Biblio
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. Exploring Organization of Computational Notebook Cells in 2D Space. In: 2022 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC). 2022 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC). ; 2022. p. 1-6.
IEEE_VL_HCC_2022_Paper-2.pdf (330.5 KB)
IEEE_VL_HCC_2022_Paper-2.pdf (330.5 KB). Bridging cognitive gaps between user and model in interactive dimension reduction. Visual Informatics. 2021;53(2):13-25.
. An Examination of Grouping and Spatial Organization Tasks for High-Dimensional Data Exploration. IEEE Transactions on Visualization and Computer Graphics. 2021;27(2):1742-1752. Cognitive_Study_VIS_Paper-2.pdf (4 MB)
Cognitive_Study_VIS_Paper-2.pdf (4 MB). Interactive Artificial Intelligence: Designing for the "Two Black Boxes" Problem. IEEE Computer. 2020;53(8):29-39. Two_Black_Boxes-final.pdf (4.34 MB)
Two_Black_Boxes-final.pdf (4.34 MB). NetReAct: Interactive Learning for Network Summarization. In: NeurIPS 2020 Workshop on Human and Model in the Loop Evaluation and Training Strategies (HAMLETS). NeurIPS 2020 Workshop on Human and Model in the Loop Evaluation and Training Strategies (HAMLETS). ; 2020. p. . NetReact_NeuripsWorkshop (1).pdf (584.12 KB)
NetReact_NeuripsWorkshop (1).pdf (584.12 KB). 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)
With_Respect_to_What_.pdf (672.1 KB). 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)
Albireo__Visualizing_Computational_Notebooks.pdf (984.33 KB). 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)
MLUI_2019-2.pdf (8.51 MB). 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)
1-s2.0-S2214579618302995-main.pdf (1.32 MB). 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)
HCML_Submission.pdf (552.21 KB). 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)
MLUI_Long_Paper.pdf (5.22 MB). 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)
The_Pollux_Paper-2.pdf (1.8 MB). 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)
p89-wenskovitch.pdf (478.5 KB). 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)
Towards insight driven sampling for big data visualisation.pdf (2.84 MB). Uncertainty in Interactive WMDS Visualizations. 2019 Symposium on Visualization in Data Science Posters. 2019. uncertainty-in-wmds-vds.pdf (355.18 KB)
uncertainty-in-wmds-vds.pdf (355.18 KB). Be the Data: Embodied Visual Analytics. IEEE Transactions on Learning Technologies. 2018;11(1):81-95. data-embodied-visual.pdf (6.31 MB)
data-embodied-visual.pdf (6.31 MB). 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)
Pipeline.pdf (5.02 MB). 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)
cognitive-computational-benefits.pdf (374.93 KB). Construction and Usage of the Semantic Interaction Pipeline. 2018:1-29. construction-usage-semantic.pdf (4.5 MB)
construction-usage-semantic.pdf (4.5 MB). The Effect of Semantic Interaction on Foraging in Text Analysis. In: 2018 IEEE Conference on Visual Analytics Science and Technology (VAST). 2018 IEEE Conference on Visual Analytics Science and Technology (VAST). ; 2018. p. . effect-semantic-interaction.pdf (1.43 MB)
effect-semantic-interaction.pdf (1.43 MB). Observation-Level and Parametric Interaction for High-Dimensional Data Analysis. ACM Transactions on Interactive Intelligent Systems. 2018;8(2). observation-level-parametric_first_look_version.pdf (1.82 MB)
observation-level-parametric_first_look_version.pdf (1.82 MB). 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)
SIRIUS 2018 v3 preprint sm.pdf (470.59 KB) SIRIUS 2018 Comparisions v3 preprint.pdf (87.44 KB). 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)
systematic-combination-dimension.pdf (6 MB). 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)
HILDA17_final.pdf (691.5 KB)