DC-Check: A Data-Centric AI checklist to guide the development of reliable machine learning systems
Nabeel Seedat(University of Cambridge), Mihaela van der Schaar(University of California, Los Angeles), Fergus Imrie(University of California, Los Angeles)
Cited by 11
Related Papers
Deep Generative Models for 3D Linker Design
|Journal of Chemical Information and Modeling|2020|266
Protein Family-Specific Models Using Deep Neural Networks and Transfer Learning Improve Virtual Screening and Highlight the Need for More Data
|Journal of Chemical Information and Modeling|2018|138
Deep generative design with 3D pharmacophoric constraints
|Chemical Science|2021|110
Generating property-matched decoy molecules using deep learning
|Bioinformatics|2021|96