Kiri L. Wagstaff

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 24

Top Topics

Space Exploration

Convolutional Network

Machine Learning

Top Venues

Data Min. Knowl. Discov.

Publications

Bhavan Vasu, Steven Lu, Emily Dunkel, Kiri L. Wagstaff, Kevin Grimes, Michael McAuley
Interactive Mars Image Content-Based Search with Interpretable Machine Learning. AAAI (2024)
Bhavan Vasu, Steven Lu, Emily Dunkel, Kiri L. Wagstaff, Kevin Grimes, Michael McAuley
Interactive Mars Image Content-Based Search with Interpretable Machine Learning. CoRR (2024)
Gary Doran, Serina Diniega, Steven Lu, Mark Wronkiewicz, Kiri L. Wagstaff
Evaluating Terrain-Dependent Performance for Martian Frost Detection in Visible Satellite Observations. CoRR (2024)
Jadie Adams, Steven Lu, Krzysztof M. Gorski, Graca Rocha, Kiri L. Wagstaff
Cosmic Microwave Background Recovery: A Graph-Based Bayesian Convolutional Network Approach. AAAI (2023)
Kiri L. Wagstaff, Thomas G. Dietterich
Hidden Heterogeneity: When to Choose Similarity-Based Calibration. Trans. Mach. Learn. Res. 2023 (2023)
Jadie Adams, Steven Lu, Krzysztof M. Gorski, Graca Rocha, Kiri L. Wagstaff
Cosmic Microwave Background Recovery: A Graph-Based Bayesian Convolutional Network Approach. CoRR (2023)
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 (2022)
Kiri L. Wagstaff, Thomas G. Dietterich
Hidden Heterogeneity: When to Choose Similarity-Based Calibration. CoRR (2022)
Yuan Zhuang, Ellen Riloff, Kiri L. Wagstaff, Raymond Francis, Matthew P. Golombek, Leslie K. Tamppari
Exploiting Unary Relations with Stacked Learning for Relation Extraction. SDP@COLING (2022)
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) (2022)
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 (2022)
Paul Horton, Hannah Rae Kerner, Samantha Jacob, Ernest Cisneros, Kiri L. Wagstaff, James F. Bell
Integrating Novelty Detection Capabilities with MSL Mastcam Operations to Enhance Data Analysis. CoRR (2021)
Hannah Rae Kerner, Kiri L. Wagstaff, Brian D. Bue, Danika F. Wellington, Samantha Jacob, Paul Horton, James F. Bell, Chiman Kwan, Heni Ben Amor
Comparison of novelty detection methods for multispectral images in rover-based planetary exploration missions. Data Min. Knowl. Discov. 34 (6) (2020)
Jake H. Lee, Kiri L. Wagstaff
Visualizing image content to explain novel image discovery. Data Min. Knowl. Discov. 34 (6) (2020)
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)
Hannah Rae Kerner, Kiri L. Wagstaff, Brian D. Bue, Patrick C. Gray, James F. Bell III, Heni Ben Amor
Toward Generalized Change Detection on Planetary Surfaces With Convolutional Autoencoders and Transfer Learning. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 12 (10) (2019)
Jake H. Lee, Kiri L. Wagstaff
Visualizing Image Content to Explain Novel Image Discovery. CoRR (2019)
Hannah Rae Kerner, Danika F. Wellington, Kiri L. Wagstaff, James F. Bell, Chiman Kwan, Heni Ben Amor
Novelty Detection for Multispectral Images with Application to Planetary Exploration. AAAI (2019)
Kiri L. Wagstaff, You Lu, Alice Stanboli, Kevin Grimes, Thamme Gowda, Jordan Padams
Deep Mars: CNN Classification of Mars Imagery for the PDS Imaging Atlas. AAAI (2018)
Kiri L. Wagstaff, Raymond Francis, Thamme Gowda, You Lu, Ellen Riloff, Karanjeet Singh, Nina L. Lanza
Mars Target Encyclopedia: Rock and Soil Composition Extracted From the Literature. AAAI (2018)
