Publications

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Templeton TC, Fleischmann KR, Boyd-Graber J.  2011.  Simulating Audiences: Automating Analysis of Values, Attitudes, and Sentiment. Privacy, Security, Risk and Trust (PASSAT), 2011 IEEE Third International Conference on and 2011 IEEE Third International Confernece on Social Computing (SocialCom). :734-737.
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Fleischmann KR, Templeton T C, Boyd-Graber J.  2011.  Modeling diverse standpoints in text classification: learning to be human by modeling human values. Proceedings of the 2011 iConference. :672-673.
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Narayanan A, Elaine Shi, Rubinstein BIP.  2011.  Link prediction by de-anonymization: How We Won the Kaggle Social Network Challenge. :1825-1834.
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.
Getoor L, Mihalkova L.  2011.  Learning statistical models from relational data. Proceedings of the 2011 international conference on Management of data. :1195-1198.
Selby RW, Porter A.  1988.  Learning from examples: generation and evaluation of decision trees for software resource analysis. IEEE Transactions on Software Engineering. 14(12):1743-1757.
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Getoor L.  2007.  Introduction to Statistical Relational Learning.
Li Y, Long PM, Srinivasan A.  2001.  Improved Bounds on the Sample Complexity of Learning. Journal of Computer and System Sciences. 62(3):516-527.
Grasso MA, Mokashi R, Dalvi D, Cardone A, Dima AA, Bhadriraju K, Plant AL, Brady M, Yesha Y, Yesha Y.  2010.  Image classification of vascular smooth muscle cells. Proceedings of the 1st ACM International Health Informatics Symposium. :484-486.
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Brefeld U, Getoor L, Macskassy SA.  2011.  Eighth workshop on mining and learning with graphs. SIGKDD Explor. Newsl.. 12(2):63-65.
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Auer P, Long PM, Srinivasan A.  1997.  Approximating hyper-rectangles: learning and pseudo-random sets. Proceedings of the twenty-ninth annual ACM symposium on Theory of computing. :314-323.