Conference Information
ICANN 2019: International Conference on Artificial Neural Networks
https://e-nns.org/icann2019/
Submission Date:
2019-04-05 Extended
Notification Date:
2019-05-01
Conference Date:
2019-09-17
Location:
Munich, Germany
Years:
28
CCF: c   CORE: b   QUALIS: b1   Viewed: 24156   Tracked: 123   Attend: 34

Conference Location
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Call For Papers
ICANN 2019 will feature two main tracks: Brain inspired computing and Machine learning research, with strong cross-disciplinary interactions and applications. All research fields dealing with Neural Networks will be present at the Conference with emphasis on “Neural Coding”, “Decision Making” and “Unsupervised Learning”.

Scheduled Sessions are:
1. Theoretical Neural Computation
2. Information and Optimization
3. From Neurons to Neuromorphism
4. Spiking Dynamics
5. From Single Neurons to Networks
6. Complex Firing Patterns
7. Movement and Motion
8. From Sensation to Perception
9. Object and Face Recognition
10. Reinforcement Learning
11. Deep Learning
– Convolutional Neural Networks
– Deep Learning in Real Time Systems
– Deep Learning and Big Data Analytics
– Deep Learning and Big Data
– Deep Learning and Forensics
– Deep Learning and Cybersecurity
– Deep Learning and Social Networks
12. Evolving Systems – Optimization
13. Learning
– Machine Learning for BioMedical systems
– Machine Learning and Video – Image Processing
– Machine Learning and Forensics
– Machine Learning and Cybersecurity
– Machine Learning and Social Media
– Machine Learning in Engineering
14. Bayesian and Echo State Networks
15. Recurrent Neural Networks and Reservoir Computing
16. Coding Architectures
17. Interacting with The Brain
18. Swarm Intelligence and Decision-Making
19. Multilayer Perceptrons and Kernel Networks
20. Training and Learning
21. Inference and Recognition
22. Support Vector Machines
23. Self-Organizing Maps and Clustering
24. Clustering, Mining and Exploratory Analysis
25. Bioinformatics
26. Time Series and Forecasting
Last updated by Yinxu Pan in 2019-04-06
Acceptance Ratio
YearSubmittedAcceptedAccepted(%)
200647520843.8%
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Related Journals
CCFFull NameImpact FactorPublisherISSN
bNeural Networks7.197ELSEVIER0893-6080
Artificial Intelligence and Law Springer0924-8463
cArtificial Life2.282MIT Press1064-5462
aArtificial Intelligence3.034ELSEVIER0004-3702
Artificial Intelligence Review1.213Springer0269-2821
cWireless Networks0.958Springer1022-0038
IEEE Transactions on Learning Technologies1.283IEEE1939-1382
cAd Hoc Networks3.151ELSEVIER1570-8705
Archives and Museum Informatics Springer1042-1467
International Journal of Distributed Sensor Networks1.787Hindawi1550-1329
Full NameImpact FactorPublisher
Neural Networks7.197ELSEVIER
Artificial Intelligence and Law Springer
Artificial Life2.282MIT Press
Artificial Intelligence3.034ELSEVIER
Artificial Intelligence Review1.213Springer
Wireless Networks0.958Springer
IEEE Transactions on Learning Technologies1.283IEEE
Ad Hoc Networks3.151ELSEVIER
Archives and Museum Informatics Springer
International Journal of Distributed Sensor Networks1.787Hindawi
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