Kiri Wagstaff

Orcid: 0000-0003-4401-5506

According to our database1, Kiri Wagstaff authored at least 72 papers between 1998 and 2024.

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Bibliography

2024
Evaluating Terrain-Dependent Performance for Martian Frost Detection in Visible Satellite Observations.
CoRR, 2024

Interactive Mars Image Content-Based Search with Interpretable Machine Learning.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Hidden Heterogeneity: When to Choose Similarity-Based Calibration.
Trans. Mach. Learn. Res., 2023

Cosmic Microwave Background Recovery: A Graph-Based Bayesian Convolutional Network Approach.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Resource Consumption and Radiation Tolerance Assessment for Data Analysis Algorithms Onboard Spacecraft.
IEEE Trans. Aerosp. Electron. Syst., 2022

Unsupervised detection of Saturn magnetic field boundary crossings from plasma spectrometer data.
Comput. Geosci., 2022

Using Machine Learning to Reduce Observational Biases When Detecting New Impacts on Mars.
CoRR, 2022

Exploiting Unary Relations with Stacked Learning for Relation Extraction.
Proceedings of the Third Workshop on Scholarly Document Processing, 2022

2021
Integrating Novelty Detection Capabilities with MSL Mastcam Operations to Enhance Data Analysis.
CoRR, 2021

Mars Image Content Classification: Three Years of NASA Deployment and Recent Advances.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Visualizing image content to explain novel image discovery.
Data Min. Knowl. Discov., 2020

Comparison of novelty detection methods for multispectral images in rover-based planetary exploration missions.
Data Min. Knowl. Discov., 2020

2019
Toward Generalized Change Detection on Planetary Surfaces With Convolutional Autoencoders and Transfer Learning.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019

Enabling Onboard Detection of Events of Scientific Interest for the Europa Clipper Spacecraft.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Novelty Detection for Multispectral Images with Application to Planetary Exploration.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Interpretable Discovery in Large Image Data Sets.
CoRR, 2018

Deep Mars: CNN Classification of Mars Imagery for the PDS Imaging Atlas.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Mars Target Encyclopedia: Rock and Soil Composition Extracted From the Literature.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Constrained Clustering.
Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017

Robotic space exploration agents.
Sci. Robotics, 2017

Onboard Autonomy on the Intelligent Payload Experiment CubeSat Mission.
J. Aerosp. Inf. Syst., 2017

2016
Creating a Mars Target Encyclopedia by Extracting Information from the Planetary Science Literature.
Proceedings of the Knowledge Extraction from Text, 2016

2015
Welcome to AI Matters issue 4.
AI Matters, 2015

Welcome to AI Matters issue 3.
AI Matters, 2015

Onboard machine learning classification of images by a cubesat in Earth orbit.
AI Matters, 2015

Welcome to AI Matter: volume 2, issue 1.
AI Matters, 2015

A Summary of the Twenty-Ninth AAAI Conference on Artificial Intelligence.
AI Mag., 2015

Autonomy for remote sensing - Experiences from the IPEX CubeSat.
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015

2014
Machine learning for science and society.
Mach. Learn., 2014

Real-Time Adaptive Event Detection in Astronomical Data Streams.
IEEE Intell. Syst., 2014

Computing in Astronomy: Applications and Examples.
Computer, 2014

Welcome to AI Matters Issue 2.
AI Matters, 2014

Welcome to AI matters.
AI Matters, 2014

2013
Semi-supervised Eigenbasis novelty detection.
Stat. Anal. Data Min., 2013

Online Classification for Time-Domain Astronomy.
Proceedings of the 13th IEEE International Conference on Data Mining Workshops, 2013

Guiding Scientific Discovery with Explanations Using DEMUD.
Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013

2012
Dynamic Landmarking for Surface Feature Identification and Change Detection.
ACM Trans. Intell. Syst. Technol., 2012

Surface Sulfur Detection via Remote Sensing and Onboard Classification.
ACM Trans. Intell. Syst. Technol., 2012

