Composite surrogate for likelihood-free bayesian optimisation in high-dimensional settings of activity-based transportation modelsKuzmanovski, Vladimir; Hollmén, JaakkoAdvances in Intelligent Data Analysis XIX : 19th International Symposium on Intelligent Data Analysis, IDA 2021, Porto, Portugal, April 26–28, 2021 : proceedings2021 / p. 171-183 : ill https://doi.org/10.1007/978-3-030-74251-5_14 Conference proceedings at Scopus Article at Scopus Conference proceedings at WOS Article at WOS Semi-parametric approach to random forests for high-dimensional bayesian optimisationKuzmanovski, Vladimir; Hollmén, JaakkoDiscovery Science : 25th International Conference, DS 2022, Montpellier, France, October 10–12, 2022, Proceedings2022 / p. 418 - 428 https://doi.org/10.1007/978-3-031-18840-4_30 Conference Proceedings at Scopus Article at Scopus Conference Proceedings at WOS Article at WOS