaff, M. Warren, R. Wayth, L. Wen.
The Commensal Real-time ASKAP Fast Transients (CRAFT) survey.
Publications of the Astronomical Society of Australia, 27(3), p. 272-282, June 2010.
PDF on PASA's site
(CL#10-0436)
Kiri Wagstaff, Frank Corsetti.
An Evaluation of Information-Theoretic Methods for Detecting Structural Microbial Biosignatures.
Astrobiology, 10(4):363-379, doi:10.1089/ast.2008.0301, May 2010.
PDF/Abstract
(CL#09-2053)
Marie desJardins, James MacGlashan, Kiri L. Wagstaff.
Confidence-Based Feature Acquisition to Minimize Training and Test Costs.
Proceedings of the SIAM Conference on Data Mining, p. 514-524, April 2010.
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(CL#10-0543)
Kiri L. Wagstaff, Julian Panetta, Adnan Ansar, Melissa Bunte, Ronald Greeley, Mary Pendleton Hoffer, Norbert Schorghofer.
Change Detection in Mars Orbital Images using Dynamic Landmarking.
41st Lunar and Planetary Science Conference, March 2010.
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(CL#10-0753)
Kiri L. Wagstaff, Michael Kocurek, Dominic Mazzoni, Benyang Tang.
Progressive Refinement for Support Vector Machines.
Data Mining and Knowledge Discovery, 20(1):53-69, doi:10.1007/s10618-009-0149-y, January 2010.
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(CL#09-3612)
Kiri L. Wagstaff.
Smart Robots on Mars: Deciding Where to Go and What to See.
Juniata Voices, 2009.
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(CL#10-0426)
Kiri L. Wagstaff, Marie desJardins, Eric Eaton.
Modeling and Learning Preferences over Sets.
Journal of Experimental and Theoretical Artificial Intelligence, doi:10.1080/09528130903119336, November 2009.
Abstract/PDF (InformaWorld)
(CL#09-2049)
Lukas Mandrake, Kiri L. Wagstaff, Damhnait Gleeson, Umaa Rebbapragada, Daniel Tran, Rebecca Castano, Steven Chien, Robert T. Pappalardo.
Onboard SVM Analysis of Hyperion Data to Detect Sulfur Deposits in Arctic Regions.
Proceedings of the IEEE WHISPERS conference, August 2009.
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(CL #09-1964)
Robert Granat, Kiri L. Wagstaff, Benjamin Bornstein, Benyang Tang, Michael Turmon.
Simulating and Detecting Radiation-Induced Errors for Onboard Machine Learning.
Proceedings of the Third IEEE International Conference on Space Mission Challenges for Information Technology (SMC-IT), July 2009.
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(CL #09-1474)
Lukas Mandrake, Kiri L. Wagstaff, Damhnait Gleeson, Umaa Rebbapragada, Daniel Tran, Rebecca Castano, Steven Chien, Robert T. Pappalardo.
Hyperspectral Sulfur Detection Using an SVM with Extreme Minority Positive Examples Onboard EO-1.
IJCAI AI in Space Workshop Conference, July 2009.
Download PPT
(CL #09-2372)
Kiri L. Wagstaff, Benjamin Bornstein.
How Much Memory Radiation Protection do Onboard Machine Learning Algorithms Require?.
Proceedings of the IJCAI-09/SMC-IT-09/IWPSS-09 Workshop on Artificial Intelligence in Space, July 2009.
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(CL #09-2771)
Kiri L. Wagstaff, Benjamin Bornstein.
K-means in Space: A Radiation Sensitivity Evaluation.
Proceedings of the Twenty-Sixth International Conference on Machine Learning (ICML), June 2009.
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(CL #09-1355)
[Note: An error in units conversion causes the experiments in this paper to over-estimate the impact of radiation. See 'How much Memory Radiation Protection do Onboard Machine Learning Algorithms Require?' above for updated results.]
Lukas Mandrake, Kiri L. Wagstaff, Damhnait Gleeson, Umaa Rebbapragada, Daniel Tran, Rebecca Castano, Steven Chien, Robert T. Pappalardo.
Onboard Detection of Natural Sulfur on a Glacier via an SVM and Hyperion Data.
Proceedings of the 30th IEEE Aerospace Conference, March 2009.
