David Augusto Cárdenas-Peña

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Preprint Article Version 1 This version is not peer-reviewed Version 1 : Received: 24 October 2024 / Approved: 24 October 2024 / Online: 25 October 2024 (02:57:26 CEST) Loaiza, M.; Álvarez-Meza, A. M.; Cárdenas-Peña, D.;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.

Jul 16, 2024 | mdpi.com | Andrés Marino Álvarez-Meza |German Castellanos-Dominguez |David Augusto Cárdenas-Peña |Cristian Alejandro Blanco-Martínez

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.

Jul 15, 2024 | mdpi.com | Julián David Pastrana-Cortés |Julian Gil-González |Andrés Marino Álvarez-Meza |David Augusto Cárdenas-Peña

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.

Apr 23, 2024 | preprints.org | Julián David Pastrana-Cortés |Julian Gil-González |Andrés Marino Álvarez-Meza |David Augusto Cárdenas-Peña

Preprint Article Version 1 This version is not peer-reviewed Version 1 : Received: 19 April 2024 / Approved: 23 April 2024 / Online: 23 April 2024 (11:57:56 CEST) Pastrana-Cortés, J.D.; Gil-Gonzalez, J.; Álvarez-Meza, A.M.; Cárdenas-Peña, D.A.; Orozco-Gutiérrez, Á.A. Scalable and Interpretable Forecasting of Hydrological Time-Series based on Variational Gaussian Processes. Preprints 2024, 2024041492.