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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9,771 to 9,780 of 9,985 Results
group2.tab
Jun 21, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering"
Tabular Data - 138.0 KB - 8 Variables, 33 Observations - UNF:6:o7V0M/xhhCWMSYwrQOimCA==
group3.tab
Jun 21, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering"
Tabular Data - 100.8 KB - 8 Variables, 24 Observations - UNF:6:qJOq/CvwcX2MNYkO+pbCqg==
group4.tab
Jun 21, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering"
Tabular Data - 208.9 KB - 8 Variables, 50 Observations - UNF:6:DADTh+4mSmSBFsaT4+NGmg==
group5.tab
Jun 21, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering"
Tabular Data - 138.4 KB - 8 Variables, 33 Observations - UNF:6:8HRv7Kuasf4OVF5SoO3sFw==
group6.tab
Jun 21, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering"
Tabular Data - 176.5 KB - 8 Variables, 42 Observations - UNF:6:8HH5BlTZe5sPeitPVqoEWg==
group7.tab
Jun 21, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering"
Tabular Data - 75.2 KB - 8 Variables, 18 Observations - UNF:6:A2OGVrJLftquxxpYcbsnRg==
group8.tab
Jun 21, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering"
Tabular Data - 163.1 KB - 8 Variables, 39 Observations - UNF:6:VVrs6jWUFW7J3C7Wu5Uflg==
group9.tab
Jun 21, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering"
Tabular Data - 116.7 KB - 8 Variables, 28 Observations - UNF:6:yuJS2AQd0ZaBsrEGEnjB7g==
MANIFEST.TXT
Jun 21, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering"
Plain Text - 43.7 KB - MD5: 642353df65727ff77b01f3a80f2e9612
VITALflow_Case_Study_Appendix.pdf
VITALflow_Case_Study_Appendix.pdf
Apr 4, 2022 - Supplemental Material for "VITALflow: Visual Interactive Traffic Analysis with NetFlow"
Adobe PDF - 463.3 KB - MD5: b602a3926336831ea056b48b441c432f
A description of the evaluation of VITALflow that has been performed with network experts along with the results of this evaluation.
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