Publications

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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, Deshpande A, Getoor L.  2009.  Bisimulation-based approximate lifted inference. Proceedings of the Twenty-Fifth Conference on Uncertainty in Artificial Intelligence. :496-505.
Sen P, Deshpande A, Getoor L.  2008.  Exploiting shared correlations in probabilistic databases. Proceedings of the VLDB Endowment. 1(1):809-820.
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, Getoor L.  2006.  Cost-sensitive learning with conditional Markov networks. Proceedings of the 23rd international conference on Machine learning. :801-808.
Sen P, Deshpande A, Getoor L.  2009.  P r DB: 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.  Executable requirements specifications using triggered message sequence charts. Distributed Computing and Internet Technology. :482-493.
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.
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, Shneiderman B.  2005.  A Rank-by-Feature Framework for Interactive Exploration of Multidimensional Data (2004). Institute for Systems Research Technical Reports.
Seo J, Shneiderman B.  2003.  Understanding Hierarchical Clustering Results by Interactive Exploration of Dendrograms: A Case Study with Genomic Microarray Data. Technical Reports from UMIACS.
Seo J, Shneiderman B.  2005.  A Knowledge Integration Framework for Information Visualization (2004). Institute for Systems Research Technical Reports.
Seo J, Shneiderman B.  2002.  Interactively exploring hierarchical clustering results [gene identification]. Computer. 35(7):80-86.
Seo J, Shneiderman B.  2005.  A Rank-by-Feature Framework for Interactive Exploration of Multidimensional Data. Information VisualizationInformation Visualization. 4(2):96-113.
Seo W, Agrawal M, Doermann D.  2010.  Performance Evaluation Tools for Zone Segmentation and Classification (PETS). International Conference on Pattern Recognition. :503-506.
Seo J, Shneiderman B.  2006.  Knowledge discovery in high-dimensional data: case studies and a user survey for the rank-by-feature framework. IEEE Transactions on Visualization and Computer Graphics. 12(3):311-322.
Seo J, Bakay M, Zhao P, Chen YW, Clarkson P, Shneiderman B, Hoffman EP.  2003.  Interactive color mosaic and dendrogram displays for signal/noise optimization in microarray data analysis. Multimedia and Expo, 2003. ICME'03. Proceedings. 2003 International Conference on. 3:III–461-III–461.
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.
Seo J, Shneiderman B.  2009.  Multidimensional Analysis and Visualization on Large Biomedical Data. Statistical Bioinformatics. :157-184.
Seo J, Shneiderman B.  2005.  Understanding Clusters in Multidimensional Spaces: Making Meaning by Combining Insights from Coordinated Views of Domain Knowledge (2004). Institute for Systems Research Technical Reports.
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.

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