Trung Le
Trung Le
Faculty of Information Technology, Monash University, Australia
Verified email at monash.edu - Homepage
Title
Cited by
Cited by
Year
Dual Discriminator Generative Adversarial Nets
TD Nguyen, T Le, H Vu, D Phung
In Advances in Neural Information Processing (NIPS) 2017, 2017
1192017
MGAN: Training Generative Adversarial Nets with Multiple Generators
H Quan, N Tu Dinh, L Trung, P Dinh
In International Conference on Learning Representation (ICLR) 2018, 2018
114*2018
An optimal sphere and two large margins approach for novelty detection
T Le, D Tran, W Ma, D Sharma
IJCNN, 1-6, 2010
282010
Large-scale Online Kernel Learning with Random Feature Reparameterization
TD Nguyen, T Le, H Bui, D Phung
In Proceedings of the 26th International Joint Conference on Artificial …, 2017
262017
Nonparametric Budgeted Stochastic Gradient Descent
T Le, V Nguyen, DT Nguyen, D Phung
The 19th International Conference on Artificial Intelligence and Statistics …, 2016
232016
Dual Space Gradient Descent for Online Learning
T Le, TD Nguyen, V Nguyen, D Phung
In Advances in Neural Information Processing (NIPS) 2016, 2016
222016
Fuzzy support vector machines for age and gender classification
P Nguyen, T Le, D Tran, X Huang, D Sharma
INTERSPEECH, 2806-2809, 2010
202010
EEG-Based Person Verification Using Multi-Sphere SVDD and UBM
P Nguyen, D Tran, T Le, X Huang, M Wanli
PAKDD, 289-300, 2013
182013
Fuzzy Multi-Sphere Support Vector Data Description
T Le, D Tran, M Wanli
PAKDD, 570-581, 2013
172013
Multiple Distribution Data Description Learning Algorithm for Novelty Detection
T Le, D Tran, W Ma, D Sharma
PAKDD, 256-257, 2011
17*2011
Budgeted Semi-supervised Support Vector Machine
T Le, P Duong, M Dinh, TD Nguyen, V Nguyen, D Phung
32th Conference on Uncertainty in Artificial Intelligence, 2016
152016
A Theoretical Framework for Multi-sphere Support Vector Data Description
T Le, D Tran, W Ma, D Sharma
ICONIP, 132-142, 2010
142010
Distributed Data Augmented Support Vector Machine on Spark
T Nguyen, V Nguyen, T Le, D Phung
Proceedings of the 23rd International Conference on Pattern Recognition …, 2016
12*2016
Approximation Vector Machines for Large-scale Online Learning
T Le, TD Nguyen, V Nguyen, D Phung
Journal of Machine Learning Research (JMLR), 2017
102017
Graph-based semi-supervised Support Vector Data Description for novelty detection
P Duong, V Nguyen, M Dinh, T Le, D Tran, W Ma
IJCNN, 1-6, 2015
102015
Kernel-based semi-supervised learning for novelty detection
V Nguyen, T Le, T Pham, M Dinh, HT Le
IJCNN, 4129-4136, 2014
102014
Using EEG artifacts for BCI applications
W Ma, D Tran, T Le, H Lin, SM Zhou
IJCNN, 3628-3635, 2014
102014
Fuzzy entropy semi-supervised support vector data description
T Le, D Tran, T Tran, K Nguyen, M Wanli
International Joint Conference on Neural Networks, 1-5, 2013
92013
Proximity multi-sphere support vector clustering
T Le, D Tran, P Nguyen, W Ma, D Sharma
Neural Computing and Applications 22 (7-8), 1309-1319, 2013
92013
GoGP: Fast Online Regression with Gaussian Processes
T Le, K Nguyen, V Nguyen, N Tu Dinh, D Phung
In International Conference on Data Mining (ICDM 17), 2017
82017
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Articles 1–20