Biblio

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2019
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)
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)
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)
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)

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