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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.
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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Preprint Article Version 1 This version is not peer-reviewed Version 1 : Received: 24 October 2024 / Approved: 24 October 2024 / Online: 25 October 2024 (02:57:26 CEST) Loaiza, M.; Álvarez-Meza, A. M.; Cárdenas-Peña, D.;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.
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Aug 4, 2024 | 
mdpi.com | Jenniffer Carolina Triana-Martinez |Andrés Marino Álvarez-Meza |Julian Gil-González |Tom De Swaef
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.
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Jul 18, 2024 | 
mdpi.com | Diego Armando Perez-Rosero |Andrés Marino Álvarez-Meza |Cesar German Castellanos-Dominguez |Diego Armando
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.
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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.
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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.
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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.
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Jun 17, 2024 | 
preprints.org | Andrés Marino Álvarez-Meza |German Castellanos-Dominguez |Diego Armando Perez-Rosero
PreprintArticleVersion 1This version is not peer-reviewedVersion 1: Received: 17 June 2024 / Approved: 17 June 2024 / Online: 17 June 2024 (08:14:01 CEST)Perez-Rosero, D. A.; Álvarez-Meza, A. M.; Castellanos-Dominguez, G. A Regularized Physics-Informed Neural Network to support Data-Driven Nonlinear Constrained Optimization. Preprints 2024, 2024061118. https://doi.org/10.20944/preprints202406.1118.v1Perez-Rosero, D. A.; Álvarez-Meza, A. M.; Castellanos-Dominguez, G.
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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.
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Jul 21, 2023 | 
mdpi.com | Andrés Marino Álvarez-Meza |Cesar German Castellanos-Dominguez |Andres Marino |Mateo Tobón-Henao
4.2. Relevance Analysis ResultsWe evaluated the FC variations across subjects, focusing on determining which connections significantly influence the ability to distinguish between the MI classes. Acknowledging that a strong correlation in the FC matrix does not automatically translate into enhanced class distinction is essential. In this endeavor, we utilized the Kolmogorov–Smirnov (KS) statistic [65], a tool that quantifies the disparity between the class distributions for each FC.
