The Institute for Visualization and Interactive Systems (VIS) at the University of Stuttgart is an institute of the department of computer science in the faculty of computer science, electrical engineering and information technology. Around 70 people are conducting research and teaching in the areas of visualisation and computer graphics, human-computer interaction and cognitive systems, computer vision and pattern recognition as well as augmented and virtual reality. This DataVerse contains the research data produced by the institute in these fields. Large-scale projects – like collaborative research centres – the institute is participating in might have additional DataVerses containing data produced at VIS. Furthermore, we recommend also visiting the DataVerse of VISUS, our closely related central research institute for the area of visualisation.
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ka.js
Sep 13, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering"
Javascript Code - 1.2 KB - MD5: 2083264a54f0873f55468affa796d61e
km.js
Sep 13, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering"
Javascript Code - 1.1 KB - MD5: c23089cb06ca871153ba9bfe8458a378
ko.js
Sep 13, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering"
Javascript Code - 855 B - MD5: e7be6c20e67393698a0f05971e9720c1
label.css
Sep 13, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering"
Cascading Style Sheet - 27.5 KB - MD5: a3779ca6411959c3bab0fed2775e79d3
label.min.css
Sep 13, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering"
Cascading Style Sheet - 19.4 KB - MD5: 160657a1f33fac4b425de623adacd485
launch.sh
Sep 13, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering"
Shell Script - 1.1 KB - MD5: 483b0f832203280f7fe431bb8695f384
LICENSE
Sep 13, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering"
Plain Text - 1.1 KB - MD5: e5f5f64b5e4e23e60a325903030bcf0b
LICENSE
Sep 13, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering"
Plain Text - 1.1 KB - MD5: 45bae9fa52ee03f97bd393f522bf7ebe
LICENSE
Sep 13, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering"
Plain Text - 1.1 KB - MD5: 2c54f4e1ca1cba30bbad4175130cc5a1
LICENSE-SELECT2.md
Sep 13, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering"
Markdown Text - 1.1 KB - MD5: f94142512c911b193a09e603fb0db26a
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