Biblio

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2017
Self JZ, Self N, House L, Evia JR, Leman S, North C. Bringing Interactive Visual Analytics to the Classroom for Developing EDA Skills. In: Proceedings of the 33rd Annual Consortium of Computing Sciences in Colleges (CCSC) Eastern Regional Conference. Proceedings of the 33rd Annual Consortium of Computing Sciences in Colleges (CCSC) Eastern Regional Conference. ; 2017. p. 10. ccsc_eastern_submission_final.pdf (588.97 KB)
Dowling M, Franklin L, Feng M, Pirrung M, Jasper R, Cottam J, Blaha L. 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)
Wu H, Sun M, Mi P, Ta N, North C, Ramakrishnan N. Interactive Discovery of Coordinated Relationship Chains with Maximum Entropy Models. To appear in ACM Transactions on Knowledge Discovery from Data. 2017. paper.pdf (7.13 MB)
Wenskovitch J, North C. Observation-Level Interaction with Clustering and Dimension Reduction Algorithms. In: Proceedings of the 2nd Workshop on Human-In-the-Loop Data Analytics. Proceedings of the 2nd Workshop on Human-In-the-Loop Data Analytics. New York, NY, USA; 2017. p. 14:1–14:6. Available from: http://doi.acm.org/10.1145/3077257.3077259 HILDA17_final.pdf (691.5 KB)
Franklin L, Pirrung M, Blaha L, Dowling M, Feng M. 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)
2016
Mi P, Sun M, Masiane M, Cao Y, North C. AVIST: A GPU-Centric Design for Visual Exploration of Large Multidimensional Datasets. Informatics [Internet]. 2016;3(4):18. Available from: http://www.mdpi.com/2227-9709/3/4/18 informatics-03-40018.pdf (2.09 MB)
Chen X, Self JZ, House L, North C. Be the Data: A New Approach for Immersive Analytics. In: IEEE Virtual Reality 2016 Workshop on Immersive Analytics. IEEE Virtual Reality 2016 Workshop on Immersive Analytics. ; 2016. p. 6. be_the_data_IA_final.pdf (538.3 KB)
Chen X, House L, Self JZ, Leman S, Evia JR, Fry JT, North C. Be the Data: An Embodied Experience for Data Analytics. In: 2016 Annual Meeting of the American Educational Research Association (AERA). 2016 Annual Meeting of the American Educational Research Association (AERA). ; 2016. p. 20. BeTheData_aera2016 new.pdf (996.6 KB)
Chen X, Self JZ, Sun M, House L, North C. Be the Data: Social Meetings with Visual Analytics. In: International Workshop on Visualization and Collaboration (VisualCol 2016). International Workshop on Visualization and Collaboration (VisualCol 2016). ; 2016. p. 8. cts2016-min.pdf (1.25 MB)
Sun M, Peng M, North C, Ramakrishnan N. BiSet: Semantic Edge Bundling with Biclusters for Sensemaking. Visualization and Computer Graphics, IEEE Transactions on. 2016;22(1):310-319. 07192715.pdf (2.6 MB)
Self JZ, Vinayagam RK, Fry JT, North C. Bridging the Gap between User Intention and Model Parameters for Data Analytics. In: SIGMOD 2016 Workshop on Human-In-the-Loop Data Analytics (HILDA 2016). SIGMOD 2016 Workshop on Human-In-the-Loop Data Analytics (HILDA 2016). ; 2016. p. 6. paper6.pdf (1.46 MB)
Self JZ, Hu X, House L, Leman S, North C. Designing Usable Interactive Visual Analytics Tools for Dimension Reduction. In: CHI 2016 Workshop on Human-Centered Machine Learning (HCML). CHI 2016 Workshop on Human-Centered Machine Learning (HCML). ; 2016. p. 7. Self_design_paper_final.pdf (626.44 KB)
Mi P, Sun M, Masiane M, Cao Y, North C. Interactive Graph Layout of a Million Nodes. Informatics [Internet]. 2016;3(4):23. Available from: http://www.mdpi.com/2227-9709/3/4/23 informatics-03-00023.pdf (3.13 MB)
Sun M, Mi P, Wu H, North C, Ramakrishnan N. Usability Challenges underlying Bicluster Interaction for Sensemaking. In: CHI 2016 Workshop on Human Centred Machine Learning. CHI 2016 Workshop on Human Centred Machine Learning. ; 2016. p. 6 pages. HCML2016_paper_9.pdf (529.22 KB)

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