会议信息

MIWAI 2025: Multi-Disciplinary International Conference on Artificial Intelligence

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MIWAI
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截稿日期:
2025-08-25
通知日期:
2025-09-01
会议日期:
2025-12-03
会议地点:
Ho Chi Minh City, Vietnam
届数:
18
浏览: 32387   关注: 2   参加: 1

会伴指数 (CP-I)

50.5 / 100
全站第 1,498 名 / 共 5,693 个会议 · 前 27%

人工智能与机器学习 第 144 / 742

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%)
79
社区关注 (10%)
19
资料公开度 (15%)
35

用到的输入: 有据可查的届次：18 · 在会伴关注它的研究者：2 人 · 过去 24 个月打开过本页的研究者：2 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 1.1 · 算于 2026-10-03

征稿

MIWAI 2025 (Multi-Disciplinary International Conference on Artificial Intelligence) is an academic conference held in Ho Chi Minh City, Vietnam on 2025-12-03. The paper submission deadline is 2025-08-25. Acceptance notifications are sent on 2025-09-01.

Artificial intelligence is a broad area of research. We encourage researchers to submit papers in the following areas but not limited to: Scope and Topics Machine Learning & Deep Learning Neural networks and representation learning Reinforcement learning and decision-making Explainable AI and trustworthy ML Natural Language Processing & Speech Recognition Large language models and generative AI Multimodal AI and human-AI interaction Sentiment analysis and discourse modeling Computer Vision & Image Processing Object detection and scene understanding Medical imaging and biometrics AI-driven creative applications (e.g., art, design, and multimedia) Robotics & Autonomous Systems AI for robotics and intelligent automation Multi-agent systems and swarm intelligence Human-robot interaction AI for Society, Ethics & Applications AI for healthcare, finance, and smart cities Ethical AI, bias mitigation, and fairness AI-driven education and learning analytics AI Theory & Algorithms Computational intelligence and optimization Knowledge representation and reasoning Probabilistic modeling and uncertainty in AI Agentic AI Defining agency in AI Reinforcement learning in agentic AI systems Multi-agent coordination and negotiation strategies Handling uncertainty and risk in agentic AI decision-making Large Language Model Interpretability and Explainability Alignment and Safety Multilingual & Cross-Lingual Learning Agentic AI with LLM
由 Dou Sun 最后更新于

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