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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9,541 to 9,550 of 10,015 Results
luwei.md
Sep 13, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering"
Markdown Text - 2.5 KB - MD5: f9004df8d8e6d12b8f281a86fa68e5da
lv.js
Sep 13, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering"
Javascript Code - 900 B - MD5: 08e62128eac1d0e8ac32cfaf75f2ec9f
main.ipynb
Sep 13, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering"
Jupyter Notebook - 50.6 KB - MD5: e2fdbc22b24d73e80a6d465f84759c7a
main.js
Sep 13, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering"
Javascript Code - 16.4 KB - MD5: 63360b20e8b8db511e3a6fb314371743
manage.py
Sep 13, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering"
Python Source Code - 662 B - MD5: d598e8db78a6c3f2c677b6b85302c350
menu.css
Sep 13, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering"
Cascading Style Sheet - 42.3 KB - MD5: 7aad9d1bfa183c4009608acf258dfbc7
menu.min.css
Sep 13, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering"
Cascading Style Sheet - 29.4 KB - MD5: 663924090b6ae18b247cc5a0f15948e5
message.css
Sep 13, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering"
Cascading Style Sheet - 9.8 KB - MD5: a05bf4321046ed8c0e4dea7f95a754ae
message.min.css
Sep 13, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering"
Cascading Style Sheet - 6.5 KB - MD5: 3bf1e95b21e1d1cfe316d2d35c6b7860
mk.js
Sep 13, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering"
Javascript Code - 1.0 KB - MD5: dabbb90871300ce3a295969bc0260420
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