Álvaro Orozco-Gutiérrez

Dec 1, 2024 | mdpi.com | Andrés Marino Álvarez-Meza |David Augusto Cárdenas-Peña |Álvaro Orozco-Gutiérrez |Marcos Loaiza-Arias

All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.

Oct 24, 2024 | preprints.org | Andrés Marino Álvarez-Meza |David Augusto Cárdenas-Peña |Álvaro Orozco-Gutiérrez |Marcos Loaiza

Preprint Article Version 1 This version is not peer-reviewed Version 1 : Received: 24 October 2024 / Approved: 24 October 2024 / Online: 25 October 2024 (02:57:26 CEST) Loaiza, M.; Álvarez-Meza, A. M.; Cárdenas-Peña, D.; Orozco-Gutiérrez, Á. Á.; Castellanos-Dominguez, G. Multimodal Explainability Using Class Activation Maps and Canonical Correlation for MI-EEG Deep Learning Classification. Preprints 2024, 2024101920. https://doi.org/10.20944/preprints202410.1920.v1 Loaiza, M.; Álvarez-Meza, A.

Jun 17, 2024 | mdpi.com | Andrés Marino Álvarez-Meza |Andres Marino |Walter Serna-Serna |Álvaro Orozco-Gutiérrez

All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.