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391 to 400 of 663 Results
LICENSE-SELECT2.md
Sep 13, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering"
Markdown Text - 1.1 KB - MD5: f94142512c911b193a09e603fb0db26a
LICENSE.txt
Sep 13, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering"
Plain Text - 1.1 KB - MD5: bf79e414957a6625ef109c2c16be1462
LICENSE.txt
Sep 13, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering"
Plain Text - 11.3 KB - MD5: d273d63619c9aeaf15cdaf76422c4f87
LICENSE.txt
Sep 13, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering"
Plain Text - 1.1 KB - MD5: 75308107741f7dcdc39127209c7e3fc8
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
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