default search action
Kiri Wagstaff
Kiri L. Wagstaff
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
- [c37]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: 22976-22982 - [i10]Bhavan Vasu, Steven Lu, Emily Dunkel, Kiri L. Wagstaff, Kevin Grimes, Michael McAuley:
Interactive Mars Image Content-Based Search with Interpretable Machine Learning. CoRR abs/2402.16860 (2024) - [i9]Gary Doran, Serina Diniega, Steven Lu, Mark Wronkiewicz, Kiri L. Wagstaff:
Evaluating Terrain-Dependent Performance for Martian Frost Detection in Visible Satellite Observations. CoRR abs/2403.12080 (2024) - 2023
- [j29]Kiri L. Wagstaff, Thomas G. Dietterich:
Hidden Heterogeneity: When to Choose Similarity-Based Calibration. Trans. Mach. Learn. Res. 2023 (2023) - [c36]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: 15640-15646 - [i8]Jadie Adams, Steven Lu, Krzysztof M. Gorski
, Graca Rocha
Cosmic Microwave Background Recovery: A Graph-Based Bayesian Convolutional Network Approach. CoRR abs/2302.12378 (2023) - 2022
- [j28]Ameya Daigavane
Unsupervised detection of Saturn magnetic field boundary crossings from plasma spectrometer data. Comput. Geosci. 161: 105040 (2022) - [j27]Gary Doran
Resource Consumption and Radiation Tolerance Assessment for Data Analysis Algorithms Onboard Spacecraft. IEEE Trans. Aerosp. Electron. Syst. 58(6): 5180-5189 (2022) - [c35]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: 126-137 - [i7]Kiri L. Wagstaff, Thomas G. Dietterich:
Hidden Heterogeneity: When to Choose Similarity-Based Calibration. CoRR abs/2202.01840 (2022) - [i6]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 abs/2207.05679 (2022) - 2021
- [c34]Kiri Wagstaff, Steven Lu, Emily Dunkel, Kevin Grimes, Brandon Zhao, Jesse Cai, Shoshanna B. Cole, Gary Doran, Raymond Francis, Jake H. Lee, Lukas Mandrake:
Mars Image Content Classification: Three Years of NASA Deployment and Recent Advances. AAAI 2021: 15204-15213 - [i5]Kiri Wagstaff, Steven Lu, Emily Dunkel, Kevin Grimes, Brandon Zhao, Jesse Cai, Shoshanna B. Cole, Gary Doran, Raymond Francis, Jake H. Lee
Mars Image Content Classification: Three Years of NASA Deployment and Recent Advances. CoRR abs/2102.05011 (2021) - [i4]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 abs/2103.12815 (2021) - 2020
- [j26]Hannah Rae Kerner
Comparison of novelty detection methods for multispectral images in rover-based planetary exploration missions. Data Min. Knowl. Discov. 34(6): 1642-1675 (2020) - [j25]Jake H. Lee, Kiri L. Wagstaff
Visualizing image content to explain novel image discovery. Data Min. Knowl. Discov. 34(6): 1777-1804 (2020)
2010 – 2019
- 2019
- [j24]Hannah Rae Kerner
Toward Generalized Change Detection on Planetary Surfaces With Convolutional Autoencoders and Transfer Learning. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 12(10): 3900-3918 (2019) - [c33]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: 9484-9491 - [c32]Kiri L. Wagstaff, Gary Doran, Ashley Davies, Saadat Anwar, Srija Chakraborty, Marissa Cameron, Ingrid Daubar
Enabling Onboard Detection of Events of Scientific Interest for the Europa Clipper Spacecraft. KDD 2019: 2191-2201 - [i3]Jake H. Lee
Visualizing Image Content to Explain Novel Image Discovery. CoRR abs/1908.05006 (2019) - 2018
- [c31]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: 7861-7866 - [c30]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: 7867-7872 - [i2]Kiri L. Wagstaff, Jake H. Lee
Interpretable Discovery in Large Image Data Sets. CoRR abs/1806.08340 (2018) - 2017
- [j23]Steve A. Chien, Joshua Doubleday, David R. Thompson, Kiri L. Wagstaff
