Biblio

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C
Machaj D, Andrews C, North C. Co-located Many-Player Gaming on Large High-Resolution Displays. In: Computational Science and Engineering, 2009. CSE '09. International Conference on. Vol. 4. Computational Science and Engineering, 2009. CSE '09. International Conference on. ; 2009. p. 697 -704. PDF (525.04 KB)
Vogt K, Bradel L, Andrews C, North C, Endert A, Hutchings D. Co-located Collaborative Sensemaking on a Large High-Resolution Display with Multiple Input Devices. In: INTERACT 2011. Vol. 6947. INTERACT 2011. Lisbon, Portugal; 2011. p. 589 - 604. PDF (656.32 KB)
Wenskovitch J, Dowling M, North C. 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)
Boukhelifa N, Bezarianos A, et al. Challenges in Evaluating Interactive Visual Machine Learning Systems. IEEE Computer Graphics and Applications. 2020;40(6):88-96.
Endert A, Fiaux P, Chung H, Stewart M, Andrews C, North C. ChairMouse: leveraging natural chair rotation for cursor navigation on large, high-resolution displays. In: Proceedings of the 2011 annual conference extended abstracts on Human factors in computing systems. Proceedings of the 2011 annual conference extended abstracts on Human factors in computing systems. New York, NY, USA; 2011. p. 571–580. Available from: http://doi.acm.org/10.1145/1979742.1979628 p571-endert.pdf (774.47 KB)
Liu H, North C. Case Study Comparison of Computational Notebook Platforms for Interactive Visual Analytics. In: Proceedings of Symposium on Visualization in Data Science (VDS). Proceedings of Symposium on Visualization in Data Science (VDS). ; 2022. p. . An_Exploration_of_Interactive_Visualization_in_Computational_Notebooks.pdf (1.88 MB)
B
North C, Korn F. Browsing anatomical image databases: a case study of the visible human. In: CHI '96: Conference companion on Human factors in computing systems. CHI '96: Conference companion on Human factors in computing systems. New York, NY, USA; 1996. p. 414–415.
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)
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)
Fink G, Duggirala V, Correa R, North C. Bridging the host-network divide: survey, taxonomy, and solution. In: LISA '06: Proceedings of the 20th conference on Large Installation System Administration. LISA '06: Proceedings of the 20th conference on Large Installation System Administration. Berkeley, CA, USA; 2006. p. 20–20. PDF (958.82 KB)
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)
Wang M, Wenskovitch J, House L, Polys N, North C. Bridging cognitive gaps between user and model in interactive dimension reduction. Visual Informatics. 2021;53(2):13-25.
Prabhakar S, Conklin N, North C, Thirunavukkarasu M, Dandapani A, Panchanathan G. Breakdown visualization: multiple foci polyarchies of values and attributes. In: CHI '02: CHI '02 extended abstracts on Human factors in computing systems. CHI '02: CHI '02 extended abstracts on Human factors in computing systems. New York, NY, USA; 2002. p. 800–801.
Fiaux P, Sun M, Bradel L, North C, Ramakrishnan N, Endert A. Bixplorer: Visual Analytics with Biclusters. Computer. 2013;46(8):90 - 94. bixplorer.pdf (1.55 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)
North C, Rhyne TM, Duca K. Bioinformatics visualization: introduction to the special issue. Information Visualization. 2005;4:147–148. PDF (16.71 KB)
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)
Dowling M, Wenskovitch J, Hauck P, Binford A, Polys N, North C. 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)
Yost B, Haciahmetoglu Y, North C. Beyond visual acuity: the perceptual scalability of information visualizations for large displays. In: CHI '07: Proceedings of the SIGCHI conference on Human factors in computing systems. CHI '07: Proceedings of the SIGCHI conference on Human factors in computing systems. New York, NY, USA; 2007. p. 101–110. PDF (1.11 MB)
Endert A, Bradel L, North C. Beyond Control Panels: Direct Manipulation for Visual Analytics. IEEE Computer Graphics and Applications. 2013;33(4):6 - 13. direct_manipulation_VA.pdf (3.87 MB)
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)
Chen X, Self JZ, House L, Wenskovitch J, Sun M, Wycoff N, Evia JR, Leman S, North C. Be the Data: Embodied Visual Analytics. IEEE Transactions on Learning Technologies. 2018;11(1):81-95. data-embodied-visual.pdf (6.31 MB)
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, 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)
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)

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