16 citations · 18 across the 2 of their papers we have counts for
2 papers
cs.LG2019★ 16 cited
A scalable saliency-based Feature selection method with instance level information
Brais Cancela, Verónica Bolón-Canedo, Amparo Alonso-Betanzos +1
Classic feature selection techniques remove those features that are either irrelevant or redundant, achieving a subset of relevant features that help to provide a better knowledge…
cs.AI2016★ 2 cited
An Information Theoretic Feature Selection Framework for Big Data under Apache Spark
Sergio Ramírez-Gallego, Héctor Mouriño-Talín, David Martínez-Rego +4
With the advent of extremely high dimensional datasets, dimensionality reduction techniques are becoming mandatory. Among many techniques, feature selection has been growing in int…