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ALIS 2026: Adaptive Learning and Intelligent Systems Conference

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ALIS
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截稿日期:
2025-12-19 Extended
通知日期:
2026-01-21
会议日期:
2026-02-12
会议地点:
Melbourne, Australia
届数:
1
浏览: 767   关注: 0   参加: 0

会伴指数 (CP-I)

37.5 / 100
全站第 5,537 名 / 共 5,682 个会议 · 前 98%

人工智能与机器学习 第 712 / 739

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%)
19
社区关注 (10%)
10
资料公开度 (15%)
35

用到的输入: 有据可查的届次：1 · 过去 24 个月打开过本页的研究者：3 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 2026-09-20

征稿

ALIS 2026 (Adaptive Learning and Intelligent Systems Conference) is an academic conference held in Melbourne, Australia on 2026-02-12. The paper submission deadline is 2025-12-19 (extended). Acceptance notifications are sent on 2026-01-21.

Scope and Topics: We invite high-quality submissions on all areas of AI, with particular emphasis on learning-based and adaptive systems. Topics of interest include, but are not limited to: Generative AI: foundation models, multimodal generative systems, controllability, evaluation, safety Deep Learning Advances: architectures, training methods, interpretability, scalability Graph Neural Networks- based architectures, representations and applications Reinforcement Learning & Control: single-agent, multi-agent, hierarchical RL, safe and explainable RL Large Language Models (LLMs): reasoning, alignment, fine-tuning, efficient deployment, societal impact Quantum Machine Learning, variational quantum algorithms, quantum-enhanced optimization, hybrid quantum–classical models Adaptive Systems: online learning, continual learning, meta-learning, self-improving AI Cognitive & Neurosymbolic AI: hybrid approaches, reasoning and learning integration Trustworthy AI: fairness, robustness, explainability, human-centered design, responsible deployment Applications: healthcare, robotics, education, finance, climate, creative industries
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