Reinforcement learning (RL) can assist in medical decision making using patient data
collected in electronic health record (EHR) systems. RL, a type of machine learning, can use …

For over two decades, detecting rare events has been a challenging task among
researchers in the data mining and machine learning domain. Real-life problems inspire …

Our study investigates the impact of data augmentation on the performance of multivariate
time series models, focusing on datasets from the UCR archive. Despite the limited size of …

Many studies have shown the effectiveness of machine learning in estimating psychological
or physiological states using physiological data as input. However, it is ethically and …

Reinforcement learning (RL) is a type of machine learning designed to optimize sequential
decision-making. While controlled environments have served as a foundation for RL …

Detecting suspicious or unauthorized activities is an important concern for High-
Performance Computing (HPC) systems administrators. Automatic classification of programs …