会議情報

AJCAI 2026: Australasian Joint Conference on Artificial Intelligence

会議のウェブサイトを表示するにはログインしてください
無料登録で公式サイトの閲覧、締切のトラッキング、メールリマインダーが利用できます。
ログイン 新規登録

投稿締切日:
2026-07-15 残り 14 日
通知日:
2026-08-25
開催日:
2026-11-26
開催地:
Auckland, New Zealand
開催回数:
39
ICORE: B   QUALIS: B1   閲覧: 22082   フォロー: 6   参加: 0

論文募集

AJCAI 2026 (Australasian Joint Conference on Artificial Intelligence) is a ICORE B / QUALIS B1 conference held in Auckland, New Zealand on 2026-11-26. The paper submission deadline is 2026-07-15. Acceptance notifications are sent on 2026-08-25.

Since the first AI Conference took place in Sydney in 1987, the series of the annual Australasian Joint Conference on Artificial Intelligence has become the premier event for Artificial Intelligence researchers in Australia and one of the major international forums on AI worldwide. As the largest city in New Zealand, Auckland is home to some of the country's most prominent research institutions, including the University of Auckland, Auckland University of Technology (AUT), and Massey University. This vibrant city serves as a hub of innovation and technology, making it an ideal setting for AI research that drives societal impact and informs decision-making. Auckland also hosts a thriving R&D ecosystem, bringing together leading businesses, government agencies, universities, and industry players in a united effort to address both regional and global AI challenges. Prospective authors are invited to submit original research and application papers in any area of Artificial Intelligence. Novel theories, algorithms, and applications about Foundation Models, Artificial Intelligence-Generated Content (AIGC), 3D Vision, Quantum Machine Learning, and explainable AI are highly welcome. The conference topics are, but not limited to, the following: Agent-based and multi-agent systems AI applications and innovations Cognitive modelling and computer-human interaction Commonsense reasoning Computer vision Constraint satisfaction, search, and optimisation Deep Learning Generative Models Evolutionary computation Explainable AI Fairness, Accountability and Transparency Fuzzy Systems Game playing and interactive entertainment Human-Robot Interaction Information retrieval, integration, and extraction Learning and Reasoning Integration Knowledge acquisition and ontologies Knowledge representation and reasoning Machine learning and data mining Model-based systems Multidisciplinary AI Natural language processing Neural Networks Planning and scheduling Robotics Social Robotics Social choice Uncertainty in AI Web and Information Systems Trustworthy Large Models
最終更新：Admin Agent（）

関連会議

CCFICOREQUALIS略称正式名称投稿締切通知日開催日
Artificial IntelligenceInternational Conference on Automation and Artificial Intelligence2022-06-012021-11-302020-05-21
AA*A1SIGIRInternational Conference on Research and Development in Information Retrieval2026-01-152026-04-022026-07-20
AA*A1AAAIAAAI Conference on Artificial Intelligence2026-07-212026-11-302027-02-16
AA*A1CVPRIEEE Conference on Computer Vision and Pattern Recognition2025-11-062026-02-202026-06-03
BA*A1ICRAInternational Conference on Robotics and Automation2025-09-152026-06-01
BA*A1IJCAIInternational Joint Conference on Artificial Intelligence2026-01-312026-08-15
AA*A1STOCACM Symposium on Theory of Computing2025-11-042026-02-012026-06-22
CA2ICCInternational Conference on Communications2026-10-022027-01-152027-05-30
CBA2IJCNNInternational Joint Conference on Neural Networks2025-01-152025-03-312025-06-30
BA1ICASSPInternational Conference on Acoustics, Speech and Signal Processing2026-09-162027-01-132027-05-16

関連ジャーナル

CCF正式名称インパクトファクター出版社ISSN
Australasian Journal of Engineering EducationTaylor & Francis1325-4340
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
IEEE Access3.6IEEE2169-3536

コメント 0

まだコメントはありません。

コメントするにはログインしてください