STH 发表于 2025-3-21 17:50:33

书目名称Neural Information Processing影响因子(影响力)<br>        http://impactfactor.cn/if/?ISSN=BK0663587<br><br>        <br><br>书目名称Neural Information Processing影响因子(影响力)学科排名<br>        http://impactfactor.cn/ifr/?ISSN=BK0663587<br><br>        <br><br>书目名称Neural Information Processing网络公开度<br>        http://impactfactor.cn/at/?ISSN=BK0663587<br><br>        <br><br>书目名称Neural Information Processing网络公开度学科排名<br>        http://impactfactor.cn/atr/?ISSN=BK0663587<br><br>        <br><br>书目名称Neural Information Processing被引频次<br>        http://impactfactor.cn/tc/?ISSN=BK0663587<br><br>        <br><br>书目名称Neural Information Processing被引频次学科排名<br>        http://impactfactor.cn/tcr/?ISSN=BK0663587<br><br>        <br><br>书目名称Neural Information Processing年度引用<br>        http://impactfactor.cn/ii/?ISSN=BK0663587<br><br>        <br><br>书目名称Neural Information Processing年度引用学科排名<br>        http://impactfactor.cn/iir/?ISSN=BK0663587<br><br>        <br><br>书目名称Neural Information Processing读者反馈<br>        http://impactfactor.cn/5y/?ISSN=BK0663587<br><br>        <br><br>书目名称Neural Information Processing读者反馈学科排名<br>        http://impactfactor.cn/5yr/?ISSN=BK0663587<br><br>        <br><br>

禁止,切断 发表于 2025-3-21 21:41:06

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横条 发表于 2025-3-22 00:59:33

Conference proceedings 2019different domains. The third volume, LNCS 11955, is organized in topical sections on semantic and graph based approaches; spiking neuron and related models; text computing using neural techniques; time-series and related models; and unsupervised neural models..

丛林 发表于 2025-3-22 04:37:42

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PRO 发表于 2025-3-22 09:31:58

0302-9743related models; text computing using neural techniques; time-series and related models; and unsupervised neural models..978-3-030-36717-6978-3-030-36718-3Series ISSN 0302-9743 Series E-ISSN 1611-3349

falsehood 发表于 2025-3-22 16:44:14

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overture 发表于 2025-3-22 17:56:40

HRec: Heterogeneous Graph Embedding-Based Personalized Point-of-Interest Recommendationing the embeddings of users and POIs in the heterogeneous graph. Then we devise the ranking module to recommend each user the ultimate ranked list of relevant POIs by utilizing two pairwise feedback comparisons. Experimental results on two real-world datasets demonstrate the effectiveness and superiority of the proposed method.

Guileless 发表于 2025-3-22 23:28:02

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RENIN 发表于 2025-3-23 03:45:54

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forager 发表于 2025-3-23 06:31:35

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查看完整版本: Titlebook: Neural Information Processing; 26th International C Tom Gedeon,Kok Wai Wong,Minho Lee Conference proceedings 2019 Springer Nature Switzerla