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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9,561 to 9,570 of 9,987 Results
progress.min.js
Sep 13, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering"
Javascript Code - 12.3 KB - MD5: 9bb042a14a8818d56b797cf9827e89c4
ps.js
Sep 13, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering"
Javascript Code - 1.0 KB - MD5: 38dfa47af9e086eece5a333d711abc79
pt-BR.js
Sep 13, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering"
Javascript Code - 876 B - MD5: e1b294433e7fc3175842ce37b9f15014
pt.js
Sep 13, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering"
Javascript Code - 878 B - MD5: 33b4a3b44d437614b83497e36c138ca9
rail.css
Sep 13, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering"
Cascading Style Sheet - 2.6 KB - MD5: ac655f0cb7ad3178bf2fe8ee502bac80
rail.min.css
Sep 13, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering"
Cascading Style Sheet - 1.4 KB - MD5: 2c27408c2e95f1877ea2a035a64c5605
rating.css
Sep 13, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering"
Cascading Style Sheet - 20.2 KB - MD5: 36aac59bfa6dff34cf21217e4a0178fe
rating.js
Sep 13, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering"
Javascript Code - 14.5 KB - MD5: 4a06359c2b8621bb143899e74dfe267c
rating.min.css
Sep 13, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering"
Cascading Style Sheet - 18.0 KB - MD5: 8bd01f9daca4cd972ef73675f0b906f3
rating.min.js
Sep 13, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering"
Javascript Code - 5.4 KB - MD5: ba42c36d11672d70bd347756f9f69c10
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