Publications by Year


  • Bryan R. Gibson, Using Machine Learning to Understand and Influence Human Categorization Behavior, 8 2015, doctoral thesis. pdf
  • Bryan R. Gibson, Timothy T. Rogers, Chuck W. Kalish, Xiaojin Zhu. What causes category-shifting in human semi-supervised learning?. In Proceedings of the 37th Annual Conference of the Cognitive Science Society (CogSci), 2015. pdf


  • Bryan R. Gibson, Timothy T. Rogers, Xiaojin Zhu. Human Semi-Supervised Learning. Topics in Cognitive Science, 5:132--172, 2013. link | data


  • Xiaojin Zhu, Bryan R. Gibson, and Timothy T. Rogers. Co-training as a human collaboration policy. In The Twenty-Fifth Conference on Artificial Intelligence (AAAI-11), 2011. pdf | slides | data
  • Arthur Glenberg, Jonathan Willford, Bryan Gibson, Andrew Goldberg, and Xiaojin Zhu. Improving reading to improve math. Scientific Studies in Reading, 2011.


  • Bryan R. Gibson, Xiaojin Zhu, Tim Rogers, Chuck Kalish, and Joseph Harrison. Humans learn using manifolds, reluctantly. In Advances in Neural Information Processing Systems (NIPS) 24, 2010. pdf | poster
  • Bryan R. Gibson, Kwang-Sung Jun, and Xiaojin Zhu. With a little help from the computer: Hybrid human-machine systems on bandit problems. In NIPS 2010 Workshop on Computational Social Science and the Wisdom of Crowds, 2010. pdf | poster
  • Xiaojin Zhu, Bryan R. Gibson, Kwang-Sung Jun, Timothy T. Rogers, Joseph Harrison, and Chuck Kalish. Cognitive models of test-item effects in human category learning. In The 27th International Conference on Machine Learning (ICML), 2010. pdf
  • Timothy T. Rogers, Charles Kalish, Bryan R. Gibson, Joseph Harrison and Xiaojin Zhu. Semi-supervised learning is observed in a speeded but not an unspeeded 2D categorization task. In Proceedings of the 32nd Annual Conference of the Cognitive Science Society (CogSci), 2010. pdf


  • Xiaojin Zhu, Timothy T. Rogers, and Bryan R. Gibson. Human Rademacher Complexity. In Advances in Neural Information Processing Systems (NIPS) 23, 2009. pdf
  • Dragomir R. Radev, Mark Joseph, Bryan Gibson, and Pradeep Muthukrishnan. A Bibliometric and Network Analysis of the Field of Computational Linguistics. Journal of the American Society for Information Science and Technology, 2009. pdf
  • Andrew Goldberg, Nathanael Fillmore, David Andrzejewski, Zhiting Xu, Bryan Gibson, and Xiaojin Zhu. May all your wishes come true: A study of wishes and how to recognize them. In North American Chapter of the Association for Computational Linguistics - Human Language Technologies (NAACL HLT), 2009. pdf


  • Steven Bird, Robert Dale, Bonnie Dorr, Bryan Gibson, Mark T. Joseph, Min-Yen Kan, Dongwon Lee, Brett Powley, Dragomir R. Radev, and Yee Fan Tan. The ACL anthology reference corpus: a reference dataset for bibliographic research. In LREC, 2008. pdf


  • Dragomir R. Radev, Mark Hodges, Anthony Fader, Mark Joseph, Joshua Gerrish, Mark Schaller, Jonathan dePeri, and Bryan Gibson. Clairlib documentation v1.03. Technical Report CSE-TR-536-07, University of Michigan. Department of Electrical Engineering and Computer Science, 2007. link