30 citations · 48 across the 7 of their papers we have counts for
5 papers · 1 filter
Spectroscopic observations of the machine-learning selected anomaly catalogue from the AllWISE Sky Survey
A. Solarz, R. Thomas, F. M. Montenegro-Montes +7
We present the results of a programme to search and identify the nature of unusual sources within the All-sky Wide-field Infrared Survey Explorer (WISE) that is based on a machine-…
Radio-Infrared Correlation for Local Dusty Galaxies and Dusty AGNs from the AKARI All Sky Survey
A. Solarz, A. Pollo, M. Bilicki +3
We use the new release of the AKARI Far-Infrared all sky Survey matched with the NVSS radio database to investigate the local () far infrared-radio correlation (FIRC) of di…
Search for unusual objects in the WISE Survey
A. Solarz, M. Bilicki, A. Pollo
Automatic source detection and classification tools based on machine learning (ML) algorithms are growing in popularity due to their efficiency when dealing with large amounts of d…
Overview of North Ecliptic Pole Deep multi-wavelength Survey (NEP-Deep)
H. Matsuhara, T. Wada, N. Oi +22
The recent updates of the North Ecliptic Pole deep (0.5~deg, NEP-Deep) multi-wavelength survey covering from X-ray to radio-wave is presented. The NEP-Deep provides us with sev…
Towards automatic classification of all WISE sources
Agnieszka Kurcz, Maciej Bilicki, Aleksandra Solarz +3
The WISE satellite has detected hundreds of millions sources over the entire sky. Classifying them reliably is however a challenging task due to degeneracies in WISE multicolour sp…