Oct 12, 2022 · In this paper, we start from the hypothesis that the Dataset Shift problem can be alleviated by exploiting suitable eXplainable Artificial ...
In this paper, we start from the hypothesis that the Dataset Shift problem can be alleviated by exploiting suitable eXplainable Artificial Intelligence (XAI) ...
Results show that many relevant components found by XAI methods are shared across the sessions and can be used to build a system able to generalise better, ...
(PDF) Toward the application of XAI methods in EEG-based systems
www.researchgate.net › ... › Systems
Jun 6, 2023 · In this paper, we start from the hypothesis that the Dataset Shift problem can be alleviated by exploiting suitable eXplainable Artificial ...
May 20, 2024 · This paper explores the use of eXplainable Artificial Intelligence (XAI) methods to address the well-known Dataset Shift problem in the context ...
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An interesting case of the well-known Dataset Shift Problem is the classification of Electroencephalogram (EEG) signals in the context of Brain-Computer ...
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Toward the application of XAI methods in EEG-based systems · no code implementations • 12 Oct 2022 • Andrea Apicella, Francesco Isgrò, Andrea Pollastro, Roberto ...
XAI methods can facilitate the identification of EEG signal features and their transformations with enhanced stability properties, thereby enabling a greater ...
Toward the Application of XAI Methods in EEG-based Systems. 1-15. view. electronic edition @ ceur-ws.org (open access); no references & citations available.
Editorial: Explainable Artificial Intelligence (XAI) in Systems ...
pmc.ncbi.nlm.nih.gov › PMC8586197
The authors presented an explainable DL framework to evaluate the accuracy of the models while achieving high interpretability of the contribution of each brain ...