Paper-Conference

Machine learning paradigms for weed mapping via unmanned aerial vehicles
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Manifold Gaussian Processes for Regression
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Ordinal evolutionary artificial neural networks for solving an imbalanced liver transplantation problem
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Patch Kernels for Gaussian Processes in High-Dimensional Imaging Problems
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Real-Time Community Detection in Large Social Networks on a Laptop
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Representing ordinal input variables in the context of ordinal classification
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Tackling the ordinal and imbalance nature of a melanoma image classification problem
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Variational Gaussian Process Auto-Encoder for Ordinal Prediction of Facial Action Units
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An experimental comparison for the identification of weeds in sunflower crops via unmanned aerial vehicles and object-based analysis
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Distributed Gaussian Processes
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