Group headed by Andreas Bulling of the Human-Computer Interaction and Cognitive Systems department of the University of Stuttgart.
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1,011 to 1,020 of 1,097 Results
urls.py
Sep 13, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering"
Python Source Code - 1.3 KB - MD5: 837f1063bb25e9d624df4c6654dff78c
urls.py
Sep 13, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering"
Python Source Code - 112 B - MD5: 4ece591269c0741593804395c0e0627c
urls.py
Sep 13, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering"
Python Source Code - 118 B - MD5: 46b4d80fc7e2521ff7a8f54cd1ce52ca
util.py
Sep 13, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering"
Python Source Code - 2.4 KB - MD5: 118efa44122dc0e38af43174db11d0c9
uwsgi.ini.default
Sep 13, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering"
Unknown - 658 B - MD5: 8ddd1b19a25e78d855c6c48bb932776d
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
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