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- Journal Article
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- open access
ASAP-A sub-sampling approach for preserving topological structures modeled with geodesic topographic mapping
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- Journal Article
- A1
- open access
Training binary neural networks with knowledge transfer
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Improved deep embedding learning based on stochastic symmetric triplet loss and local sampling
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- Journal Article
- A1
- open access
Conditional BRUNO : a neural process for exchangeable labelled data
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- Journal Article
- A1
- open access
Detecting adversarial manipulation using inductive Venn-ABERS predictors
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- Journal Article
- A1
- open access
On the application of reservoir computing networks for noisy image recognition
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Large-scale distance metric learning for k-nearest neighbors regression
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EPRENNID : an evolutionary prototype reduction based ensemble for nearest neighbor classification of imbalanced data
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Improved texture image classification through the use of a corrosion-inspired cellular automaton
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The NETCOVER algorithm for the reconstruction of causal networks