Publications

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Journal Articles
Getoor L.  2003.  Link mining: a new data mining challenge. ACM SIGKDD Explorations Newsletter. 5(1):84-89.
Zhou X, Garcia-Romero D, Duraiswami R, Espy-Wilson C, Shamma S.  2011.  Linear versus Mel Frequency Cepstral Coefficients for Speaker Recognition. IEEE Automatic Speech Recognition and Understanding Workshop.
Groce A, Katz J, Yerukhimovich A.  2011.  Limits of computational differential privacy in the client/server setting. Theory of Cryptography. :417-431.
Rose A, Ellis J, Plaisant C, Greene S.  1998.  Life cycle of user interface techniques: The DJJ information system design Process. Technical Reports of the Computer Science Department.
Jain A, Gupta A, Davis LS.  2010.  Learning what and how of contextual models for scene labeling. Computer Vision–ECCV 2010. :199-212.
Mihalkova L, Moustafa W, Getoor L.  2011.  Learning to predict web collaborations. Workshop on User Modeling for Web Applications (UMWA-11).
Ahmed Syed N, Feamster N, Gray A.  2008.  Learning To Predict Bad Behavior. NIPS 2007 Workshop on Machine Learning in Adversarial Environments for Computer Security.
Sato T, Kameya Y, De Raedt L, Dietterich T, Getoor L, Muggleton SH.  2006.  Learning through failure. Probabilistic, Logical and Relational Learning-Towards a Synthesis. (05051)
Getoor L, Friedman N, Koller D.  2002.  Learning structured statistical models from relational data. Linköping Electronic Articles in Computer and Information Science. 7:13-13.
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.  2003.  Learning Structure From Statistical Models. IEEE Data Engineering Bulletin. 26(3):11-18.
Gruser JR, Raschid L, Zadorozhny V, Zhan T.  2000.  Learning response time for websources using query feedback and application in query optimization. The VLDB Journal—The International Journal on Very Large Data Bases. 9(1):18-37.
Getoor L.  2000.  Learning probabilistic relational models. Abstraction, Reformulation, and Approximation. :322-323.
Friedman N, Getoor L, Koller D, Pfeffer A.  1999.  Learning probabilistic relational models. International Joint Conference on Artificial Intelligence. 16:1300-1309.
Getoor L, Friedman N, Koller D, Taskar B.  2001.  Learning probabilistic models of relational structure. MACHINE LEARNING-INTERNATIONAL WORKSHOP. :170-177.
Gopalan R, Hong T, Shneier M, Chellappa R.  2010.  A Learning Approach Towards Detection and Tracking of Lane Markings. IEEE Transactions on Intelligent Transportation Systems. PP(99):1-12.
Doppa J, Yu J, Tadepalli P, Getoor L.  2010.  Learning algorithms for link prediction based on chance constraints. Machine Learning and Knowledge Discovery in Databases. :344-360.
Grundstrom EL, Reggia JA.  1996.  Learning Activation Rules Rather Than Connection Weights. International journal of neural systems. 7(2):129-148.
Bhattacharya I, Getoor L.  2006.  A latent dirichlet allocation model for entity resolution. 6th SIAM Conference on Data Mining (SDM), Bethesda, USA.
Guerra-Filho G, Aloimonos Y.  2007.  A Language for Human Action. Computer. 40(5):42-51.
Haley BJ, Chen A, Grim CJ, Clark P, Diaz CM, Taviani E, Hasan NA, Sancomb E, Elnemr WM, Islam MA et al..  2012.  Vibrio cholerae in a historically cholera-free country. Environmental Microbiology Reports. (4):381-389.
Elman H, Golub GH.  1990.  Iterative methods for cyclically reduced non-self-adjoint linear systems. Math. Comp. 54(190):671-700.
Elman H, Golub GH.  1991.  Iterative methods for cyclically reduced non-self-adjoint linear systems II. Math. Comp. 56(193):215-242.
Nath S, Deshpande A, Ke Y, Gibbons P, Karp B, Seshan S.  2002.  Irisnet: An architecture for compute-intensive wide-area sensor network services. Intel Corporation, Pittsburgh IRPTR-02. 10
Deshpande A, Nath S, Gibbons PB, Seshan S.  2003.  IRIS: Internet-scale Resource-Intensive Sensor Services. Intel Research, UC Berkeley, Carnegie Mellon University.

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