| 2011 | CogSci | Explanation-based Mechanisms for Learning: An Interdisciplinary Approach. | Michelene T. H. Chi, Gerald DeJong, Cristine H. Legare, Tania Lombrozo, Joseph Jay Williams |
| 2011 | IJCNLP | Automatic Topic Model Adaptation for Sentiment Analysis in Structured Domains. | Geoffrey Levine, Gerald DeJong |
| 2009 | IAAI | An Ensemble Learning and Problem Solving Architecture for Airspace Management. | Xiaoqin Zhang, Sung Wook Yoon, Phillip DiBona, Darren Scott Appling, Li Ding, Janardhan Rao Doppa, Derek T. Green, Jinhong K. Guo, Ugur Kuter, Geoffrey Levine, Reid MacTavish, Daniel McFarlane, James Michaelis, Hala Mostafa, Santiago Ontan, Charles Parker, Jainarayan Radhakrishnan, Antons Rebguns, Bhavesh Shrestha, Zhexuan Song, Ethan Trewhitt, Huzaifa Zafar, Chongjie Zhang, Daniel D. Corkill, Gerald DeJong, Thomas G. Dietterich, Subbarao Kambhampati, Victor R. Lesser, Deborah L. McGuinness, Ashwin Ram, Diana F. Spears, Prasad Tadepalli, Elizabeth T. Whitaker, Weng-Keen Wong, James A. Hendler, Martin O. Hofmann, Kenneth R. Whitebread |
| 2009 | ICIAP | Object Detection by Estimating and Combining High-Level Features. | Geoffrey Levine, Gerald DeJong |
| 2008 | ICML | Active reinforcement learning. | Arkady Epshteyn, Adam Vogel, Gerald DeJong |
| 2008 | WACV | Explanation-Based Object Recognition. | Geoffrey Levine, Gerald DeJong |
| 2007 | IJCAI | Explanation-Based Feature Construction. | Shiau Hong Lim, Li-Lun Wang, Gerald DeJong |
| 2006 | AAAI | Explanation-Based Learning for Image Understanding. | Qiang Sun, Li-Lun Wang, Gerald DeJong |
| 2006 | ICML | Qualitative reinforcement learning. | Arkady Epshteyn, Gerald DeJong |
| 2005 | CVPR | Feature Kernel Functions: Improving SVMs Using High-Level Knowledge. | Qiang Sun, Gerald DeJong |
| 2005 | ICML | Explanation-Augmented SVM: an approach to incorporating domain knowledge into SVM learning. | Qiang Sun, Gerald DeJong |
| 2003 | ICML | The Influence of Reward on the Speed of Reinforcement Learning: An Analysis of Shaping. | Adam Laud, Gerald DeJong |
| 2003 | PLDI | A comparison of empirical and model-driven optimization. | Kamen Yotov, Xiaoming Li, Gang Ren, Michael Cibulskis, Gerald DeJong, Mara Jess Garzarn, David A. Padua, Keshav Pingali, Paul Stodghill, Peng Wu |
| 2002 | ICML | Reinforcement Learning and Shaping: Encouraging Intended Behaviors. | Adam Laud, Gerald DeJong |
| 2000 | ICML | Hidden Strengths and Limitations: An Empirical Investigation of Reinforcement Learning. | Gerald DeJong |
| 1999 | ICML | Learning to Ride a Bicycle using Iterated Phantom Induction. | Mark Brodie, Gerald DeJong |
| 1998 | AAAI | Iterated Phantom Induction: A Little Knowledge Can Go a Long Way. | Mark Brodie, Gerald DeJong |
| 1995 | ICML | A Case Study of Explanation-Based Control. | Gerald DeJong |
| 1995 | IJCAI | GRASPER: A Permissive Planning Robot. | Scott W. Bennett, Gerald DeJong |
| 1995 | IJCAI | Extending Classical Planning to Real-World Execution with Machine Learning. | Gerald DeJong, Scott W. Bennett |
| 1994 | AAAI | Improving Learning Performance Through Rational Resource Allocation. | Jonathan Gratch, Steve A. Chien, Gerald DeJong |
| 1994 | ICML | An Incremental Learning Approach for Completable Planning. | Melinda T. Gervasio, Gerald DeJong |
| 1993 | AAAI | Permissive Planning: A Machine Learning Approach to Linking Internal and External Worlds. | Gerald DeJong, Scott W. Bennett |
| 1993 | ICML | Learning Search Control Knowledge for Deep Space Network Scheduling. | Jonathan Gratch, Steve A. Chien, Gerald DeJong |
| 1992 | AAAI | COMPOSER: A Probabilistic Solution to the Utility Problem in Speed-Up Learning. | Jonathan Gratch, Gerald DeJong |
| 1992 | ICML | An Analysis of Learning to Plan as a Search Problem. | Jonathan Gratch, Gerald DeJong |
| 1991 | ICML | Comparing Stochastic Planning to the Acquisition of Increasingly Permissive Plans. | Scott W. Bennett, Gerald DeJong |
| 1991 | ICML | On Becoming Decreasingly Reactive: Learning to Deliberate Minimally. | Steve A. Chien, Melinda T. Gervasio, Gerald DeJong |
| 1991 | ICML | A Hybrid Approach to Guaranteed Effective Control Strategies. | Jonathan Gratch, Gerald DeJong |
| 1989 | ICML | Explanation-Based Learning of Reactive Operations. | Melinda T. Gervasio, Gerald DeJong |
| 1988 | ECAI | Some Thoughts on the Present and Future of Explanation-Based Learning. | Gerald DeJong |
| 1988 | ICML | Active Explanation Reduction: An Approach to the Multiple Explanations Problem. | Shankar A. Rajamoney, Gerald DeJong |
| 1987 | AAAI | BAGGER: An EBL System that Extends and Generalizes Explanations. | Jude W. Shavlik, Gerald DeJong |
| 1987 | IJCAI | The Classification, Detection and Handling of Imperfect Theory Problems. | Shankar A. Rajamoney, Gerald DeJong |
| 1987 | IJCAI | An Explanation-based Approach to Generalizing Number. | Jude W. Shavlik, Gerald DeJong |
| 1986 | ISSAC | Computer understanding and generalization of symbolic mathematical calculations: a case study in physics problem solving. | Jude W. Shavlik, Gerald DeJong |
| 1985 | IJCAI | Learning Schemata for Natural Language Processing. | Raymond J. Mooney, Gerald DeJong |
| 1985 | IJCAI | Towards a Model of Conceptual Knowledge Acquisition Through Directed Experimentation. | Shankar A. Rajamoney, Gerald DeJong, Boi Faltings |
| 1985 | ICRA | Explanation-based manipulator learning: Acquisition of planning ability through observation. | Alberto Maria Segre, Gerald DeJong |
| 1983 | IJCAI | Acquiring Schemata Through Understanding and Generalizing Plans. | Gerald DeJong |
| 1983 | SIGIR | Artificial Intelligence Implications for Information Retrieval. | Gerald DeJong |
| 1982 | AAAI | Automatic Schema Acquisition in a Natural Language Environment. | Gerald DeJong |
| 1981 | IJCAI | Generalizations Based on Explanations. | Gerald DeJong |
| 1980 | SIGIR | Conceptual Information Retrieval. | Roger C. Schank, Janet L. Kolodner, Gerald DeJong |
| 1979 | IJCAI | Prediction and Substantiation: Two Processes that Comprise Understanding. | Gerald DeJong |
| 1977 | IJCAI | Skimming Newspaper Stories by Computer. | Gerald DeJong |