fitful 发表于 2025-3-21 17:38:19

书目名称Artificial Intelligence影响因子(影响力)<br>        http://figure.impactfactor.cn/if/?ISSN=BK0162079<br><br>        <br><br>书目名称Artificial Intelligence影响因子(影响力)学科排名<br>        http://figure.impactfactor.cn/ifr/?ISSN=BK0162079<br><br>        <br><br>书目名称Artificial Intelligence网络公开度<br>        http://figure.impactfactor.cn/at/?ISSN=BK0162079<br><br>        <br><br>书目名称Artificial Intelligence网络公开度学科排名<br>        http://figure.impactfactor.cn/atr/?ISSN=BK0162079<br><br>        <br><br>书目名称Artificial Intelligence被引频次<br>        http://figure.impactfactor.cn/tc/?ISSN=BK0162079<br><br>        <br><br>书目名称Artificial Intelligence被引频次学科排名<br>        http://figure.impactfactor.cn/tcr/?ISSN=BK0162079<br><br>        <br><br>书目名称Artificial Intelligence年度引用<br>        http://figure.impactfactor.cn/ii/?ISSN=BK0162079<br><br>        <br><br>书目名称Artificial Intelligence年度引用学科排名<br>        http://figure.impactfactor.cn/iir/?ISSN=BK0162079<br><br>        <br><br>书目名称Artificial Intelligence读者反馈<br>        http://figure.impactfactor.cn/5y/?ISSN=BK0162079<br><br>        <br><br>书目名称Artificial Intelligence读者反馈学科排名<br>        http://figure.impactfactor.cn/5yr/?ISSN=BK0162079<br><br>        <br><br>

不要严酷 发表于 2025-3-21 21:31:36

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APNEA 发表于 2025-3-22 03:23:54

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breadth 发表于 2025-3-22 05:45:10

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流动才波动 发表于 2025-3-22 10:22:02

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 发表于 2025-3-22 14:34:48

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亲爱 发表于 2025-3-22 20:39:50

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Cloudburst 发表于 2025-3-22 23:56:15

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山羊 发表于 2025-3-23 04:08:00

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

生意行为 发表于 2025-3-23 07:28:18

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