30 citations · 39 across the 5 of their papers we have counts for
6 papers
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…
Automated novelty detection in the WISE survey with one-class support vector machines
A. Solarz, M. Bilicki, M. Gromadzki +3
Wide-angle photometric surveys of previously uncharted sky areas or wavelength regimes will always bring in unexpected sources whose existence and properties cannot be easily predi…
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…
VIPERS: An Unprecedented View of Galaxies and Large-Scale Structure Halfway Back in the Life of the Universe
L. Guzzo, U. Abbas, C. Adami +48
The VIMOS Public Extragalactic Redshift Survey (VIPERS) is an ongoing ESO Large Programme to map in detail the large-scale distribution of galaxies at 0.5 < z <1.2. With a combinat…
Clustering of Far-Infrared Galaxies in the AKARI All-Sky Survey
A. Pollo, T. T. Takeuchi, T. L. Suzuki +1
We present the first measurement of the angular two-point correlation function for AKARI 90-m point sources, detected outside of the Milky Way plane and other regions characteri…