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Home Page: https://arxiv.org/abs/2306.12014
Official implementation of "3HAN: A Deep Neural Network for Fake News Detection" (ICONIP 2017)
Home Page: https://arxiv.org/abs/2306.12014
Hi, In your paper you mentioned that you used a 20-10-70 split. I am interested in knowing how this split is performed. For eg: if website Real-A has RA articles, Real-B has RB articles, Fake-A has FA articles, Fake-B has FB articles, is your split article wise i.e: Train(0.2RA + 0.2RB, 0.2FA + 0.2FB) or is it overall. i.e Train 0.2(RA + RB) or did you keep some sites in test and some in train. Thank you.
Hi:
Thanks very much for the yolo-depth project, how to convert a single channel of depth map into yolo_custom_depth.cfg network and input three channels.
Looking forward to your reply
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