Leena Ali Ibrahim

Classification of High-dimensional Time Series in Spectral Domain Using Explainable Features with Applications to Neuroimaging Data

Interpretable classification of time series poses significant challenges in high dimensions. Traditional feature selection methods in the frequency domain often assume sparsity in spectral matrices (or their inverses) which can be restrictive for real-world applications. We propose a model-based app…