Christian R. Shelton

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

Distributed Learning of Neural Networks with One Round of Communication.

[BibT_eX]

[DOI]

Mike Izbicki

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

CNN-BLSTM-CRF Network for Semantic Labeling of Students' Online Handwritten Assignments.

[BibT_eX]

[DOI]

Proceedings of the 2019 International Conference on Document Analysis and Recognition, 2019

2018

Modeling "Presentness" of Electronic Health Record Data to Improve Patient State Estimation.

[BibT_eX]

[DOI]

Jacob Fauber

Proceedings of the Machine Learning for Healthcare Conference, 2018

Explaining Contrasting Categories.

[BibT_eX]

[DOI]

Proceedings of the Joint Proceedings of the ACM IUI 2018 Workshops co-located with the 23rd ACM Conference on Intelligent User Interfaces (ACM IUI 2018), 2018

Hawkes Process Inference With Missing Data.

[BibT_eX]

[DOI]

Chandini Shetty

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Event Detection in Continuous Video: An Inference in Point Process Approach.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2017

Marked Point Process for Severity of Illness Assessment.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning for Health Care Conference, 2017

Identification of destabilizing attacks in power systems.

[BibT_eX]

[DOI]

Proceedings of the 2017 American Control Conference, 2017

2016

Social Grouping for Multi-Target Tracking and Head Pose Estimation in Video.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2016

2015

Auxiliary Gibbs Sampling for Inference in Piecewise-Constant Conditional Intensity Models.

[BibT_eX]

[DOI]

Proceedings of the Thirty-First Conference on Uncertainty in Artificial Intelligence, 2015

Faster cover trees.

[BibT_eX]

[DOI]

Mike Izbicki

Proceedings of the 32nd International Conference on Machine Learning, 2015

2014

Tutorial on Structured Continuous-Time Markov Processes.

[BibT_eX]

[DOI]

Gianfranco Ciardo

J. Artif. Intell. Res., 2014

Deterministic Anytime Inference for Stochastic Continuous-Time Markov Processes.

[BibT_eX]

[DOI]

E. Busra Celikkaya

Proceedings of the 31th International Conference on Machine Learning, 2014

2013

A new criterion function for exploratory blockmodeling for structural and regular equivalence.

[BibT_eX]

[DOI]

Juan I. Casse

Robert A. Hanneman

Soc. Networks, 2013

Social grouping for target handover in multi-view video.

[BibT_eX]

[DOI]

Lunshao Chai

Proceedings of the 2013 IEEE International Conference on Multimedia and Expo, 2013

2012

Automated, highly-accurate, bug assignment using machine learning and tossing graphs.

[BibT_eX]

[DOI]

Pamela Bhattacharya

Iulian Neamtiu

J. Syst. Softw., 2012

Visualization of Collaborative Data.

[BibT_eX]

[DOI]

Guobiao Mei

CoRR, 2012

Re-ranking using compression-based distance measure for Content-based Commercial Product Image Retrieval.

[BibT_eX]

[DOI]

Proceedings of the 19th IEEE International Conference on Image Processing, 2012

Improving multi-target tracking via social grouping.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Robert A. Hanneman

Soc. Netw. Anal. Min., 2011

Factored Filtering of Continuous-Time Systems.

[BibT_eX]

[DOI]

E. Busra Celikkaya

William Lam

Proceedings of the UAI 2011, 2011

A particle filter for monocular vision-aided odometry.

[BibT_eX]

[DOI]

Teddy N. Yap Jr.

Mingyang Li

Anastasios I. Mourikis

Proceedings of the IEEE International Conference on Robotics and Automation, 2011

2010

Continuous Time Bayesian Network Reasoning and Learning Engine.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2010

Importance Sampling for Continuous Time Bayesian Networks.

[BibT_eX]

[DOI]

Yu Fan

Jing Xu

J. Mach. Learn. Res., 2010

Intrusion Detection using Continuous Time Bayesian Networks.

[BibT_eX]

[DOI]

Jing Xu

J. Artif. Intell. Res., 2010

Annotating Historical Archives of Images.

[BibT_eX]

[DOI]

Int. J. Digit. Libr. Syst., 2010

Predicting conserved protein motifs with Sub-HMMs.

[BibT_eX]

[DOI]

Kevin Horan

Thomas Girke

BMC Bioinform., 2010

Interactive Event Search through Transfer Learning.

