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Okaro, Ikenna, Jayasinghe, Sarini, Sutcliffe, Chris, Black, Kate ORCID: 0000-0003-3638-6518, Paoletti, Paolo ORCID: 0000-0001-6131-0377 and Green, Peter (2019) Automatic Fault Detection for Selective Laser Melting using Semi-Supervised Machine Learning. Additive Manufacturing, 27. pp. 42-53.

Jayasinghe, Jayasinghe (2022) Defect identification of laser powder bed fusion builds using photodiode sensor readings. PhD thesis, University of Liverpool.

Jackson, Ryan David ORCID: 0000-0002-4930-0480 (2021) Emulation of complex dynamic models using Machine Learning Methods. PhD thesis, University of Liverpool.

Green, Peter, Devlin, lee ORCID: 0000-0002-2059-7284, Moore, Robert, Jackson, Ryan ORCID: 0000-0002-4930-0480, Li, Jingli and Maskell, Simon ORCID: 0000-0003-1917-2913 (2021) Increasing the efficiency of Sequential Monte Carlo samplers through the use of approximately optimal L-kernels. Mechanical Systems and Signal Processing, 162. p. 108028.

Mendoza Puchades, Maria (2021) Masonry brick-to-mortar interface variability, for compressive and tensile strength, under blast actions: Experimental testing, numerical modelling challenges and the application of a framework for the treatment of uncertainties. PhD thesis, University of Liverpool.

Roberts, Joseph, Green, Peter, Black, Kate ORCID: 0000-0003-3638-6518 and Sutcliffe, Christopher (2019) Modelling of Metallic Particle Binders for Increased Part Density in Binder Jet Printed Components. Preprints.

Devlin, lee ORCID: 0000-0002-2059-7284, Horridge, paul, Green, Peter and Maskell, simon ORCID: 0000-0003-1917-2913 The No-U-Turn Sampler as a Proposal Distribution in a Sequential Monte Carlo Sampler with a Near-Optimal L-Kernel. arxiv. (Submitted)

Jackson, Ryan ORCID: 0000-0002-4930-0480, Jump, Michael and Green, Peter (2019) Predicting On-Axis Rotorcraft Dynamic Responses Using Machine Learning Techniques. Journal of the American Helicopter Society.

Ellison, Matthew (2021) Robust Optimisation of Computationally Expensive Computational Fluid Dynamics Models using Multi-fidelity Approaches. PhD thesis, University of Liverpool.

Jackson, Ryan ORCID: 0000-0002-4930-0480, Jump, M ORCID: 0000-0002-1028-2334 and Green, Peter (2018) Towards Gaussian Process Models of Complex Rotorcraft Dynamics. In: HS International’s 74th Annual Forum and Technology Display; The Future of Vertical Flight, 2018-5-15 - 2018-5-17, Phoenix, Arizona, USA.

Green, Peter, Chodora, E, Zhu, Z ORCID: 0000-0002-5025-6640 and Atamturktur, S (2018) Towards the Validation of Dynamical Models in Regions where there is no Data. preprints.org.

Echeverria Rios, Diego (2022) A robust-scalable Gaussian process regression approach with applications in float glass manufacture. PhD thesis, University of Liverpool.