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Results for: Scotland C. Leman

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Towards a Systematic Combination of Dimension Reduction and Clustering in Visual Analytics
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A System to Automatically Classify and Name Any Individual Genome-Sequenced Organism Independently of Current Biological Classification and Nomenclature
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Visual to Parametric Interaction (V2PI)
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Be the Data: Embodied Visual Analytics
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Model-Based Forecasting of Significant Societal Events
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Bayesian Model Fusion for Forecasting Civil Unrest
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Improving Mr. Myagi’s Coaching Style: Teaching Data Analytics with Interactive Data Visualizations
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Observationlevel Interaction with Statistical Models for Visual Analytics
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Bayesian Visual Analytics: BaVA
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Observation-Level and Parametric Interaction for High-Dimensional Data Analysis
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Generalized biplots for stress-based multidimensionally scaled projections
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Interactive Visual Analytics for Sensemaking with Big Text
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SIRIUS: Dual, Symmetric, Interactive Dimension Reductions
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Social Media Use, Political Polarization, and Social Capital: Is Social Media Tearing the U.S. Apart?
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Data scientists combat hate crimes and other violence , article
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Scotland Leman receives W.J. Youden Award , article
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DAC Director Naren Ramakrishnan named Inventor of the Month , article
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NSF funds UrbComp, program focused on big data and urbanization , article
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Visual Analytics Team Awarded $1 Million NSF Grant , article
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DAC faculty and students share research, organize workshop at 2018 IEEE VIS Conference in Berlin , article
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Scotland C. Leman , bio