Kiri L. Wagstaff

44 papers A* 8A 1Journal 29Unranked 4
YearRankTypeTitle / Venue / Authors
2025 J jnl
Realistic Handwritten Multi-Digit Writer (MDW) Number Recognition Challenges.
CoRR
Kiri L. Wagstaff
2024 J jnl
Evaluating Terrain-Dependent Performance for Martian Frost Detection in Visible Satellite Observations.
CoRR
Gary Doran, Serina Diniega, Steven Lu, Mark Wronkiewicz, Kiri L. Wagstaff
2024 A* conf
Interactive Mars Image Content-Based Search with Interpretable Machine Learning.
AAAI
Bhavan Vasu, Steven Lu, Emily Dunkel, Kiri L. Wagstaff, Kevin Grimes, Michael McAuley
2024 J jnl
Interactive Mars Image Content-Based Search with Interpretable Machine Learning.
CoRR
Bhavan Vasu, Steven Lu, Emily Dunkel, Kiri L. Wagstaff, Kevin Grimes, Michael McAuley
2023 A* conf
Cosmic Microwave Background Recovery: A Graph-Based Bayesian Convolutional Network Approach.
AAAI
Jadie Adams, Steven Lu, Krzysztof M. Gorski, Graca Rocha, Kiri L. Wagstaff
2023 J jnl
Cosmic Microwave Background Recovery: A Graph-Based Bayesian Convolutional Network Approach.
CoRR
Jadie Adams, Steven Lu, Krzysztof M. Gorski, Graca Rocha, Kiri L. Wagstaff
2023 J jnl
Hidden Heterogeneity: When to Choose Similarity-Based Calibration.
Trans. Mach. Learn. Res.
Kiri L. Wagstaff, Thomas G. Dietterich
2022 — conf
Exploiting Unary Relations with Stacked Learning for Relation Extraction.
SDP@COLING
Yuan Zhuang, Ellen Riloff, Kiri L. Wagstaff, Raymond Francis, Matthew P. Golombek, Leslie K. Tamppari
2022 J jnl
Hidden Heterogeneity: When to Choose Similarity-Based Calibration.
CoRR
Kiri L. Wagstaff, Thomas G. Dietterich
2022 J jnl
Resource Consumption and Radiation Tolerance Assessment for Data Analysis Algorithms Onboard Spacecraft.
IEEE Trans. Aerosp. Electron. Syst.
Gary Doran, Ameya Daigavane, Kiri L. Wagstaff
2022 J jnl
Unsupervised detection of Saturn magnetic field boundary crossings from plasma spectrometer data.
Comput. Geosci.
Ameya Daigavane, Kiri L. Wagstaff, Gary Doran, Corey J. Cochrane, Caitriona M. Jackman, Abigail Rymer
2022 J jnl
Using Machine Learning to Reduce Observational Biases When Detecting New Impacts on Mars.
CoRR
Kiri L. Wagstaff, Ingrid J. Daubar, Gary Doran, Michael J. Munje, Valentin Tertius Bickel, Annabelle Gao, Joe Pate, Daniel Wexler
2021 J jnl
Integrating Novelty Detection Capabilities with MSL Mastcam Operations to Enhance Data Analysis.
CoRR
Paul Horton, Hannah Rae Kerner, Samantha Jacob, Ernest Cisneros, Kiri L. Wagstaff, James F. Bell
2020 J jnl
Comparison of novelty detection methods for multispectral images in rover-based planetary exploration missions.
Data Min. Knowl. Discov.
Hannah Rae Kerner, Kiri L. Wagstaff, Brian D. Bue, Danika F. Wellington, Samantha Jacob, Paul Horton, James F. Bell, Chiman Kwan, Heni Ben Amor
2020 J jnl
Visualizing image content to explain novel image discovery.
Data Min. Knowl. Discov.
Jake H. Lee, Kiri L. Wagstaff
2019 A* conf
Enabling Onboard Detection of Events of Scientific Interest for the Europa Clipper Spacecraft.
KDD
Kiri L. Wagstaff, Gary Doran, Ashley Davies, Saadat Anwar, Srija Chakraborty, Marissa Cameron, Ingrid Daubar, Cynthia A. Phillips
2019 A* conf
Novelty Detection for Multispectral Images with Application to Planetary Exploration.
AAAI
Hannah Rae Kerner, Danika F. Wellington, Kiri L. Wagstaff, James F. Bell, Chiman Kwan, Heni Ben Amor
2019 J jnl
Toward Generalized Change Detection on Planetary Surfaces With Convolutional Autoencoders and Transfer Learning.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Hannah Rae Kerner, Kiri L. Wagstaff, Brian D. Bue, Patrick C. Gray, James F. Bell III, Heni Ben Amor
2019 J jnl
Visualizing Image Content to Explain Novel Image Discovery.
CoRR
Jake H. Lee, Kiri L. Wagstaff
2018 A* conf
Deep Mars: CNN Classification of Mars Imagery for the PDS Imaging Atlas.
