This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...

Abstract: Unsupervised feature selection plays a crucial role in dealing with unlabeled high-dimensional data. However, traditional unsupervised feature selection methods have some limitations. They ...

Abstract: Unsupervised anomaly segmentation plays a critical role in real-world industrial product quality inspection. While feature reconstruction-based methods have shown promising performance by ...