Publications
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2006. Cost-sensitive learning with conditional Markov networks. Proceedings of the 23rd international conference on Machine learning. :801-808.
2004. Systematic exploitation of data parallelism in hardware synthesis of DSP applications. Acoustics, Speech, and Signal Processing, 2004. Proceedings. (ICASSP '04). IEEE International Conference on. 5:V-229-32vol.5-V-229-32vol.5.
2009. P r DB: managing and exploiting rich correlations in probabilistic databases. The VLDB Journal. 18(5):1065-1090.
2007. Dataflow-based mapping of computer vision algorithms onto FPGAs. EURASIP Journal on Embedded Systems. 2007(1):29-29.
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.
2010. Read-once functions and query evaluation in probabilistic databases. Proc. VLDB Endow.. 3(1-2):1068-1079.
2003. Towards formal but flexible scenarios. 2nd International Workshop on Scenarios and State Machines: Models, Algorithms and Tools.
2005. Executable requirements specifications using triggered message sequence charts. Distributed Computing and Internet Technology. :482-493.
2005. An integrated framework for scenarios and state machines. Integrated Formal Methods. :366-385.
2012. Conversion of viable but nonculturable enteric bacteria to culturable by co‐culture with eukaryotic cells. Microbiology and Immunology. 56(5):342-345.
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.
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.
2005. A Rank-by-Feature Framework for Interactive Exploration of Multidimensional Data (2004). Institute for Systems Research Technical Reports.
2003. Understanding Hierarchical Clustering Results by Interactive Exploration of Dendrograms: A Case Study with Genomic Microarray Data. Technical Reports from UMIACS.
2002. Interactively exploring hierarchical clustering results [gene identification]. Computer. 35(7):80-86.
2005. A Knowledge Integration Framework for Information Visualization (2004). Institute for Systems Research Technical Reports.
2005. A Rank-by-Feature Framework for Interactive Exploration of Multidimensional Data. Information VisualizationInformation Visualization. 4(2):96-113.
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.
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.
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.
2009. Multidimensional Analysis and Visualization on Large Biomedical Data. Statistical Bioinformatics. :157-184.
2005. Understanding Clusters in Multidimensional Spaces: Making Meaning by Combining Insights from Coordinated Views of Domain Knowledge (2004). Institute for Systems Research Technical Reports.
2005. Knowledge Discovery in High Dimensional Data: Case Studies and a User Survey for an Information Visualization Tool. Institute for Systems Research Technical Reports.