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Investigating different models that can be used to define the characteristics that influence customer behaviour in the online grocery sector
On leveraging physical knowledge to augment neural network-based surrogate models for simulations
Fatigue Load Emulation of Offshore Wind Turbines Using Advanced Surrogate Models
Finding a rich lower dimensional representation
Surrogate Constitutive Models with Multi-fidelity Gaussian Processes for Composite Micromodels
SCIPoC: Semantic Classification of Indoor Point Cloud: A study into the possibilities of classifying indoor point cloud using a Deep Learning approach
The application of Deep Learning to improving low count SPECT imaging
Interpreting Information of Deep Neural Networks for Profiled Side Channel Analysis
Towards Understanding of Deep Learning in Profiled Side-Channel Analysis: Similarity of predictors measured and explained
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