Here's a partial list of my publications (for example, it doesn't include workshop papers and the like; however, you can find at least some of those here). It probably isn't up-to-date, but I do feel guilty about that. On the other hand, at least now it's cute and automated. It required hacking someone else's perl code, stringing together and modifying three different code bases, and dealing with a file length feature in NFS, but I got tenure, and--who knows?--maybe that's what made the difference.
BTW, where I've provided PDFs, I should point out that they are usually copyright the publisher, something about only for academic use, something else legal, etc.
Michael Holmes, Alex Gray, and Charles Isbell.
QUIC-SVD: Fast SVD Using Cosine Trees.
In Advances in Neural Information Processing Systems (NIPS) 21,
2009.
→ BibTeX, Topic: scalable machine learning
Olufisayo Omojokun, Charles Isbell, and Prasun Dewan.
Towards Automatic Personalization of Device Controls.
In Proceedings of the Twenty-Seventh International Conference on
Consumer Electronics (ICCE), 2009.
→ BibTeX, Topics: activity discovery; HCI; adaptive interfaces
David Roberts and Charles Isbell.
A Survey and Qualitative Analysis of Recent Advances in Drama
Management.
To appear in the International Transactions on Systems Science
and Applications, 2008.
→ BibTeX, Topics: entertainment; autonomous agents; drama management
David Roberts, Charles Isbell, and Michael Littman.
Optimization Problems Involving Collections of Dependent Objects.
To appear in the Annals of Operations Research, 2008.
→ BibTeX, Topic: optimization
David Roberts, Charles Isbell, Mark Riedl, Ian Bogost, and Merrick Furst.
Computational Models of Influence for Interactive Experiences.
In Proceedings of the First International Conference on
Interactive Digital Storytelling (ICIDS), 2008.
→ BibTeX, Topics: entertainment; autonomous agents; computational influence; drama management
Olufisayo Omojokun, Mike Genovese, and Charles Isbell.
Impact of User Context on Song Selection.
In Proceedings of the Sixteenth ACM SIGMM International
Conference on Multimedia (ACMMM), 2008.
→ BibTeX, Topics: activity discovery; HCI; adaptive interfaces
Christopher Simpkins, Sooraj Bhat, Charles Isbell, and Michael Mateas.
Adaptive Programming: Integrating Reinforcement Learning into a
Programming Language.
In Proceedings of the Twenty-Third ACM SIGPLAN International
Conference on Object-Oriented Programming, Systems, Languages, and
Applications (OOPSLA), 2008.
→ BibTeX, Topics: partial programming; a2bl
Rudolph Mappus, David Minnen, and Charles Isbell.
Dimensionality Reduction for Improved Source Separation in fMRI
Data.
In Proceedings of theInternational Conference on Bio-inspired
Systems and Signal Processing (BIOSIGNALS), 2008.
→ BibTeX, Topics: brain imaging; independent components analysis
Michael Holmes, Alex Gray, and Charles Isbell.
Ultrafast Monte Carlo for Kernel Estimators and Generalized
Statistical Summations.
In Advances in Neural Information Processing Systems (NIPS) 20,
2008.
→ Abstract, PDF, BibTeX, Topics: optimization; scalable machine learning
David Minnen, Thad Starner, Charles Isbell, and Irfan Essa.
Detecting Subdimensional Motifs: An Efficient Algorithm for
Generalized Multivariate Pattern Discovery.
In Proceedings of the Seventh IEEE International Conference on
Data Mining (ICDM), 2007.
→ Abstract, PDF, BibTeX, Topic: activity discovery
Michael Holmes, Alex Gray, and Charles Isbell.
Fast Nonparametric Conditional Density Estimation.
In Proceedings of the Twenty-Third Conference on Uncertainty in
Artificial Intelligence (UAI), 2007.
→ Abstract, PDF, BibTeX, Topics: optimization; density estimation; scalable machine learning
David Roberts, Sooraj Bhat, Kenneth St. Clair, and Charles Isbell.
Authorial Idioms for Target Distributions in TTD-MDPs.
In Proceedings of the Twenty-Second National Conference on
Artificial Intelligence (AAAI), 2007.
→ BibTeX, Topics: autonomous agents; drama management; ttd-mdps
David Minnen, Charles Isbell, Irfan Essa, and Thad Starner.
Discovering Multivariate Motifs using Subsequence Density
Estimation.
In Proceedings of the Twenty-Second National Conference on
Artificial Intelligence (AAAI), 2007.
→ Abstract, PDF, BibTeX, Topic: activity discovery
David Roberts, Andrew Cantino, and Charles Isbell.
