Boundary-Aware Uncertainty for Feature Attribution Explainers

1 code implementation • 5 Oct 2022 • Davin Hill, Aria Masoomi, Max Torop, Sandesh Ghimire, Jennifer Dy

In this work we propose the Gaussian Process Explanation UnCertainty (GPEC) framework, which generates a unified uncertainty estimate combining decision boundary-aware uncertainty with explanation function approximation uncertainty.

Unsupervised Approaches for Out-Of-Distribution Dermoscopic Lesion Detection

no code implementations • 8 Nov 2021 • Max Torop, Sandesh Ghimire, Wenqian Liu, Dana H. Brooks, Octavia Camps, Milind Rajadhyaksha, Jennifer Dy, Kivanc Kose

There are limited works showing the efficacy of unsupervised Out-of-Distribution (OOD) methods on complex medical data.

Lesion Detection Out of Distribution (OOD) Detection