We have published the paper entitled Selección de Características Multi-objetivo Paralela para Aplicaciones de Electroencefalografía: Una Implementación Híbrida con Python y C++ in the proceedings of the XXXI Jornadas de Paralelismo (JP), which was held in Málaga (Spain) from September 22 to 24, 2021.
In this paper, we propose a hybrid approach that combines Python and C++ to solve an EEG classification problem. Specifically, four different versions have been implemented and evaluated from an energy-time point of view to point out the strengths and weaknesses of each language.