Kiri Wagstaff

Publication Activity (10 Years)

Years Active: 1998-2021
Publications (10 Years): 2

Top Topics

Conference On Artificial Intelligence

Machine Learning

Top Venues

Publications

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)
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. CoRR (2021)
Robert Morris, Blai Bonet, Marc Cavazza, Marie desJardins, Ariel Felner, Nick Hawes, Brad Knox, Sven Koenig, George Dimitri Konidaris, Jérôme Lang, Carlos Linares López, Daniele Magazzeni, Amy McGovern, Sriraam Natarajan, Nathan R. Sturtevant, Michael Thielscher, William Yeoh, Sebastian Sardiña, Kiri Wagstaff
A Summary of the Twenty-Ninth AAAI Conference on Artificial Intelligence. AI Mag. 36 (3) (2015)
Joshua Doubleday, Steve A. Chien, Charles D. Norton, Kiri Wagstaff, David R. Thompson, John Bellardo, Craig Francis, Eric Baumgarten
Autonomy for remote sensing - Experiences from the IPEX CubeSat. IGARSS (2015)
Kiri Wagstaff
Welcome to AI Matters issue 3. AI Matters 1 (3) (2015)
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, Joseph Lazio, Dayton L. Jones, Alice Allen, Lior Shamir, Peter J. Teuben
Computing in Astronomy: Applications and Examples. Computer 47 (9) (2014)
Kiri Wagstaff
Welcome to AI Matters Issue 2. AI Matters 1 (2) (2014)
Kiri Wagstaff
Welcome to AI matters. AI Matters 1 (1) (2014)
Kitty K. Lo, Tara Murphy, Umaa Rebbapragada, Kiri Wagstaff
Online Classification for Time-Domain Astronomy. ICDM Workshops (2013)
Kiri Wagstaff
Machine Learning that Matters CoRR (2012)
Kiri Wagstaff
Machine Learning that Matters. ICML (2012)
Marie desJardins, Mehran Sahami, Kiri Wagstaff
EAAI-10: The First Symposium on Educational Advances in Artificial Intelligence. AI Mag. 32 (1) (2011)
David R. Thompson, Walid A. Majid, Kiri Wagstaff, Colorado Reed
Semi-Supervised Novelty Detection with Adaptive Eigenbases, and Application to Radio Transients. CIDU (2011)
Razvan C. Bunescu, Vitor R. Carvalho, Jan Chomicki, Vincent Conitzer, Michael T. Cox, Virginia Dignum, Zachary Dodds, Mark Dredze, David Furcy, Evgeniy Gabrilovich, Mehmet H. Göker, Hans W. Guesgen, Haym Hirsh, Dietmar Jannach, Ulrich Junker, Wolfgang Ketter, Alfred Kobsa, Sven Koenig, Tessa A. Lau, Lundy Lewis, Eric T. Matson, Ted Metzler, Rada Mihalcea, Bamshad Mobasher, Joelle Pineau, Pascal Poupart, Anita Raja, Wheeler Ruml, Norman M. Sadeh, Guy Shani, Daniel G. Shapiro, Sarabjot Singh Anand, Matthew E. Taylor, Kiri Wagstaff, Trey Smith, William E. Walsh, Rong Zhou
AAAI 2008 Workshop Reports. AI Mag. 30 (1) (2009)
Rebecca Castaño, Kiri Wagstaff, Steve A. Chien, Timothy M. Stough, Benyang Tang
On-board analysis of uncalibrated data for a spacecraft at mars. KDD (2007)
Kiri Wagstaff, Sugato Basu, Ian Davidson
When Is Constrained Clustering Beneficial, and Why?. AAAI (2006)
Kiri Wagstaff
Value, Cost, and Sharing: Open Issues in Constrained Clustering. KDID (2006)
Ian Davidson, Kiri Wagstaff, Sugato Basu
Measuring Constraint-Set Utility for Partitional Clustering Algorithms. PKDD (2006)
Dominic Mazzoni, Kiri Wagstaff, Michael C. Burl
Active Learning with Irrelevant Examples. ECML (2006)
Marie desJardins, Eric Eaton, Kiri Wagstaff
Learning user preferences for sets of objects. ICML (2006)
Kiri Wagstaff
The 2005 SIGART/AAAI Doctoral Consortium. AI Mag. 27 (1) (2006)
Qianjun Xu, Marie desJardins, Kiri Wagstaff
Active Constrained Clustering by Examining Spectral Eigenvectors. Discovery Science (2005)
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)
Marie desJardins, Kiri Wagstaff
DD-PREF: A Language for Expressing Preferences over Sets. AAAI (2005)
Qianjun Xu, Marie desJardins, Kiri Wagstaff
Constrained Spectral Clustering under a Local Proximity Structure Assumption. FLAIRS Conference (2005)
Stefan Schrödl, Kiri Wagstaff, Seth Rogers, Pat Langley, Christopher Wilson
Mining GPS Traces for Map Refinement. Data Min. Knowl. Discov. 9 (1) (2004)
Annaka Kalton, Pat Langley, Kiri Wagstaff, Jungsoon P. Yoo
Generalized clustering, supervised learning, and data assignment. KDD (2001)
Michael White, Tanya Korelsky, Claire Cardie, Vincent Ng, David R. Pierce, Kiri Wagstaff
Multidocument Summarization via Information Extraction. HLT (2001)
Kiri Wagstaff, Claire Cardie, Seth Rogers, Stefan Schrödl
Constrained K-means Clustering with Background Knowledge. ICML (2001)
Kiri Wagstaff, Claire Cardie
Clustering with Instance-level Constraints. ICML (2000)
Kiri Wagstaff
Refining Inductive Bias in Unsupervised Learning via Constraints. AAAI/IAAI (2000)
Dennis DeCoste, Kiri Wagstaff
Alpha seeding for support vector machines. KDD (2000)
Kiri Wagstaff, Claire Cardie
Clustering with Instance-Level Constraints. AAAI/IAAI (2000)
Claire Cardie, Kiri Wagstaff
Noun Phrase Coreference as Clustering. EMNLP (1999)
Chris Buckley, Janet A. Walz, Claire Cardie, Scott Mardis, Mandar Mitra, David R. Pierce, Kiri Wagstaff
The Smart/Empire TIPSTER IR System. TIPSTER (1998)