Publications
Machine LearningEric Eaton, Marie desJardins, and Terran Lane, Using Functions on a Model Graph for Inductive Transfer. In the Northeast Student Colloquium on Artificial Intelligence (NESCAI-08), Ithaca, NY, May 2008.Eric Eaton, Marie desJardins, and John Stevenson, Using Multiresolution Learning for Transfer in Image Classification. Proceedings of the Twenty-Second Conference on Artificial Intelligence (AAAI-07), Vancouver, British Columbia, Canada, 2007. Kiri Wagstaff, Marie desJardins, Eric Eaton, and J. C. Montminy, III, Learning and Visualizing User Preferences Over Sets. Submitted to the AAAI-07 Workshop on Preference Handling for Artificial Intelligence, Vancouver, British Columbia, Canada, 2007. Adam Anthony and Marie desJardins, Data Clustering with a Relational Push-Pull Model. ICDM Workshop on Optimization-based Data Mining Techniques with Applications, Omaha, NE, 2007. Adam Anthony and Marie desJardins, Data Clustering with a Relational Push-Pull Model. AAAI Student Abstract, Vancouver, British Columbia, Canada, 2007. Fusun Yaman and Marie desJardins, More-or-less CP-networks. Proceedings of the Twenty-Third Conference on Uncertainty in Artificial Intelligence, Vancouver, British Columbia, Canada, 2007. Marie desJardins and Matthew E. Gaston, Speaking of relations: Connecting statistical relational learning and multi-agent systems. ICML Workshop on Open Problems in Statistical Relational Learning, Pittsburgh, PA, 2006. Adam Anthony, Marie desJardins, Open Problems in Relational Clustering. ICML workshop on Open Problems in Statistical Relational Learning, Pittsburgh, PA, 2006. Eric Eaton and Marie desJardins, Knowledge Transfer with a Multiresolution Ensemble of Classifiers. ICML-06 Workshop on Structural Knowledge Transfer for Machine Learning, June 29, Pittsburgh, PA, 2006. Eric Eaton, Multi-Resolution Learning for Knowledge Transfer. In Proceedings of the Twenty-First National Conference on Artificial Intelligence (AAAI-06). AAAI Press: Boston, MA, July 2006. Marie desJardins, Eric Eaton, and Kiri Wagstaff, Learning User Preferences for Sets of Objects. In Proceedings of the 23rd International Conference on Machine Learning, Pittsburgh, PA, 2006. Marie desJardins, James MacGlashan, and Julia Ferraioli, Interactive visual clustering. Submitted to the 2006 International Conference on Intelligent User Interfaces. Qianjun Xu, Marie desJardins, and Kiri Wagstaff, Constrained spectral clustering under a local proximity assumption. In Proceedings of the 18th International Conference of the Florida Artificial Intelligence Research Society (FLAIRS-05), Clearwater Beach, FL, May 2005. Srinivas Bhagavatula, Penny Rheingans, and Marie desJardins, Discovering high-level parameters for visualization design. In Proceedings of EuroVis 2005: Eurographics/IEEE-VGTC Symposium on Visualization. Leeds, United Kingdom, June 2005. Marie desJardins, Lise, Getoor, and Priyang Rathod, Bayesian network learning with abstraction hierarchies and context-specific independence. In Proceedings of the 16th European Conference on Machine Learning (ECML-2005). Qianjun Xu, Marie desJardins, and Kiri Wagstaff, Active constrained clustering by examining spectral eigenvectors. In Proceedings of Discovery Science 2005 (winner of the Carl Smith Best Student Paper Award). Marie desJardins, Machine Learning (sidebar entry). In Van Nostrand Encyclopedia of Science 9/e, John Wiley and Sons, New York, 2002. Marie desJardins, Lise Getoor, and Daphne Koller, Using feature hierarchies in Bayesian network learning (Extended Abstract). In Proceedings of the Symposium on Abstraction, Reformulation and Reformulation (SARA-2000), ACM Press, 2000. Penny Rheingans and Marie desJardins, Visualizing high-dimensional predictive model quality. In Proceedings of IEEE Visualization 2000. Marie desJardins and Penny Rheingans, Visualization of high-dimensional model characteristics. In Working Notes of the CIKM-99 Workshop on New Paradigms in Information Visualization and Manipulation, ACM Press. Marie desJardins, Peter D. Karp, Markus Krummenacker, Thomas J. Lee, and Christos A. Ouzonis, Prediction of enzyme classification from protein sequence without the use of sequence similarity. In Proceedings of the Fifth International Conference on Intelligent Systems for Molecular Biology, Halkidiki, Greece, 1997. Diana F. Gordon and Marie desJardins, Evaluation and