Kiri L. Wagstaff, Jake H. Lee
Interpretable Discovery in Large Image Data Sets. CoRR (2018)
Kiri L. Wagstaff
Robotic space exploration agents. Sci. Robotics 2 (7) (2017)
Steve A. Chien, Joshua Doubleday, David R. Thompson, Kiri L. Wagstaff, John Bellardo, Craig Francis, Eric Baumgarten, Austin Williams, Edmund Yee, Eric T. Stanton, Jordi Piug-Suari
Onboard Autonomy on the Intelligent Payload Experiment CubeSat Mission. J. Aerosp. Inf. Syst. 14 (6) (2017)
Kiri L. Wagstaff, Ellen Riloff, Nina L. Lanza, Chris A. Mattmann, Paul M. Ramirez
Creating a Mars Target Encyclopedia by Extracting Information from the Planetary Science Literature. AAAI Workshop: Knowledge Extraction from Text (2016)
Eric Eaton, Kiri L. Wagstaff
Welcome to AI Matter: volume 2, issue 1. AI Matters 2 (1) (2015)
Kiri L. Wagstaff
Welcome to AI Matters issue 4. AI Matters 1 (4) (2015)
David R. Thompson, Alphan Altinok, Benjamin J. Bornstein, Steve A. Chien, Joshua Doubleday, John Bellardo, Kiri L. Wagstaff
Onboard machine learning classification of images by a cubesat in Earth orbit. AI Matters 1 (4) (2015)
Cynthia Rudin, Kiri L. Wagstaff
Machine learning for science and society. Mach. Learn. 95 (1) (2014)
David R. Thompson, Sarah Burke-Spolaor, Adam Deller, Walid A. Majid, Divya Palaniswamy, Steven J. Tingay, Kiri L. Wagstaff, Randall B. Wayth
Real-Time Adaptive Event Detection in Astronomical Data Streams. IEEE Intell. Syst. 29 (1) (2014)
Kiri L. Wagstaff, Nina L. Lanza, David R. Thompson, Thomas G. Dietterich, Martha S. Gilmore
Guiding Scientific Discovery with Explanations Using DEMUD. AAAI (2013)
David R. Thompson, Walid A. Majid, Colorado Reed, Kiri L. Wagstaff
Semi-supervised Eigenbasis novelty detection. Stat. Anal. Data Min. 6 (3) (2013)
Lukas Mandrake, Umaa Rebbapragada, Kiri L. Wagstaff, David R. Thompson, Steve A. Chien, Daniel Tran, Robert T. Pappalardo, Damhnait Gleeson, Rebecca Castaño
Surface Sulfur Detection via Remote Sensing and Onboard Classification. ACM Trans. Intell. Syst. Technol. 3 (4) (2012)
Kiri L. Wagstaff, Julian Panetta, Adnan Ansar, Ronald Greeley, Mary Pendleton Hoffer, Melissa Bunte, Norbert Schörghofer
Dynamic Landmarking for Surface Feature Identification and Change Detection. ACM Trans. Intell. Syst. Technol. 3 (3) (2012)
Amy McGovern, Kiri L. Wagstaff
Machine learning in space: extending our reach. Mach. Learn. 84 (3) (2011)
Marie desJardins, James MacGlashan, Kiri L. Wagstaff
Confidence-Based Feature Acquisition to Minimize Training and Test Costs. SDM (2010)
Kiri L. Wagstaff, Michael Kocurek, Dominic Mazzoni, Benyang Tang
Progressive refinement for support vector machines. Data Min. Knowl. Discov. 20 (1) (2010)
Kiri L. Wagstaff, Marie desJardins, Eric Eaton
Modelling and learning user preferences over sets. J. Exp. Theor. Artif. Intell. 22 (3) (2010)
Kiri L. Wagstaff, Benjamin J. Bornstein
K-means in space: a radiation sensitivity evaluation. ICML (2009)
Lukas Mandrake, Kiri L. Wagstaff, Damhnait Gleeson, Umaa Rebbapragada, Daniel Tran, Rebecca Castaño, Steve A. Chien, Robert T. Pappalardo
Onboard SVM analysis of Hyperion data to detect sulfur deposits in Arctic regions. WHISPERS (2009)
Kiri L. Wagstaff, Terran Lane, Alex Roper
Multiple-Instance Regression with Structured Data. ICDM Workshops (2008)
Kiri L. Wagstaff, Terran Lane
Report on the SIGART Doctoral Consortium. AI Mag. 28 (1) (2007)