Strategy-Proofness in the Stable Matching Problem with Couples,Perrault, A., Drummond, J., and Bacchus, F., Proc. of the 2016 International Conference on Autonomous Agents & Multiagent Systems (AAMAS-16).
SAT is an Effective and Complete Method for Solving Stable Matching Problems with Couples, Drummond, J., Perrault, A., and Bacchus F., Proc. of the Twenty-fourth International Joint Conference on Artificial Intelligence (IJCAI-15).
Preference Elicitation and Interview Minimization in Stable Matchings, Drummond, J., and Boutilier, C., Proc. of the Twenty-eighth Conference on Artificial Intelligence (AAAI-14), pages 645-653.
Elicitation and Approximately Stable Matching with Partial Preferences, Drummond, J., and Boutilier, C., Proc. of the Twenty-third International Joint Conference on Artificial Intelligence (IJCAI-13).
Intrinsic and Extrinsic Evaluation of an Automatic User Disengagement Detector for an Uncertainty-Adaptive Spoken Dialogue System, Forbes-Riley, K., Litman, D., Friedberg, H., and Drummond, J., Proc. of the 2012 Conference of the North American Chapter of the Association for Computational Linguistics (NAACL 2012).
Examining the Impacts of Dialogue Content and System Automation on Affect Models in a Spoken Tutorial Dialogue System, Drummond, J., and Litman, D., Proc. of the Special Interest Group on Discourse and Dialogue (SIGDIAL) 2011 conference, pages 312--318.
A State Transition Model for Student Online Discussions, Seo, S.W., Kang, J.H., Drummond, J., and Kim, J., Proc. of the 17th Conference on Knowledge Discovery and Data Mining (AMC SIGKDD 2011) Workshop on Knowledge Discovery in Educational Data.
Using Graphical Models to Classify Dialogue Transition in Online Q&A Discussions, Seo, S.W., Kang, J.H., Drummond, J., and Kim, J., Proc of the 15th International Conference on Artificial Intelligence in Education (AIED 2011), pages 550-553.
Role of Elaborated Answers on Degrees of Student Participation in an Online Question-Answer Discussion Forum, Drummond, J., and Kim, J., Presented at 2011 Annual Meeting of the American Educational Research Association (AERA).
In the Zone: Towards Detecting Student Zoning Out using Supervised Machine Learning, Drummond, J., and Litman, D., Proc. of the 10th International Conference on Intelligent Tutoring Systems (ITS 2010), pages 306-308.
Evidence of Misunderstandings in Tutorial Dialogue and their Impact on Learning, Jordan, P., Litman, D., Lipschultz, M., and Drummond, J., Proc. of the 14th International Conference on Artificial Intelligence in Education (AIED 2009), pages 125--132.
Natural Interviewing Equilibria for Stable Matching, Drummond, J., Borodin, A., and Larson, K.