Conference Information

ICANN 2025: International Conference on Artificial Neural Networks

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Submission Date:
2025-03-29 Extended
Notification Date:
2025-05-15
Conference Date:
2025-09-09
Location:
Kaunas, Lithuania
Years:
34
CCF: C   CORE: B   QUALIS: B1   Viewed: 285968   Tracked: 293   Attend: 91

Call For Papers

ICANN 2025 (International Conference on Artificial Neural Networks) is a CCF C / CORE B / QUALIS B1 conference held in Kaunas, Lithuania on 2025-09-09. The paper submission deadline is 2025-03-29 (extended). Acceptance notifications are sent on 2025-05-15.

We invite prospective authors to submit original and innovative papers in the following areas: AI and Machine Learning: Theory and Foundations of Neural Networks, Novel Neural Network Architectures, Topics in Neural Networks, Large Language Models, Explainable AI, Machine Learning for Graphs, Graph Neural Networks, Clustering, Reinforcement Learning, New Topics in Artificial Intelligence and Machine Learning, Neurorobotics Neuroscience: Cognitive and Theoretical/Computational Neuroscience, Brain-Inspired Computing, Neuromorphic Systems, Digital Twins and Virtual Brain models Applications: Human-Computer Interaction, Biosignal Processing, Medicine and Physiology, Speech and Language Processing, Computer Vision, Robotics, Climate and Environment, General Applications of Machine Learning
Last updated by Dou Sun on

Acceptance Ratio

Average acceptance rate: 43.8% over 1 years (2006–2006).

YearSubmittedAcceptedAccepted(%)
200647520843.8%

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Related Journals

CCFFull NameImpact FactorPublisherISSN
BNeural Networks6.3Elsevier0893-6080
Optical Memory and Neural Networks0.8Springer1060-992X
CKnowledge-Based Systems7.2Elsevier0950-7051
CFuture Generation Computer Systems6.1Elsevier0167-739X
CNeurocomputing6.5Elsevier0925-2312
CPattern Recognition Letters3.9Elsevier0167-8655
CIEEE Transactions on Industrial Informatics11.7IEEE1551-3203
CIEEE Internet of Things Journal8.9IEEE2327-4662
CEngineering Applications of Artificial Intelligence8.0Elsevier0952-1976
CExpert Systems with Applications7.5Elsevier0957-4174

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