33 citations · 42 across the 5 of their papers we have counts for
3 papers · 1 filter
NLS: an accurate and yet easy-to-interpret regression method
Victor Coscrato, Marco Henrique de Almeida Inácio, Tiago Botari +1
An important feature of successful supervised machine learning applications is to be able to explain the predictions given by the regression or classification model being used. How…
The NN-Stacking: Feature weighted linear stacking through neural networks
Victor Coscrato, Marco Henrique de Almeida Inácio, Rafael Izbicki
Stacking methods improve the prediction performance of regression models. A simple way to stack base regressions estimators is by combining them linearly, as done by \citet{breiman…
Interpretable hypothesis tests
Victor Coscrato, Luís Gustavo Esteves, Rafael Izbicki +1
Although hypothesis tests play a prominent role in Science, their interpretation can be challenging. Three issues are (i) the difficulty in making an assertive decision based on th…