| Supervised distance metric learning through maximization of the Jeffrey divergence B Nguyen, C Morell, B De Baets Pattern Recognition 64, 215-225, 2017 | 90 | 2017 |
| Large-scale distance metric learning for k-nearest neighbors regression B Nguyen, C Morell, B De Baets Neurocomputing 214, 805-814, 2016 | 73 | 2016 |
| Kernel-Based Distance Metric Learning for Supervised k-Means Clustering B Nguyen, B De Baets IEEE Transactions on Neural Networks and Learning Systems, 1-12, 2019 | 61 | 2019 |
| Distance metric learning for ordinal classification based on triplet constraints B Nguyen, C Morell, B De Baets Knowledge-Based Systems 142, 17-28, 2018 | 46 | 2018 |
| Kernel Distance Metric Learning using Pairwise Constraints for Person Re-Identification B Nguyen, B De Baets IEEE Transactions on Image Processing 28 (2), 589 - 600, 2019 | 41 | 2019 |
| Nvc-net: End-to-end adversarial voice conversion B Nguyen, F Cardinaux ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 34 | 2022 |
| An efficient method for clustered multi-metric learning B Nguyen, FJ Ferri, C Morell, B De Baets Information Sciences 471, 149-163, 2019 | 30 | 2019 |
| An approach to supervised distance metric learning based on difference of convex functions programming B Nguyen, B De Baets Pattern Recognition 81, 562-574, 2018 | 27 | 2018 |
| Scalable Large-Margin Distance Metric Learning Using Stochastic Gradient Descent B Nguyen, C Morell, B De Baets IEEE Transactions on Cybernetics, 2018 | 24 | 2018 |
| Aprendizaje supervisado de funciones de distancia: estado del arte B Nguyen, JL Rivero Pérez, C Morell Revista Cubana de Ciencias Informáticas 9 (2), 14-28, 2015 | 20 | 2015 |
| Distance metric learning with the Universum B Nguyen, C Morell, B De Baets Pattern Recognition Letters 100, 37-43, 2017 | 13 | 2017 |
| Improved deep embedding learning based on stochastic symmetric triplet loss and local sampling B Nguyen, B De Baets Neurocomputing 402, 209-219, 2020 | 12 | 2020 |
| Learning single‐cell distances from cytometry data B Nguyen, P Rubbens, FM Kerckhof, N Boon, B De Baets, W Waegeman Cytometry Part A 95 (7), 782-791, 2019 | 6 | 2019 |
| Otolith identification using a deep hierarchical classification model M Stock, B Nguyen, W Courtens, H Verstraete, E Stienen, B De Baets Computers and Electronics in Agriculture 180, 105883, 2020 | 5 | 2020 |
| Distance metric learning: A two-phase approach B Nguyen, C Morell, B De Baets Proceedings of the 25th European Symposium on Artificial Neural Networks …, 2017 | 3* | 2017 |
| Un método eficiente para resolver un problema de programación cuadrática derivado del aprendizaje de funciones de distancia B Nguyen, C Morell, B De Baets Investigación Operacional 37 (2), 124-136, 2016 | 3 | 2016 |
| Improving self-supervised learning for audio representations by feature diversity and decorrelation B Nguyen, S Uhlich, F Cardinaux ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 2 | 2023 |
| AutoTTS: End-to-End Text-to-Speech Synthesis through Differentiable Duration Modeling B Nguyen, F Cardinaux, S Uhlich ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 2 | 2023 |
| Neural predictor for black-box adversarial attacks on speech recognition M Biolková, B Nguyen arXiv preprint arXiv:2203.09849, 2022 | 2 | 2022 |
| Efficient sampling for predictor-based neural architecture search L Mauch, S Tiedemann, JA Garcia, BN Cong, K Yoshiyama, F Cardinaux, ... arXiv preprint arXiv:2011.12043, 2020 | 2 | 2020 |
De Baets BernardGhent UniversityVerified email at ugent.be
