2 papers
cs.LG2025
Global explainability of a deep abstaining classifier
Sayera Dhaubhadel, Jamaludin Mohd-Yusof, Benjamin H. McMahon +8
We present a global explainability method to characterize sources of errors in the histology prediction task of our real-world multitask convolutional neural network (MTCNN)-based…
eess.IV2024
Domain Shift Analysis in Chest Radiographs Classification in a Veterans Healthcare Administration Population
Mayanka Chandrashekar, Ian Goethert, Md Inzamam Ul Haque +18
Objectives: This study aims to assess the impact of domain shift on chest X-ray classification accuracy and to analyze the influence of ground truth label quality and demographic f…