Simon Olofsson | Sustainability and Machine Learning Group

Gaussian Processes for Hybridisation of Analytical and Data-Driven Approaches for Design of Experiments (2020)
GPdoemd: A Python Package for Design of Experiments for Model Discrimination (2019)
Bayesian Multi-Objective Optimisation with Mixed Analytical and Black-Box Functions: Application to Tissue Engineering (2018)
Design of Experiments for Model Discrimination Hybridising Analytical and Data-Driven Approaches (2018)
Bayesian Multi-Objective Optimisation of Neotissue Growth in a Perfusion Bioreactor Set-up (2017)

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