Biblio

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2018
Dowling M, Wenskovitch J, Fry JT, Leman S, House L, North C. 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)
Reach C, North C. Smooth, Efficient, and Interruptible Zooming and Panning. IEEE Transactions on Visualization & Computer Graphics . 2018. 1801.09358.pdf (1.26 MB)
Wenskovitch J, Crandell I, Ramakrishnan N, House L, Leman S, North C. Towards a Systematic Combination of Dimension Reduction and Clustering in Visual Analytics. IEEE Transactions on Visualization and Computer Graphics. 2018;24:131-141. systematic-combination-dimension.pdf (6 MB)
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)
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)
Dash S, Verma A, North C, Feng W-chun. Portable Parallel Design of Weighted Multi-Dimensional Scaling for Real-Time Data Analysis. In: 2017 IEEE 19th International Conference on High Performance Computing and Communications. 2017 IEEE 19th International Conference on High Performance Computing and Communications. ; 2017. p. . dash-claret-hpcc17.pdf (445.55 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)
2015
Self JZ, House L, Leman S, North C. Andromeda: Observation-Level and Parametric Interaction for Exploratory Data Analysis. Blacksburg; 2015 p. . jzself-tech-report.pdf (2.5 MB)
Reach C, North C. Bandlimited OLAP cubes for interactive big data visualization. In: Large Data Analysis and Visualization (LDAV), 2015 IEEE 5th Symposium on. Large Data Analysis and Visualization (LDAV), 2015 IEEE 5th Symposium on. Chicago, IL, USA; 2015. p. 107-114. 07348078.pdf (1.62 MB)
Bradel L, Wycoff N, House L, North C. Big Text Visual Analytics in Sensemaking. In: IEEE International Symposium on Big Data Visual Analytics. IEEE International Symposium on Big Data Visual Analytics. ; 2015. p. 8 pages. BDVA_bingspire_v5c.pdf (3.34 MB)
Self JZ, Self N, House L, Evia JR, Leman S, North C. Bringing Interactive Visual Analytics to the Classroom for Developing EDA Skills. Blacksburg; 2015 p. . cog_dim_tech_report.pdf (1.11 MB)
Self JZ, Hu X, House L, Leman S, North C. Designing for Interactive Dimension Reduction Visual Analytics Tools to Explore High-Dimensional Data. Blacksburg; 2015 p. . jzself_vast2015_tech_report.pdf (3.65 MB)
Chung H, North C, Joshi S, Chen J. Four considerations for supporting visual analysis in display ecologies. In: Visual Analytics Science and Technology (VAST), 2015 IEEE Conference on. Visual Analytics Science and Technology (VAST), 2015 IEEE Conference on. Chicago, IL, USA; 2015. p. 33-40. 07347628.pdf (743.68 KB)
Endert A, Chang R, North C, Zhou M. Semantic Interaction: Coupling Cognition and Computation through Usable Interactive Analytics. IEEE Computer Graphics and Applications. 2015;(July/August):6-11. endert-2015-viewpoints.pdf (191.14 KB)
Zhang H, Sun M, Yao D, North C. Visualizing Traffic Causality for Analyzing Network Anomalies. In: Proceedings of the 2015 ACM International Workshop on Security and Privacy Analytics. Proceedings of the 2015 ACM International Workshop on Security and Privacy Analytics. New York, NY, USA; 2015. p. 37–42. Available from: http://doi.acm.org/10.1145/2713579.2713583 paper.pdf (1.51 MB)

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