Titlebook: Artificial Intelligence; First CAAI Internati Lu Fang,Yiran Chen,Weisheng Dong Conference proceedings 2021 Springer Nature Switzerland AG 2

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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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: Capturing Different Behaviors in Multiplex Heterogeneous Networks for Recommendationerogeneous network has multiple types of nodes and edges (or relations). Multiplex heterogeneous network embedding aims to learn from abundant structural and semantic information of a graph and embed nodes into low-dimensional representations. Existing works usually split the graph into several rela

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Increasing Oversampling Diversity for Long-Tailed Visual Recognitione of the commonly used techniques to tackle this problem. In this paper, we first analyze that the commonly used oversampling technique tends to distort the representation learning and harm the network’s generalizability. Then we propose two novel methods to increase the minority feature’s diversity

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Odds Estimating with Opponent Hand Belief for Texas Hold’em Poker Agentsate indefectible AI transfers to develop new AIs which can exploit opponents and explain its own decisions better. Hand odds estimating used to state abstracting, situation evaluating, decision assisting is one of the key foundations for such new agents. But all the current methods implicitly assume

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Remote Sensing Image Recommendation Using Multi-attribute Embedding and Fusion Collaborative Filterily. Introducing recommendation systems into the distribution of remote sensing images can lower the threshold to obtain images for the public and subvert the traditional image service pattern. Different from other industries, users in the remote sensing field do not purchase data frequently in most

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