AAAI
Kiri L. Wagstaff, You Lu, Alice Stanboli, Kevin Grimes, Thamme Gowda, Jordan Padams
2018 J jnl
Interpretable Discovery in Large Image Data Sets.
CoRR
Kiri L. Wagstaff, Jake H. Lee
2018 A* conf
Mars Target Encyclopedia: Rock and Soil Composition Extracted From the Literature.
AAAI
Kiri L. Wagstaff, Raymond Francis, Thamme Gowda, You Lu, Ellen Riloff, Karanjeet Singh, Nina L. Lanza
2017 — ch.
Constrained Clustering.
Encyclopedia of Machine Learning and Data Mining
Kiri L. Wagstaff
2017 J jnl
Onboard Autonomy on the Intelligent Payload Experiment CubeSat Mission.
J. Aerosp. Inf. Syst.
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
2017 J jnl
Robotic space exploration agents.
Sci. Robotics
Kiri L. Wagstaff
2016 — conf
Creating a Mars Target Encyclopedia by Extracting Information from the Planetary Science Literature.
AAAI Workshop: Knowledge Extraction from Text
Kiri L. Wagstaff, Ellen Riloff, Nina L. Lanza, Chris A. Mattmann, Paul M. Ramirez
2015 J jnl
Onboard machine learning classification of images by a cubesat in Earth orbit.
AI Matters
David R. Thompson, Alphan Altinok, Benjamin J. Bornstein, Steve A. Chien, Joshua Doubleday, John Bellardo, Kiri L. Wagstaff
2015 J jnl
Welcome to AI Matter: volume 2, issue 1.
AI Matters
Eric Eaton, Kiri L. Wagstaff
2015 J jnl
Welcome to AI Matters issue 4.
AI Matters
Kiri L. Wagstaff
2014 J jnl
Machine learning for science and society.
Mach. Learn.
Cynthia Rudin, Kiri L. Wagstaff
2014 J jnl
Real-Time Adaptive Event Detection in Astronomical Data Streams.
IEEE Intell. Syst.
David R. Thompson, Sarah Burke-Spolaor, Adam Deller, Walid A. Majid, Divya Palaniswamy, Steven J. Tingay, Kiri L. Wagstaff, Randall B. Wayth
2013 A* conf
Guiding Scientific Discovery with Explanations Using DEMUD.
AAAI
Kiri L. Wagstaff, Nina L. Lanza, David R. Thompson, Thomas G. Dietterich, Martha S. Gilmore
2013 J jnl
Semi-supervised Eigenbasis novelty detection.
Stat. Anal. Data Min.
David R. Thompson, Walid A. Majid, Colorado Reed, Kiri L. Wagstaff
2012 J jnl
Dynamic Landmarking for Surface Feature Identification and Change Detection.
ACM Trans. Intell. Syst. Technol.
Kiri L. Wagstaff, Julian Panetta, Adnan Ansar, Ronald Greeley, Mary Pendleton Hoffer, Melissa Bunte, Norbert Schörghofer
2012 J jnl
Surface Sulfur Detection via Remote Sensing and Onboard Classification.
ACM Trans. Intell. Syst. Technol.
Lukas Mandrake, Umaa Rebbapragada, Kiri L. Wagstaff, David R. Thompson, Steve A. Chien, Daniel Tran, Robert T. Pappalardo, Damhnait Gleeson, Rebecca Castaño
2011 J jnl
Machine learning in space: extending our reach.
Mach. Learn.
Amy McGovern, Kiri L. Wagstaff
2010 A conf
Confidence-Based Feature Acquisition to Minimize Training and Test Costs.
SDM
Marie desJardins, James MacGlashan, Kiri L. Wagstaff
2010 — ch.
Constrained Clustering.
Encyclopedia of Machine Learning
Kiri L. Wagstaff
2010 J jnl
Modelling and learning user preferences over sets.
J. Exp. Theor. Artif. Intell.
Kiri L. Wagstaff, Marie desJardins, Eric Eaton
2010 J jnl
Progressive refinement for support vector machines.
Data Min. Knowl. Discov.
Kiri L. Wagstaff, Michael Kocurek, Dominic Mazzoni, Benyang Tang
2009 A* conf
K-means in space: a radiation sensitivity evaluation.
ICML
Kiri L. Wagstaff, Benjamin J. Bornstein
2009 — conf
Onboard SVM analysis of Hyperion data to detect sulfur deposits in Arctic regions.
WHISPERS
Lukas Mandrake, Kiri L. Wagstaff, Damhnait Gleeson, Umaa Rebbapragada, Daniel Tran, Rebecca Castaño, Steve A. Chien, Robert T. Pappalardo
2008 — conf
Multiple-Instance Regression with Structured Data.
ICDM Workshops
Kiri L. Wagstaff, Terran Lane, Alex Roper
2007 J jnl
Report on the SIGART Doctoral Consortium.
AI Mag.
Kiri L. Wagstaff, Terran Lane