The term data augmentation refers to methods for constructing iterative optimization or sampling algorithms via the introduction of unobserved data or latent variables. For deterministic algorithms, ...

These methods achieve comparable classification accuracy to state-of-the-art methods, and can be used in conjunction with other data augmentation methods, such as conventional data augmentation ...

MultiKano is the first automatic cell type annotation method tailored to single-cell multi-omics data. MultiKano introduces a novel data augmentation strategy based on paired scRNA-seq and scATAC ...

Nvidia researchers detailed an augmentation pipeline for training GANs with less data in a paper published at the NeurIPS conference.

The purpose of the Journal of Computational and Graphical Statistics is to improve and extend the use of computational and graphical methods in statistics and data analysis. Established in 1992, this ...