Publications

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Sen P, Getoor L.  2006.  Cost-sensitive learning with conditional Markov networks. Proceedings of the 23rd international conference on Machine learning. :801-808.
Sen M, Hemaraj Y, Bhattacharyya SS, Shekhar R.  2006.  Reconfigurable image registration on FPGA platforms. Biomedical Circuits and Systems Conference, 2006. BioCAS 2006. IEEE. :154-157.
Sen P, Deshpande A, Getoor L.  2008.  Exploiting shared correlations in probabilistic databases. Proceedings of the VLDB Endowment. 1(1):809-820.
Sen P, Getoor L.  2007.  Link-based Classification. UMIACS-TR-2007-11
Sen P, Deshpande A, Getoor L.  2009.  Bisimulation-based approximate lifted inference. Proceedings of the Twenty-Fifth Conference on Uncertainty in Artificial Intelligence. :496-505.
Sen M, Corretjer I, Haim F, Saha S, Schlessman J, Lv T, Bhattacharyya SS, Wolf W.  2007.  Dataflow-based mapping of computer vision algorithms onto FPGAs. EURASIP Journal on Embedded Systems. 2007(1):29-29.
Sen M, Corretjer I, Haim F, Saha S, Bhattacharyya SS, Schlessman J, Wolf W.  2005.  Computer vision on FPGAs: Design methodology and its application to gesture recognition. Computer Vision and Pattern Recognition-Workshops, 2005. CVPR Workshops. IEEE Computer Society Conference on. :133-133.
Sen P, Deshpande A, Getoor L.  2007.  Representing Tuple and Attribute Uncertainty in Probabilistic Databases. Seventh IEEE International Conference on Data Mining Workshops, 2007. ICDM Workshops 2007. :507-512.
Sen P, Namata G, Bilgic M, Getoor L, Galligher B, Eliassi-Rad T.  2008.  Collective Classification in Network Data. AI Magazine. 29(3):93-93.
Sen P, Deshpande A, Getoor L.  2010.  Read-once functions and query evaluation in probabilistic databases. Proc. VLDB Endow.. 3(1-2):1068-1079.
Sen M, Bhattacharyya SS, Lv T, Wolf W.  2005.  Modeling image processing systems with homogeneous parameterized dataflow graphs. Acoustics, Speech, and Signal Processing, 2005. Proceedings. (ICASSP '05). IEEE International Conference on. 5:v/133-v/136Vol.5-v/133-v/136Vol.5.
Sen P, Getoor L.  2006.  Empirical comparison of approximate inference algorithms for networked data. Open Problems in Statistical Relational Learning: Papers from the ICML Workshop. Pittsburgh, PA: www. cs. umd. edu/projects/srl2006.
Sen P, Deshpande A.  2007.  Representing and Querying Correlated Tuples in Probabilistic Databases. Data Engineering, 2007. ICDE 2007. IEEE 23rd International Conference on. :596-605.
Sen P, Deshpande A, Getoor L.  2009.  PrDB: managing and exploiting rich correlations in probabilistic databases. The VLDB Journal. 18(5):1065-1090.
Sengupta B, Cleaveland R.  2002.  Triggered message sequence charts. ACM SIGSOFT Software Engineering Notes. 27:167-167.
Sengupta B, Cleaveland R.  2003.  Towards formal but flexible scenarios. 2nd International Workshop on Scenarios and State Machines: Models, Algorithms and Tools.
Sengupta B, Cleaveland R.  2005.  An integrated framework for scenarios and state machines. Integrated Formal Methods. :366-385.
Sengupta B, Cleaveland R.  2003.  TRIM: A tool for triggered message sequence charts. Computer Aided Verification. :106-109.
Sengupta B, Cleaveland R.  2005.  Executable requirements specifications using triggered message sequence charts. Distributed Computing and Internet Technology. :482-493.
Senoh M, Ghosh‐Banerjee J, Ramamurthy T, Colwell RR, Miyoshi S-ichi, Nair BG, Takeda Y.  2012.  Conversion of viable but nonculturable enteric bacteria to culturable by co‐culture with eukaryotic cells. Microbiology and Immunology. 56(5):342-345.
Senoh M, Ghosh‐Banerjee J, Ramamurthy T, Hamabata T, Kurakawa T, Takeda M, Colwell RR, Nair BG, Takeda Y.  2010.  Conversion of viable but nonculturable Vibrio cholerae to the culturable state by co‐culture with eukaryotic cells. Microbiology and Immunology. 54(9):502-507.
Seo J, Bakay M, Chen Y-W, Hilmer S, Shneiderman B, Hoffman EP.  2004.  Interactively Optimizing Signal-to-Noise Ratios in Expression Profiling: Project-Specific Algorithm Selection and Detection P-Value Weighting in Affymetrix Microarrays. BioinformaticsBioinformatics. 20(16):2534-2544.
Seo J, Shneiderman B.  2004.  A Rank-by-Feature Framework for Unsupervised Multidimensional Data Exploration Using Low Dimensional Projections. IEEE Symposium on Information Visualization, 2004. INFOVIS 2004. :65-72.
Seo J, Shneiderman B.  2005.  Knowledge Discovery in High Dimensional Data: Case Studies and a User Survey for an Information Visualization Tool. Institute for Systems Research Technical Reports.
Seo J, Shneiderman B.  2005.  A Knowledge Integration Framework for Information Visualization. From Integrated Publication and Information Systems to Information and Knowledge EnvironmentsFrom Integrated Publication and Information Systems to Information and Knowledge Environments. 3379:207-220.

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