Christian R. Shelton

According to our database1, Christian R. Shelton authored at least 59 papers between 1996 and 2020.

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Bibliography

2020
Features or Shape? Tackling the False Dichotomy of Time Series Classification.
Proceedings of the 2020 SIAM International Conference on Data Mining, 2020

2019
Distributed Learning of Non-convex Linear Models with One Round of Communication.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

Distributed Learning of Neural Networks with One Round of Communication.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

2018
Modeling "Presentness" of Electronic Health Record Data to Improve Patient State Estimation.
Proceedings of the Machine Learning for Healthcare Conference, 2018

Hawkes Process Inference With Missing Data.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Event Detection in Continuous Video: An Inference in Point Process Approach.
IEEE Trans. Image Process., 2017

Marked Point Process for Severity of Illness Assessment.
Proceedings of the Machine Learning for Health Care Conference, 2017

Identification of destabilizing attacks in power systems.
Proceedings of the 2017 American Control Conference, 2017

2016
Social Grouping for Multi-Target Tracking and Head Pose Estimation in Video.
IEEE Trans. Pattern Anal. Mach. Intell., 2016

2015
Auxiliary Gibbs Sampling for Inference in Piecewise-Constant Conditional Intensity Models.
Proceedings of the Thirty-First Conference on Uncertainty in Artificial Intelligence, 2015

Faster cover trees.
Proceedings of the 32nd International Conference on Machine Learning, 2015

2014
Tutorial on Structured Continuous-Time Markov Processes.
J. Artif. Intell. Res., 2014

Deterministic Anytime Inference for Stochastic Continuous-Time Markov Processes.
Proceedings of the 31th International Conference on Machine Learning, 2014

2013
A new criterion function for exploratory blockmodeling for structural and regular equivalence.
Soc. Networks, 2013

Social grouping for target handover in multi-view video.
Proceedings of the 2013 IEEE International Conference on Multimedia and Expo, 2013

2012
Automated, highly-accurate, bug assignment using machine learning and tossing graphs.
J. Syst. Softw., 2012

Visualization of Collaborative Data.
CoRR, 2012

Re-ranking using compression-based distance measure for Content-based Commercial Product Image Retrieval.
Proceedings of the 19th IEEE International Conference on Image Processing, 2012

Improving multi-target tracking via social grouping.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

2011
Applying modality and equivalence concepts to pattern finding in social process-produced data.
Social Netw. Analys. Mining, 2011

Factored Filtering of Continuous-Time Systems.
Proceedings of the UAI 2011, 2011

A particle filter for monocular vision-aided odometry.
Proceedings of the IEEE International Conference on Robotics and Automation, 2011

2010
Continuous Time Bayesian Network Reasoning and Learning Engine.
J. Mach. Learn. Res., 2010

Importance Sampling for Continuous Time Bayesian Networks.
J. Mach. Learn. Res., 2010

Intrusion Detection using Continuous Time Bayesian Networks.
J. Artif. Intell. Res., 2010

Annotating Historical Archives of Images.
IJDLS, 2010

Predicting conserved protein motifs with Sub-HMMs.
BMC Bioinform., 2010

Interactive Event Search through Transfer Learning.
Proceedings of the Computer Vision - ACCV 2010, 2010

2009
Momentum control for balance.
ACM Trans. Graph., 2009

Learning Continuous-Time Social Network Dynamics.
Proceedings of the UAI 2009, 2009

SLAM in large indoor environments with low-cost, noisy, and sparse sonars.
Proceedings of the 2009 IEEE International Conference on Robotics and Automation, 2009

2008
Continuous Time Bayesian Networks for Host Level Network Intrusion Detection.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2008

Catenary Support Vector Machines.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2008

Solving Structured Continuous-Time Markov Decision Processes.
Proceedings of the International Symposium on Artificial Intelligence and Mathematics, 2008

Sampling for Approximate Inference in Continuous Time Bayesian Networks.
Proceedings of the International Symposium on Artificial Intelligence and Mathematics, 2008

Simultaneous learning of motion and sensor model parameters for mobile robots.
Proceedings of the 2008 IEEE International Conference on Robotics and Automation, 2008

Unsupervised image embedding using nonparametric statistics.
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

Face recognition and alignment using support vector machines.
Proceedings of the 8th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2008), 2008

2007
Investigating Generative Factors of Score Matrices.
Proceedings of the Artificial Intelligence in Education, 2007

2006
A Continuation Method for Nash Equilibria in Structured Games.
J. Artif. Intell. Res., 2006

Cobot in LambdaMOO: An Adaptive Social Statistics Agent.
Auton. Agents Multi Agent Syst., 2006

Chained Boosting.
Proceedings of the Advances in Neural Information Processing Systems 19, 2006

Fast time series classification using numerosity reduction.
Proceedings of the Machine Learning, 2006

2005
Expectation Maximization and Complex Duration Distributions for Continuous Time Bayesian Networks.
Proceedings of the UAI '05, 2005

Expectation Propagation for Continuous Time Bayesian Networks.
Proceedings of the UAI '05, 2005

2003
Learning Continuous Time Bayesian Networks.
Proceedings of the UAI '03, 2003

2002
Reinforcement Learning with Partially Known World Dynamics.
Proceedings of the UAI '02, 2002

Continuous Time Bayesian Networks.
Proceedings of the UAI '02, 2002

Learning from Scarce Experience.
Proceedings of the Machine Learning, 2002

2001
Importance sampling for reinforcement learning with multiple objectives.
PhD thesis, 2001

Policy Improvement for POMDPs Using Normalized Importance Sampling.
Proceedings of the UAI '01: Proceedings of the 17th Conference in Uncertainty in Artificial Intelligence, 2001

Cobot: A Social Reinforcement Learning Agent.
Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001

A social reinforcement learning agent.
Proceedings of the Fifth International Conference on Autonomous Agents, 2001

2000
Morphable Surface Models.
Int. J. Comput. Vis., 2000

Balancing Multiple Sources of Reward in Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 13, 2000

1999
Machine Learning, Machine Vision, and the Brain.
AI Magazine, 1999

1998
A perturbation scheme for spherical arrangements with application to molecular modeling.
Comput. Geom., 1998

RAPID: Randomized pharmacophore identification for drug design.
Comput. Geom., 1998

1996
Geometric Manipulation of Flexible Ligands.
Proceedings of the Applied Computational Geormetry, 1996


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