The overlooked potential of Generalized Linear Models in astronomy-II: Gamma regression and photometric redshifts. - Jonathan Elliott; Rafael S. de Souza; Alberto Krone-Martins; Ewan Cameron; Emille E. O. Ishida; Joseph M. Hilbe (Astron. Comput., 2015)

cosmoabc: Likelihood-free inference via Population Monte Carlo Approximate Bayesian Computation. - Emille E. O. Ishida; Sandro D. P. Vitenti; Mariana Penna-Lima; Jessi Cisewski; Rafael S. de Souza; Arlindo M. M. Trindade; Ewan Cameron; Vinicius C. Busti (Astron. Comput., 2015)

AMADA - Analysis of multidimensional astronomical datasets. - Rafael S. de Souza; Benedetta Ciardi (Astron. Comput., 2015)

The overlooked potential of Generalized Linear Models in astronomy, I: Binomial regression. - Rafael S. de Souza; Ewan Cameron; Madhura Killedar; Joseph M. Hilbe; Ricardo Vilalta; Umberto Maio; Veronica Biffi; Benedetta Ciardi; Jamie D. Riggs (Astron. Comput., 2015)

Exploring the spectroscopic diversity of type Ia supernovae with Deep Learning and Unsupervised Clustering. - Emille E. O. Ishida; Michele Sasdelli; Ricardo Vilalta; Michel Aguena; Vinicius C. Busti; Hugo Camacho; Arlindo M. M. Trindade; Fabian Gieseke; Rafael S. de Souza; Yabebal T. Fantaye; Paolo A. Mazzali (Astroinformatics, 2016)

Automated supernova Ia classification using adaptive learning techniques. - Kinjal Dhar Gupta; Renuka Pampana; Ricardo Vilalta; Emille E. O. Ishida; Rafael S. de Souza (SSCI, 2016)

Photometric redshift estimation: An active learning approach. - Ricardo Vilalta; Emille E. O. Ishida; Róbert Beck; R. Sutrisno; Rafael S. de Souza; Ashish Mahabal (SSCI, 2017)

Active learning with RESSPECT: Resource allocation for extragalactic astronomical transients. - Noble Kennamer; Emille E. O. Ishida; Santiago Gonzalez-Gaitan; Rafael S. de Souza; Alexander Ihler; Kara Ponder; Ricardo Vilalta; Anais Möller; David O. Jones; Mi Dai; Alberto Krone-Martins; Bruno Quint; et al. (SSCI, 2020)

qrpca: A package for fast principal component analysis with GPU acceleration. - Rafael S. de Souza; Quanfeng Xu; Shiyin Shen; Chen Peng; Zihao Mu (Astron. Comput., 2022)

From Images to Features: Unbiased Morphology Classification via Variational Auto-Encoders and Domain Adaptation. - Quanfeng Xu; Shiyin Shen; Rafael S. de Souza; Mi Chen; Renhao Ye; Yumei She; Zhu Chen; Emille E. O. Ishida; Alberto Krone-Martins; Rupesh Durgesh (CoRR, 2023)

A graph-based spectral classification of Type II supernovae. - Rafael S. de Souza; S. Thorp; Lluís Galbany; Emille E. O. Ishida; Santiago Gonzalez-Gaitan; M. A. Schmitz; Alberto Krone-Martins; C. Peters (Astron. Comput., 2023)

Galmoss: A package for GPU-accelerated galaxy profile fitting. - Mi Chen; Rafael S. de Souza; Quanfeng Xu; Shiyin Shen; Ana L. Chies-Santos; Renhao Ye; Marco A. Canossa-Gosteinski; Yanping Cong (Astron. Comput., 2024)

From Galaxy Zoo DECaLS to BASS/MzLS: detailed galaxy morphology classification with unsupervised domain adaption. - Renhao Ye; Shiyin Shen; Rafael S. de Souza; Quanfeng Xu; Mi Chen; Zhu Chen; Emille E. O. Ishida; Alberto Krone-Martins; Rupesh Durgesh (CoRR, 2024)