Publications
Book Reviews
- Tom Armstrong. Book Review: “Unifying Computing and Cognition,” by J. Gerard Wolff. Artificial Intelligence. Volume 171, Issue 18, December 2007.
Peer-Reviewed Conferences
- Mark LeBlanc, Tom Armstrong, and Michael B. Gousie. Connecting Across Campus. In the Proceedings of the 41st SIGCSE Technical Symposium on Computer Science Eduction (SIGCSE), 2010.
- Tom Armstrong and Tim Oates. Which Came First, the Grammar or the Lexicon? In the Proceedings of the 9th International Colloquium on Grammatical Inference (ICGI), 2008.
- Tom Armstrong and Tim Oates. Lexical and Grammatical Learning. In the Proceedings of the 23rd AAAI Conference on Artificial Intelligence (AAAI) (student abstract), 2008.
- Tom Armstrong and Tim Oates. Learning in the Lexical-Grammatical Interface. In the Proceedings of the 21st International Florida Artificial Intelligence Research Society Conference (FLAIRS), 2008.
- Tom Armstrong and Tim Oates. RIPTIDE: Segmenting Data Using Multiple Resolutions. In the Proceedings of the 6th IEEE International Conference on Development and Learning (ICDL), 2007.
- Tom Armstrong and Tim Oates. UNDERTOW: Multi-Level Segmentation of Real-Valued Time Series. In the Proceedings of the 22nd AAAI Conference on Artificial Intelligence (AAAI) (student abstract), 2007.
- Joe Catalano, Tom Armstrong, and Tim Oates. Discovering Patterns In Real-valued Time Series. In the Proceedings of the 10th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD), 2006.
- Tim Oates, Tom Armstrong, Leonor Becerra-Bonache, and Mike Atamas. Inferring Grammars for Mildly Context-Sensitive Languages in Polynomial-Time. In the Proceeding of the 8th International Colloquium on Grammatical Inference (ICGI), 2006.
- Bill Krueger, Tim Oates, Tom Armstrong, Paul Cohen, and Carole Beal. Transfer in Learning by Doing. In the Proceedings of the 19th International Joint Conference on Artificial Intelligence (IJCAI), 2005.
- Tim Oates, Tom Armstrong, Justin Harris, and Mark Nejman. On the Relationship Between Lexical Semantics and Syntax for the Inference of Context-Free Grammars. In the Proceedings of the 19th National Conference on Artificial Intelligence (AAAI), 2004.
Peer-Reviewed Workshops and Symposia
- Gabe Chaddock, Marc Pickett, Tom Armstrong, and Tim Oates. Models of Strategic Deficiency and Poker. In the Working Notes of the Workshop on Plan, Activity, and Intent Recognition (PAIR) at the 22nd Conference on Artificial Intelligence (AAAI), 2007.
- Tim Oates, Tom Armstrong, Leonor Becerra-Bonache, and Mike Atamas. A Polynomial Time Algorithm for Inferring Grammars for Mildly Context Sensitive Languages. In the Working Notes of the Workshop on Grammatical Inference Applications: Successes and Future Challenges at the 19th International Joint Conference on Artificial Intelligence (IJCAI), 2005.
- Tom Armstrong and Tim Oates. Meaning to Learn: Bootstrapping Semantics to Infer Syntax. In the Working Notes of the AAAI Spring Symposium on Language Learning, 2004.
- Tim Oates, Tom Armstrong, Justin Harris, and Mark Nejman. Leveraging Lexical Semantics to Infer Context-Free Grammars. In the Working Notes of the Workshop on Learning Context-Free Grammars at the 14th European Conference on Machine Learning (ECML), 2003.