STH 发表于 2025-3-21 18:48:44
书目名称Neural Information Processing影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0663631<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=BK0663631<br><br> <br><br>书目名称Neural Information Processing网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0663631<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=BK0663631<br><br> <br><br>书目名称Neural Information Processing被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0663631<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=BK0663631<br><br> <br><br>书目名称Neural Information Processing年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0663631<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=BK0663631<br><br> <br><br>书目名称Neural Information Processing读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0663631<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=BK0663631<br><br> <br><br>抛弃的货物 发表于 2025-3-21 20:41:02
https://doi.org/10.1007/978-981-99-1648-1pattern recognition; signal processing; computer vision; image reconstruction; neural networks; image segOratory 发表于 2025-3-22 00:45:00
http://reply.papertrans.cn/67/6637/663631/663631_3.pngapiary 发表于 2025-3-22 06:28:40
Neural Information Processing978-981-99-1648-1Series ISSN 1865-0929 Series E-ISSN 1865-0937ornithology 发表于 2025-3-22 11:46:44
http://reply.papertrans.cn/67/6637/663631/663631_5.pnggarrulous 发表于 2025-3-22 14:46:31
Automating Patient-Level Lung Cancer Diagnosis in Different Data Regimeseening with low-dose computed tomography detects cancer at an early stage and reduces mortality. However, it requires the tedious work of radiologists to obtain malignancy scores, which additionally are very subjective. That is why many researchers worked on methods automating lung cancer classificaGyrate 发表于 2025-3-22 17:46:30
http://reply.papertrans.cn/67/6637/663631/663631_7.pngCIS 发表于 2025-3-23 00:21:46
Automatically Generating Storylines from Microblogging Platforms automatically generate a storyline from the rich information hidden in microblogging platforms, in this paper, we present an effective solution for generating the storyline from microblog posts. Firstly, primary events are extracted through a social-influence-based event model with the temporal disSeizure 发表于 2025-3-23 03:33:36
Improving Document Image Understanding with Reinforcement Finetuningate the problem of improving the performance of Artificial Intelligence systems in understanding document images, especially in cases where training data is limited. We address the problem by proposing a novel finetuning method using reinforcement learning. Our approach treats the Information Extracoccurrence 发表于 2025-3-23 09:10:58
http://reply.papertrans.cn/67/6637/663631/663631_10.png