In a test of major LLMs, Zscaler found that some autonomous AI agents fell victim to frauds, reinforcing how easily some high ...

The cases arose from challenges to Idaho and West Virginia laws barring transgender women and girls from participating on female-designated athletic teams at public secondary schools and postsecondary ...

Abstract: Accuracy assessment is essential in all image classification-related fields, ranging from molecular imaging to earth observation. However, existing accuracy metrics are too sensitive to ...

Update 06/02/2022: We released COVIDx CXR-3, a cleaned version of the dataset in which several hundred bad training images have been removed. The new dataset contains 29,986 images from 16,648 ...

Abstract: Binary relevance (BR) is a well-known framework for multi-label classification. It decomposes multi-label classification into binary (one-vs-rest) classification subproblems, one for each ...

Objective: Inflammatory back pain (IBP) is an important clinical symptom in patients with axial spondyloarthritis (SpA), and relevant for classification and diagnosis. In the present report, a new ...

Correspondence to Professor Sigmund Loland, Department of Sport and Social Sciences, The Norwegian School of Sport Sciences, Oslo 0860, Norway; sigmund.loland{at}nih.no According to the Differences of ...

[2] Structured Matrix Scaling for Multi-Class Calibration (see also: experiments) [3] A Variational Estimator for Lp Calibration Errors (see also all experiments) [4 ...