Abstract: Active learning Kriging is widely used in structural reliability analysis for its computational efficiency and accuracy. While numerous learning functions exist to accelerate Kriging ...

Cell therapy has rapidly expanded what’s possible in medicine. Groundbreaking treatments are emerging for cancer, genetic conditions, and more. However, manufacturing cell therapies is complex, and ...

scPair, a deep learning framework for computational analysis of single cell multimodal data. scPair performs automatic, implicit feature selection to infer the features of each data modality that ...

Abstract: Feature selection (FS) is an effective data preprocessing technique. In some practical applications, features may continuously arrive one by one or by groups, and we cannot know the exact ...