Brain Activity is Influenced by How High Dimensional Data are Represented: An EEG Study of Scatterplot Diagnostic (Scagnostics) Measures-Reference-Cited by-同舟云学术

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Brain Activity is Influenced by How High Dimensional Data are Represented: An EEG Study of Scatterplot Diagnostic (Scagnostics) Measures

Published:2023-12-12 Issue:1 Volume:8 Page:19-49
ISSN:2509-4971
Container-title:Journal of Healthcare Informatics Research
language:en
Short-container-title:J Healthc Inform Res

Author:

Etemadpour Ronak,Shintree Sonali,Shereen A. Duke

Funder

Professional Staff Congress CUNY

Professional Staff Congress and City University of New York

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Science Applications,Health Informatics,Information Systems

Link

https://link.springer.com/content/pdf/10.1007/s41666-023-00145-2.pdf

Reference105 articles.

1. Albuquerque G, Eisemann M, Magnor M (2011) Perception-based visual quality measures. In: 2011 IEEE conference on visual analytics science and technology (VAST). IEEE, pp 13–20

2. Sedlmair M, Tatu A, Munzner T, Tory M (2012) A taxonomy of visual cluster separation factors. In: Computer graphics forum, vol 31. Wiley Online Library, pp 1335–1344

3. Sips M, Neubert B, Lewis JP, Hanrahan P (2009) Selecting good views of high-dimensional data using class consistency. In: Computer graphics Forum, vol 28. Wiley Online Library, pp 831–838

4. Lehmann DJ, Kemmler F, Zhyhalava T, Kirschke M, Theisel H (2015) Visualnostics: visual guidance pictograms for analyzing projections of high-dimensional data. In: Computer graphics forum, vol 34. Wiley Online Library, pp 291–300

5. Wilkinson L, Anand A, Grossman R (2005) Graph-theoretic scagnostics. In: IEEE Symposium on information visualization. INFOVIS 2005. IEEE, pp 157–164

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