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”.<\/p>\n
Scheduled Sessions are:
\n1. Theoretical Neural Computation
\n2. Information and Optimization
\n3. From Neurons to Neuromorphism
\n4. Spiking Dynamics
\n5. From Single Neurons to Networks
\n6. Complex Firing Patterns
\n7. Movement and Motion
\n8. From Sensation to Perception
\n9. Object and Face Recognition
\n10. Reinforcement Learning
\n11. Deep Learning
\n– Convolutional Neural Networks
\n– Deep Learning in Real Time Systems
\n– Deep Learning and Big Data Analytics
\n– Deep Learning and Big Data
\n– Deep Learning and Forensics
\n– Deep Learning and Cybersecurity
\n– Deep Learning and Social Networks
\n12. Evolving Systems – Optimization
\n13. Learning
\n– Machine Learning for BioMedical systems
\n– Machine Learning and Video – Image Processing
\n– Machine Learning and Forensics
\n– Machine Learning and Cybersecurity
\n– Machine Learning and Social Media
\n– Machine Learning in Engineering
\n14. Bayesian and Echo State Networks
\n15. Recurrent Neural Networks and Reservoir Computing
\n16. Coding Architectures
\n17. Interacting with The Brain
\n18. Swarm Intelligence and Decision-Making
\n19. Multilayer Perceptrons and Kernel Networks
\n20. Training and Learning
\n21. Inference and Recognition
\n22. Support Vector Machines
\n23. Self-Organizing Maps and Clustering
\n24. Clustering, Mining and Exploratory Analysis
\n25. Bioinformatics
\n26. Time Series and Forecasting<\/p>\n\n
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” … Continue reading