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 Conference Proceedings
  • Matthew D. Schmill and Tim Oates. "Managing Uncertainty in Text-To-Sketch Tracking Problems". In Proceedings of the 23rd Conference on Tools with AI Boca Raton, FL, November 2011.
  • Gary. W. King, Matthew D. Schmill, Andrew Hannon, and Paul Cohen. "The Asymmetric Threat Assessment Tool (ATAT)". In Proceedings of the 14th Conference on Behavior Representation in Modeling and Simulation (BRIMS) Orlando, FL, May 2005. L. Allender and T. Kelley, Eds.
  • Matthew D. Schmill, and Paul R. Cohen. "A motivational system that drives the development of activity". In Proceedings of the First International Joint Conference on Autonomous Agents and Multi-Agent Systems, Bologna, Italy, July 2002.
  • Victor Lavrenko, Matthew D. Schmill, Dawn Lawrie, Paul Ogilvie, David Jensen and James Allan. "Language Models for Financial News Recommendation," In Proceedings of the Ninth International Conference on Information and Knowledge Management CIKM, Washington, DC November 6-11, 2000.
  • Oates, Tim, Matthew D. Schmill, Paul R. Cohen. "A Method for Clustering the Experiences of a Mobile Robot that Accords with Human Judgements". In Proceedings of the Seventeenth Interational Conference on Artificial Intelligence, pp. 846-851. AAAI Press/The MIT Press: Menlo Park/Cambridge, 2000.
  • Schmill, Matthew D. Schmill, Tim Oates and Paul R. Cohen. "Learning Planning Operators in Real-World, Partially Observable Environments". In Proceedings of the Fifth International Conference on Artificial Intelligence Planning and Scheduling pp. 134-135. ACM: New York, NY, 2000.
  • Tim Oates, Matthew D. Schmill, and Paul R. Cohen. Efficient Mining of Statistical Dependencies. In Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence, 1999.
  • Tim Oates, Matthew D. Schmill and Paul R. Cohen. "Identifying Qualitatively Different Outcomes of Actions: Gaining Autonomy Through Learning". In Proceedings of The Fourth International Conference on Autonomous Agents, 1999.
  • David Jensen and Matthew D. Schmill. "Accounting for Multiple Comparisons in Decision Tree Pruning". In Proceedings of the Third International Conference on Knowledge Discovery and Data Mining, 1997.
  • Matthew D. Schmill, M.T. Rosenstain, Paul R. Cohen, and Paul Utgoff. "Learning What Is Relevant to the Effects of Actions for a Mobile Robot". In Proceedings of the Second International Conference on Autonomous Agents, 1997.
  • Tim Oates, Matthew D. Schmill, and Paul R. Cohen. "Parallel and Distributed Search for Structure in Multivariate Time Series". In Proceedings of the Ninth European Conference on Machine Learning, 1996.
  • Matthew D. Schmill, Tim Oates and Paul R. Cohen. "Tools for Detecting Dependencies in AI Systems". In Proceedings of the Seventh International IEEE Conference on Tools with Artificial Intelligence, 1995.
 Book Chapters
  • Tim Oates, Matthew D. Schmill, Dawn E. Gregory and Paul R. Cohen. "Detecting Complex Dependencies in Categorical Data". In Doug Fisher and Hans Lenz, editors, Finding Structure in Data: Artificial Intelligence and Statistics V. Springer Verlag, 1995.
 Workshops
  • Matthew D. Schmill and Tim Oates. "A Probabilistic Framework for Text-To-Sketch". In Proceedings of the 2012 National Geospatial-Intelligence Agency (NGA) Academic Research Program (NARP) Symposium and Workshops, August 2012.
  • Matthew D. Schmill and Tim Oates. "A Probabilistic Framework for Text-To-Sketch". In Proceedings of the 2011 National Geospatial-Intelligence Agency (NGA) Academic Research Program (NARP) Symposium and Workshops, September 2011.
  • Matthew D. Schmill, Darsana Josyula, Michael Anderson, Tim Oates, Don Perlis, and Scott Fults. "Ontologies for Reasoning about Failures in AI Systems". In First International Workshop on Metareasoning in Agent-Based Systems, 2007.
  • Michael L. Anderson, Matthew D. Schmill, Tim Oates, Don Perlis, Darsana Josyula, Dean Wright, and Shomir Wilson. "Toward Domain-Neutral Human-Level Metacognition". In Proceedings of the Eighth International Symposium on Logical Formalizations of Commonsense Reasoning, 2007.
  • Victor Lavrenko, Matthew D. Schmill, Dawn Lawrie, Paul Ogilvie, David Jensen and James Allan. "Mining of Concurent Text and Time Series". In Proceedings of the Sixth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 37-44, 2000.
  • Tim Oates, Matthew D. Schmill, and Paul R. Cohen. "Identifying Qualitatively Different Outcomes of Actions: Experiments with a Mobile Robot". In Working Notes of the IJCAI-99 Workshop on Robot Action Planning, 1999.
  • Matthew D. Schmill, Tim Oates, and Paul R. Cohen. "Learned Models for Continuous Planning". In Proceedings of the Seventh International Workshop on Artificial Intelligence and Statistics, 1999

  • Tim Oates, Matthew D. Schmill, Paul R. Cohen, and Casey Durfee. "Efficient Mining of Statistical Dependencies". In Proceedings of the Seventh International Workshop on Artificial Intelligence and Statistics, pages 133 - 141, 1999.
  • Oates, Tim, Matthew D. Schmill, David Jensen, and Paul R. Cohen. "A Family of Algorithms for Finding Temporal Structure in Data". The Preliminary Papers of the Sixth International Workshop on Artificial Intelligence and Statistics, 1997.
  • Michael T. Rosenstein, Paul R. Cohen, Matthew D. Schmill, and Marc S. Atkin. "Action representation, prediction and concepts". AAAI Workshop on Robots, Softbots, Immobots: Theories of Action, Planning and Control, 1997.