Publications

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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 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.  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.
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.
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, 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 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.  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.  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, 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.  Cost-sensitive learning with conditional Markov networks. Proceedings of the 23rd international conference on Machine learning. :801-808.

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