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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.
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.  Using Categorical Information in Multidimensional Data Sets: Interactive Partition and Cluster Comparison. 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.
Seo J, Bakay M, Chen Y-W, Hilmer S, Shneiderman B, Hoffman EP.  2005.  Building a Coherent Data Pipeline in Microarray Data Analyses: Optimization of Signal/Noise Ratios Using an Interactive Visualization Tool and a Novel Noise Filtering Method (2003). Institute for Systems Research Technical Reports.
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, 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.
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.  2003.  TRIM: A tool for triggered message sequence charts. Computer Aided Verification. :106-109.
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.
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.  2010.  Read-once functions and query evaluation in probabilistic databases. Proc. VLDB Endow.. 3(1-2):1068-1079.
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, Deshpande A, Getoor L.  2009.  PrDB: managing and exploiting rich correlations in probabilistic databases. The VLDB Journal. 18(5):1065-1090.
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 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, 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.

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