Group headed by Andreas Bulling of the Human-Computer Interaction and Cognitive Systems department of the University of Stuttgart.
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891 to 900 of 1,097 Results
README.md
Sep 13, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering"
Markdown Text - 448 B - MD5: 07621a354d1b53bf86ac2378983d873b
README.txt
Sep 13, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering"
Plain Text - 214 B - MD5: ab99e6b541eace490e7328d9f9c26dbb
README.txt
Sep 13, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering"
Plain Text - 319 B - MD5: a70711a38d870ceaa34ce048b7b04feb
README.txt
Sep 13, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering"
Plain Text - 1.6 KB - MD5: f5f91bf403fe615d35f5d0f91d99eb45
Readme of this dataset
RelatedObjectLookups.js
Sep 13, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering"
Javascript Code - 5.8 KB - MD5: b4d76b6aaf0bcf70a20dbf2c66ce36b0
reset.css
Sep 13, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering"
Cascading Style Sheet - 8.7 KB - MD5: 23b5215da7b27281073766c5d834084c
reset.min.css
Sep 13, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering"
Cascading Style Sheet - 2.2 KB - MD5: 768124be9838c2ffa2e24e26031cf09f
responsive.css
Sep 13, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering"
Cascading Style Sheet - 18.1 KB - MD5: b128bdf0edef2235e597924ad9afb5d9
responsive_rtl.css
Sep 13, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering"
Cascading Style Sheet - 1.7 KB - MD5: e13ae754cceb007016016d895034e89a
reveal.css
Sep 13, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering"
Cascading Style Sheet - 7.8 KB - MD5: 2ad2752b9b1e4a68e2ac7c870cf2c7f9
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