Explainable AI (XAI) emerges as a solution ... balancing the high accuracy of a deep learning model with the client's need for interpretability to meet internal governance and GDPR compliance ...

This is stated in plain text on our website, and we can use Schema.org to express this in JSON-LD, which allows machines ... accuracy of the information. This means that the content knowledge ...

Experience how advanced machines are revolutionizing work by enhancing both speed and accuracy. Watch as cutting-edge technology takes over, completing tasks faster while maintaining impeccable ...

Initially, various machine ... obesity by using XAI techniques such as partial dependence graphs, permutation significance, and LIME (Local Interpretable Model-agnostic Explanations). This dual ...

Early detection and accurate prediction of T2DM is crucial for effective management and prevention. This study explores the integration of machine learning (ML) and explainable artificial intelligence ...

The best-performing model for the classification of 1-year OS was the extreme gradient boosting algorithm ... and the nonuse of steroids. An explainable ML approach can provide a reliable prediction ...