Feature Extraction

By Anders Boesen, Lindbo Larsen, Søren Kaae Sønderby, Hugo Larochelle, Ole Winther. 2018

240 citations recorded by the source corpus.

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): “For this reason other alternatives, primarily feature construction or extraction [18], emerged.”
• Building occupancy estimation and detection: A review (2018, unknown): “Since the raw sensory data is noisy and not representative for occupancy estimation, researchers intend to apply feature engineering which is a widely used technique for machine learning models [47].”