| Gogp: Fast online regression with gaussian processes T Le, K Nguyen, V Nguyen, TD Nguyen, D Phung 2017 IEEE International Conference on Data Mining (ICDM), 257-266, 2017 | 27 | 2017 |
| Multiple kernel learning with data augmentation K Nguyen, T Le, V Nguyen, T Nguyen, D Phung Asian Conference on Machine Learning, 49-64, 2016 | 11 | 2016 |
| Robust Bayesian Kernel Machine via Stein Variational Gradient Descent for Big Data K Nguyen, T Le, TD Nguyen, D Phung, GI Webb Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018 | 7 | 2018 |
| GoGP: scalable geometric-based Gaussian process for online regression T Le, K Nguyen, V Nguyen, TD Nguyen, D Phung Knowledge and Information Systems, 1-30, 2018 | 5 | 2018 |
| Mixture of support vector data descriptions V Lai, D Nguyen, K Nguyen, T Le Information and Computer Science (NICS), 2015 2nd National Foundation for …, 2015 | 5 | 2015 |
| Least square Support Vector Machine for large-scale dataset K Nguyen, T Le, V Lai, D Nguyen, D Tran, W Ma Neural Networks (IJCNN), 2015 International Joint Conference on, 1-8, 2015 | 5 | 2015 |
| Fast one-class support vector machine for novelty detection T Le, D Phung, K Nguyen, S Venkatesh Pacific-Asia Conference on Knowledge Discovery and Data Mining, 189-200, 2015 | 5 | 2015 |
| Nonparametric online machine learning with kernels K Nguyen Proceedings of the 26th International Joint Conference on Artificial …, 2017 | 4 | 2017 |
| Mixture of hyperspheres for novelty detection D Nguyen, V Lai, K Nguyen, T Le Vietnam Journal of Computer Science 3 (4), 223-233, 2016 | 2 | 2016 |
| Fast kernel-based method for anomaly detection A Le, T Le, K Nguyen, V Nguyen, TH Le, D Tran Neural Networks (IJCNN), 2016 International Joint Conference on, 3211-3217, 2016 | 2 | 2016 |
| Sparse adaptive multi-hyperplane machine K Nguyen, T Le, V Nguyen, D Phung Pacific-Asia Conference on Knowledge Discovery and Data Mining, 27-39, 2016 | 2 | 2016 |
| Scalable Semi-supervised Learning with Graph-based Kernel Machine T Le, K Nguyen, V Nguyen, V Nguyen, D Phung arXiv preprint arXiv:1606.06793, 2016 | 1 | 2016 |
| Analogical-based Bayesian Optimization T Le, K Nguyen, TD Nguyen, D Phung arXiv preprint arXiv:1709.06390, 2017 | | 2017 |
| Stochastic gradient descent for minimal enclosing ball H Dang, T Le, K Nguyen, NM Ngo Information and Computer Science (NICS), 2016 3rd National Foundation for …, 2016 | | 2016 |
| Graph-based Kernel Machine for Scalable Semi-supervised Learning T Le, K Nguyen, V Nguyen, V Nguyen, D Phung arXiv preprint arXiv:1606.06793, 2016 | | 2016 |
| Scalable Support Vector Machine for Semi-supervised Learning T Le, K Nguyen, V Nguyen, V Nguyen, D Phung CoRR, 2016 | | 2016 |
| Bayesian Multi-Hyperplane Machine K Nguyen, T Le, TD Nguyen, D Phung | | |
Trung LeFaculty of Information Technology, Monash University, AustraliaVerified email at monash.edu
