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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9,731 to 9,740 of 10,015 Results
views.py
Sep 13, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering"
Python Source Code - 1.0 KB - MD5: 9cd7bbe39533b969dc486cc7506bd7a9
views.py
Sep 13, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering"
Python Source Code - 1.0 KB - MD5: cd7cccd14cb7abd916ce28252ee96772
views.py
Sep 13, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering"
Python Source Code - 1.0 KB - MD5: 703064343c61e57cdab658296dafde67
views.py
Sep 13, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering"
Python Source Code - 1.0 KB - MD5: e433e9a35999a50dbf7869aca182135d
views.py
Sep 13, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering"
Python Source Code - 1.0 KB - MD5: ea53faaa4e967f5a7d4ef6102fcde2ed
views.py
Sep 13, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering"
Python Source Code - 1.0 KB - MD5: a1c4a621b85095da2d2fd5b79ed24227
views.py
Sep 13, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering"
Python Source Code - 1.0 KB - MD5: 70fee274e2167fe453810e796a9d5bf3
views.py
Sep 13, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering"
Python Source Code - 1.0 KB - MD5: 382f0816e859746f48ee42a64348659b
views.py
Sep 13, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering"
Python Source Code - 1.0 KB - MD5: 8eff2fc2ae9a8a488eaf9daa20f86b77
views.py
Sep 13, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering"
Python Source Code - 1.0 KB - MD5: 50640f4b611ea88b6e9b5b77a788337e
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