ESANN 2020 : European Symposium on Artificial Neural Networks

The 28th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning will take place in Bruges, Belgium from 22 to 24 April 2020 .

This event builds upon a very successful series of conference organized each year since 1993. ESANN has become a major scientific events in the machine learning, computational intelligence and artificial neural networks fields over the years.

The two main tracks are \”Theory and methods\”, and \”Information processing and applications\”. See call for papers for details. In addition, a number of special sessions will be organized, on selected hot topics in the machine learning, computational intelligence and artificial neural networks fields. See special sessions for details.

Bruges is one of the most beautiful medieval towns in Europe. Designated as the \”Venice of the North\”, the city has preserved all the charms of the medieval heritage. Its centre, which is inscribed on the Unesco World Heritage list, is in itself a real open air museum.

Since its first happening in 1993, the European Symposium on Artificial Neural Networks has become the reference for researchers on fundamentals and theoretical aspects of artificial neural networks, computational intelligence, machine learning and related topics. Each year, around 100 specialists attend ESANN, in order to present their latest results and comprehensive surveys, and to discuss the future developments in this field.

The ESANN 2020 conference will follow this tradition, while adapting its scope to the recent developments in the field. The ESANN conferences cover artificial neural networks, machine learning, statistical information processing and computational intelligence. Mathematical foundations, algorithms and tools, and applications are covered.

Papers will be presented orally (single track) and in poster sessions; all posters will be complemented by a short oral presentation during a plenary session. The selection of papers will differentiate between oral and posters presentations according to the topics, and not to the level of quality.

The following is a non-exhaustive list of machine learning, computational intelligence and artificial neural networks topics covered during the ESANN conferences:

Track 1: THEORY and METHODS Track 2: INFORMATION PROCESSING and APPLICATIONS
Statistical and mathematical aspects of learning Data mining
Feedforward models Signal processing and modeling
Kernel machines Approximation and identification
Graphical models, EM and Bayesian learning Classification and clustering
Vector quantization and self-organizing maps Feature extraction and dimension reduction
Recurrent networks and dynamical systems Time series forecasting
Blind signal processing Multimodal interfaces and multichannel processing
Ensemble learning Vision and sensory systems
Nonlinear projection and data visualization Identification of non-linear dynamical systems
Fuzzy neural networks Biometry
Evolutionary computation Bioinformatics
Bio-inspired systems Brain-computer interfaces
Neuroinformatics