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(CL #08-4689)
Umaa Rebbapragada, Lukas Mandrake, Kiri L. Wagstaff, Damhnait Gleeson, Rebecca Castano, Steve Chien, Carla E. Brodley.
Improving Onboard Analysis of Hyperion Images by Filtering Mislabeled Training Data Examples.
Proceedings of the 30th IEEE Aerospace Conference, March 2009.
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(CL #09-0103)
Kiri L. Wagstaff, Terran Lane, Alex Roper.
Multiple-Instance Regression with Structured Data.
Proceedings of the 4th International Workshop on Mining Complex Data, December 2008.
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(CL #08-3940)
Kiri L. Wagstaff, Ken Peters, Lucas Scharenbroich.
From Protocol Specification to Statechart to Implementation.
JPL Technical Report, 2008.
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(CL #08-4014)
Rebecca Castano, Kiri Wagstaff, Damhnait Gleeson, Robert Pappalardo, Steve Chien, Daniel Tran, Lucas Scharenbroich, Baback Moghaddam, Benyang Tang, Brian Bue, Thomas Doggett, Dan Mandl, Stuart Frye.
Onboard Detection of Active Canadian Sulfur Springs: A Europa Analogue.
Proceedings of the 9th International Symposium on Artificial Intelligence, Robotics, and Automation in Space, February 2008.
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(CL #07-4419)
Kiri L. Wagstaff, Edward Benowitz, DJ Byrne, Ken Peters, Garth Watney.
Automatic Code Generation for Instrument Flight Software.
Proceedings of the 9th International Symposium on Artificial Intelligence, Robotics, and Automation in Space, February 2008.
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(CL #07-4374)
Kiri L. Wagstaff, Timothy N. Titus, Anton B. Ivanov, Rebecca Castano.
Observations of the North Polar Water Ice Annulus on Mars using THEMIS and TES.
Planetary and Space Science, 56:2, p. 256-265, January 2008.
Abstract/PDF (ScienceDirect)
(CL #07-1701)
Kiri L. Wagstaff.
Value, Cost, and Sharing: Open Issues in Constrained Clustering.
Knowledge Discovery in Inductive Databases (KDID 2006), LNCS 4747, p. 1-10, 2007.
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(CL #06-2844)
Rebecca Castano, Kiri L. Wagstaff, Steve Chien, Timothy M. Stough, Benyang Tang.
On-board Analysis of Uncalibrated Data for a Spacecraft at Mars.
Proceedings of the Thirteenth International Conference on Knowledge Discovery and Data Mining (KDD), p. 922-930, August 2007.
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(CL #07-0899)
Kiri L. Wagstaff, Terran Lane.
Salience Assignment for Multiple-Instance Regression.
ICML 2007 Workshop on Constrained Optimization and Structured Output Spaces, July 2007.
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(CL #07-1809)
Kiri Wagstaff, Dennis Corwin, Lukas Mandrake, Alex Roper, Lucas Scharenbroich.
Heterogeneous Agricultural Research Via Interactive, Scalable Technology (HARVIST): Infusion for the USDA.
Earth Science Technology Office Final Report.
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Dominic Mazzoni, Kiri L. Wagstaff, Michael Burl.
Active Learning with Irrelevant Examples.
Proceedings of the Seventeenth European Conference on Machine Learning.
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(CL #06-1838)
(2006/09/XX)
Ian Davidson, Kiri L. Wagstaff, Sugato Basu.
Measuring Constraint-Set Utility for Partitional Clustering Algorithms.
Proceedings of the Tenth European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD), September 2006.
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(CL #06-1843)
Kiri L. Wagstaff, Sugato Basu, Ian Davidson.
When is Constrained Clustering Beneficial, and Why?.
Proceedings of the Twenty-First National Conference on Artificial Intelligence (Member Abstracts), July 2006.
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(CL #06-1417)
Marie desJardins, Eric Eaton, Kiri L. Wagstaff.
Learning User Preferences for Sets of Objects.
Proceedings of the Twenty-Third International Conference on Machine Learning, June 2006.
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(CL #06-1230)
Kiri Wagstaff, Dominic Mazzoni.
Recent HARVIST Results: Classifying Crops from Remote Sensing Data.
Proceedings of the Second NASA Data Mining Workshop, May 2006.
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(CL #06-2015)
Kiri L. Wagstaff, Joshua L. Bandfield, Rebecca Castano, Steve Chien, Michael D. Smith.
