Classification and regression performance is typically measured using metrics such as accuracy and AUC for classification, or mean squared error for regression. These ...
This repository creates an app for understanding network predictions for image classification (UNPIC). UNPIC is an app which can be used to explore the predictions of an image classification network ...
The purpose of this study was to develop a method of classifying cancers to specific diagnostic categories based on their gene expression signatures using artificial neural networks (ANNs). We trained ...
Abstract: Vision-language foundational models have achieved commendable results on related tasks. However, their application to medical tasks is still limited due to issues arising from data biases.
Abstract: Focusing on the adaptability of energy management methods for hybrid electric vehicle (HEV) to the driving cycle, the paper analyses and compares two driving cycle identification methods ...
There is considerable interest in the use of statistical process control (SPC) in healthcare. Although SPC is part of an overall philosophy of continual improvement, the implementation of SPC usually ...