New research establishes that the metric used to measure link prediction performance is missing crucial information, and link prediction tasks are performing significantly worse than popular ...

This fully updated volume explores a wide array of new and state-of-the-art tools and resources for protein function prediction. Beginning with in-depth overviews of essential underlying computational ...

This study presents a transfer learning–based method for predicting train-induced environmental vibration. The method applies ...

Research team debuts the first visual pre-training paradigm tailored for CTR prediction, lifting Taobao GMV by 0.88% (p < ...

In fields including computer science and data science, it is common practice when predicting outcomes such as customer churn or image recognition to focus on variables with the highest predictive ...