Machine Learning that Matters.
Proceedings of the 29th International Conference on Machine Learning, 2012

2011
Machine learning in space: extending our reach.
Mach. Learn., 2011

EAAI-10: The First Symposium on Educational Advances in Artificial Intelligence.
AI Mag., 2011

Semi-Supervised Novelty Detection with Adaptive Eigenbases, and Application to Radio Transients.
Proceedings of the 2011 Conference on Intelligent Data Understanding, 2011

2010
Constrained Clustering.
Proceedings of the Encyclopedia of Machine Learning, 2010

Modelling and learning user preferences over sets.
J. Exp. Theor. Artif. Intell., 2010

Progressive refinement for support vector machines.
Data Min. Knowl. Discov., 2010

Confidence-Based Feature Acquisition to Minimize Training and Test Costs.
Proceedings of the SIAM International Conference on Data Mining, 2010

2009
AAAI 2008 Workshop Reports.
AI Mag., 2009

Onboard SVM analysis of Hyperion data to detect sulfur deposits in Arctic regions.
Proceedings of the First Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2009

K-means in space: a radiation sensitivity evaluation.
Proceedings of the 26th Annual International Conference on Machine Learning, 2009

2008
Multiple-Instance Regression with Structured Data.
Proceedings of the Workshops Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

2007
Report on the SIGART Doctoral Consortium.
AI Mag., 2007

On-board analysis of uncalibrated data for a spacecraft at mars.
Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007

2006
The 2005 SIGART/AAAI Doctoral Consortium.
AI Mag., 2006

Measuring Constraint-Set Utility for Partitional Clustering Algorithms.
Proceedings of the Knowledge Discovery in Databases: PKDD 2006, 2006

Value, Cost, and Sharing: Open Issues in Constrained Clustering.
Proceedings of the Knowledge Discovery in Inductive Databases, 5th International Workshop, 2006

Learning user preferences for sets of objects.
Proceedings of the Machine Learning, 2006

Active Learning with Irrelevant Examples.
Proceedings of the Machine Learning: ECML 2006, 2006

When Is Constrained Clustering Beneficial, and Why?.
Proceedings of the Proceedings, 2006

2005
Constrained Spectral Clustering under a Local Proximity Structure Assumption.
Proceedings of the Eighteenth International Florida Artificial Intelligence Research Society Conference, 2005

Active Constrained Clustering by Examining Spectral Eigenvectors.
Proceedings of the Discovery Science, 8th International Conference, 2005

A Context-Sensitive and User-Centric Approach to Developing Personal Assistants.
Proceedings of the Persistent Assistants: Living and Working with AI, 2005

DD-PREF: A Language for Expressing Preferences over Sets.
Proceedings of the Proceedings, 2005

2004
Mining GPS Traces for Map Refinement.
Data Min. Knowl. Discov., 2004

2002
Intelligent Clustering with Instance-Level Constraints.
PhD thesis, 2002

2001
Multidocument Summarization via Information Extraction.
Proceedings of the First International Conference on Human Language Technology Research, 2001

Generalized clustering, supervised learning, and data assignment.
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining, 2001

Constrained K-means Clustering with Background Knowledge.
Proceedings of the Eighteenth International Conference on Machine Learning (ICML 2001), Williams College, Williamstown, MA, USA, June 28, 2001

2000
Alpha seeding for support vector machines.
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining, 2000

Clustering with Instance-level Constraints.
Proceedings of the Seventeenth International Conference on Machine Learning (ICML 2000), Stanford University, Stanford, CA, USA, June 29, 2000

Refining Inductive Bias in Unsupervised Learning via Constraints.
Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on on Innovative Applications of Artificial Intelligence, July 30, 2000

1999
Noun Phrase Coreference as Clustering.
Proceedings of the Joint SIGDAT Conference on Empirical Methods in Natural Language Processing and Very Large Corpora, 1999

1998
The Smart/Empire TIPSTER IR System.
Proceedings of the TIPSTER TEXT PROGRAM PHASE III: Proceedings of a Workshop held at Baltimore, 1998


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