Sustainability and Machine Learning Group
Sustainability and Machine Learning Group
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    Publications

    • 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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