会议信息

ICOAI 2026: International Conference on Artificial Intelligence

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截稿日期:
2026-08-20 已截稿
通知日期:
2026-09-05
会议日期:
2026-09-25
会议地点:
Paris, France
届数:
13
主办方:
浏览: 7449   关注: 0   参加: 0
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会伴指数 (CP-I)

49.1 / 100
全站第 1,884 名 / 共 5,721 个会议 · 前 33%

人工智能与机器学习 第 200 / 743

学术认可 (35%) 无数据 —— 按中性基准 50 分计入 —
投稿选择性 (20%) 无数据 —— 按中性基准 50 分计入 —
会议传承 (20%)
71
社区关注 (10%)
21
资料公开度 (15%)
35

用到的输入: 有据可查的届次：13 · 过去 24 个月打开过本页的研究者：16 人

公开资料里还缺: 历年录用率 (+4.5) · 历届信息 (+3.0) · 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 45% —— 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 1.2 · 算于 2026-10-18

征稿

ICOAI 2026 (International Conference on Artificial Intelligence) is an academic conference held in Paris, France on 2026-09-25. The paper submission deadline is 2026-08-20 (extended). Acceptance notifications are sent on 2026-09-05.

Topics of interest for submission include, but are not limited to: Track 1: Foundations of AI and Computational Intelligence - Artificial Intelligence in Scheduling and Optimization - Cognitive Systems and Applications - Collective Intelligence and Game Theory - Differential Evolution and Evolutionary Design - Knowledge Engineering and Modeling - Search and Constraint Satisfaction Track 2: Machine Learning, Deep Learning, and Data Science - Deep Learning and Neural Networks - Machine Learning and Probabilistic Inference - Reinforcement Learning and Bayesian Networks - Large Language Models and Generative AI - Foundation Models - Data Mining and Big Data Analytics Track 3: Cognitive Systems, Human-AI Interaction, and Linguistics - Natural Language Processing - Speech and Dialogue Systems - Human–Computer Interaction and Multimodal Interaction - Brain-Machine Interfaces - Cognitive Computing - Intelligent Tutoring Systems Track 4: AI Hardware, Robotics, and Embodied Intelligence - Robotics and Automated Systems - Computer Vision and Perception - Sensor Fusion - Hardware Implementations for AI - Fuzzy Systems for Robotics - Modeling and Identification Track 5: AI Applications and Cross-Disciplinary Research - AI in Healthcare and Bioinformatics - AI in Education - Internet of Things (AIoT) - Intelligent Database Systems and Knowledge Management - AI in Scheduling and Optimization - Multimedia and Arts Track 6: Responsible AI, Ethics, and Trustworthy Systems - Explainable AI and Trustworthy AI - Fairness and Bias - Causality and AI Alignment - Privacy-Preserving Techniques - AI Regulations and Ethics - AI Safety
由 Dunn Carl 最后更新于

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