Genetic algorithms in feature and instance selection
By Chih-Fong Tsai, William Eberle, Chi-Yuan Chu. 2013
237 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Information Systems
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
- Salvatore Ruggieri
- Dino Pedreschi
- Riccardo Guidotti
- Fosca Giannotti
- Anna Monreale
- Franco Turini
- Sara Hajian
- Indrė Žliobaitė
In Information Systems
- Salvatore Ruggieri
- Franco Turini
- Riccardo Guidotti
- Fosca Giannotti
- Anna Monreale
- Dino Pedreschi
- Bernardete Ribeiro
- An Chen
Citations in the corpus
- Local Rule-Based Explanations of Black Box Decision Systems (2018, methodology): “This task differs from approaches to instance selection [28], based on genetic algorithms [36] (also specialized for decision trees [40]), in that their objective is to select a subset of instances from an available training set.”
- Financial credit risk assessment: a recent review (2015, methodology): “Likewise, Tsai et al. (2013) applied GA to perform both feature selection and instance selection in prior to an SVM and KNN classifier.”