Neural Networks

Distance assessment and analysis of high-dimensional samples using variational autoencoders
An important question in many machine learning applications is whether two samples arise from the same generating distribution. …
M. H. de A. Inácio, Rafael Izbicki, B. Gyires-Tóth
January, 2021 Information Sciences
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The NN-Stacking: Feature weighted linear stacking through neural networks
Stacking methods improve the prediction performance of regression models. A simple way to stack base regressions estimators is by …
V. A. Coscrato, M. H. de A. Inácio, Rafael Izbicki
January, 2020 Neurocomputing
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Conditional density estimation using Fourier series and neural networks
Most machine learning tools aim at creating good predictions for new samples. However, obtaining 100% is not feasible in most problems, …
M. H. de A. Inácio, Rafael Izbicki
May, 2018 KDMiLe - Symposium on Knowledge Discovery, Mining and Learning - Algorithms Track
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