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Validation of artificial neural networks as a methodology for donor-recipient matching for liver transplantation
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A Brief Survey of Deep Reinforcement Learning
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Dynamically weighted evolutionary ordinal neural network for solving an imbalanced liver transplantation problem
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Gaussian Process Domain Experts for Modeling of Facial Affect
Most of existing models for facial behavior analysis rely on generic classifiers, which fail to generalize well to previously unseen …
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Model-based Contextual Policy Search for Data-Efficient Generalization of Robot Skills
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Synthetic semi-supervised learning in imbalanced domains: Constructing a model for donor-recipient matching in liver transplantation
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A review of classification problems and algorithms in renewable energy applications
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A study on multi-scale kernel optimisation via centered kernel-target alignment
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Bayesian Optimization for Learning Gaits under Uncertainty
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On the use of nominal and ordinal classifiers for the discrimination of states of development in fish oocytes
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