TY  - JOUR 
AU  - González Peñalver, Jesús
AU  - Ortega Lopera, Julio
AU  - Damas Hermoso, Miguel
AU  - Martín Smith, Pedro Jesús
AU  - Gan, John Q.
PY  - 2019
UR  - http://hdl.handle.net/10481/57925
AB  - Feature selection is an important step in building classifiers for high-dimensional data problems, such as EEG classification for BCI applications. This paper proposes a new wrapper method for feature selection, based on a multi-objective evolutionary...
LA  - eng
PB  - Elsevier
KW  - BCI
KW  - EEG
KW  - Motor imagery
KW  - Feature selection
KW  - Multi-objective problem
KW  - Evolutionary algorithm
KW  - Classification
KW  - Stability
KW  - Ensemble
TI  - A new multi-objective wrapper method for feature selection – Accuracy and stability analysis for BCI
DO  - 10.1016/j.neucom.2019.01.017
ER  -