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Developing predictive models for the load-displacement response of laterally loaded reinforced concrete piles in stiff unsaturated clay using machine learning algorithms
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Advancing models of the visual system using spiking neural networks optimized for temporal prediction
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Bayesian Quadrature for Gaussian Process Kernel Learning - Neural Ensemble Search - and High Dimensional Integrands - Thesis
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Bayesian Optimization in Adverse Scenarios - Doctor of Philosophy Thesis
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ENGINEERING FOR HEALTH - Evaluation of Radiomic Analysis over the Comparison of Machine Learning Approach and Radiomic Risk Score on Glioblastoma
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Generalisation and expressiveness for over-parameterised neural networks
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Exploring Probabilistic Models for Semi-supervised Learning
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How Valid Are Trust Survey Measures - New Insights From Open-Ended Probing Data and Supervised Machine Learning
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Exposome Data Drift: Implications for Machine Learning Based Diabetes Prediction
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Machine Learning Approaches For Slice To Volume Biomedical Data Integration - Doctor of Philosophy Thesis
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Predicting life engagement and happiness from gaming motives and primary emotional traits before and during the COVID pandemic - a machine learning approach
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Planning with Learned Ignorance-Aware Models - Doctor of Philosophy Dissertation
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Accurate prediction of HLA class II antigen presentation across all loci using tailored data acquisition and refined machine learning
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Who will sign a double tax treaty next? - A prediction based on economic determinants and machine learning algorithms
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