Publications

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Seo J, Shneiderman B.  2005.  A Knowledge Integration Framework for Information Visualization (2004). Institute for Systems Research Technical Reports.
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 Rank-by-Feature Framework for Interactive Exploration of Multidimensional Data. Information VisualizationInformation Visualization. 4(2):96-113.
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.
Seo J, Shneiderman B.  2005.  Using Categorical Information in Multidimensional Data Sets: Interactive Partition and Cluster Comparison. 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.
Seo J, Bakay M, Zhao P, Chen Y-W, Clarkson P, Shneiderman B, Hoffman EP.  2005.  Interactive Color Mosaic and Dendogram Displays for Signal/Noise Optimization in Microarray Data Analysis (2003). Institute for Systems Research Technical Reports.
Seo J, Shneiderman B.  2005.  Interactive Exploration of Multidimensional Microarray Data: Scatterplot Ordering, Gene Ontology Browser, and Profile Search (2003). Institute for Systems Research Technical Reports.
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.
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.
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.  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.  2008.  Exploiting shared correlations in probabilistic databases. Proceedings of the VLDB Endowment. 1(1):809-820.
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, 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.
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 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.

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