Loaiza-Arias, M.; Álvarez-Meza, A.M.; Cárdenas-Peña, D.; Orozco-Gutierrez, Á.Á.; Castellanos-Dominguez, G.
Multimodal Explainability Using Class Activation Maps and Canonical Correlation for MI-EEG Deep Learning Classification. Appl. Sci. 2024, 14, 11208.
https://doi.org/10.3390/app142311208
AMA Style
Loaiza-Arias M, Álvarez-Meza AM, Cárdenas-Peña D, Orozco-Gutierrez ÁÁ, Castellanos-Dominguez G.
Multimodal Explainability Using Class Activation Maps and Canonical Correlation for MI-EEG Deep Learning Classification. Applied Sciences. 2024; 14(23):11208.
https://doi.org/10.3390/app142311208
Chicago/Turabian Style
Loaiza-Arias, Marcos, Andrés Marino Álvarez-Meza, David Cárdenas-Peña, Álvaro Ángel Orozco-Gutierrez, and German Castellanos-Dominguez.
2024. "Multimodal Explainability Using Class Activation Maps and Canonical Correlation for MI-EEG Deep Learning Classification" Applied Sciences 14, no. 23: 11208.
https://doi.org/10.3390/app142311208
APA Style
Loaiza-Arias, M., Álvarez-Meza, A. M., Cárdenas-Peña, D., Orozco-Gutierrez, Á. Á., & Castellanos-Dominguez, G.
(2024). Multimodal Explainability Using Class Activation Maps and Canonical Correlation for MI-EEG Deep Learning Classification. Applied Sciences, 14(23), 11208.
https://doi.org/10.3390/app142311208