R. Carvajal, I. Matute, J. Afonso, R. P. Norris, K. J. Luken, P. Sánchez-Sáez, P. A. C. Cunha, A. Humphrey, H. Messias, S. Amarantidis et al. (including: H. Miranda, A. Paulino-Afonso, C. Pappalardo), 2023,
Selection of powerful radio galaxies with machine learning,
Astronomy & Astrophysics, 679, 24
>> Abstract

A. Humphrey, P. A. C. Cunha, A. Paulino-Afonso, S. Amarantidis, R. Carvajal, J. M. Gomes, I. Matute, P. Papaderos, 2023,
Improving machine learning-derived photometric redshifts and physical property estimates using unlabelled observations,
Monthly Notices of the Royal Astronomical Society, 520, 305 - 313
>> Abstract

Euclid Collaboration, A. Humphrey, L. Bisigello, P. A. C. Cunha, M. Bolzonella, S. Fotopoulou, K. Caputi, C. Tortora, G. Zamorani, P. Papaderos et al. (including: J. Brinchmann, A. C. da Silva, I. Tereno, C. S. Carvalho), 2023,
Euclid preparation
XXII. Selection of quiescent galaxies from mock photometry using machine learning,
Astronomy & Astrophysics, 671, 36
>> Abstract

A. Humphrey, W. Kuberski, J. Bialek, N. Perrakis, W. Cools, N. Nuyttens, H. Elakhrass, P. A. C. Cunha, 2022,
Machine-learning classification of astronomical sources: estimating F1-score in the absence of ground truth,
Monthly Notices of the Royal Astronomical Society: Letters, 517, L116 - L120
>> Abstract

P. A. C. Cunha, A. Humphrey, 2022,
Photometric redshift-aided classification using ensemble learning,
Astronomy & Astrophysics, 666, 10
>> Abstract

R. Carvajal, I. Matute, J. Afonso, S. Amarantidis, D. D. Barbosa, P. A. C. Cunha, A. Humphrey, 2021,
Exploring New Redshift Indicators for Radio-Powerful AGN,
Galaxies, 9, 86
>> Abstract