Group headed by Andreas Bulling of the Human-Computer Interaction and Cognitive Systems department of the University of Stuttgart.
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2K-S52z1bcV0xQD4mnuCbw==.0.png
2K-S52z1bcV0xQD4mnuCbw==.0.png
Sep 13, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering"
PNG Image - 417.3 KB - MD5: d6e992ceddc0b9f42a5c607953c16f03
3PuDl5gc8C7FWTFXB8kmqw==.0.png
3PuDl5gc8C7FWTFXB8kmqw==.0.png
Sep 13, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering"
PNG Image - 200.9 KB - MD5: fc24e5f6e2015e652b0d37d4c1ca39f3
accordion.css
Sep 13, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering"
Cascading Style Sheet - 8.7 KB - MD5: b84fb16d90ceb2224bf683cfab3dc903
accordion.js
Sep 13, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering"
Javascript Code - 20.1 KB - MD5: 836cb4ab4f6625fc7cdcadc00b4bdc8c
accordion.min.css
Sep 13, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering"
Cascading Style Sheet - 6.7 KB - MD5: ef603f46333ac0768ea14dd9fad8e7bd
accordion.min.js
Sep 13, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering"
Javascript Code - 7.1 KB - MD5: b2041b7e818114b3b5ff786b76714e04
actions.js
Sep 13, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering"
Javascript Code - 7.5 KB - MD5: a6d23e8853fdee6305cfd070949cbe3b
ad.css
Sep 13, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering"
Cascading Style Sheet - 4.1 KB - MD5: f66e7dca22db394a644dcbf683b63596
ad.min.css
Sep 13, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering"
Cascading Style Sheet - 2.0 KB - MD5: 58fd2d8b33eecc6df8e31508ad0c2870
admin.py
Sep 13, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering"
Python Source Code - 97 B - MD5: d1a889d146fb8fdfa411a3cfb7324111
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