Recent advances and emerging challenges of feature selection in the context of big data
By Verónica Bolón-Canedo, Noelia Sánchez-Maroño, Amparo Alonso-Betanzos. Knowledge-Based Systems, 2015
328 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computer Vision and Pattern Recognition, Molecular Biology
View Paper: https://www.semanticscholar.org/paper/deabc4b078a09575f37aa0b9e0b07beafbca0d92
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Francisco Herrera
- Salvador Garcia
- Julián Luengo
- Verónica Bolón-Canedo
- Amparo Alonso-Betanzos
- Noelia Sánchez-Maroño
- José Manuel Benítez
- Sergio Ramírez-Gallego
In Computer Vision and Pattern Recognition
- Verónica Bolón-Canedo
- Amparo Alonso-Betanzos
- Noelia Sánchez-Maroño
- Salvador Garcia
- Julián Luengo
- Francisco Herrera
- Sergio Ramírez-Gallego
- José Manuel Benítez
In Molecular Biology
- Verónica Bolón-Canedo
- Amparo Alonso-Betanzos
- Noelia Sánchez-Maroño
- José Manuel Benítez
- Sheng Yang
- Jiawei Luo
- Francisco Herrera
- Jie Cai
Citations in the corpus
- Feature selection in machine learning: A new perspective (2018, background): “feature selection [66-71], they are mainly focus on specific research fields in feature selection.”
- Big data preprocessing: methods and prospects (2016, background): “New paradigms and tools have emerged to solve this problematic [66].”
- Feature selection for high-dimensional data (2016, methodology): “The availability of tools of this type will allow for better understanding of the problems, accessing insight of the data available [7].”