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

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書目名稱Artificial Intelligence影響因子(影響力)




書目名稱Artificial Intelligence影響因子(影響力)學(xué)科排名




書目名稱Artificial Intelligence網(wǎng)絡(luò)公開度




書目名稱Artificial Intelligence網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Artificial Intelligence被引頻次




書目名稱Artificial Intelligence被引頻次學(xué)科排名




書目名稱Artificial Intelligence年度引用




書目名稱Artificial Intelligence年度引用學(xué)科排名




書目名稱Artificial Intelligence讀者反饋




書目名稱Artificial Intelligence讀者反饋學(xué)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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