Multiomics data integration with machine learning has become the standard approach for combining genomic, transcriptomic, proteomic, and metabolomic measurements collected from the same biological ...

Abstract: The lack of labeled data is a common challenge in speech classification tasks, particularly those requiring extensive subjective assessment, such as cognitive state classification. In this ...

Abstract: Contrastive learning (CL) has recently demonstrated great potential in hyperspectral image (HSI) few-shot classification. However, conventional methods mainly emphasize instance-level ...