TY  - GEN 
AU  - Sáez Muñoz, José Antonio
AU  - Luengo Martín, Julián
AU  - Herrera Triguero, Francisco
PY  - 2016
UR  - https://hdl.handle.net/10481/100254
AB  - Noise is common in any real-world data set and may adversely affect classifiers built under the effect of such type of disturbance. Some of these classifiers are widely recognized for their good performance when dealing with imperfect data. However,...
LA  - eng
PB  - Elsevier
KW  - noisy data
KW  - behavior against noise
KW  - robustness measures
KW  - classification
TI  - Evaluating the classifier behavior with noisy data considering performance and robustness: The Equalized Loss of Accuracy measure
DO  - 10.1016/j.neucom.2014.11.086
ER  -