SFB-TRR 161 A07 "Visual Attention Modeling for Optimization of Information Visualizations"

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241 to 250 of 658 Results

create_padded_image_dir.py Sep 13, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering" Python Source Code - 2.9 KB - MD5: 0179986bbe34446538b9ca58c3a9814a
cs.js Sep 13, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering" Javascript Code - 1.3 KB - MD5: 4f43e8e7d33aa1e6aadf3286c7e379e9
custom.js Sep 13, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering" Javascript Code - 21.8 KB - MD5: 792ad1b240d07e01bf35f8c4d2b3a9c4
da.js Sep 13, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering" Javascript Code - 828 B - MD5: 766346afe4dd72c003242cfb1cbe2617
dashboard.css Sep 13, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering" Cascading Style Sheet - 380 B - MD5: be83f13e43697cf90702cc405a6ab368
DateTimeShortcuts.js Sep 13, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering" Javascript Code - 19.2 KB - MD5: 5548f99471bf5cd0a3bceacb278a9779
dcn_resnet_new.py Sep 13, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering" Python Source Code - 9.3 KB - MD5: cc3d2204ee37478656223a43ea4a8504
debugout.js Sep 13, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering" Javascript Code - 12.8 KB - MD5: 6fc90c20132ec8e6e36b8d8071b53b28
de.js Sep 13, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering" Javascript Code - 866 B - MD5: 8a1c222b0204c8faaf6d3c07c961d8aa
demo.gif Sep 13, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering" GIF Image - 2.7 MB - MD5: 05b508798900f1ec25792bf5536f4eae

create_padded_image_dir.py

Sep 13, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering"

Python Source Code - 2.9 KB -

cs.js

Sep 13, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering"

Javascript Code - 1.3 KB -

custom.js

Sep 13, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering"

Javascript Code - 21.8 KB -

da.js

Sep 13, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering"

Javascript Code - 828 B -

dashboard.css

Sep 13, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering"

Cascading Style Sheet - 380 B -

DateTimeShortcuts.js

Sep 13, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering"

Javascript Code - 19.2 KB -

dcn_resnet_new.py

Sep 13, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering"

Python Source Code - 9.3 KB -

debugout.js

Sep 13, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering"

Javascript Code - 12.8 KB -

de.js

Sep 13, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering"

Javascript Code - 866 B -

demo.gif

Sep 13, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering"

GIF Image - 2.7 MB -

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