2 papers
cs.LG2026
Improving clinical interpretability of linear neuroimaging models through feature whitening
Sara Petiton, Antoine Grigis, Raphaël Vock +1
Linear models are widely used in computational neuroimaging to identify biomarkers associated with brain pathologies. However, interpreting the learned weights remains challenging,…
cs.AI2026
How and why does deep ensemble coupled with transfer learning increase performance in bipolar disorder and schizophrenia classification?
Sara Petiton, Antoine Grigis, Benoit Dufumier +1
Transfer learning (TL) and deep ensemble learning (DE) have recently been shown to outperform simple machine learning in classifying psychiatric disorders. However, there is still…