Kyle Torpey has been writing about Bitcoin since 2013. His work has been featured in Fortune, Bitcoin Magazine, Wired UK, and many other media outlets. He has also attracted more than 50,000 followers ...

Abstract: With excellent representation power for complex data, deep neural networks (DNNs) based approaches are state-of-the-art for ordinal regression problem which aims to classify instances into ...

Abstract: The performance of medical image classification has been enhanced by deep convolutional neural networks (CNNs), which are typically trained with cross-entropy (CE) loss. However, when the ...

Rajeev Dhir is a writer with 10+ years of experience as a journalist with a background in broadcast, print, and digital newsrooms. David Kindness is a Certified Public Accountant (CPA) and an expert ...

PySR is an open-source tool for Symbolic Regression: a machine learning task where the goal is to find an interpretable symbolic expression that optimizes some objective. Over a period of several ...

Objectives To identify how frequently patient-reported outcomes (PROs) are used as primary and/or secondary outcomes in randomised controlled trials (RCTs) and to summarise what statistical methods ...