Compressed data technique enables pangenomics at scale

Engineers at the University of California have developed a new data structure and compression technique that enables the ...
IEEE

Self-Supervised Representation Distribution Learning for Reliable Data Augmentation in Histopathology WSI Classification

Abstract: Multiple instance learning (MIL) based whole slide image (WSI) classification is often carried out on the representations of patches extracted from WSI with a pre-trained patch encoder. The ...
IEEE

Topological Data Analysis in Graph Neural Networks: Surveys and Perspectives

Abstract: For many years, topological data analysis (TDA) and deep learning (DL) have been considered separate data analysis and representation learning approaches, which have nothing in common. The ...
EurekAlert!

A federated anti-forgetting representation method based on hybrid model architecture and gradient truncation

Anti-forgetting representation learning method reduces the weight aggregation interference on model memory and augments the ...