Enhancement attacks in biomedical machine learning

no code implementations • 5 Jan 2023 • Matthew Rosenblatt, Javid Dadashkarimi, Dustin Scheinost

In the spirit of developing attacks to better understand trustworthiness, we developed two techniques to drastically enhance prediction performance of classifiers with minimal changes to features: 1) general enhancement of prediction performance, and 2) enhancement of a particular method over another.

Data-driven mapping between functional connectomes using optimal transport

no code implementations • 2 Jul 2021 • Javid Dadashkarimi, Amin Karbasi, Dustin Scheinost

Being able to map connectomes and derived results between different atlases without additional pre-processing is a crucial step in improving interpretation and generalization between studies that use different atlases.

Time Series Time Series Analysis