Connectionists: Deadline extended: Special Session on Astroinformatics at ESANN 2018

[Michael Biehl]

*Deadline extension: *

*Special Session at ESANN 2018*
26th European Symposium on Artificial Neural Networks,
Computational Intelligence and Machine Learning
Bruges/Belgium, April 25-27 2017.

*Machine Learning and Data Analysis in Astroinformatics*

*Organized by M. Biehl, K. Bunte (University of Groningen, The
Netherlands), **G. Longo (University of Naples, Italy), P. Tino (University
of Birmingham, UK) *

The ever-growing amount of data which becomes available in many domains
clearly requires the development of efficient methods for data mining and
analysis. These challenges occur in a variety of areas including societal
issues, business and fundamental scientific research.

Astronomy continuous to be at the forefront of this development: Modern
observational techniques provide enormous amounts of data, which have to be
processed efficiently. The development of methods for their reliable
acquisition and analysis has immediate impact on other areas including
commercial applications, data security, environmental monitoring etc.

This special session is meant to attract researchers who develop,
investigate or apply methods of neural networks, machine learning and data
analysis in the context of astronomical data.

Potential topics include, but are not limited to

   - big data mining in astronomy
   - the processing of astronomical images
   - filtering techniques for streams of astronomical data
   - outlier and novelty detection in observational data
   - classification or clustering of celestial objects
   - simulation of astrophysical models and related
   - inference problems
   - the analysis of heterogeneous data stemming from
   - various sources or technical platforms

Important dates:
Submission of papers: *27 November 2017*
Notification of acceptance: 31 January 2018
ESANN conference: 25 - 27 April 2018

More information can be found at

http://www.elen.ucl.ac.be/esann/index.php?pg=specsess#astroinformatics

http <https://www.elen.ucl.ac.be/esann>://www.esann.org

-- 
<http://www.esann.org/>
<http://www.esann.org/>
<http://www.esann.org/>
<http://www.esann.org/>
----------------------------------------------------------

Prof. Dr. Michael Biehl
Johann Bernoulli Institute for
Mathematics and Computer Science
P.O. Box 407, 9700 AK Groningen
The Netherlands

Tel. +31 50 363 3997

<http://www.esann.org/>
<http://www.esann.org/>www.cs.rug.nl/~biehl
m.biehl at rug.nl
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