While advances in artificial intelligence have been slow to reach commercial P&C insurance, new trends in data augmentation could help pick up the pace, according to experts on a recent Insurtech ...

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, ...

Georgia Tech researchers Vidya Muthukumar and Eva Dyer are leading a multi-institutional project to develop a theory for data augmentation, aiming to improve the generalization and fairness of AI ...

Viewing the observed data of a statistical model as incomplete and augmenting its missing parts are useful for clarifying concepts and central to the invention of two well-known statistical algorithms ...

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-seq ...