Biblio
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With Respect to What? Simultaneous Interaction with Dimension Reduction and Clustering Projections. In: Proceedings of the 25th International Conference on Intelligent User Interfaces. Proceedings of the 25th International Conference on Intelligent User Interfaces. New York, NY, USA; 2020. p. 177–188. Available from: https://doi.org/10.1145/3377325.3377516
With_Respect_to_What_.pdf (672.1 KB)
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Toward a visualization-supported workflow for cyber alert management using threat models and human-centered design. In: 2017 IEEE Symposium on Visualization for Cyber Security (VizSec). 2017 IEEE Symposium on Visualization for Cyber Security (VizSec). Phoenix, AZ; 2017. p. 1-8.
Franklin et al Toward a Visualization-Supported Workflow for Cyber Alert Management.pdf (250.01 KB)
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SIRIUS: Dual, Symmetric, Interactive Dimension Reductions. In: 2018 IEEE Conference on Visual Analytics Science and Technology (VAST). 2018 IEEE Conference on Visual Analytics Science and Technology (VAST). ; 2018. p. .
SIRIUS 2018 v3 preprint sm.pdf (470.59 KB)
SIRIUS 2018 Comparisions v3 preprint.pdf (87.44 KB)
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Simultaneous Interaction with Dimension Reduction and Clustering Projections. In: Proceedings of the 24th International Conference on Intelligent User Interfaces: Companion. Proceedings of the 24th International Conference on Intelligent User Interfaces: Companion. New York, NY, USA; 2019. p. 89–90. Available from: http://doi.acm.org/10.1145/3308557.3308718
p89-wenskovitch.pdf (478.5 KB)
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Observation-Level and Parametric Interaction for High-Dimensional Data Analysis. ACM Transactions on Interactive Intelligent Systems. 2018;8(2).
observation-level-parametric_first_look_version.pdf (1.82 MB)
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NetReAct: Interactive Learning for Network Summarization. In: NeurIPS 2020 Workshop on Human and Model in the Loop Evaluation and Training Strategies (HAMLETS). NeurIPS 2020 Workshop on Human and Model in the Loop Evaluation and Training Strategies (HAMLETS). ; 2020. p. .
NetReact_NeuripsWorkshop (1).pdf (584.12 KB)
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Machine Learning from User Interaction for Visualization and Analytics: A Workshop-Generated Research Agenda. In: Proceedings of the IEEE VIS Workshop MLUI 2019: Machine Learning from User Interactions for Visualization and Analytics. VIS’19. Proceedings of the IEEE VIS Workshop MLUI 2019: Machine Learning from User Interactions for Visualization and Analytics. VIS’19. ; 2019. p. .
MLUI_Long_Paper.pdf (5.22 MB)
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Interactive Visual Analytics for Sensemaking with Big Text. Big Data Research [Internet]. 2019;16:49 - 58. Available from: http://www.sciencedirect.com/science/article/pii/S2214579618302995
1-s2.0-S2214579618302995-main.pdf (1.32 MB)
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Exploring the Design Space for Cyber Alerts in Context. 2017.
Dowling etal 2017 Exploring the Design Space for Cyber Alerts in Context.pdf (163.5 KB)
VizSec Poster.pdf (2.69 MB)
Dowling etal VizSec 2017 Poster FF Slide.pdf (696.43 KB)
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Evaluating Semantic Interaction on Word Embeddings via Simulation. In: EValuation of Interactive VisuAl Machine Learning systems, an IEEE VIS 2019 Workshop. EValuation of Interactive VisuAl Machine Learning systems, an IEEE VIS 2019 Workshop. ; 2019. p. .
sub1013.pdf (786.6 KB)
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The Effect of Semantic Interaction on Foraging in Text Analysis. In: 2018 IEEE Conference on Visual Analytics Science and Technology (VAST). 2018 IEEE Conference on Visual Analytics Science and Technology (VAST). ; 2018. p. .
effect-semantic-interaction.pdf (1.43 MB)
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Construction and Usage of the Semantic Interaction Pipeline. 2018:1-29.
construction-usage-semantic.pdf (4.5 MB)
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The Cognitive and Computational Benefits and Limitations of Clustering for Sensemaking. In: CHI '18 Workshop on Sensemaking in a Senseless World. CHI '18 Workshop on Sensemaking in a Senseless World. Montreal, QC, Canada; 2018. p. .
cognitive-computational-benefits.pdf (374.93 KB)
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A Bidirectional Pipeline for Semantic Interaction. In: VIS Workshop on Machine Learning from User Interaction for Visualization and Analytics. VIS Workshop on Machine Learning from User Interaction for Visualization and Analytics. ; 2018. p. .
Pipeline.pdf (5.02 MB)
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