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- IEEE Transactions on Neural Networks and Learning Systems
The IEEE Transactions on Neural Networks and Learning Systems publishes technical articles that deal with the theory, design, and applications of neural networks and related learning systems
- TNNLS投稿说明-CSDN博客
每个期刊首次投稿有许多注意事项，如果没有按照要求来，很可能导致论文评审周期变长，甚至被拒稿，因此这里介绍一下TNNLS投稿须知。
- TNNLS和Neural Networks哪个更难？ - 知乎
同一篇文章，投 tnnls 被拒了（第一次给结果差不多2个月时间）；根据意见修改投了nn，三轮接受（加起来时间差不多4个月）。 个人从审稿意见来看，tnnls还是明显好于nn的，创新性要求更高。
- IEEE Transactions on Neural Networks and Learning Systems期刊投稿模板及要求
IEEE Transactions on Neural Networks and Learning Systems（简称《TNNLS》）是神经网络与机器学习领域的顶刊，2024年的影响因子达到8 9，该期刊聚焦神经网络、深度学习、强化学习及学习系统的理论与应用，涵盖模式识别、计算机视觉、自然语言处理及智能系统。
- IEEE Transactions on Neural Networks and Learning Systems
IEEE Transactions on Neural Networks and Learning Systems （简称“IEEE TNNLS”）期刊是电气与电子工程师协会 (IEEE)旗下的人工智能领域顶级期刊、中科院SCI一区TOP期刊，中国计算机学会 (CCF)推荐期刊，文章录用率为17 2%。
- Yufeng Yue | 岳裕丰
IEEE Transactions on Neural Networks and Learning Systems (TNNLS) 2023 [PDF] [IEEE] [Code] PA3DNet: 3-D Vehicle Detection with Pseudo Shape Segmentation and Adaptive Camera-LiDAR Fusion Meiling Wang, Lin Zhao , Yufeng Yue*, IEEE Transactions on Industrial Informatics (TII) 2023 [IEEE] [Code]
- TNNLS Information for Authors - IEEE
Authors will be asked to confirm that the work being submitted has not been published elsewhere nor is it currently under review by another publication If either of these conditions is not met or is subsequently violated, the article will be disqualified from possible publication in TNNLS
- Jianwen Xies Homepage
-- IEEE Transactions on Neural Networks and Learning Systems (TNNLS) 2022 (an expanded version of the NeurIPS 2020 workshop paper on machine learning for autonomous driving)
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