Weekly ThreatsDay recap: old bugs, fake tools, shady payload tricks, AI mishaps, and the usual reminder that the internet is ...

Abstract: Many transfer learning methods have been proposed to implement fault transfer diagnosis, and their loss functions are usually composed of task-related losses, distribution distance losses, ...

Abstract: Information theory-based feature selection (ITFS) methods select a single subset of features for all classes based on the following criteria: 1) minimizing redundancy between the selected ...

This repository contains the MDDTA model, a deep learning-based approach for drug target binding affinity prediction. The code and data provided facilitate training the model and conducting drug ...