Frontiers

Generalised Machine Learning Models Outperform Personalised Models For Cognitive Load Classification In Real-Life Settings

The final, formatted version of the article will be published soon. By issuing work-break reminders, for example, personal assistants for cognitive load could be beneficial in maintaining health and ...
IEEE

A Fast and Generalizable ML-Assisted Framework for Full-Wave Inverse Scattering

Abstract: This article proposes a novel machine learning (ML)-assisted framework for solving full-wave inverse scattering problems (ISPs) in inhomogeneous, high-contrast media. Traditional ...
GitHub

Revolutionizing Reinforcement Learning Framework for Diffusion Large Language Models

We propose TraceRL, a trajectory-aware reinforcement learning method for diffusion language models, which demonstrates the best performance among RL approaches for DLMs. We also introduce a ...
IEEE

A Robust Prioritization Framework of Data Quality Dimensions to Improve ML-Driven Healthcare Systems Using AHP and Sensitivity Analysis

Abstract: The success of Machine Learning (ML) models in healthcare relies heavily on the quality of data used. High-quality data are crucial for improving the predictive capabilities and the overall ...