3 papers
eess.SY2025
Tunnelling Through Time Series: A Probabilistic Visibility Graph for Local and Global Pattern Discovery
Roberto Sotero, Jose Sanchez-Bornot
The growing availability of high-resolution, long-term time series data has highlighted the need for methods capable of capturing both local and global patterns. To address this, w…
cs.LG2024
Towards improving Alzheimer's intervention: a machine learning approach for biomarker detection through combining MEG and MRI pipelines
Alwani Liyana Ahmad, Jose Sanchez-Bornot, Roberto C. Sotero +3
MEG are non invasive neuroimaging techniques with excellent temporal and spatial resolution, crucial for studying brain function in dementia and Alzheimer Disease. They identify ch…
q-bio.NC2024
A Machine Learning Approach for Identifying Anatomical Biomarkers of Early Mild Cognitive Impairment
Alwani Liyana Ahmad, Jose Sanchez-Bornot, Roberto C. Sotero +3
Alzheimer Disease poses a significant challenge, necessitating early detection for effective intervention. MRI is a key neuroimaging tool due to its ease of use and cost effectiven…