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Multi-objective feature selection for EEG classification wi..:

, In: Proceedings of the Genetic and Evolutionary Computation Conference Companion,

Escobar, Juan José ; Ortega, Julio ; Díaz, Antonio Francisco.. - p. 1862-1869 , 2018

Link: https://dl.acm.org/doi/10.1145/3205651.3208239

RT 
T1 <cTitle>Proceedings of the Genetic and Evolutionary Computation Conference Companion</cTitle>: T1 <Title>Multi-objective feature selection for EEG classification with multi-level parallelism on heterogeneous CPU-GPU clusters</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-3208239&Exemplar=1&LAN=DE
				
A1 Escobar, Juan José
A1 Ortega, Julio
A1 Díaz, Antonio Francisco
A1 González, Jesús
A1 Damas, Miguel
PB ACM
YR 2018
K1 EEG multi-objective feature selection
K1 distributed master-worker procedure
K1 energy-aware computing
K1 heterogeneous platform
K1 parallel programming
K1 subpopulation-based genetic algorithm
K1 Computing methodologies
K1 Distributed computing methodologies
K1 Distributed algorithms
K1 Theory of computation
K1 Design and analysis of algorithms
K1 Parallel algorithms
K1 Massively parallel algorithms
K1 Applied computing
K1 Life and medical sciences
K1 Bioinformatics
SP 1862
OP 1869
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3205651.3208239
DO https://dl.acm.org/doi/10.1145/3205651.3208239
SF ELIB - SuUB Bremen

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