Player Autonomy versus Designer Intent: A Case Study of Interactive
Tour Guides.
In Proceedings of the Third Artificial Intelligence and
Interactive Digital Entertainment (AIIDE), 2007.
→ BibTeX, Topics: entertainment; autonomous agents; drama management; ttd-mdps
Sooraj Bhat, David Roberts, Mark Nelson, Charles Isbell, and Michael Mateas.
A Globally Optimal Online Algorithm for TTD-MDPs.
In Proceedings of the Sixth International Joint Conference on
Autonomous Agents and Multiagent Systems (AAMAS), 2007.
→ Abstract, PDF, BibTeX, Topics: entertainment; drama management; ttd-mdps
David Roberts, Andrew Cantino, and Charles Isbell.
Improving Quality of Experience Using TTD-MDP-Based Tour Guides.
In Proceedings of the Sixth International Joint Conference on
Autonomous Agents and Multiagent Systems (AAMAS), 2007. The pdf points to a longer technical report.
→ Abstract, PDF, BibTeX, Topics: entertainment; autonomous agents; drama management; ttd-mdps
Merrick Furst, Charles Isbell, and Mark Guzdial.
Threads: How to Restructure a Computer Science Curriculum for a Flat
World.
In Proceedings of the Thirty-Eighth Technical Symposium on
Computer Science Education (SIGCSE), 2007.
→ Abstract, PDF, more info, BibTeX, Topics: education; threads
Peng Zang and Charles Isbell.
Managing Domain Knowledge and Multiple Models with Boosting.
In Proceedings of the Twentieth International Joint Conference
on Artificial Intelligence (IJCAI), 2007. This version contains some minor corrections from the camera-ready IJCAI paper.
→ Abstract, PDF, BibTeX, Topic: boosting
David Minnen, Thad Starner, Irfan Essa, and Charles Isbell.
Improving Activity Discovery with Automatic Neighborhood
Estimation.
In Proceedings of the Twentieth International Joint Conference
on Artificial Intelligence (IJCAI), 2007.
→ Abstract, PDF, BibTeX, Topic: activity discovery
Manu Sharma, Michael Holmes, Juan Santamaria, Arya Irani, Charles Isbell, and
Ashwin Ram.
Transfer Learning in Real-Time Strategy Games Using Hybrid CBR/RL.
In Proceedings of the Twentieth International Joint Conference
on Artificial Intelligence (IJCAI), 2007.
→ Abstract, BibTeX, Topics: transfer learning; reinforcement learning
Charles Isbell, Michael Kearns, Satinder Singh, Christian R. Shelton, Peter
Stone, and Dave Kormann.
Cobot in LambdaMOO: An Adaptive Social Statistics Agent.
Journal of Autonomous Agents and Multi-Agent Systems,
13(3):327-354, 2006.
→ Abstract, more info, BibTeX, Topics: autonomous agents; cobot; reinforcement learning
Mark J. Nelson, Michael Mateas, David L. Roberts, and Charles Isbell.
Declarative Optimization-Based Drama Management in Interactive
Fiction.
IEEE Computer Graphics & Applications, 26(3):32-41, 2006.
→ Abstract, PDF, BibTeX, Topics: entertainment; drama management
Tucker Balch, Frank Dellaert, Adam Feldman, Andrew Guillory, Charles Isbell,
Zia Kahn, Andrew Stein, and Hank Wilde.
How AI and Multi-Robot Systems Research Will Accelerate Our
Understanding of Social Animal Behavior.
Proceedings of the IEEE, 94(7):1445-1463, 2006.
→ Abstract, PDF, BibTeX, Topic: modeling
Olufisayo Omojokun, Jeffrey Pierce, Charles Isbell, and Prasun Dewan.
Comparing End-User and Intelligent Remote Control Interface
Generation.
Personal and Ubiquitous Computing, 10(2-3):136-143, 2006.
→ Abstract, BibTeX, Topics: activity discovery; HCI; adaptive interfaces
David Minnen, Thad Starner, Irfan Essa, and Charles Isbell.
Discovering Characteristic Actions from On-Body Sensor Data.
In Proceedings of the Tenth IEEE International Symposium on
Wearable Computers (ISWC), 2006. Nominated for a Best Paper Award.
→ Abstract, PDF, BibTeX, Topic: activity discovery
Sooraj Bhat, Charles Isbell, and Michael Mateas.
On the Difficulty of Modular Reinforcement Learning for Real-World
Partial Programming.
In Proceedings of the Twenty-First National Conference on
Artificial Intelligence (AAAI), 2006.
