@incollection{ESANNSpecialSession2018,
author = {Michael Biehl and Kerstin Bunte and Giuseppe Longo and Peter Ti\~no},
title = {Machine Learning and Data Analysis in Astroinformatics},
editor = {Michel Verleysen},
booktitle = {26th European Symp. on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN)},
booktitle2 = {26th European Symposium on Artificial Neural Networks, {ESANN} 2018, Bruges, Belgium, April 25-27, 2018},
publisher = {D-side},
address = {Bruges, Belgium},
year = {2018},
pages = {307--113},
month = {April 25-27},
isbn = {978-287-587-047-6"},
url = {http://www.elen.ucl.ac.be/Proceedings/esann/esannpdf/es2018-2.pdf},
abstract = {Astroinformatics is a new discipline at the cross-road of astronomy, advanced statistics and computer science. With next generation sky surveys, space missions and modern instrumentation astronomy will enter the Petascale regime raising the demand for advanced computer science techniques with hard- and software solutions for data management, analysis, efficient automation and knowledge discovery. This tutorial reviews important developments in astroinformatics over the past years and discusses some relevant research questions and concrete problems. The contribution ends with a short review of the special session papers in these proceedings, as well as perspectives and challenges for the near future.},
biburl = {https://dblp.org/rec/conf/esann/BiehlBLT18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org},
note = {Special Session at ESANN 2018 : Machine Learning and Data Analysis in Astroinformatics ; Conference date: 25-04-2018 Through 27-04-2018"},
language1 = {English"},
}