Titlebook: Artificial Intelligence; Second CAAI Internat Lu Fang,Daniel Povey,Ruiping Wang Conference proceedings 2022 The Editor(s) (if applicable) a

fitful

书目名称Artificial Intelligence影响因子(影响力)




书目名称Artificial Intelligence影响因子(影响力)学科排名




书目名称Artificial Intelligence网络公开度




书目名称Artificial Intelligence网络公开度学科排名




书目名称Artificial Intelligence被引频次




书目名称Artificial Intelligence被引频次学科排名




书目名称Artificial Intelligence年度引用




书目名称Artificial Intelligence年度引用学科排名




书目名称Artificial Intelligence读者反馈




书目名称Artificial Intelligence读者反馈学科排名

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APNEA

breadth

流动才波动

Stochastic and Dual Adversarial GAN-Boosted Zero-Shot Knowledge Graph, generative adversarial network (GAN) has been used in zero-shot learning for KG completion. However, existing works on GAN-based zero-shot KG completion all use traditional simple architecture without randomness in generator, which greatly limits the ability of GAN mining knowledge on complex data

Overthrow

亲爱

Cloudburst

山羊

Region-Based Dense Adversarial Generation for Medical Image Segmentationmples, making robustness a key factor of DNNs when applied in the field of medical research. In this paper, in order to evaluate the robustness of medical image segmentation networks, we propose a novel Region-based Dense Adversary Generation (RDAG) method to generate adversarial examples. Specifica

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