BARTS (Bayesian additive regression trees). Also just in general ensemble learning is a useful approach to advance modeling in other areas with different kinds of data. For example, the area im reading about now which is time series classification has a ton of literature on time series models using ensemble learners under the hood. For example check out models like Arsenal, ProxmityForest, or other ensemble based methods for time series classification