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- PhD Thesis
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Supervised distance metric learning for pattern recognition
(2019) -
An approach to supervised distance metric learning based on difference of convex functions programming
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Distance metric learning for ordinal classification based on triplet constraints
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Distance metric learning with the Universum
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Supervised distance metric learning through maximization of the Jeffrey divergence
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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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On the use of evolutionary feature selection for improving fuzzy rough set based prototype selection
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Model-supported business-to-business prospect prediction based on an iterative customer acquisition framework
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Enhancing evolutionary instance selection algorithms by means of fuzzy rough set based feature selection