[BibT_eX]

[DOI]

Antony Lam

Amit K. Roy-Chowdhury

Proceedings of the Computer Vision - ACCV 2010, 2010

2009

Momentum control for balance.

[BibT_eX]

[DOI]

Adriano Macchietto

Victor B. Zordan

ACM Trans. Graph., 2009

Learning Continuous-Time Social Network Dynamics.

[BibT_eX]

[DOI]

Yu Fan

Proceedings of the UAI 2009, 2009

SLAM in large indoor environments with low-cost, noisy, and sparse sonars.

[BibT_eX]

[DOI]

Teddy N. Yap Jr.

Proceedings of the 2009 IEEE International Conference on Robotics and Automation, 2009

2008

Continuous Time Bayesian Networks for Host Level Network Intrusion Detection.

[BibT_eX]

[DOI]

Jing Xu

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2008

Catenary Support Vector Machines.

[BibT_eX]

[DOI]

Kin Fai Kan

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2008

Solving Structured Continuous-Time Markov Decision Processes.

[BibT_eX]

[DOI]

Kin Fai Kan

Proceedings of the International Symposium on Artificial Intelligence and Mathematics, 2008

Sampling for Approximate Inference in Continuous Time Bayesian Networks.

[BibT_eX]

[DOI]

Yu Fan

Proceedings of the International Symposium on Artificial Intelligence and Mathematics, 2008

Simultaneous learning of motion and sensor model parameters for mobile robots.

[BibT_eX]

[DOI]

Teddy N. Yap Jr.

Proceedings of the 2008 IEEE International Conference on Robotics and Automation, 2008

Unsupervised image embedding using nonparametric statistics.

[BibT_eX]

[DOI]

Guobiao Mei

Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

Face recognition and alignment using support vector machines.

[BibT_eX]

[DOI]

Antony Lam

Proceedings of the 8th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2008), 2008

2007

Investigating Generative Factors of Score Matrices.

[BibT_eX]

Titus Winters

Tom Payne

Proceedings of the Artificial Intelligence in Education, 2007

2006

A Continuation Method for Nash Equilibria in Structured Games.

[BibT_eX]

[DOI]

Ben Blum

J. Artif. Intell. Res., 2006

Cobot in LambdaMOO: An Adaptive Social Statistics Agent.

[BibT_eX]

[DOI]

Charles Lee Isbell Jr.

Auton. Agents Multi Agent Syst., 2006

Chained Boosting.

[BibT_eX]

[DOI]

Chotirat Ann Ratanamahatana

Wesley Huie

Kin Fai Kan

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

Fast time series classification using numerosity reduction.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning, 2006

2005

Expectation Maximization and Complex Duration Distributions for Continuous Time Bayesian Networks.

[BibT_eX]

[DOI]

Proceedings of the UAI '05, 2005

Expectation Propagation for Continuous Time Bayesian Networks.

[BibT_eX]

[DOI]

Proceedings of the UAI '05, 2005

2003

Learning Continuous Time Bayesian Networks.

[BibT_eX]

[DOI]

Proceedings of the UAI '03, 2003

2002

Reinforcement Learning with Partially Known World Dynamics.

[BibT_eX]

[DOI]

Proceedings of the UAI '02, 2002

Continuous Time Bayesian Networks.

[BibT_eX]

[DOI]

Proceedings of the UAI '02, 2002

Learning from Scarce Experience.

[BibT_eX]

Leonid Peshkin

Proceedings of the Machine Learning, 2002

2001

Importance sampling for reinforcement learning with multiple objectives.

[BibT_eX]

[DOI]

PhD thesis, 2001

Policy Improvement for POMDPs Using Normalized Importance Sampling.

[BibT_eX]

[DOI]

Proceedings of the UAI '01: Proceedings of the 17th Conference in Uncertainty in Artificial Intelligence, 2001

Cobot: A Social Reinforcement Learning Agent.

[BibT_eX]

[DOI]

Charles Lee Isbell Jr.

Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001

A social reinforcement learning agent.

[BibT_eX]

[DOI]

Charles Lee Isbell Jr.

Proceedings of the Fifth International Conference on Autonomous Agents, 2001

2000

Morphable Surface Models.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., 2000

Balancing Multiple Sources of Reward in Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 13, 2000

1999

Machine Learning, Machine Vision, and the Brain.

[BibT_eX]

[DOI]

Tomaso A. Poggio

AI Mag., 1999

1998

A perturbation scheme for spherical arrangements with application to molecular modeling.

[BibT_eX]

[DOI]

Dan Halperin