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The Newcastle University research output collection, currently available on ePrints, will shortly be moving to a new open repository platform, Figshare. To prepare for the data migration we have paused adding new content to ePrints, and will resume once the new repository is launched. During this time you will continue to have access to ePrints (but no new content will appear). We will share updates here when available.

Unveiling High-dimensional Backstage: A Survey for Reliable Visual Analytics with Dimensionality Reduction

Lookup NU author(s): Professor Daniel ArchambaultORCiD

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This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).


Publication metadata

Author(s): Jeon H, Lee H, Kuo Y-H, Archambault D, Ko S, Fujiwara T, Ma K-L, Seo J

Publication type: Conference Proceedings (inc. Abstract)

Publication status: Published

Conference Name: CHI '25: Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems

Year of Conference: 2025

Pages: 1-24

Online publication date: 25/04/2025

Acceptance date: 04/03/2025

Date deposited: 06/03/2025

Publisher: Association for Computing Machinery

URL: https://doi.org/10.1145/3706598.3713551

DOI: 10.1145/3706598.3713551

Library holdings: Search Newcastle University Library for this item

ISBN: 9798400713941


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