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ISAI' 2027: International Symposium on AI

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ISAI'
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截稿日期:
2026-12-05 还有 77 天
通知日期:
2027-01-05
会议日期:
2027-04-23
会议地点:
Chengdu, China
届数:
浏览: 10243   关注: 4   参加: 1

会伴指数 (CP-I)

49.8 / 100
全站第 1,617 名 / 共 5,682 个会议 · 前 29%
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%)
56
社区关注 (10%)
29
资料公开度 (15%)
55

用到的输入: 有据可查的届次：7 · 在会伴关注它的研究者：4 人 · 过去 24 个月打开过本页的研究者：5 人

公开资料里还缺: 历年录用率 (+4.5) · 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 2026-09-19

征稿

ISAI' 2027 (International Symposium on AI) is an academic conference held in Chengdu, China on 2027-04-23. The paper submission deadline is 2026-12-05. Acceptance notifications are sent on 2027-01-05.

ISAI 2027, 2027 the 7th International Symposium on AI, will be held in Chengdu, China during April 23-25, 2027. We invite the submission of technical papers for the main technical track of the conference. Submissions should be significant, original, and previously unpublished results on all aspects of artificial intelligence. We especially encourage papers on AI techniques for novel application domains. Topics of interest for submission include, but are not limited to: Track 1. AI and Machine Learning Advances Track Chair: TBA ◆ Deep & Reinforcement Learning Transformer Models & Attention Mechanisms Meta-Learning & Few-Shot Learning Self-Supervised Learning Neural Architecture Search (NAS) ◆ Explainable & Trustworthy AI Interpretability in Deep Learning Bias and Fairness in AI Systems AI Accountability & Regulation Robustness & Adversarial Defense ◆ Optimization & Scalability Distributed & Federated Learning Quantum Machine Learning TinyML & Edge AI Energy-Efficient AI Track 2. Intelligent Systems for Cybersecurity & Data Science Track Chair: TBA ◆ AI-Driven Security Solutions Zero-Day Attack Detection with AI AI in Malware & Phishing Detection AI for Network Intrusion Detection Secure Multi-Agent Systems ◆ Privacy & Trust in AI Homomorphic Encryption & AI Differential Privacy in ML AI for Anomaly Detection Federated Learning for Privacy ◆ Big Data & AI Integration AI for Real-Time Stream Processing Graph Neural Networks for Data Mining AI in Cloud & Edge Data Analytics Scalable AI for IoT Data Track 3. Natural Language Processing and Cognitive Computing Track Chair: TBA ◆ Large Language Models (LLMs) & Beyond Multimodal & Embodied AI Retrieval-Augmented Generation (RAG) AI for Low-Resource Languages LLM Fine-Tuning & Optimization ◆ Knowledge & Reasoning Systems Neuro-Symbolic AI Integration Automated Knowledge Graph Construction Commonsense Reasoning in AI AI for Legal Document Analysis ◆ Speech & Human-AI Interaction Emotion & Sentiment Recognition Conversational AI & Chatbots AI in Virtual & Augmented Reality Accessibility Technologies with NLP Track 4. AI for Industrial and Real-World Applications Track Chair: TBA ◆ AI in Healthcare & Life Sciences Medical Imaging & Diagnostics AI for Drug Discovery Predictive Healthcare Analytics AI in Genomics & Precision Medicine ◆ Autonomous & Robotic Systems Self-Driving Vehicles & Drones AI for Industrial Robotics Swarm Intelligence Human-Robot Collaboration ◆ AI for Smart & Sustainable Systems AI in Energy Grid Optimization Climate Modeling with AI AI for Agriculture & Food Security Smart Manufacturing & Industry 4.0
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