In today’s fast-paced and highly complex technology landscape, operations teams face the challenge of managing vast amounts ...

Abstract: An integrated method comprising DEA and machine learning for risk management ... degree of remaining risk depending on simulated data corresponding to the risk treatment scenario. Prediction ...

Department of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge CB3 0AS, United Kingdom Cambridge Centre for Advanced Research and Education in Singapore, CARES Ltd., 1 CREATE ...

Pull requests help you collaborate on code with other people. As pull requests are created, they’ll appear here in a searchable and filterable list. To get started, you should create a pull request.

"The big picture is that we use a machine learning model to learn what 'normal' looks like for each cavity," Ferguson said. "Then, by continuously comparing new data to that baseline, the system ...

Identifying passports using ... art machine learning solutions. We are extremely grateful to our partners for their support and are already collaborating with them — and other academic partners — on ...

The ability to anticipate what comes next has long been a competitive advantage -- one that's increasingly within reach for developers and organizations alike, thanks to modern cloud-based machine ...

Abstract: Machine learning (ML) is ever more frequently used as a ... In this article we propose the use of binary decision diagrams (BDDs) as an interpretable ML model. BDDs can be deemed as ...