Abstract: Class imbalance is a persistent challenge in machine learning, particularly in high-stakes applications such as medical diagnostics, bioinformatics, and fraud detection, where the minority ...
The latest findings include RNA-sequencing data showing that GRI-0621 significantly modulated genes associated with lung injury. Prior Phase 2a results had already shown favorable safety and ...
Abstract: Most existing few-shot image classification methods employ global pooling to aggregate class-relevant local features in a data-drive manner. Due to the difficulty and inaccuracy in locating ...