ICANN 2019 - 28th International Conference on Artificial Neural Networks

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 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
DEEP LEARNING
Neural Network Theory
Neural Network Models
Graphical Models
Bayesian Networks
Kernel Methods
Generative Models
Information Theoretic Learning
Reinforcement Learning
Relational Learning
Dynamical Models
Recurrent Networks.
BRAIN INSPIRED COMPUTING
Cognitive models
Computational Neuroscience
Self-organisation
Reinforcement Learning
Neural Control and Planning
Hybrid Neural-Symbolic Architectures
Neural Dynamics
NEURAL APPLICATIONS FOR
Bioinformatics
Biomedicine
Intelligent Robotics
Neurorobotics
Language Processing
Image Processing
Sensor Fusion
Pattern Recognition
Data Mining
Neural Agents
Brain-Computer Interaction
Neural Hardware
Evolutionary Neural Networks
SPECIAL SESSION (BIGCHEM)
Big Data analysis in chemistry
Chemoinformatics
Use of deep learning to predict molecular properties
Drug-discovery
Modelling and prediction of chemical reaction data
Synthetic route prediction
Structure generation
Molecular dynamics simulations and quantum chemistry