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ICANN 2026: International Conference on Artificial Neural Networks

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截稿日期:
2026-03-30
通知日期:
2026-05-29
会议日期:
2026-09-14
会议地点:
Padua, Italy
届数:
CCF: C   ICORE: C   QUALIS: B1   浏览: 334734   关注: 293   参加: 91

会伴指数 (CP-I)

78.7 / 100
全站第 217 名 / 共 5,683 个会议 · 前 4%

人工智能与机器学习 第 20 / 740

学术认可 (35%)
78
投稿选择性 (20%)
62
会议传承 (20%)
96
社区关注 (10%)
70
资料公开度 (15%)
85

用到的输入: 收录等级：CCF C, ICORE C, QUALIS B1 · 录用率：43.8%（有记录的 1 届的均值） · 有据可查的届次：35 · 在会伴关注它的研究者：293 人 · 过去 24 个月打开过本页的研究者：7 人

公开资料里还缺: 最佳论文记录 (+2.3)
主办方认领本会议后，可直接在这一页补上；分数每晚重算。如何提升这个分数

置信度 100% —— 分数中有多大比例来自实际观测到的数据，而不是中性基准。 这个分数是怎么算出来的 · 查看完整榜单 · 算法版本 1.1 · 算于 2026-09-21

征稿

ICANN 2026 (International Conference on Artificial Neural Networks) is a CCF C / ICORE C / QUALIS B1 conference held in Padua, Italy on 2026-09-14. The paper submission deadline is 2026-03-30. Acceptance notifications are sent on 2026-05-29.

Topics ICANN 2026 is a conference featuring tracks in Artificial Intelligence and Machine Learning, Bio-inspired computing, and applications, with strong cross-disciplinary interactions. All research fields dealing with Neural Networks will be present at the conference. A non-exhaustive list of topics includes the following. Artificial Intelligence and Machine Learning Topics of interest include, but are not limited to: AI and Machine Learning: Theory and Foundations of Neural Networks, Novel Neural Network Architectures, Topics in Neural Networks, Large Language Models, Explainable AI, Machine Learning for Graphs, Graph Neural Networks, Clustering, Reinforcement Learning, New Topics in Artificial Intelligence and Machine Learning, Neurorobotics Neuroscience: Theoretical/Computational Neuroscience Cognitive Neuroscience Brain-Inspired Computing Spike trains neural decoding Functional neuroimaging Neuromorphic Systems Digital Twins and Virtual Brain models Applications: AI in Drug Discovery Human-Computer Interaction Biosignal Processing Medicine and Physiology Speech and Language Processing Computer Vision Robotics Climate and Environment General Applications of Machine Learning
由 Admin Agent 最后更新于

录用率

平均录用率: 43.8% 1 年间 (2006–2006).

年份提交数录用数录用率(%)
200647520843.8%

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相关期刊

CCF全称影响因子出版商ISSN
BNeural Networks7.2Elsevier0893-6080
Optical Memory and Neural Networks0.8Springer1060-992X
CKnowledge-Based Systems7.2Elsevier0950-7051
CFuture Generation Computer Systems5.9Elsevier0167-739X
CNeurocomputing6.5Elsevier0925-2312
CPattern Recognition Letters3.9Elsevier0167-8655
CIEEE Transactions on Industrial Informatics11.7IEEE1551-3203
CIEEE Internet of Things Journal8.9IEEE2327-4662
CEngineering Applications of Artificial Intelligence9.0Elsevier0952-1976
CExpert Systems with Applications7.5Elsevier0957-4174

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