Conference Information
ICANN 2024: International Conference on Artificial Neural Networks
https://e-nns.org/icann2024/Submission Date: |
2024-03-15 |
Notification Date: |
2024-05-15 |
Conference Date: |
2024-09-17 |
Location: |
Lugano-Viganello, Switzerland |
Years: |
33 |
CCF: c CORE: b QUALIS: b1 Viewed: 89588 Tracked: 286 Attend: 90
Call For Papers
ICANN 2024 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 Theory and Foundations of Neural Networks NN Convergence and Generalization, Loss Landscape Analysis Novel Neural Network Architectures Innovation in Recurrent and Transformer Architectures, Dynamical Models, Physically Informed NNs, Novel Learning Algorithms Topics in Neural Networks Generative Networks, Adaptation and Transfer Learning, Zero-Shot Learning, Lifelong learning, Knowledge Distillation, Representation Learning, Self-Supervised Learning, Contrastive Learning Large Language Models Innovation in Large Language Models Explainable AI Local and Global Explanations, Feature Attribution, Saliency Methods, Circuits, Counterfactuals Graph Methods, Graph Neural Networks, and Clustering Bayesian Networks, Graph neural networks Reinforcement Learning Deep Reinforcement Learning, Policy Gradients, Actor-Critic Methods, Artificial Curiosity Topics in Artificial Intelligence and Machine Learning Statistical Methods, Kernel Methods, Information Theoretic Learning, Ethics of AI, Conscious AI Bio-inspired Computing Brain-Inspired Computing Cognitive Models, Self-organization, Spiking Neural Networks, Hybrid Neural-Symbolic Architectures, Reservoir Computing, Neuromorphic Computing Cognitive and Theoretical/Computational Neuroscience Brain Informatics, Neural Dynamics, Neural Control and Planning, Cognitive Models, Biophysical models, Learning algorithms Applications Human-Computer Interaction Biosignal Processing, Medicine and Physiology Speech and Language Processing Computer Vision Robotics General Applications of Machine Learning Climate and Environment
Last updated by Dou Sun in 2024-03-07
Acceptance Ratio
Year | Submitted | Accepted | Accepted(%) |
---|---|---|---|
2006 | 475 | 208 | 43.8% |
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Related Journals
CCF | Full Name | Impact Factor | Publisher | ISSN |
---|---|---|---|---|
b | Neural Networks | 8.050 | Elsevier | 0893-6080 |
Artificial Intelligence and Law | Springer | 0924-8463 | ||
c | Artificial Life | 2.282 | MIT Press | 1064-5462 |
Computers and Composition | Elsevier | 8755-4615 | ||
International Journal of Intelligent Engineering and Systems | Intelligent Networks and Systems Society | 2185-310X | ||
a | Artificial Intelligence | 9.088 | Elsevier | 0004-3702 |
Artificial Intelligence Review | 1.213 | Springer | 0269-2821 | |
c | Wireless Networks | 2.602 | Springer | 1022-0038 |
Journal of Optical Communications and Networking | 2.183 | OSA Publishing | 1943-0620 | |
c | Ad Hoc Networks | 4.111 | Elsevier | 1570-8705 |
Full Name | Impact Factor | Publisher |
---|---|---|
Neural Networks | 8.050 | Elsevier |
Artificial Intelligence and Law | Springer | |
Artificial Life | 2.282 | MIT Press |
Computers and Composition | Elsevier | |
International Journal of Intelligent Engineering and Systems | Intelligent Networks and Systems Society | |
Artificial Intelligence | 9.088 | Elsevier |
Artificial Intelligence Review | 1.213 | Springer |
Wireless Networks | 2.602 | Springer |
Journal of Optical Communications and Networking | 2.183 | OSA Publishing |
Ad Hoc Networks | 4.111 | Elsevier |
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