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Evolving controllable emergent crowd behaviours with Neuro-Evolution
Published 2016Get full text
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Multi-curve bootstrapping and implied discounting curves in illiquid markets
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Bridging urban discontent
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AI/Machine learning approach to identifying potential statistical arbitrage opportunities with FX and Bitcoin Markets
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Searching for patterns in Conway's Game of Life
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Parameter learning with particle filters
Published 2021“…Common applications of asset-pricing models in practice rely on recalibrating model parameters periodically for effective risk management. …”
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Computational Psychiatry - Neuropsychological Bayesian reinforcement learning
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Solutions to the conjugacy search and decision problems in the braid group using finite conjugacy class invariants
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Biologically motivated reinforcement learning in spiking neural networks
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A spaceborne synthetic aperture radar data processor
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Approximating a wavelet kernel using a quantum computer
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Person tracking in 3D using Kalman filtering in single and multiple camera environments
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Credit scorecards in retail banking: enhancing interpretability through shapley values and evaluating the effectiveness of alternative data for improved accuracy
Published 2025“…While machine learning algorithms like random forest and eXtreme gradient boosting outperform traditional logistic regression in accuracy, their complex predictor variable representation hinders interpretability. …”
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Time domain synthetic aperture radar image processing using fast factorised backprojection
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Dynamic modelling of arch dams in the ambient state
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Evaluation of optimal control-based deformable registration model
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The development of a generic just-in-time supply chain optimisation software tool
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Presisie landing van 'n onbemande vliegtuig
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Some exponential diophantine equations
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