Onboard Autonomy on the Intelligent Payload Experiment CubeSat Mission. J. Aerosp. Inf. Syst. 14(6): 307-315 (2017) - [j22]Kiri L. Wagstaff
Robotic space exploration agents. Sci. Robotics 2(7) (2017) - [r2]Kiri L. Wagstaff:
Constrained Clustering. Encyclopedia of Machine Learning and Data Mining 2017: 272-274 - 2016
- [c29]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 - 2015
- [j21]Robert Morris, Blai Bonet, Marc Cavazza, Marie desJardins, Ariel Felner, Nick Hawes, Brad Knox, Sven Koenig, George Dimitri Konidaris, Jérôme Lang, Carlos Linares López
A Summary of the Twenty-Ninth AAAI Conference on Artificial Intelligence. AI Mag. 36(3): 99-106 (2015) - [j20]Kiri Wagstaff
Welcome to AI Matters issue 3. AI Matters 1(3): 3 (2015) - [j19]Kiri L. Wagstaff
Welcome to AI Matters issue 4. AI Matters 1(4): 3 (2015) - [j18]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): 38-40 (2015) - [j17]Eric Eaton, Kiri L. Wagstaff
Welcome to AI Matter: volume 2, issue 1. AI Matters 2(1): 3 (2015) - [c28]Joshua Doubleday, Steve A. Chien, Charles D. Norton, Kiri Wagstaff
Autonomy for remote sensing - Experiences from the IPEX CubeSat. IGARSS 2015: 5308-5311 - 2014
- [j16]Kiri Wagstaff
Welcome to AI matters. AI Matters 1(1): 3 (2014) - [j15]Kiri Wagstaff
Welcome to AI Matters Issue 2. AI Matters 1(2): 3 (2014) - [j14]F. Alexander Bogert, Nicholas Smith, John Holdener, Eric M. De Jong, Andrew F. Hart, Luca Cinquini, Shakeh E. Khudikyan, David R. Thompson, Chris A. Mattmann, Kiri Wagstaff
Computing in Astronomy: Applications and Examples. Computer 47(9): 62-69 (2014) - [j13]David R. Thompson, Sarah Burke-Spolaor, Adam Deller
Real-Time Adaptive Event Detection in Astronomical Data Streams. IEEE Intell. Syst. 29(1): 48-55 (2014) - [j12]Cynthia Rudin, Kiri L. Wagstaff
Machine learning for science and society. Mach. Learn. 95(1): 1-9 (2014) - 2013
- [j11]David R. Thompson, Walid A. Majid, Colorado Reed, Kiri L. Wagstaff
Semi-supervised Eigenbasis novelty detection. Stat. Anal. Data Min. 6(3): 195-204 (2013) - [c27]Kiri L. Wagstaff, Nina L. Lanza, David R. Thompson, Thomas G. Dietterich, Martha S. Gilmore:
Guiding Scientific Discovery with Explanations Using DEMUD. AAAI 2013: 905-911 - [c26]Kitty K. Lo, Tara Murphy
Online Classification for Time-Domain Astronomy. ICDM Workshops 2013: 24-31 - 2012
- [j10]Kiri L. Wagstaff
Dynamic Landmarking for Surface Feature Identification and Change Detection. ACM Trans. Intell. Syst. Technol. 3(3): 49:1-49:22 (2012) - [j9]Lukas Mandrake, Umaa Rebbapragada, Kiri L. Wagstaff
Surface Sulfur Detection via Remote Sensing and Onboard Classification. ACM Trans. Intell. Syst. Technol. 3(4): 77:1-77:20 (2012) - [c25]Kiri Wagstaff:
Machine Learning that Matters. ICML 2012 - [i1]Kiri Wagstaff:
Machine Learning that Matters. CoRR abs/1206.4656 (2012) - 2011
- [j8]Marie desJardins, Mehran Sahami, Kiri Wagstaff:
EAAI-10: The First Symposium on Educational Advances in Artificial Intelligence. AI Mag. 32(1): 91-92 (2011) - [j7]Amy McGovern, Kiri L. Wagstaff
Machine learning in space: extending our reach. Mach. Learn. 84(3): 335-340 (2011) - [c24]David R. Thompson, Walid A. Majid, Kiri Wagstaff, Colorado Reed:
Semi-Supervised Novelty Detection with Adaptive Eigenbases, and Application to Radio Transients. CIDU 2011: 118-128 - 2010
- [j6]Kiri L. Wagstaff
Progressive refinement for support vector machines. Data Min. Knowl. Discov. 20(1): 53-69 (2010) - [j5]Kiri L. Wagstaff
Modelling and learning user preferences over sets. J. Exp. Theor. Artif. Intell. 22(3): 237-268 (2010) - [c23]Marie desJardins, James MacGlashan, Kiri L. Wagstaff
Confidence-Based Feature Acquisition to Minimize Training and Test Costs. SDM 2010: 514-524 - [r1]Kiri L. Wagstaff:
