IEEE

An interpretable model for the diagnosis of Alzheimer’s disease using deep learning and machine learning

Abstract: Combining multiple data sources can provide a comprehensive approach to Alzheimer’s disease (AD) staging analysis. This study presents a deep learning (DL) and machine learning (ML) approach ...

Rand Fishkin proved AI recommendations are inconsistent – here’s why and how to fix it

AI outputs vary because confidence varies. Corroboration and entity optimization turn inconsistent AI visibility into consistent presence.
IEEE

Overcoming Overfitting in Reinforcement Learning via Gaussian Process Diffusion Policy

Abstract: One of the key challenges that Reinforcement Learning (RL) faces is its limited capability to adapt to a change of data distribution caused by uncertainties. This challenge arises especially ...