selection of biases in machine learning. Machine Learning 20(1-2), July/August 1995, pp. 5-22. Marie desJardins, Goal-directed learning: a decision-theoretic model for deciding what to learn next. In Goal-Driven Learning, Ashwin Ram and David B. Leake, eds., MIT Press, 1995. Denise W. Gürer, Marie desJardins, and Mark Schlager, Representing a student's learning states and transitions. In Working Notes of the AAAI Spring Symposium on Representing Mental States and Mechanisms, Stanford, CA. Published as a AAAI technical report, 1995. Marie desJardins, The use of relevance to evaluate learning biases. In Working Notes of the AAAI Fall Symposium on Relevance, New Orleans. Published as a AAAI Technical Report, 1994. Marie desJardins, Evaluation of learning biases using probabilistic domain knowledge. in Stephen Jose Hanson et al., Computational Learning Theory and Natural Learning Systems, Vol. 2, ch. 7, pp. 95-112. MIT Press, 1994. Marie desJardins, An integrated architecture for autonomous intelligent agents. In Working Notes of the AAAI Workshop on Learning Action Models, Washington, D.C. Published as a AAAI Technical Report, 1993. Marie desJardins, PAGODA: A model for autonomous learning in probabilistic domains (abstract). Dissertation abstract, AI Magazine, Spring 1993, pp. 75-76. Marie desJardins and Denise Gürer, Machine learning-based adaptive training systems. In Working Notes of the AI in Education Workshop on Collaborative Problem Solving, Edinburgh, Scotland, 1993. Marie desJardins, PAGODA: A Model for Autonomous Learning in Probabilistic Domains. Ph.D. dissertation, University of California, Berkeley, 1992. Available as UC Berkeley Technical Report No. UCB/CSD 92/678. Marie desJardins, Probabilistic evaluation of bias for learning systems. In Proceedings of the Machine Learning Workshop, Evanston, Illinois. Morgan Kaufmann, 1991. Planning and SchedulingBlazej Bulka and Marie desJardins, Integrating top-down planning with a bottom-up approach that learns to locally combine actions. In Working Notes of the AAAI Spring Symposium on Distributed Plan and Schedule Management, AAAI Press, 2006.Mithun Sheshagiri, Marie desJardins, and Tim Finin, A planner for composing services described in DAML-S. ICAPS 2003 Workshop on Planning for Web Services, July 2003. Kishalay Kundu, Chad Sessions, Marie desJardins, and Penny Rheingans, Three-dimensional visualization of hierarchical task network plans. Proceedings of the Third International NASA Workshop on Planning and Scheduling for Space, Houston, Texas, October 27-29, 2002. Karen L. Myers, Michael J. Wolverton, W. Mabry Tyson, Peter A. Jarvis, Thomas J. Lee, and Marie desJardins, PASSAT: User-centric planning technology. Proceedings of the Third International NASA Workshop on Planning and Scheduling for Space, Houston, Texas, October 27-29, 2002. David Wilkins and Marie desJardins, A call for knowledge-based planning. AI Magazine, vol. 22, no. 1, Winter 2001. (An earlier version of this paper appeared in the Proceedings of the Second International NASA Workshop on Planning and Scheduling for Space, San Francisco, CA, pp. 187-192, 2000.). Marie desJardins and Michael Wolverton, Hybrid planning: An approach to integrating generative and case-based planning. Proceedings of the AAAI-98 Workshop on Case-Based Reasoning Integrations (AAAI Technical Report WS-98-15). AAAI Press, 1998. Multi-Agent Systems / Distributed PlanningMarkus E. Dale and Marie desJardins, The FAME Problem Domain for Distributed Planning. Working Notes of the AAAI Fall Symposium on Regarding the ’Intelligence’ in Distributed Intelligent Systems, Arlington, VA, 2007.Brandon Wilson and Marie desJardins, Forming Stable, Overlapping Coalitions in an Open Mulit-agent System. Working Notes of the AAAI Fall Symposium on Regarding the ’Intelligence’ in Distributed Intelligent Systems, Arlington, VA, 2007. Blazej Bulka, Matthew Gaston and Marie desJardins, Local strategy learning in networked multi-agent team formation. Journal of Autonomous Agents and Multi-Agent Systems (JAAMAS), Springer 2006 (to appear). Matthew E. Gaston and Marie desJardins, Social network structures and their impact on multi-agent system dynamics. In Proceedings of the 18th International Conference of the Florida Artificial Intelligence Research Society (FLAIRS-05), Clearwater Beach, FL, May 2005. Matthew E. Gaston and Marie desJardins, Agent-organized