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2021 (1)
2020 (2)
2019 (5)
2018 (2)
2017 (2)
2016 (1)

(13) Otolith identification using a deep hierarchical classification model M. Stock, B. Nguyen, W. Courtens, H. Verstraete, E. Stienen and B. De Baets (2021) COMPUTERS AND ELECTRONICS IN AGRICULTURE. 180, 105883.

(12) Improved deep embedding learning based on stochastic symmetric triplet loss and local sampling B. Nguyen and B. De Baets (2020) NEUROCOMPUTING. 402, 209-219.

(11) Scalable large-margin distance metric learning using stochastic gradient descent B. Nguyen, C. Morell and B. De Baets (2020) IEEE TRANSACTIONS ON CYBERNETICS. 50, 1072-1083.

(10) Kernel-based distance metric learning for supervised k-means clustering B. Nguyen and B. De Baets (2019) IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS. 30, 3084-3095.

(9) Learning single-cell distances from cytometry data B. Nguyen, P. Rubbens, F.-M. Kerckhof, N. Boon, B. De Baets and W. Waegeman (2019) CYTOMETRY PART A. 95, 782-791.

(8) Assessing the potential of the Qualitative Trajectory Calculus to detect gait pathologies: A case study of children with developmental coordination disorder J. Beernaerts, R. Derie, B. Nguyen, P. Vansteenkiste, B. De Baets, F.J.A. Deconinck, M. Lenoir, D. De Clercq and N. Van de Weghe (2019) COMPUTER METHODS IN BIOMECHANICS AND BIOMEDICAL ENGINEERING. 22, 64-70.

(7) Kernel distance metric learning using pairwise constraints for person re-identification B. Nguyen and B. De Baets (2019) IEEE TRANSACTIONS ON IMAGE PROCESSING. 28, 589-600.

(6) An efficient method for clustered multi-metric learning B. Nguyen, F. Ferri, C. Morell and B. De Baets (2019) INFORMATION SCIENCES. 471, 149-163.

(5) An approach to supervised distance metric learning based on difference of convex functions programming B. Nguyen and B. De Baets (2018) PATTERN RECOGNITION. 81, 562-574.

(4) Distance metric learning for ordinal classification based on triplet constraints B. Nguyen, C. Morell and B. De Baets (2018) INTERNAT. J. KNOWLEDGE-BASED SYSTEMS. 142, 17-28.

(3) Distance metric learning with the Universum B. Nguyen, C. Morell and B. De Baets (2017) PATTERN RECOGNITION LETTERS. 100, 37-43.

(2) Supervised distance metric learning through maximization of the Jeffrey divergence B. Nguyen, C. Morell and B. De Baets (2017) PATTERN RECOGNITION. 64, 215-225.

(1) Large-scale distance metric learning for k-nearest neighbours regression B. Nguyen, C. Morell and B. De Baets (2016) NEUROCOMPUTING. 214, 805-814.

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