Constrained Clustering. Encyclopedia of Machine Learning 2010: 220-221
2000 – 2009
- 2009
- [j4]Razvan C. Bunescu, Vitor R. Carvalho, Jan Chomicki, Vincent Conitzer, Michael T. Cox, Virginia Dignum, Zachary Dodds, Mark Dredze
AAAI 2008 Workshop Reports. AI Mag. 30(1): 108-118 (2009) - [c22]Kiri L. Wagstaff
K-means in space: a radiation sensitivity evaluation. ICML 2009: 1097-1104 - [c21]Lukas Mandrake, Kiri L. Wagstaff
Onboard SVM analysis of Hyperion data to detect sulfur deposits in Arctic regions. WHISPERS 2009: 1-4 - 2008
- [c20]Kiri L. Wagstaff
Multiple-Instance Regression with Structured Data. ICDM Workshops 2008: 291-300 - 2007
- [j3]Kiri L. Wagstaff, Terran Lane:
Report on the SIGART Doctoral Consortium. AI Mag. 28(1): 84-85 (2007) - [c19]Rebecca Castaño, Kiri Wagstaff
On-board analysis of uncalibrated data for a spacecraft at mars. KDD 2007: 922-930 - 2006
- [j2]Kiri Wagstaff:
The 2005 SIGART/AAAI Doctoral Consortium. AI Mag. 27(1): 96 (2006) - [c18]Kiri Wagstaff, Sugato Basu, Ian Davidson:
When Is Constrained Clustering Beneficial, and Why?. AAAI 2006 - [c17]Dominic Mazzoni, Kiri Wagstaff
Active Learning with Irrelevant Examples. ECML 2006: 695-702 - [c16]Marie desJardins, Eric Eaton, Kiri Wagstaff
Learning user preferences for sets of objects. ICML 2006: 273-280 - [c15]Kiri Wagstaff
Value, Cost, and Sharing: Open Issues in Constrained Clustering. KDID 2006: 1-10 - [c14]Ian Davidson, Kiri Wagstaff
Measuring Constraint-Set Utility for Partitional Clustering Algorithms. PKDD 2006: 115-126 - 2005
- [c13]Marie desJardins, Kiri Wagstaff:
DD-PREF: A Language for Expressing Preferences over Sets. AAAI 2005: 620-626 - [c12]Marie desJardins, Eric Eaton, Kiri Wagstaff:
A Context-Sensitive and User-Centric Approach to Developing Personal Assistants. AAAI Spring Symposium: Persistent Assistants: Living and Working with AI 2005: 98-100 - [c11]Qianjun Xu, Marie desJardins, Kiri Wagstaff
Active Constrained Clustering by Examining Spectral Eigenvectors. Discovery Science 2005: 294-307 - [c10]Qianjun Xu, Marie desJardins, Kiri Wagstaff:
Constrained Spectral Clustering under a Local Proximity Structure Assumption. FLAIRS 2005: 866-867 - 2004
- [j1]Stefan Schrödl, Kiri Wagstaff
Mining GPS Traces for Map Refinement. Data Min. Knowl. Discov. 9(1): 59-87 (2004) - 2002
- [b1]Kiri Wagstaff:
Intelligent Clustering with Instance-Level Constraints. Cornell University, USA, 2002 - 2001
- [c9]Kiri Wagstaff, Claire Cardie, Seth Rogers, Stefan Schrödl:
Constrained K-means Clustering with Background Knowledge. ICML 2001: 577-584 - [c8]Annaka Kalton, Pat Langley, Kiri Wagstaff
Generalized clustering, supervised learning, and data assignment. KDD 2001: 299-304 - [c7]Michael White, Tanya Korelsky, Claire Cardie, Vincent Ng, David R. Pierce, Kiri Wagstaff:
Multidocument Summarization via Information Extraction. HLT 2001 - 2000
- [c6]Kiri Wagstaff, Claire Cardie:
Clustering with Instance-Level Constraints. AAAI/IAAI 2000: 1097 - [c5]Kiri Wagstaff:
Refining Inductive Bias in Unsupervised Learning via Constraints. AAAI/IAAI 2000: 1112 - [c4]Kiri Wagstaff, Claire Cardie:
Clustering with Instance-level Constraints. ICML 2000: 1103-1110 - [c3]Dennis DeCoste, Kiri Wagstaff
Alpha seeding for support vector machines. KDD 2000: 345-349
1990 – 1999
- 1999
- [c2]Claire Cardie, Kiri Wagstaff:
Noun Phrase Coreference as Clustering. EMNLP 1999 - 1998
- [c1]Chris Buckley, Janet A. Walz, Claire Cardie, Scott Anthony Mardis, Mandar Mitra, David R. Pierce, Kiri Wagstaff
The Smart/Empire TIPSTER IR System. TIPSTER 1998: 107-121
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-08-05 21:20 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: