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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9,591 to 9,600 of 10,013 Results
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
README.md
Sep 13, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering"
Markdown Text - 6.2 KB - MD5: 6f8c0dfcc88c53fccb7cfe8f3b3ff4b8
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
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