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Welcome to ICANN 2018

5th – 7th October, 2018, Rhodes, Greece

ENNS LogoThe 27th International Conference on Artificial Neural Networks.
A conference of the European Neural Network Society.

 

NEWS:
Submission deadline extended to: 27th of May 2018.
Link: A Tribute to John G. Taylor by Prof. Robert Kozma (ICANN 2018 Plenary Speaker).


SELECTED PAPERS AMONG THE ACCEPTED ONES WILL BE CONSIDERED FOR PUBLICATION IN THE
“Advanced Computational Intelligence Paradigms in Healthcare” SPRINGER BOOK SERIES.

 

Conference proceedings are published by Springer in Lecture Notes in Computer Science.

Special Issue: The journal NCA (Neural Computing and Applications) published by Springer (Impact factor 2.505) will edit a special issue with selected papers from ICANN 2018.

 

Best paper awards: Two prizes of 500 EUR each, sponsored by Springer, will be awarded to the best papers presented at ICANN 2018.

Aims and scope

The International Conference on Artificial Neural Networks (ICANN) is the annual flagship conference of the European Neural Network Society (ENNS). The ideal of ICANN is to bring together researchers from two worlds: information sciences and neurosciences. The scope is wide, ranging from machine learning algorithms to models of real nervous systems. The aim is to facilitate discussions and interactions in the effort towards developing more intelligent computational systems and increasing our understanding of neural and cognitive processes in the brain.

Conference topics

ICANN 2018 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:

ICANN 2018 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

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