投降 发表于 2025-3-21 18:45:12
书目名称Database Systems for Advanced Applications影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0263426<br><br> <br><br>书目名称Database Systems for Advanced Applications影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0263426<br><br> <br><br>书目名称Database Systems for Advanced Applications网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0263426<br><br> <br><br>书目名称Database Systems for Advanced Applications网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0263426<br><br> <br><br>书目名称Database Systems for Advanced Applications被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0263426<br><br> <br><br>书目名称Database Systems for Advanced Applications被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0263426<br><br> <br><br>书目名称Database Systems for Advanced Applications年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0263426<br><br> <br><br>书目名称Database Systems for Advanced Applications年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0263426<br><br> <br><br>书目名称Database Systems for Advanced Applications读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0263426<br><br> <br><br>书目名称Database Systems for Advanced Applications读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0263426<br><br> <br><br>导师 发表于 2025-3-21 20:44:32
Stephen Nkansah Morgan,Beatrice Okyere-Manu any possible attack. Recently, although a certified method based on randomized smoothing is proposed, it does not take the maximized . into account, so we develop an approach to train models with maximized certified regions via replacing the base classifier with the soft smoothed classifier which is differentiable during propagation.Ballerina 发表于 2025-3-22 03:36:07
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0302-9743 network, recommendation, graph, learning, and model. These topic areas and keywords shed the light on the direction where the research in DASFAA is moving towards...Due to the Corona pandemic this event was held virtually..978-3-030-73196-0978-3-030-73197-7Series ISSN 0302-9743 Series E-ISSN 1611-3349精确 发表于 2025-3-22 22:18:27
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Multi-label Classification of Long Text Based on Key-Sentences Extractionention mechanism to improve the efficiency of our model. Experimental results on real-world datasets demonstrate that our proposed model achieves significant and consistent improvements compared with other state-of-the-art baselines.