crusade
发表于 2025-3-21 19:12:04
书目名称Kant’s Transcendental Deduction影响因子(影响力)<br> http://impactfactor.cn/if/?ISSN=BK0541870<br><br> <br><br>书目名称Kant’s Transcendental Deduction影响因子(影响力)学科排名<br> http://impactfactor.cn/ifr/?ISSN=BK0541870<br><br> <br><br>书目名称Kant’s Transcendental Deduction网络公开度<br> http://impactfactor.cn/at/?ISSN=BK0541870<br><br> <br><br>书目名称Kant’s Transcendental Deduction网络公开度学科排名<br> http://impactfactor.cn/atr/?ISSN=BK0541870<br><br> <br><br>书目名称Kant’s Transcendental Deduction被引频次<br> http://impactfactor.cn/tc/?ISSN=BK0541870<br><br> <br><br>书目名称Kant’s Transcendental Deduction被引频次学科排名<br> http://impactfactor.cn/tcr/?ISSN=BK0541870<br><br> <br><br>书目名称Kant’s Transcendental Deduction年度引用<br> http://impactfactor.cn/ii/?ISSN=BK0541870<br><br> <br><br>书目名称Kant’s Transcendental Deduction年度引用学科排名<br> http://impactfactor.cn/iir/?ISSN=BK0541870<br><br> <br><br>书目名称Kant’s Transcendental Deduction读者反馈<br> http://impactfactor.cn/5y/?ISSN=BK0541870<br><br> <br><br>书目名称Kant’s Transcendental Deduction读者反馈学科排名<br> http://impactfactor.cn/5yr/?ISSN=BK0541870<br><br> <br><br>
pancreas
发表于 2025-3-21 22:10:30
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种子
发表于 2025-3-22 00:47:21
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供过于求
发表于 2025-3-22 06:02:20
Synthese Libraryhttp://image.papertrans.cn/k/image/541870.jpg
最小
发表于 2025-3-22 10:51:19
https://doi.org/10.1007/978-94-015-8020-5Cartesian; Immanuel Kant; Interpretation; bibliography; concept; history; history of literature; interpret;
FANG
发表于 2025-3-22 14:36:44
978-90-481-4114-2Springer Science+Business Media Dordrecht 1992
Cumulus
发表于 2025-3-22 21:04:37
Kant’s Transcendental Deduction978-94-015-8020-5Series ISSN 0166-6991 Series E-ISSN 2542-8292
繁重
发表于 2025-3-23 00:39:47
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Ornithologist
发表于 2025-3-23 04:55:23
0166-6991 to the discussion ofmost of thedisputed issues in the history of Deductioninterpretation.Controversial in its conclusions, this book demandsthe attention ofall who take seriously the task of understandingKant‘s work andevaluating it dispassionately. .978-90-481-4114-2978-94-015-8020-5Series ISSN 0166-6991 Series E-ISSN 2542-8292
synovitis
发表于 2025-3-23 07:44:37
scans of the brain as a graph, where different regions in the images are represented by nodes and edges connect adjacent regions. We apply several variations of GNNs for the automatic segmentation of brain tumors from MRI scans. Our results show GNNs give reasonable performance on the task and allow