Bayesian optimization based machine learning for predicting tokamak energy confinement time with quantification of feature importance

Tokamak divertor plasma emulation with machine learning

Single Gaussian process method for arbitrary tokamak regimes with a statistical analysis

Decision support for engineering and design in a fusion pilot-plant concept using Bayesian networks as meta-models

On the potential and limitations of Bayesian ensemble algorithms for the decomposition of time series generated by tokamak diagnostics