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desJardins M, Rheingans P.  1999.  Visualization of high-dimensional model characteristics. Proceedings of the 1999 workshop on new paradigms in information visualization and manipulation in conjunction with the eighth ACM internation conference on Information and knowledge management. :6-8.
desJardins M, Bulka B, Carr R, Jordan E, Rheingans P.  2007.  Heuristic Search and Information Visualization Methods for School Redistricting. AI Magazine. 28(3):59-59.
desJardins M, Rathod P, Getoor L.  2005.  Bayesian network learning with abstraction hierarchies and context-specific independence. Machine Learning: ECML 2005. :485-496.
desJardins M, Eaton E, Wagstaff KL.  2006.  Learning user preferences for sets of objects. Proceedings of the 23rd international conference on Machine learning. :273-280.
desJardins M, Wolverton M.  1999.  Coordinating a Distributed Planning System. AI Magazine. 20(4):45-45.
desJardins M.  1995.  How to succeed in graduate school: a guide for students and advisors: part II of II. Crossroads. 1(3):1-6.
desJardins M, Bulka B, Carr R, Hunt A, Rathod P, Rheingans P.  2006.  Heuristic search and information visualization methods for school redistricting. Proceedings of the 18th conference on Innovative applications of artificial intelligence - Volume 2. :1774-1781.
desJardins M, Rathod P, Getoor L.  2008.  LEARNING STRUCTURED BAYESIAN NETWORKS: COMBINING ABSTRACTION HIERARCHIES AND TREE‐STRUCTURED CONDITIONAL PROBABILITY TABLES. Computational Intelligence. 24(1):1-22.
desJardins M, MacGlashan J, Wagstaff KL.  2010.  Confidence-based feature acquisition to minimize training and test costs. Proceedings of the SIAM Conference on Data Mining. 76(373):514-524.
desJardins M.  1994.  How to succeed in graduate school: a guide for students and advisors: part I of II. Crossroads. 1(2):3-9.
desJardins M.  1994.  Evaluation of learning biases using probabilistic domain knowledge. Proceedings of the workshop on Computational learning theory and natural learning systems (vol. 2) : intersections between theory and experiment: intersections between theory and experiment. :97-112.
desJardins M.  1994.  Knowledge acquisition techniques for a military planning system. Tools with Artificial Intelligence, 1994. Proceedings., Sixth International Conference on. :454-460.
desJardins M, Littman M.  2010.  Broadening student enthusiasm for computer science with a great insights course. Proceedings of the 41st ACM technical symposium on Computer science education. :157-161.
desJardins M.  1995.  How to succeed in graduate school: A guide for students and advisors. International Amateur-Professional Photoelectric Photometry Communications. 58:15-15.
desJardins M, Ciavolino A, Deloatch R, Feasley E.  2011.  Playing to Program: Towards an Intelligent Programming Tutor for RUR-PLE. Second AAAI Symposium on Educational Advances in Artificial Intelligence.
desJardins M, Sahami M, Wagstaff K.  2011.  EAAI-10: The First Symposium on Educational Advances in Artificial Intelligence. AI Magazine. 32(1):91-91.
Desimone R, Wilkins DE, Bienkowski M, desJardins M.  1993.  SOCAP: lessons learned in automating military operations planning. Proceedings of the 6th international conference on Industrial and engineering applications of artificial intelligence and expert systems. :384-393.
Deshpande A, Huang R, Raman V, Riggs T, Song D, Subramanian L.  1999.  A Study of the Structure of the Web. University of California, Berkeley.
Deshpande A, Getoor L, Sen P.  2009.  Graphical models for uncertain data. Managing and Mining Uncertain Data. :77-77.
Deshpande A, Hellerstein J.  2002.  On using correlation-based synopses during query optimization. Computer Science Division (EECS), University of California Berkeley.
Deshpande A, Nath S, Gibbons PB, Seshan S.  2003.  Cache-and-query for wide area sensor databases. Proceedings of the 2003 ACM SIGMOD international conference on Management of data. :503-514.
Deshpande A, Nath S, Gibbons PB, Seshan S.  2003.  IRIS: Internet-scale Resource-Intensive Sensor Services. Intel Research, UC Berkeley, Carnegie Mellon University.
Deshpande A, Garofalakis MN, Jordan MI.  2001.  Efficient stepwise selection in decomposable models. Proc. UAI. :128-135.
Deshpande A, Hellerstein L.  2008.  Flow Algorithms for Parallel Query Optimization. IEEE 24th International Conference on Data Engineering, 2008. ICDE 2008. :754-763.
Deshpande A, Guestrin C, Madden SR, Hellerstein JM, Hong W.  2004.  Model-driven data acquisition in sensor networks. Proceedings of the Thirtieth international conference on Very large data bases - Volume 30. :588-599.

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