RFFNet: Scalable and interpretable kernel methods via Random Fourier Features. - Mateus P. Otto; Rafael Izbicki (CoRR, 2022)

Regression trees for fast and adaptive prediction intervals. - Luben M. C. Cabezas; Mateus P. Otto; Rafael Izbicki; Rafael Bassi Stern (Inf. Sci., 2025)

Supervised Stochastic Gradient Algorithms for Multi-Trial Source Separation. - Ronak Mehta; Mateus P. Otto; Noah Stanis; Azadeh Yazdan-Shahmorad; Zaïd Harchaoui (CoRR, 2025)