Maudlin
发表于 2025-3-21 17:16:04
书目名称Handbuch Policy-Forschung影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0423090<br><br> <br><br>书目名称Handbuch Policy-Forschung影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0423090<br><br> <br><br>书目名称Handbuch Policy-Forschung网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0423090<br><br> <br><br>书目名称Handbuch Policy-Forschung网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0423090<br><br> <br><br>书目名称Handbuch Policy-Forschung被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0423090<br><br> <br><br>书目名称Handbuch Policy-Forschung被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0423090<br><br> <br><br>书目名称Handbuch Policy-Forschung年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0423090<br><br> <br><br>书目名称Handbuch Policy-Forschung年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0423090<br><br> <br><br>书目名称Handbuch Policy-Forschung读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0423090<br><br> <br><br>书目名称Handbuch Policy-Forschung读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0423090<br><br> <br><br>
HIKE
发表于 2025-3-21 21:15:12
http://reply.papertrans.cn/43/4231/423090/423090_2.png
Acquired
发表于 2025-3-22 02:27:53
http://reply.papertrans.cn/43/4231/423090/423090_3.png
脱落
发表于 2025-3-22 06:43:03
http://reply.papertrans.cn/43/4231/423090/423090_4.png
随意
发表于 2025-3-22 11:16:42
http://reply.papertrans.cn/43/4231/423090/423090_5.png
BLANK
发表于 2025-3-22 15:16:58
Steffen Ganghof,Kai Schulze scale related textures to compensate for more information. Extensive experimental results over multiple datasets demonstrate that our method is better than the baseline model on both quantitative and qualitative evaluations.
grieve
发表于 2025-3-22 17:24:40
http://reply.papertrans.cn/43/4231/423090/423090_7.png
Colonoscopy
发表于 2025-3-23 01:05:44
http://reply.papertrans.cn/43/4231/423090/423090_8.png
ALLAY
发表于 2025-3-23 04:41:57
Detlef Jahnor each one of those that are difficult to predict correctly. After applying our method to data sets, the AUC area of classifiers is improved dramatically. We compare our method with others of the state-of-the-art, using more than 10 data sets.
离开
发表于 2025-3-23 06:41:08
Nicole Herweg,Reimut Zohlnhöferor each one of those that are difficult to predict correctly. After applying our method to data sets, the AUC area of classifiers is improved dramatically. We compare our method with others of the state-of-the-art, using more than 10 data sets.