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391 to 400 of 658 Results
list.css
Sep 13, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering"
Cascading Style Sheet - 21.9 KB - MD5: 94f290602a2bb28b399a3e0948e33013
list.min.css
Sep 13, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering"
Cascading Style Sheet - 15.6 KB - MD5: 78262e4591043c42e32169ebb55236c3
loader.css
Sep 13, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering"
Cascading Style Sheet - 7.0 KB - MD5: 609fe20e73688578cd9021df47467f49
loader.min.css
Sep 13, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering"
Cascading Style Sheet - 4.6 KB - MD5: 36238a8d0384c40d9c458f4be036412d
login.css
Sep 13, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering"
Cascading Style Sheet - 939 B - MD5: c35adf41bb6e66cebd8823d9080cb33c
losses_keras2.py
Sep 13, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering"
Python Source Code - 11.4 KB - MD5: bb5ca309907d5e3975fbfeec8c5499e9
lt.js
Sep 13, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering"
Javascript Code - 944 B - MD5: 23c7ce903300fc118947994b9cdd16cb
luwei.md
Sep 13, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering"
Markdown Text - 2.5 KB - MD5: f9004df8d8e6d12b8f281a86fa68e5da
lv.js
Sep 13, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering"
Javascript Code - 900 B - MD5: 08e62128eac1d0e8ac32cfaf75f2ec9f
main.ipynb
Sep 13, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering"
Jupyter Notebook - 50.6 KB - MD5: e2fdbc22b24d73e80a6d465f84759c7a
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