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Found 3 papers, 0 papers with code
Unmasking Dementia Detection by Masking Input Gradients: A JSM Approach to Model Interpretability and Precision
The evolution of deep learning and artificial intelligence has significantly reshaped technological landscapes.
Diagnosing Alzheimer's Disease using Early-Late Multimodal Data Fusion with Jacobian Maps
Additionally, we introduce a robust preprocessing pipeline that adapts to the unique characteristics of individual subjects and makes use of whole brain images rather than slices or patches.
A Brain-Computer Interface Augmented Reality Framework with Auto-Adaptive SSVEP Recognition
In this paper, we (1) propose a simple adaptive ensemble classification system that handles the inter-subject variability, (2) present a simple BCI-AR framework that supports the development of a wide range of SSVEP-based BCI-AR applications, and (3) evaluate the performance of our ensemble algorithm in an SSVEP-based BCI-AR application with head rotations which has demonstrated robustness to the movement interference.