Dust Storms and Water Ice Clouds: Feature Detection for Use Onboard THEMIS.
37th Lunar and Planetary Science Conference, March 2006.
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(CL #06-0570)
Kiri L. Wagstaff, Henry P. Shu, Dominic Mazzoni, Rebecca Castano.
Semi-Supervised Data Summarization: Using Spectral Libraries to Improve Hyperspectral Clustering.
The Interplanetary Network Progress Report, vol. 42-163, November 2005.
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(CL #05-3746)
Jon Vandegriff, Kiri Wagstaff, George Ho, Janice Plauger.
Forecasting Space Weather: Predicting Interplanetary Shocks Using Neural Networks.
Advances in Space Research, vol. 36, p. 2323-2327, November 2005.
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Qianjun Xu, Marie desJardins, Kiri L. Wagstaff.
Active Constrained Clustering by Examining Spectral Eigenvectors.
Proceedings of the Eighth International Conference on Discovery Science, October 2005.
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(CL #05-2276)
Kiri L. Wagstaff, Rebecca Castano, Steve Chien, Anton B. Ivanov, Timothy N. Titus.
An Onboard Data Analysis Method to Track the Seasonal Polar Caps on Mars.
Proceedings of the International Symposium on Artificial Intelligence, Robotics, and Automation in Space, September 2005.
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(CL #05-1883)
Marie desJardins, Kiri L. Wagstaff.
DD-PREF: A Language for Expressing Preferences Over Sets.
Proceedings of the Twentieth National Conference on Artificial Intelligence, p. 620-626, July 2005.
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(CL #05-1360)
Kiri L. Wagstaff, Dominic Mazzoni, Stephan Sain.
HARVIST: A System for Agricultural and Weather Studies Using Advanced Statistical Models.
Proceedings of the Earth-Sun Systems Technology Conference, June 2005.
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(CL #05-1370)
Qianjun Xu, Marie desJardins, Kiri Wagstaff.
Constrained Spectral Clustering under a Local Proximity Structure.
Proceedings of the 18th International Florida Artificial Intelligence Research Society (FLAIRS) Conference, May 2005.
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(CL #05-1165)
Marie desJardins, Eric Eaton, Kiri Wagstaff.
A Context-Sensitive and User-Centric Approach to Developing Personal Assistants.
Persistent Assistants: Living and Working with AI (AAAI Spring Symposium), April 2005.
Rebecca Castano, Michele Judd, Tara Estlin, Robert C. Anderson, Daniel Gaines, Andres Castano, Ben Bornstein, Tim Stough, Kiri Wagstaff.
Current Results from a Rover Science Data Analysis System.
Proceedings of the 2005 IEEE Aerospace Conference, March 2005.
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(CL #05-0185)
Kiri L. Wagstaff, Rebecca Castano, Steve Chien, Anton B. Ivanov, Timothy N. Titus.
Towards Onboard Orbital Tracking of Seasonal Polar Volatiles on Mars.
36th Lunar and Planetary Science Conference, March 2005.
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(CL #05-0658)
Rebecca Castano, Kiri Wagstaff, Lin Song, Robert C. Anderson.
Validating Rover Image Prioritizations.
The Interplanetary Network Progress Report, vol. 42-160, February 2005.
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(CL #05-0810)
Kiri L. Wagstaff, Victoria G. Laidler.
Making the Most of Missing Values: Object Clustering with Partial Data in Astronomy.
Astronomical Data Analysis Software and Systems XIV (ADASS), ASP Conference Series, 2005.
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(CL #04-3794)
Dominic Mazzoni, Kiri Wagstaff, Rebecca Castano.
Using Trained Pixel Classifiers to Select Images of Interest.
The Interplanetary Network Progress Report, vol. 42-158, 2004.
Stefan Schroedl, Kiri Wagstaff, Seth Rogers, Pat Langley, Christopher Wilson.
Mining GPS Traces for Map Refinement.
Data Mining and Knowledge Discovery, vol. 9, issue 1, p. 59-87, 2004.
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K. Wagstaff, R. Castano, S. Dolinar, M. Klimesh, R. Mukai.
Science-based Region-of-Interest Image Compression.
Lunar and Planetary Science Conference (LPSC), March 2004.
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(CL #04-0107)
