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发表于 2025-3-21 18:08:54
书目名称Neural Information Processing影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0663589<br><br> <br><br>书目名称Neural Information Processing影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0663589<br><br> <br><br>书目名称Neural Information Processing网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0663589<br><br> <br><br>书目名称Neural Information Processing网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0663589<br><br> <br><br>书目名称Neural Information Processing被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0663589<br><br> <br><br>书目名称Neural Information Processing被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0663589<br><br> <br><br>书目名称Neural Information Processing年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0663589<br><br> <br><br>书目名称Neural Information Processing年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0663589<br><br> <br><br>书目名称Neural Information Processing读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0663589<br><br> <br><br>书目名称Neural Information Processing读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0663589<br><br> <br><br>
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发表于 2025-3-21 23:10:21
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后退
发表于 2025-3-22 03:32:04
Communications in Computer and Information Sciencehttp://image.papertrans.cn/n/image/663589.jpg
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发表于 2025-3-22 05:01:41
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发表于 2025-3-22 12:22:42
Paper Recommendation with Multi-view Knowledge-Aware Attentive Network solve problems such as data sparsity faced by traditional recommendation methods and used GNN-based techniques to mine the features of users and papers. However, existing work has not emphasized the quality of the knowledge graph construction, and has not optimized the modeling method from the scen
弯弯曲曲
发表于 2025-3-22 13:01:26
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bizarre
发表于 2025-3-22 17:04:52
Research on Automatic Segmentation Algorithm of Brain Tumor Image Based on Multi-sequence Self-superllenging due to the limitations and intricacy of manual delineation. This paper presents a brain tumor image segmentation framework that addresses these challenges by leveraging multiple sequence information. The framework consists of encoder, decoder, and data fusion modules. The encoder incorporat
Inscrutable
发表于 2025-3-22 23:29:39
An Effective Morphological Analysis Framework of Intracranial Artery in 3D Digital Subtraction Angiorvention surgery. However, this task often comes with challenges of large-scale image and memory constraints. In this paper, an effective two-stage framework is proposed for fully automatic morphological analysis of intracranial artery. In the first stage, the proposed Region-Global Fusion Network (
情节剧
发表于 2025-3-23 04:54:40
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Incompetent
发表于 2025-3-23 09:33:42
TCNet: Texture and Contour-Aware Model for Bone Marrow Smear Region of Interest Selection it is essential to select uniformly distributed and clear sections as regions of interest (ROIs). However, current ROI selection models have not considered the characteristics of bone marrow smears, resulting in poor performance in practical applications. By comparing bone marrow smear ROIs and non