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ALIS 2026: Adaptive Learning and Intelligent Systems Conference

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투고 마감일:
2025-12-19 Extended
통보일:
2026-01-21
개최일:
2026-02-12
개최지:
Melbourne, Australia
개최 횟수:
1
조회: 435   팔로우: 0   참가: 0

논문 모집

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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관련 저널

CCF정식 명칭영향력 지수출판사ISSN
Complex Adaptive Systems ModelingSpringer2194-3206
International Journal of Adaptive Control and Signal Processing3.8Wiley0890-6327
AIEEE Transactions on Multimedia9.7IEEE1520-9210
CKnowledge-Based Systems7.2Elsevier0950-7051
BSoftware & Systems Modeling3.2Springer1619-1366
AIEEE Transactions on Computers3.8IEEE0018-9340
CFuture Generation Computer Systems6.1Elsevier0167-739X
CNeurocomputing6.5Elsevier0925-2312
CPattern Recognition Letters3.9Elsevier0167-8655
BPattern Recognition7.6Elsevier0031-3203

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