Euclid Collaboration, L. Bisigello, M. Massimo, C. Tortora, S. Fotopoulou, V. Allevato, M. Bolzonella, C. Gruppioni, L. Pozzetti, G. Rodighiero et al. (including: P. A. C. Cunha, A. Humphrey, A. C. da Silva, J. Dinis, I. Tereno, C. S. Carvalho), 2024,
Euclid preparation. XLIX. Selecting active galactic nuclei using observed colours,
Astronomy & Astrophysics, 691, 24
>> Abstract

Euclid Collaboration, A. Enia, M. Bolzonella, L. Pozzetti, A. Humphrey, P. A. C. Cunha, W. G. Hartley, F. Dubath, S. Paltani, X. Lopez Lopez et al. (including: J. Brinchmann, A. C. da Silva, J. Dinis, I. Tereno, C. S. Carvalho, C. J. A. P. Martins), 2024,
Euclid preparation. LI. Forecasting the recovery of galaxy physical properties and their relations with template-fitting and machine-learning methods,
Astronomy & Astrophysics, 691, 26
>> Abstract

F. Zhong, N. R. Napolitano, C. Heneka, R. Zambelli, F. E. Bauer, N. Bouche, J. Comparat, Y. Kim, J. Krogager, M. Longhetti et al. (including: A. Humphrey), 2024,
Galaxy Spectra neural Network (GaSNet). II. Using deep learning for spectral classification and redshift predictions,
Monthly Notices of the Royal Astronomical Society, 532, 22
>> Abstract

P. A. C. Cunha, A. Humphrey, J. Brinchmann, S. G. Morais, R. Carvajal, J. M. Gomes, I. Matute, A. Paulino-Afonso, 2024,
Identifying type II quasars at intermediate redshift with few-shot learning photometric classification,
Astronomy & Astrophysics, 687, 20
>> Abstract

Euclid Collaboration, E. Lusso, S. Fotopoulou, M. Selwood, V. Allevato, G. Calderone, C. Mancini, M. Mignoli, M. Scodeggio, L. Bisigello et al. (including: A. Humphrey, J. Brinchmann, J. Dinis, I. Tereno, C. S. Carvalho, C. J. A. P. Martins), 2024,
Euclid preparation. XXXVIII. Spectroscopy of active galactic nuclei with NISP,
Astronomy & Astrophysics, 685
>> Abstract

T. Signor, G. Rodighiero, L. Bisigello, M. Bolzonella, K. Caputi, E. Daddi, G. De Lucia, A. Enia, L. Gabarra, C. Gruppioni et al. (including: A. Humphrey, J. Brinchmann, A. C. da Silva, J. Dinis, I. Tereno), 2024,
Euclid: Identifying the reddest high-redshift galaxies in the Euclid Deep Fields with gradient-boosted trees,
Astronomy & Astrophysics, 685, 18
>> Abstract