Biblio
Export 24 results:
Sort by: Author Title [ Type] Year Filters: Author is Wenskovitch, John [Clear All Filters]
.
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)
. 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)
. 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)
. 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)
. 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)
. Bridging cognitive gaps between user and model in interactive dimension reduction. Visual Informatics. 2021;53(2):13-25.
. Be the Data: Embodied Visual Analytics. IEEE Transactions on Learning Technologies. 2018;11(1):81-95. data-embodied-visual.pdf (6.31 MB)
. 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)
. Uncertainty in Interactive WMDS Visualizations. 2019 Symposium on Visualization in Data Science Posters. 2019. uncertainty-in-wmds-vds.pdf (355.18 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)
. 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)
. 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)
. 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)
. 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)
. 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)
. 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)
. 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)
. 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)
. 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)
. 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)
. 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)
. 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)
. 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)
.