Recent advances in materials informatics exploiting machine-learning techniques, such as Bayesian optimization (BO) and artificial neural networks, offer an opportunity to accelerate materials ...

Chemists also commonly utilize systematic, model-driven approaches to reaction optimization 11,12,13. For example, design of experiments (DOE) seeks to sample experimental conditions that facilitate ...

figure 1 - Validation accuracy across Bayesian Optimization iterations shows strong performance with several parameter sets achieving >95% accuracy. While some iterations explored suboptimal regions, ...

In this repository you can find the MATLAB code that accompanies the paper "Beyond p-values in the evaluation of brain-computer interfaces" (preprint available at ...

Abstract: Active mapping is a critical capability for robotic exploration tasks such as field rescue and environmental monitoring, where the objective is to plan informative trajectories that maximize ...

Abstract: As awareness of data privacy protection continues to grow, many-task optimization faces a significant challenge in balancing privacy protection and performance improvement. This paper ...