TY  - GEN 
AU  - Lam Le, Hoang
AU  - Landa-Silva, Dario
AU  - Galar, Mikel
AU  - García López, Salvador
AU  - Triguero, Isaac
PY  - 2021
UR  - https://hdl.handle.net/10481/109592
AB  - earning from imbalanced datasets is highly demanded in real-world applications and a challenge for standard classifiers that tend to be biased towards the classes with the majority of the examples. Undersampling approaches reduce the size of the...
LA  - eng
KW  - Data preprocessing
KW  - Evolutionary undersampling
KW  - Surrogate models
KW  - Imbalanced classification
KW  - Fitness approximation
TI  - EUSC: A clustering-based surrogate model to accelerate evolutionary undersampling in imbalanced classification
DO  - 10.1016/j.asoc.2020.107033
ER  -