By transferring temporal knowledge from complex time-series models to a compact model through knowledge distillation and attention mechanisms, the ...

Not revised: This Reviewed Preprint includes the authors’ original preprint (without revision), an eLife assessment, and public reviews. This manuscript by Xie and colleagues presents an intriguing ...

How can the method be described as having “generalization ability” or “feedforward inference” when it is trained only on two datasets (in total just a few dozen scenes) and still relies on test-time ...

A Penn State football team mired in what has become a lost season still has something to play for beyond personal pride: Bowl eligibility, which the Nittany Lions could attain with wins in their final ...

The clinical decision support space within the broader healthcare AI market is getting more and more crowded, with startups spawning a plethora of tools that help clinicians complete a variety of ...

Abstract: Genetic programming-based feature construction has achieved significant success in recent years as an automated machine learning technique to enhance learning performance. However, ...

ABSTRACT: In order to solve the problem of chronic heart failure risk prediction in the elderly, a logistic regression modeling framework with Bayesian method was proposed, aiming to solve the problem ...