Publications

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.


Year:   Author:
Topic:   Venue:
Show topics?

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.