networks for dynamic team formation. In Proceedings of the 2005 International Conference on Autonomous Agents and Multi-Agent Systems. Balaji Viswanathan and Marie desJardins, A model for large-scale team formation for a disaster rescue problem. In Working Notes of the 2nd Workshop on the Coordination of Large-Scale Multi-Agent Systems (LSMAS 2005) (held in conjunction with AAMAS-05). Utrecht, Netherlands, July 2005. Michael J. Smith and Marie desJardins, A framework for decomposing reputation in MAS into competence and integrity. In Proceedings of the 2005 International Conference on Autonomous Agents and Multiagent Systems (AAMAS-05) (poster presentation). Utrecht, Netherlands, July 2005. Matthew E. Gaston and Marie desJardins, A simple learning approach for endogenous network formation. In Working Notes of the AAAI-05 Workshop on Multiagent Learning, Pittsburgh, PA: AAAI Press, 2005. Blazej Bulka, Matthew Gaston, and Marie desJardins, Local learning to improve organizational performance in networked multiagent team formation. In Working Notes of the AAAI-05 Workshop on Multiagent Learning, Pittsburgh, PA: AAAI Press, 2005. Matthew E. Gaston and Marie desJardins, Agent-organized networks for multi-agent production and exchange. In Proceedings of the Twentieth National Conference on Artificial Intelligence (AAAI-05). AAAI Press: Pittsburgh, PA, July 2005. Michael J. Smith and Marie desJardins, A model for competence and integrity in variable payoff games. In Working Notes of the AAMAS-05 Workshop on Trust in Multiagent Systems. Utrecht, Netherlands, July 2005.. Matthew E. Gaston, John Simmons, and Marie desJardins, Adapting network structure for efficient team formation. In Working Notes of the AAAMAS-04 Workshop on Learning and Evolution in Agent-Based Systems, New york, NY, July 2004. Priyang Rathod and Marie desJardins, Stable team formation among self-interested agents. In Working Notes of the AAAI-2004 Workshop on Forming and Maintaining Coalitions in Adaptive Multiagent Systems, San Jose, CA, August 2004. Matthew Gaston and Marie desJardins, Team formation in complex networks. In Proceedings of the North American Association for Computational Science and Organizational Science (NAACSOS) Conference, Pittsburgh, PA, June 22-25, 2003. Marie desJardins, Karen Myers, David Morley, and Michael Wolverton, Research summary: Communication-sensitive decision making in multi-agent, real-time environments. AAAI Spring Symposium on Robust Autonomy, Stanford, CA, March 26-28, 2001. Charles L. Ortiz, Jr., Eric Hsu, Marie desJardins, Timothy Rauenbusch, Barbara Grosz, Osher Yadgar, and Sarit Kraus, Incremental negotiation and coalition formation for resource-bounded agents. In Working Notes of the AAAI Fall Symposium on Negotiation Methods for Autonomous Cooperative Systems, North Falmouth, MA, Nov. 2-4, 2001. Marie desJardins and Michael Wolverton, Coordinating planning activity and information flow in a distributed planning system. AI Magazine, Winter 1999, pages 45-53. (A previous version appeared in the AAAI Fall Symposium on Distributed, Continual Planning (AAAI Technical Report FS-98-??), AAAI Press, 1998). Marie E. desJardins, Edmund H. Durfee, Charles L. Ortiz, Jr., and Michael J. Wolverton, A survey of research in distributed, continual planning. AI Magazine, Winter 1999, pages 13-22. Michael Wolverton and Marie desJardins, Controlling communication in distributed planning using irrelevance reasoning. Proceedings of NCAI-98, Madison, WI. AAAI Press, 1998. Knowledge Acquisition ToolsMarie desJardins, Knowledge acquisition tools for planning systems. in Austin Tate, ed., Advanced Planning Technology: Technological Achievements of the ARPA/Rome Laboratory Planning Initiative, pp. 124-129, AAAI Press, Menlo Park, CA, 1996.Marie desJardins, Knowledge acquisition techniques for a military planning system. Proceedings of the 6th International Conference on Tools with AI, New Orleans. IEEE Computer Society Press, 1994. Marie desJardins, Knowledge development methods for planning systems. Proceedings of the AAAI Fall Symposium on Planning and Learning, New Orleans. Published as a AAAI Technical Report, 1994. Marie desJardins, Machine learning of planning knowledge for SOCAP. ARPA/Rome Laboratory Planning Initiative Workshop. Morgan Kaufmann, 1994. Scheduling and Constraint SatisfactionPriyang Rathod, Marie desJardins, and Suryakant