AAAI每年举办的年会(AAAI Conference on Artificial Intelligence)是人工智能领域的顶级会议,吸引了全球范围内的人工智能研究者、学者和产业界人士参与。该会议涵盖了人工智能的多个方面,包括机器学习、自然语言处理、计算机视觉、数据挖掘等,为学术界与产业界提供了交流和合作的平台。 影响因子的...
1. IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 影响因子(IF)值:51.98 2. Annual Conference on Neural Information Processing Systems (NeurIPS) 影响因子(IF)值:33.49 3. International Conference on Computer Vision (ICCV) 影响因子(IF)值:32.51 4. European Conference on Computer Vis...
|序号|刊物名称|刊物全称|出版社|地址| |--|--|---|--|--| |1|AAAI|AAAI Conference on Artificial Intelligence|AAAI|http://dblp.uni-trier.de/db/conf/aaai/|2|NeurIPS|Annual Conference on Neural Information Processing Systems|MIT Press|http://dblp.uni-trier.de/db/conf/nips/| |3|ACL|Ann...
Software Publisher H-Index 75 Publication type Conferences and Proceedings ISSN - Coverage - Information Homepage Scope The Thirtieth AAAI Conference on Artificial Intelligence (AAAI-16) will be held February 12–17 at the Phoenix Convention Center, Phoenix, Arizona, USA. Please note the alternate da...
Journal : Proceedings of the AAAI Conference on Artificial Intelligence Url:https://ojs.aaai.org/...
a journal is considered primary research and therefore "citable", this chart shows the ratio of a journal's articles including substantial research (research articles, conference papers and reviews) in three year windows vs. those documents other than research articles, reviews and conference papers...
The Hybrid Conference will provide the authors of all accepted papers with the opportunity to present their paper either Physically (on-site), at the venue of the Conference, or Remotely (on-line) It is really important to follow the instructions in this page to ensure that your paper will ...
ConferenceApproximate submission time IJCAI (to 2022) 1.14~2.15 ICML (to 2022) 1.23~2.24 KDD (to 2022) 2.3~2.17 CIKM (to 2021) 5.15~5.26 NeurIPS (to 2021) 5.18~6.5 ICDM (to 2021) 6.5~6.17 WSDM (to 2022) 7.17~8.16 AAAI (to 2022) 9.5~9.15 ICLR (to 2022) 9.25~10.27 WWW (to 2022...
CV方向，作为审稿人（自己没投稿），自己和其他三个审稿人给高分的挂了（特别迷惑）。然后一个很水的...
Journal : Proceedings of the AAAI Conference on Artificial Intelligence Url: ojs.aaai.org/index.php/ Abstract: A key challenge in federated learning (FL) is the statistical heterogeneity that impairs the generalization of the global model on each client. To address this, we propose a method Fede...