Biblio

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Self JZ, Zeitz R, North C, Breitler AL. Auto-Highlighter: Identifying Salient Sentences in Text. In: 2013 IEEE International Conference on Intelligence and Security Informatics (ISI). 2013 IEEE International Conference on Intelligence and Security Informatics (ISI). Seattle, WA, USA; 2013. p. 260 - 262. omni-paper.pdf (558.31 KB) salience-3page-final.pdf (311.62 KB) auto_highlighter_slides.pdf (1.83 MB)
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)
Self JZ, Self N, House L, Leman S, North C. Improving Students' Cognitive Dimensionality through Education with Object-Level Interaction. Blacksburg; 2014 p. . vast_self_tech_report.pdf (2.96 MB)
Self JZ, Dowling M, Wenskovitch J, Crandell I, Wang M, House L, Leman S, North C. 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)
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)
Self JZ, House L, Leman S, North C. Andromeda: Observation-Level and Parametric Interaction for Exploratory Data Analysis. Blacksburg; 2015 p. . jzself-tech-report.pdf (2.5 MB)
Self JZ, Hu X, House L, Leman S, North C. Designing Usable Interactive Visual Analytics Tools for Dimension Reduction. In: CHI 2016 Workshop on Human-Centered Machine Learning (HCML). CHI 2016 Workshop on Human-Centered Machine Learning (HCML). ; 2016. p. 7. Self_design_paper_final.pdf (626.44 KB)
Self JZ, Hu X, House L, Leman S, North C. Designing for Interactive Dimension Reduction Visual Analytics Tools to Explore High-Dimensional Data. Blacksburg; 2015 p. . jzself_vast2015_tech_report.pdf (3.65 MB)