A Stacked Autoencoder Implementation with Interface to'neuralnet'

By S. Hogg, E. Dubossarsky. 2015

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Salvador Garcia
2. Francisco Herrera
3. Francisco Charte
4. M. J. Jesús
5. Alberto Fernández
6. David Charte
7. Jesús Alcalá-Fdez
8. Mikel Galar

Citations in the corpus

• A practical tutorial on autoencoders for nonlinear feature fusion: Taxonomy, models, software and guidelines (2018, background): “and SAENET [159] of the CRAN repository for R, as well as an option for easily building basic AEs in H2O(5).”