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Path-Weights and Layer-Wise Relevance Propagation for Explainability of ANNs with fMRI Data.

, и . LOD (2), том 14506 из Lecture Notes in Computer Science, стр. 433-448. Springer, (2023)

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José dos Santos Bento

José Maurício dos Santos Filho

Jordino Assis dos Santos Marques

Paulo José Knob

José Santos Herceg

 

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Explaining ANN-modeled fMRI Data with Path-Weights and Layer-Wise Relevance Propagation., и . xAI (Late-breaking Work, Demos, Doctoral Consortium), том 3554 из CEUR Workshop Proceedings, стр. 24-29. CEUR-WS.org, (2023)Path-Weights and Layer-Wise Relevance Propagation for Explainability of ANNs with fMRI Data., и . LOD (2), том 14506 из Lecture Notes in Computer Science, стр. 433-448. Springer, (2023)Tackling the Cognitive Processes That Underlie Brands' Assessments Using Artificial Neural Networks and Whole Brain fMRI Acquisitions., и . PRNI, стр. 9-12. IEEE Computer Society, (2011)Towards XAI: Interpretable Shallow Neural Network Used to Model HCP's fMRI Motor Paradigm Data., и . IWBBIO (2), том 13347 из Lecture Notes in Computer Science, стр. 260-274. Springer, (2022)Path Weights Analyses in a Shallow Neural Network to Reach Explainable Artificial Intelligence (XAI) of fMRI Data., и . LOD (2), том 13811 из Lecture Notes in Computer Science, стр. 417-431. Springer, (2022)'Mind Reading': Hitting Cognition by Using ANNs to Analyze fMRI Data in a Paradigm Exempted from Motor Responses., , и . ANNIIP, стр. 45-52. SciTePress, (2014)