A. Boucaud, M. Huertas-Company, C. Heneka, E. E. O. Ishida, N. Sedaghat, R. S. de Souza, B. Moews, H. Dole, M. Castellano, E. Merlin et al. (including: A. M. M. Trindade), 2020,
Photometry of high-redshift blended galaxies using deep learning,
Monthly Notices of the Royal Astronomical Society, 491, 2481 - 2495
>> Abstract

T. Cantat-Gaudin, A. Krone-Martins, N. Sedaghat, A. Farahi, R. S. de Souza, R. Skalidis, A. I. Malz, S. Macêdo, B. Moews, C. Jordi et al. (including: A. M. M. Trindade), 2019,
Gaia DR2 unravels incompleteness of nearby cluster population: new open clusters in the direction of Perseus,
Astronomy & Astrophysics, 624, 17
>> Abstract

A. M. M. Trindade, A. C. da Silva, 2017,
Effect of primordial non-Gaussianities on galaxy clusters scaling relations,
Monthly Notices of the Royal Astronomical Society, 469, 9
>> Abstract

M. Sasdelli, E. E. O. Ishida, R. Vilalta, M. Aguena, V. C. Busti, H. Camacho, A. M. M. Trindade, F. Gieseke, R. S. de Souza, Y. Fantaye, P. A. Mazzali, 2016,
Exploring the spectroscopic diversity of Type Ia supernovae with DRACULA: a machine learning approach,
Monthly Notices of the Royal Astronomical Society, 461, 2044 - 2059
>> Abstract

P. P. Avelino, T. Barreiro, C. S. Carvalho, A. C. da Silva, F. S. N. Lobo, P. Martín-Moruno, J. P. Mimoso, N. J. Nunes, D. Rubiera-Garcia, D. Sáez Gómez et al. (including: L. Sousa, I. Tereno, A. M. M. Trindade), 2016,
Unveiling the Dynamics of the Universe,
Symmetry, 8
>> Abstract

E. E. O. Ishida, S. D. P. Vitenti, M. Penna-Lima, J. Cisewski-kehe, R. S. de Souza, A. M. M. Trindade, E. Cameron, V. C. Busti, G. Östlin, 2015,
COSMOABC: Likelihood-free inference via Population Monte Carlo Approximate Bayesian Computation,
Astronomy and Computing, 13, 1 - 11
>> Abstract