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Enhanced ionic conductivity through crystallization of glass-Li3PS4 by machine learning molecular dynamics simulations
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Machine learning-assisted extreme value statistics of anomalies in AlSi10Mg manufactured by L-PBF for robust fatigue strength predictions
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Lightning Location and Peak Current Estimation From Lightning-Induced Voltages on Transmission Lines - With a Machine Learning Approach
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Inference and Denoise - Causal Inference-Based Neural Speech Enhancement
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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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A machine learning approach for differentiating bipolar disorder type II and borderline personality disorder using electroencephalography and cognitive abnormalities - Research article
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Generalisation and expressiveness for over-parameterised neural networks
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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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Exploring Probabilistic Models for Semi-supervised Learning
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Exposome Data Drift: Implications for Machine Learning Based Diabetes Prediction
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