2 papers
eess.SP2025
Using Graph Convolutional Networks to Address fMRI Small Data Problems
Thomas Screven, Andras Necz, Jason Smucny +1
Although great advances in the analysis of neuroimaging data have been made, a major challenge is a lack of training data. This is less problematic in tasks such as diagnosis, wher…
cs.LG2024
ChaosMining: A Benchmark to Evaluate Post-Hoc Local Attribution Methods in Low SNR Environments
Ge Shi, Ziwen Kan, Jason Smucny +1
In this study, we examine the efficacy of post-hoc local attribution methods in identifying features with predictive power from irrelevant ones in domains characterized by a low si…