Towards XAI: Interpretable Shallow Neural Network Used to Model HCP's fMRI Motor Paradigm Data. - José Diogo Marques dos Santos; José Paulo Marques dos Santos (IWBBIO (2), 2022)

Path Weights Analyses in a Shallow Neural Network to Reach Explainable Artificial Intelligence (XAI) of fMRI Data. - José Diogo Marques dos Santos; José Paulo Marques dos Santos (LOD (2), 2022)

Transparent Machine Learning Algorithms for Explainable AI on Motor fMRI Data. - José Diogo Marques dos Santos; David Machado; Manuel Fortunato (IWBBIO (2), 2023)

Path-Weights and Layer-Wise Relevance Propagation for Explainability of ANNs with fMRI Data. - José Diogo Marques dos Santos; José Paulo Marques dos Santos (LOD (2), 2023)

Explaining ANN-modeled fMRI Data with Path-Weights and Layer-Wise Relevance Propagation. - José Diogo Marques dos Santos; José Paulo Marques dos Santos (xAI (Late-breaking Work, Demos, Doctoral Consortium), 2023)

Path-Weight-Based Pruning and SHAP-Based Explanations of an ANN with fMRI Data. - José Diogo Marques dos Santos; José Paulo Marques dos Santos (LOD (3), 2024)

Decoding Mental States in Social Cognition: Insights from Explainable Artificial Intelligence on HCP fMRI Data. - José Diogo Marques dos Santos; Luís Paulo Reis; José Paulo Marques dos Santos (Mach. Learn. Knowl. Extr., 2025)