Search Results for author:
Found 3 papers, 1 papers with code
Quantifying Spatial Domain Explanations in BCI using Earth Mover's Distance
This work investigates the efficacy of different deep learning and Riemannian geometry-based classification models in the context of motor imagery (MI) based BCI using electroencephalography (EEG).
MultiFusionNet: Multilayer Multimodal Fusion of Deep Neural Networks for Chest X-Ray Image Classification
The proposed multilayer multimodal fusion model, along with the FDSFM module, holds promise for accurate disease classification and can also be extended to other disease classifications in chest X-ray images.
Explainable artificial intelligence approaches for brain-computer interfaces: a review and design space
We propose a design space for XAI4BCI, considering the evolving need to visualize and investigate predictive model outcomes customised for various stakeholders in the BCI development and deployment lifecycle.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
