| The NN-Stacking: Feature weighted linear stacking through neural networks V Coscrato, MH de Almeida Inácio, R Izbicki Neurocomputing 399, 141-152, 2020 | 4 | 2020 |
| Agnostic tests can control the type I and type II errors simultaneously V Coscrato, R Izbicki, RB Stern Brazilian Journal of Probability and Statistics 34 (2), 230-250, 2020 | 3 | 2020 |
| NLS: an accurate and yet easy-to-interpret regression method V Coscrato, MHA Inácio, T Botari, R Izbicki arXiv preprint arXiv:1910.05206, 2019 | 2 | 2019 |
| Interpretable hypothesis tests V Coscrato, LG Esteves, R Izbicki, RB Stern arXiv preprint arXiv:1904.06605, 2019 | 2 | 2019 |
| Neural networks as an optimization tool for regression VA Coscrato Universidade Federal de São Carlos, 2019 | | 2019 |
| M. MALEKI, A. HAJRAJABI and RB ARELLANO-VALLE Symmetrical and asymmetrical mixture autoregressive processes............. 273 U. BANDYOPADHYAY, S. MUKHERJEE and A. BISWAS I MARTÍNEZ-HERNÁNDEZ, MG GENTON, V COSCRATO, R IZBICKI, ... | | |
| Neural networks as an optimization method for regression VA Coscrato Universidade de São Paulo, 0 | | |
Rafael IzbickiFederal University of São CarlosVerified email at ufscar.br
