EWASS : Astroinformatics From big data to understanding the Universe at Large

When:
29/06/2017 – 30/06/2017 all-day
2017-06-29T00:00:00+02:00
2017-07-01T00:00:00+02:00
Where:
Prague

Programme
Finding hidden correlations in the complex astronomical Big Data
Challenges of spatial queries in peta-scale surveys
Massively parallel data mining in huge distributed databases
Scientific visualisation of complex many-dimensional data sets
Standardization of meta-data for better science
Advanced statistical inference in cosmology
Real time transient detection and classification
Applications of machine learning for source classification and clustering
Deep neural networks for feature extraction and image classification
Active learning and Domain Adaptation
Interdisciplinary panel discussions

URL : http://eas.unige.ch/EWASS/session.jsp?year=2017&id=S14