(13) Otolith identification using a deep hierarchical classification modelM. 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 samplingB. Nguyen and B. De Baets(2020) NEUROCOMPUTING. 402, 209-219. |
(11) Scalable large-margin distance metric learning using stochastic gradient descentB. 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 clusteringB. Nguyen and B. De Baets(2019) IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS. 30, 3084-3095. |
(9) Learning single-cell distances from cytometry dataB. 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 disorderJ. 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-identificationB. Nguyen and B. De Baets(2019) IEEE TRANSACTIONS ON IMAGE PROCESSING. 28, 589-600. |
(6) An efficient method for clustered multi-metric learningB. 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 programmingB. Nguyen and B. De Baets(2018) PATTERN RECOGNITION. 81, 562-574. |
(4) Distance metric learning for ordinal classification based on triplet constraintsB. Nguyen, C. Morell and B. De Baets(2018) INTERNAT. J. KNOWLEDGE-BASED SYSTEMS. 142, 17-28. |
(3) Distance metric learning with the UniversumB. Nguyen, C. Morell and B. De Baets(2017) PATTERN RECOGNITION LETTERS. 100, 37-43. |
(2) Supervised distance metric learning through maximization of the Jeffrey divergenceB. Nguyen, C. Morell and B. De Baets(2017) PATTERN RECOGNITION. 64, 215-225. |
(1) Large-scale distance metric learning for k-nearest neighbours regressionB. Nguyen, C. Morell and B. De Baets(2016) NEUROCOMPUTING. 214, 805-814. |