The Lancet

Development and validation of a machine-learning model to reduce futile procurements in donations after circulatory death in liver transplantation in the USA…

We show that, compared with surgeon predictions and existing risk-prediction tools, our machine-learning model can enhance ...

The Shortcomings of the Copyright Office’s Guidance for AI-Assisted Works

When can an artist using AI tools copyright their work? Early this year, the Copyright Office addressed this issue and ...
IEEE

Achieving an Accurate Random Process Model for PV Power Using Cheap Data: Leveraging the SDE and Public Weather Reports

Abstract: Stochastic differential equation (SDE)-based random process models of renewable energy sources (RESs) jointly capture evolving probability distribution and temporal correlation in continuous ...
IEEE

Conditional Random Field Features and Structure Assessment for Digital Terrain Modeling

Abstract: The conditional random field is a suitable framework for contextual classification of two-dimensional (images) and three-dimensional (point clouds) data. This framework is based on ...