2 papers
cs.LG2025
Impact of Leakage on Data Harmonization in Machine Learning Pipelines in Class Imbalance Across Sites
Nicolás Nieto, Simon B. Eickhoff, Christian Jung +6
Machine learning (ML) models benefit from large datasets. Collecting data in biomedical domains is costly and challenging, hence, combining datasets has become a common practice. H…
cs.LG2025
Region-wise stacking ensembles for estimating brain-age using MRI
Georgios Antonopoulos, Shammi More, Simon B. Eickhoff +2
Predictive modeling using structural magnetic resonance imaging (MRI) data is a prominent approach to study brain-aging. Machine learning algorithms and feature extraction methods…