Scientific Research Publishing

A. P. Bradley, “The Use of the Area under the ROC Curve in the Evaluation of Machine Learning Algorithms,” Pattern Recognition, Vol. 30, No. 7, 1997, pp. 1145-1159. doi:10. ...

ABSTRACT: Land cover (LC) and land use (LU) dynamics induced by human and natural processes play a major role in global as well as regional patterns of landscapes influencing biodiversity, hydrology, ...
IEEE

Maximum Likelihood Estimation of Optimal Receiver Operating Characteristic Curves From Likelihood Ratio Observations

Abstract: The optimal receiver operating characteristic (ROC) curve, giving the maximum probability of detection as a function of the probability of false alarm, is a key information-theoretic ...
Frontiers

Enhancing survival predictions in lung cancer with cystic airspaces: a multimodal approach combining clinical and radiomic features

Objective: To enhance the prognostic assessment and management of lung cancer with cystic airspaces (LCCA) by integrating temporal clinical and phenotypic dimensions of tumor growth. Patients and ...
IEEE

Advanced Receiver Operating Characteristic Curve Analysis to Identify Outliers in Binary Machine Learning Classifications for Precision Medicine

Abstract: The Receiver Operating Characteristic (ROC) curve is a critical tool for binary classification analysis in medicine, with the Area Under the ROC Curve (AUROC) serving as a widely accepted ...
GitHub

How and When to Use ROC Curves and Precision-Recall Curves for Classification in Python.html

<html lang="en-US" style="" class="js csstransforms3d csstransitions gr__machinelearningmastery_com"><head><meta http-equiv="Content-Type" content="text/html; charset ...
TechCrunch

GM’s Cruise robotaxis are back in Phoenix — but people are driving them

General Motors’ Cruise is redeploying robotaxis in Phoenix after nearly five months of paused operations, the company said in a blog post. The catch? The cars will be in “manual mode,” so they won’t ...