Machine Learning and Instrument Autonomy Group

Contact

Email: kiri.l.wagstaff@jpl.nasa.gov
Office: 158-206

Mail Stop: 158-242
4800 Oak Grove Drive
Pasadena, CA 91109

Education

Computer Science (PHD) - Cornell
Computer Science (BS) - University of Utah

Research Interests

Publications


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.. (CL#14-4569)

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.. (CL#13-0721)

Dominic Mazzoni, Kiri L. Wagstaff, Michael Burl., Active Learning with Irrelevant Examples.. Proceedings of the Seventeenth European Conference on Machine Learning. (Link to Document) (CL#06-1838)

Kiri Frank Corsetti., An Evaluation of Information-Theoretic Methods for Detecting Structural Microbial Biosignatures.. Astrobiology. (CL#09-2053)

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. (Link to Document) (CL#05-1883)

Brian D. Bue, Kiri L. Wagstaff, Umaa D. Rebbapragada, David R. Thompson, Benyang Tang, Astronomical Data Triage for Rapid Science Return. Proceedings of the Big Data from Space Conference. (Link to Document) (CL#14-4231)

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. (Link to Document) (CL#07-4374)

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).. (CL#14-3527)

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.. (Link to Document) (CL#14-2730)

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. (Link to Document) (CL#10-0753)

Kiri L. Wagstaff, Ellen Riloff, Nina L. Lanza, Chris A. Mattmann, and , 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 Document) (CL#15-5656)

Lukas Kiri L. Wagstaff, Umaa D. Rebbapragada, Detecting an Extreme Minority Class in Hyperspectral Data Using Machine Learning. NASA Tech Breifs. (CL#14-2373)

David R. Thompson, Kiri L. Wagstaff, Adam Deller, Walter Brisken, Walid A. Majid, Steven Tingay, Randall Wayth, Detection of Fast Transients with Muliple Stations A Case Study with the Very Long Baseline Array. The Astrophysical Journal. (CL#11-1798)

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. (Link to Document) (CL#06-0570)

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).. (CL#11-4808)

Kiri L. Wagstaff, Ken Peters, Lucas Scharenbroich., From Protocol Specification to Statechart to Implementation.. JPL Technical Report, 2008.. (Link to Document) (CL#08-4014)

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.. (Link to Document) (CL#13-1525)

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. (Link to Document) (CL#05-1370)

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. (CL#09-2771)

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. (Link to Document) (CL#09-2771)

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. (Link to Document) (CL#09-2372)

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. (Link to Document) (CL#09-0103)

Kiri L. Wagstaff, Benjamin Bornstein., K-means in Space: A Radiation Sensitivity Evaluation.. Proceedings of the Twenty-Sixth International Conference on Machine Learning (ICML). (Link to Document) (CL#09-1355)

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.. (CL#15-1429)

Cynthia Kiri L. Wagstaff, Machine Learning for Science and Society. Machine Learning. (CL#13-5196)

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. (Link to Document) (CL#04-3794) Publisher: ASP Conference Series.

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). (Link to Document) (CL#06-1843)

Kiri L. Wagstaff, Marie desJardins, Eric Eaton., Modeling and Learning Preferences over Sets.. Journal of Experimental and Theoretical Artificial Intelligence. (CL#09-2049)

Kiri L. Wagstaff, Terran Lane, Alex Roper., Multiple-Instance Regression with Structured Data.. Proceedings of the 4th International Workshop on Mining Complex Data. (Link to Document) (CL#08-3940)

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. (CL#07-1701) Publisher: p. 256-265.

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). (Link to Document) (CL#07-0899) Publisher: p. 922-930.

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. (Link to Document) (CL#07-4419)

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. (Link to Document) (CL#08-4689)

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. (Link to Document) (CL#09-1964)

Kiri L. Wagstaff, Michael Kocurek, Dominic Mazzoni, Benyang Tang., Progressive Refinement for Support Vector Machines.. Data Mining and Knowledge Discovery. (Link to Document) (CL#09-3612) Publisher: 20(1):53-69, doi:10.1007/s10618-009-0149-y.

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.. (CL#13-0317)

Kiri Wagstaff, Dominic Mazzoni., Recent HARVIST Results: Classifying Crops from Remote Sensing Data.. Proceedings of the Second NASA Data Mining Workshop. (Link to Document) (CL#06-2015)

Kiri L. Wagstaff, Terran Lane., Salience Assignment for Multiple-Instance Regression.. ICML 2007 Workshop on Constrained Optimization and Structured Output Spaces. (Link to Document) (CL#07-1809)

K. Wagstaff, R. Castano, S. Dolinar, M. Klimesh, R. Mukai., Science-based Region-of-Interest Image Compression.. Lunar and Planetary Science Conference. (Link to Document) (CL#04-0107)

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. (Link to Document) (CL#05-3746) Publisher: vol. 42-163.

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). (Link to Document) (CL#09-1474)

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.. (CL#13-3846)

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. (Link to Document) (CL#11-3813)

Jean-Pierre Macquart, the , 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. (CL#10-0436)

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. (Link to Document) (CL#05-0658)

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. (Link to Document) (CL#11-0140)

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. (Link to Document) (CL#14-0105)

Randall B. Wayth, Adam Deller, Walter Brisken, Walid A. Majid, David R. Thompson, Steven Tingay, Kiri L. Wagstaff, V-FASTR The VBLA Fast Radio Transients Experiment. The Astrophysical Journal. (CL#11-1798)

Rebecca Castano, Kiri Wagstaff, Lin Song, Robert C. Anderson., Validating Rover Image Prioritizations.. The Interplanetary Network Progress Report. (Link to Document) (CL#05-0810) Publisher: Vol. 42-160.

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. , 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 , VAST: An ASKAP Survey for Variables and Slow Transients.. Publications of the Astronomical Society of Australia, 30, 2013.. (CL#13-3375)

Kiri L. Wagstaff, Sugato Basu, Ian Davidson., When is Constrained Clustering Beneficial, and Why?. Proceedings of the Twenty-First National Conference on Artificial Intelligence. (CL#06-1417)

Dr. Kiri Wagstaff