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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LICENSE.txt
Sep 13, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering"
Plain Text - 1.1 KB - MD5: bf79e414957a6625ef109c2c16be1462
LICENSE.txt
Sep 13, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering"
Plain Text - 11.3 KB - MD5: d273d63619c9aeaf15cdaf76422c4f87
LICENSE.txt
Sep 13, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering"
Plain Text - 1.1 KB - MD5: 75308107741f7dcdc39127209c7e3fc8
list.css
Sep 13, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering"
Cascading Style Sheet - 21.9 KB - MD5: 94f290602a2bb28b399a3e0948e33013
list.min.css
Sep 13, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering"
Cascading Style Sheet - 15.6 KB - MD5: 78262e4591043c42e32169ebb55236c3
loader.css
Sep 13, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering"
Cascading Style Sheet - 7.0 KB - MD5: 609fe20e73688578cd9021df47467f49
loader.min.css
Sep 13, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering"
Cascading Style Sheet - 4.6 KB - MD5: 36238a8d0384c40d9c458f4be036412d
login.css
Sep 13, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering"
Cascading Style Sheet - 939 B - MD5: c35adf41bb6e66cebd8823d9080cb33c
losses_keras2.py
Sep 13, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering"
Python Source Code - 11.4 KB - MD5: bb5ca309907d5e3975fbfeec8c5499e9
lt.js
Sep 13, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering"
Javascript Code - 944 B - MD5: 23c7ce903300fc118947994b9cdd16cb
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