We explore practical approaches to dataset construction, examining the advantages and limitations of 3 primary methods: fully manual preparation by expert annotators, fully synthetic generation using ...

Abstract: Well-documented, large and diverse datasets are important to facilitate supervised and transferable deep learning methods for human activity recognition. The past years have seen the machine ...

Currently, we have two tutorials with the exact same title: Tutorial 4: Creating a dataset class and Tutorial 5: Creating a dataset class. This is confusing the the users and they should be merged. In ...

Oak Ridge National Laboratory’s Peregrine software, used to monitor and analyze parts created through powder bed additive manufacturing, has released its most advanced dataset to date. In its ongoing ...

Zied Hosni, Valerie J. Gillet, Richard L. Marchese Robinson, "Explicit applicability domain calculations can help determine when uncertainty estimates are less reliable" (Article being revised prior ...

Abstract: This paper examines how AI has revolutionised drug development and medical research using the ChEMBL dataset. The primary study areas are AI-driven therapeutic target identification., ...

A majority of those who say it’s headed in the wrong direction say a major reason is that schools are not spending enough time on core academic subjects. Many public K-12 teachers say people should ...