ESANN 2018 : European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning

  in Conferences   Posted on September 17, 2017

Conference Information

Submission Deadline Monday 20 Nov 2017
Conference & Submission Link https://www.elen.ucl.ac.be/esann/index.php?pg=welcome
Conference Dates Apr 25, 2018 - Apr 27, 2018
Conference Address Bruges, Belgium
Proceedings indexed by
Conference Organizers : ( Deadline extended ? Click here to edit )

Conference Ranking & Metrics (This is a TOP Conference)

Google Scholar H5-index: 15
CORE 2017 Rating: B
Guide2Research Overall Ranking: 327
Category Rankings
Machine Learning & Arti. Intelligence 81
Computational Theory and Mathematics 39

Conference Call for Papers

Scope and topics

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 2018 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

Special sessions

Special sessions will be organized by renowned scientists in their respective fields. Papers submitted to these sessions are reviewed according to the same rules as the submissions to the regular sessions. Authors who submit papers to one of these sessions are invited to mention it on the author submission form. Submissions to regular and special sessions follow identical format, instructions, deadlines and procedures.

See the special sessions page for details.

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