Biblio

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2020
Manzoor H, Naik A, Shaffer CA, North C, Edwards SH. Auto-Grading Jupyter Notebooks. In: SIGCSE 2020. SIGCSE 2020. ; 2020. p. . Auto_Grading_Jupyter_Notebooks.pdf (735.01 KB)
Li T, Belghith Y, North C, Luther K. CrowdTrace: Visualizing Provenance in Distributed Sensemaking. In: IEEE VIS Short Papers. IEEE VIS Short Papers. ; 2020. p. 5 pages. CrowdTrace_VIS_Short_Paper_Submission-3.pdf (738.58 KB)
Lisle L, Chen X, Gitre EJK, North C, Bowman DA. Evaluating the Benefits of the Immersive Space to Think. In: IEEE 6th Workshop on Everyday Virtual Reality (WEVR). IEEE 6th Workshop on Everyday Virtual Reality (WEVR). ; 2020. p. . WEVR2020_Lisle.pdf (4.23 MB)
Wenskovitch J, North C. An Examination of Grouping and Spatial Organization Tasks for High-Dimensional Data Exploration. IEEE Transactions on Visualization and Computer Graphics. 2020:11 pages. Cognitive_Study_VIS_Paper-2.pdf (4 MB)
Bandyopadhyay P, Lisle L, North C, Bowman DA, Polys NF. Immersive Space to Think: The Role of 3D Space for Sensemaking. In: 4th Workshop on Immersive Analytics at ACM CHI 2020. 4th Workshop on Immersive Analytics at ACM CHI 2020. ; 2020. p. 8 . 03_submission3-CHI2020_IA.pdf (1.63 MB)
Wenskovitch J, North C. Interactive Artificial Intelligence: Designing for the "Two Black Boxes" Problem. IEEE Computer. 2020;53:29-39. Two_Black_Boxes-final.pdf (4.34 MB)
Masiane MM, Jacques E, Feng W, North C. Modelling the Effect of Computation Sampling on Insight Error in Computational Fluid Dynamics Scientific Simulation. Journal of Engineering, Design and Technology. 2020:32. CFD_IE_Study.pdf (2.7 MB)
Kirshenbaum N, Kobayashi D, Belcaid M, Leigh J, Renambot L, Burks A, Bharadwaj K, Long L, Brown M, Haga J, et al. The Smart Amplified Group Environment. In: 4th Workshop on Immersive Analytics at ACM CHI 2020. 4th Workshop on Immersive Analytics at ACM CHI 2020. ; 2020. p. 6. 09_IA2020-Submission9-Smart_Amplified_Group_Environment__The_future_of_SAGE.pdf (351.92 KB)
Wenskovitch J, Dowling M, North C. 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)
2019
Wenskovitch J, Zhao J, Carter S, Cooper M, North C. Albireo: An Interactive Tool for Visually Summarizing Computational Notebook Structure. In: 2019 Symposium on Visualization in Data Science (VDS’19). 2019 Symposium on Visualization in Data Science (VDS’19). ; 2019. p. . Albireo__Visualizing_Computational_Notebooks.pdf (984.33 KB)
Bian Y, Wenskovitch J, North C. DeepVA: Bridging Cognition and Computation through Semantic Interaction and Deep Learning. 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_2019-2.pdf (8.51 MB)
Li T, Manns CJ, North C, Luther K. Dropping the Baton?: Understanding Errors and Bottlenecks in a Crowdsourced Sensemaking Pipeline. Proc. ACM Hum.-Comput. Interact. [Internet]. 2019;3:136:1–136:26. Available from: http://doi.acm.org/10.1145/3359238 cscw136-li.pdf (2.09 MB)
Sun M, Zhao J, Wu H, Luther K, North C, Ramakrishnan N. The Effect of Edge Bundling and Seriation on Sensemaking of Biclusters in Bipartite Graphs. IEEE Transactions on Visualization and Computer Graphics. 2019;25:2983-2998. 08423100.pdf (5.86 MB)
Bian Y, Dowling M, North C. 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)
Skarbez R, Polys NF, Ogle TJ, North C, Bowman DA. Immersive Analytics: Theory and Research Agenda. Frontiers in Robotics and AI [Internet]. 2019;6:82. Available from: https://www.frontiersin.org/article/10.3389/frobt.2019.00082 92e73d798fc9ef4c3da4c542606c9a38f337.pdf (2.79 MB)
Sun M, Koop D, Zhao J, North C, Ramakrishnan N. Interactive Bicluster Aggregation in Bipartite Graphs. In: VIS 2019 Short Papers. VIS 2019 Short Papers. ; 2019. p. .
Dowling M, Wycoff N, Mayer B, Wenskovitch J, Leman S, House L, Polys N, North C, Hauck P. 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)
Wenskovitch J, North C. Machine Learning from Interaction in Multi-Model Visual Analytics. In: Proceedings of the ACM CHI Conference Workshop on Human-Centered Machine Learning Perspectives at CHI’19. Proceedings of the ACM CHI Conference Workshop on Human-Centered Machine Learning Perspectives at CHI’19. ; 2019. p. . HCML_Submission.pdf (552.21 KB)
Wenskovitch J, Dowling M, Grose L, North C, Chang R, Endert A, Rogers D. 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)
Wenskovitch J, North C. Pollux: Interactive Cluster-First Projections of High-Dimensional Data. In: 2019 Symposium on Visualization in Data Science (VDS’19). 2019 Symposium on Visualization in Data Science (VDS’19). ; 2019. p. . The_Pollux_Paper-2.pdf (1.8 MB)
Wenskovitch J, Dowling M, North C. 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)
Masiane MM, Driscoll A, Feng W, Wenskovitch J, North C. Towards insight-driven sampling for big data visualisation. Behaviour & Information Technology [Internet]. 2019:1-20. Available from: https://doi.org/10.1080/0144929X.2019.1616223 Towards insight driven sampling for big data visualisation.pdf (2.84 MB)
Kodali L, Wenskovitch J, Wycoff N, House L, North C. Uncertainty in Interactive WMDS Visualizations. 2019 Symposium on Visualization in Data Science Posters. 2019. uncertainty-in-wmds-vds.pdf (355.18 KB)
2018
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)
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)

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