no code implementations • 2 May 2024 • Param Rajpura, Hubert Cecotti, Yogesh Kumar Meena
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).
no code implementations • 1 Jan 2024 • Saurabh Agarwal, K. V. Arya, Yogesh Kumar Meena
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.
1 code implementation • 20 Dec 2023 • Param Rajpura, Hubert Cecotti, Yogesh Kumar Meena
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.