→ Abstract, PDF, BibTeX, Topics: partial programming; a2bl
David Roberts, Mark Nelson, Charles Isbell, Michael Mateas, and Michael
Littman.
Targeting Specific Distributions of Trajectories in MDPs.
In Proceedings of the Twenty-First National Conference on
Artificial Intelligence (AAAI), 2006.
→ Abstract, PDF, BibTeX, Topics: entertainment; drama management; ttd-mdps
Michael Holmes and Charles Isbell.
Looping Suffix Tree-Based Inference of Partially Observable Hidden
State.
In Proceedings of the Twenty-Third International Conference on
Machine Learning (ICML), 2006. Winner of Distinguished Student Paper Award.
→ Abstract, PDF, BibTeX, Topics: state discovery; predictive state representations
Mark Nelson, David Roberts, Charles Isbell, and Michael Mateas.
Reinforcement Learning in Declarative Optimization-Based Drama
Management.
In Proceedings of the Fifth International Joint Conference on
Autonomous Agents and Multiagent Systems (AAMAS), 2006.
→ Abstract, PDF, BibTeX, Topics: entertainment; drama management; reinforcement learning
Andrew Guillory, Tucker Balch, and Charles Isbell.
Learning Executable Models of Behavior from Observations and Low
Level Knowledge.
In Proceedings of the Fifth International Joint Conference on
Autonomous Agents and Multiagent Systems (AAMAS), 2006.
→ Abstract, BibTeX, Topic: modeling
David Roberts, Sooraj Bhat, Charles Isbell, Brian Cooper, and Jeffrey Pierce.
A Decision-Theoretic Approach to File Consistency in Constrained
Peer-to-Peer Device Networks.
In Proceedings of the Fifth International Joint Conference on
Autonomous Agents and Multiagent Systems (AAMAS), 2006.
→ Abstract, BibTeX, Topics: unison; adaptive networks
Raffay Hamid, S. Maddi, Amos Johnson, S. Batta, Aaron Bobick, Irfan Essa, and
Charles Isbell.
Unsupervised Activity Discovery and Characterization from
Event-Streams.
In Proceedings of the Twenty-First Conference on Uncertainty in
Artificial Intelligence (UAI), 2005. A version of this work was also presented at The Learning Workshop at Snowbird, 2005.
→ Abstract, PDF, BibTeX, Topic: activity discovery
Raffay Hamid, Amos Johnson, S. Batta, Aaron Bobick, Charles Isbell, and
G. Coleman.
Detection and Explanation of Anomalous Activities: Representing
Activities as Bags of Event n-Grams.
In Proceedings of the Twenty-Third IEEE Conference on Computer
Vision and Pattern Recognition (CVPR), pages 1031-1038, 2005.
→ Abstract, PDF, BibTeX, Topics: activity discovery; anomaly detection
Michael Holmes and Charles Isbell.
Schema Learning: Experience-based Construction of Predictive Action
Models.
In Advances in Neural Information Processing Systems (NIPS) 17,
pages 585-562, 2005.
→ Abstract, PDF, BibTeX, Topics: state discovery; schemas; predictive state representations
Charles Isbell and Jeff Pierce.
An IP Continuum for Adaptive Interface Design.
In Proceedings of the 11th International Conference on
Human-Computer Interaction (HCII), 2005.
→ Abstract, PDF, BibTeX, Topics: HCI; adaptive interfaces; IP Continuum
Charles Isbell, Olufisayo Omojokun, and Jeffrey Pierce.
From Devices to Tasks: Automatic Task Prediction for Personalized
Appliance Control.
Personal and Ubiquitous Computing, 8(3):146-153, 2004.
→ Abstract, PDF, BibTeX, Topics: activity discovery; HCI; adaptive interfaces
Brian Landry, Jeffrey Pierce, and Charles Isbell.
Supporting Routine Decision-Making with a Next-Generation Alarm
Clock.
Personal and Ubiquitous Computing, 8(3):154-160, 2004.
→ Abstract, BibTeX, Topic: HCI
Yukio Ohsawa, Peter McBurney, Simon Parsons, Christopher A. Miller, Alan
Schultz, Jean Scholtz, Michael A. Goodrich, Eugene Santos Jr, Benjamin Bell,
Charles Isbell, and Michael L. Littman.
AAAI-2002 Fall Symposium Series.
AI Magazine, 24(1):95-98, 2003.
→ BibTeX
Lawrence Saul, Daniel Lee, Charles Isbell, and Yaun LeCun.
Real time voice processing with audiovisual feedback: toward
autonomous agents with perfect pitch.
In Advances in Neural Information Processing Systems (NIPS) 15,
pages 1205-1212, 2003.
→