Conference Information

ICANN 2026: International Conference on Artificial Neural Networks

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Submission Date:
2026-03-30
Notification Date:
2026-05-29
Conference Date:
2026-09-14
Location:
Padua, Italy
Years:
CCF: C   ICORE: C   QUALIS: B1   Viewed: 334736   Tracked: 293   Attend: 91

Conference Partner Index (CP-I)

78.7 / 100
Ranked #217 of 5,683 conferences · Top 4%

#20 of 740 in Artificial Intelligence & Machine Learning

Academic recognition (35%)
78
Submission selectivity (20%)
62
Editions held (20%)
96
Community attention (10%)
70
Public record completeness (15%)
85

Inputs used: Listed as CCF C, ICORE C, QUALIS B1 · Acceptance rate: 43.8% (mean of 1 editions on file) · Editions on record: 35 · Researchers following it here: 293 · Researchers who opened this page in the past 24 months: 7

Missing from the public record: Best-paper records (+2.3)
Organizers can add these from this page after claiming the conference; scores are recomputed nightly. How to raise this score

Confidence 100% - the share of the score backed by observed data rather than the neutral baseline. How this score is calculated · Browse the ranking · Algorithm version 1.1 · Computed 2026-09-21

Call For Papers

ICANN 2026 (International Conference on Artificial Neural Networks) is a CCF C / ICORE C / QUALIS B1 conference held in Padua, Italy on 2026-09-14. The paper submission deadline is 2026-03-30. Acceptance notifications are sent on 2026-05-29.

Topics ICANN 2026 is a conference featuring tracks in Artificial Intelligence and Machine Learning, Bio-inspired computing, and applications, with strong cross-disciplinary interactions. All research fields dealing with Neural Networks will be present at the conference. A non-exhaustive list of topics includes the following. Artificial Intelligence and Machine Learning Topics of interest include, but are not limited to: 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: Theoretical/Computational Neuroscience Cognitive Neuroscience Brain-Inspired Computing Spike trains neural decoding Functional neuroimaging Neuromorphic Systems Digital Twins and Virtual Brain models Applications: AI in Drug Discovery Human-Computer Interaction Biosignal Processing Medicine and Physiology Speech and Language Processing Computer Vision Robotics Climate and Environment General Applications of Machine Learning
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Acceptance Ratio

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

YearSubmittedAcceptedAccepted(%)
200647520843.8%

Related Journals

CCFFull NameImpact FactorPublisherISSN
BNeural Networks7.2Elsevier0893-6080
Optical Memory and Neural Networks0.8Springer1060-992X
CKnowledge-Based Systems7.2Elsevier0950-7051
CFuture Generation Computer Systems5.9Elsevier0167-739X
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 Intelligence9.0Elsevier0952-1976
CExpert Systems with Applications7.5Elsevier0957-4174

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