Sansare, Interactive, incremental scheduling for Virtual Telescopes in Education. Proceedings of the Third International NASA Workshop on Planning and Scheduling for Space, Houston, Texas, October 27-29, 2002.Suryakant Sansare and Marie desJardins, Incorporating constraint checking costs in constraint satisfaction problems. Unpublished draft (2002). Susan Hoban, Marie desJardins, Nora Farrell, Priyang Rathod, Joel Sachs, Suryakant Sansare, Yelena Yesha, John Keating, Bart Busschots, Johanna Means, Gilbert Clark, Lou Mayo, and Willard Smith, Virtual Telescopes in Education. Journal of Digital Information 2(4) (Special Issue on Interactivity in Digital Libraries), May 2002. Planning ApplicationsMark H. Burstein, Richard Schantz, Marie A. Bienkowski, Marie E. desJardins, and Stephen F. Smith, The Common Prototyping Environment. IEEE Expert, February 1995, pp. 17-26.Marie A. Bienkowski and Marie E. desJardins, Planning-based integrated decision support systems. Proceedings of the Second International Conference on AI Planning Systems, pp. 196-201, Morgan Kaufmann, 1994. Roberto V. Desimone and Marie E. desJardins, The application of uncertain reasoning during battle planning. In Proceedings of the Symposium on Command and Control Research and Decision Aids, 1994. Roberto Desimone, David Wilkins, Marie Bienkowski, and Marie desJardins, SOCAP: Lessons learned in automating military operations planning. IEA/AIE-93 Sixth International Conference, Edinburgh, June, 1993. Other PublicationsEric Eaton, Gridworld Search and Rescue: A Project Framework for a Course in Artificial Intelligence. In the Proceedings of the AAAI-08 AI Education Colloquium, Chicago, IL, July 13, 2008.Yi Lu, Blazej Bulka, Marie desJardins and Stephen Freeland, Amino acid quantitative structure property relationship database: A web-based platform for quantitative investigations of amino acids. Protein Engineering, Design, and Selection, 2007. Marie desJardins, Blazej Bulka, Ryan Carr, Andrew Hunt, Priyang Rathod, and Penny Rheingans , Heuristic search and information visualization methods for school redistricting. Proceedings of the Eighteenth Conference on Innovative Applications of Artificial Intelligence (IAAI-06). Blazej Bulka, Marie desJardins, and Stephen J. Freeland, An interactive visualization tool to explore the biophysical properties of amino acids and their contribution to substitution matrices. BMC Bioinformatics 7:329, 2006. Jim Blythe, Mithila Patwardhan, Tim Oates, Marie desJardins, and Penny Rheingans, Visualization support for fusing relational, spatio-temporal data: Building career histories. In Proceedings of FUSION 2006. Marie desJardins, Eric Eaton, and Kiri Wagstaff, A context-sensitive and user-centric approach to developing personal assistants. In Working Notes of the AAAI Spring Symposium on Persistent Assistants, Palo Alto, CA, March 21-23, 2005. Marie desJardins and Kiri Wagstaff, DD-PREF: A language for expressing preferences over sets. In Proceedings of the Twentieth National conference on Artificial Intelligence (AAAI-05) (poster presentation). AAAI Press: Pittsburgh, PA, July 2005. Marie desJardins, Case study: Teaching research skills to computer science graduate students. In Proceedings of the 3rd International Conference on Education and Information Systems, Technologies and Applications (EISTA 2005), Orlando, FL, July 14-17, 2005.. Poonam Shanbhag, Penny Rheingans, and Marie desJardins, Temporal visualization of planning polygons for efficient partitioning of geo-spatial data. In Proceedings of InfoVis 2005, October 23-25, Minneapolis, Minnesota, 2005. Marie desJardins, Research directions in interactive AI. In Working Notes of the AAAI Fall Symposium on Personalized Agents, North Falmouth, MA, November 15-17, 2002. Mithun Sheshagiri and Marie desJardins, Data persistence: A design principle for hybrid robot architectures. In Proceedings of the 2002 International Conference on Knowledge-Based Computing Systems, Mumbai, India, December 2002. Marie desJardins, How to succeed in graduate school: A guide for students and advisors. Crossroads, the online ACM student magazine. Published in two parts in issues 1.2 (December 1994) and 1.3 (January 1995). Marie desJardins, Representing and reasoning with probabilistic knowledge: A Bayesian approach. Proceedings of the Ninth Conference on Uncertainty in AI, Washington, D.C. Morgan Kaufmann, 1993. |
