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Cited article:

Using neural networks to estimate redshift distributions. An application to CFHTLenS

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https://doi.org/10.1093/mnras/stv230

A new methodology to test galaxy formation models using the dependence of clustering on stellar mass

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Monthly Notices of the Royal Astronomical Society 452 (1) 852 (2015)
https://doi.org/10.1093/mnras/stv1315

A hybrid ensemble learning approach to star–galaxy classification

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Monthly Notices of the Royal Astronomical Society 453 (1) 507 (2015)
https://doi.org/10.1093/mnras/stv1608

Evolution of the H β + [O iii] and [O ii] luminosity functions and the [O ii] star formation history of the Universe up toz ∼ 5 from HiZELS

A. A. Khostovan, D. Sobral, B. Mobasher, et al.
Monthly Notices of the Royal Astronomical Society 452 (4) 3948 (2015)
https://doi.org/10.1093/mnras/stv1474

Probing the accelerating Universe with redshift-space distortions in VIPERS

Sylvain de la Torre
Proceedings of the International Astronomical Union 11 (S308) 617 (2014)
https://doi.org/10.1017/S1743921316010693

The XMM-LSS survey: the Class 1 cluster sample over the extended 11 deg2 and its spatial distribution

N. Clerc, C. Adami, M. Lieu, et al.
Monthly Notices of the Royal Astronomical Society 444 (3) 2723 (2014)
https://doi.org/10.1093/mnras/stu1625

The formation and build-up of the red-sequence over the past 9 Gyr in VIPERS

Alexander Fritz
Proceedings of the International Astronomical Union 10 (S309) 313 (2014)
https://doi.org/10.1017/S1743921314010096

Sparse representation of photometric redshift probability density functions: preparing for petascale astronomy

Matias Carrasco Kind and Robert J. Brunner
Monthly Notices of the Royal Astronomical Society 441 (4) 3550 (2014)
https://doi.org/10.1093/mnras/stu827

Combining Dark Energy Survey Science Verification data with near-infrared data from the ESO VISTA Hemisphere Survey

M. Banerji, S. Jouvel, H. Lin, et al.
Monthly Notices of the Royal Astronomical Society 446 (3) 2523 (2014)
https://doi.org/10.1093/mnras/stu2261

The Atacama Cosmology Telescope: CMB polarization at 200 < ℓ < 9000

Sigurd Naess, Matthew Hasselfield, Jeff McMahon, et al.
Journal of Cosmology and Astroparticle Physics 2014 (10) 007 (2014)
https://doi.org/10.1088/1475-7516/2014/10/007

Disentangling interacting dark energy cosmologies with the three-point correlation function

Michele Moresco, Federico Marulli, Marco Baldi, Lauro Moscardini and Andrea Cimatti
Monthly Notices of the Royal Astronomical Society 443 (4) 2874 (2014)
https://doi.org/10.1093/mnras/stu1359