Group headed by Andreas Bulling of the Human-Computer Interaction and Cognitive Systems department of the University of Stuttgart.
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1,181 to 1,190 of 1,262 Results
uwsgi.log
Sep 13, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering"
Plain Text - 232.9 KB - MD5: fc8321a987596437696f597c15ff6f6f
uwsgi.pid
Sep 13, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering"
Unknown - 6 B - MD5: 346152fc6f926ccb92c4484aee79e666
.versions
Sep 13, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering"
Unknown - 72 B - MD5: 941d73c2f066e98ea798a60d689b83f9
video.css
Sep 13, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering"
Cascading Style Sheet - 2.3 KB - MD5: f1b2e6428f69192aeacce2d6deb09000
video.js
Sep 13, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering"
Javascript Code - 15.9 KB - MD5: e9118bb8a3c8e20d671337944cc0c546
video.min.css
Sep 13, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering"
Cascading Style Sheet - 1.3 KB - MD5: e3ee25feab24d403160cab665272a675
video.min.js
Sep 13, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering"
Javascript Code - 5.9 KB - MD5: 5e69610546c7002be3bc210470c16e6f
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: a1c4a621b85095da2d2fd5b79ed24227
views.py
Sep 13, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering"
Python Source Code - 1.0 KB - MD5: 382f0816e859746f48ee42a64348659b
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