Toan Minh Tran
Toan Minh Tran
PhD Candidate, School of Computer Science, University of Adelaide
Verified email at adelaide.edu.au - Homepage
Title
Cited by
Cited by
Year
A bayesian data augmentation approach for learning deep models
T Tran, T Pham, G Carneiro, L Palmer, I Reid
Advances in neural information processing systems, 2797-2806, 2017
842017
A novel genetic algorithm approach for simultaneous feature and classifier selection in multi classifier system
TT Nguyen, AWC Liew, MT Tran, XC Pham, MP Nguyen
2014 IEEE Congress on Evolutionary Computation (CEC), 1698-1705, 2014
192014
Combining multi classifiers based on a genetic algorithm–a gaussian mixture model framework
TT Nguyen, AWC Liew, MT Tran, MP Nguyen
International Conference on Intelligent Computing, 56-67, 2014
132014
A Theoretically Sound Upper Bound on the Triplet Loss for Improving the Efficiency of Deep Distance Metric Learning
TT Do, T Tran, I Reid, V Kumar, T Hoang, G Carneiro
The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019
92019
Bayesian Generative Active Deep Learning
T Tran, TT Do, I Reid, G Carneiro
International Conference on Machine Learning (ICML), 2019
72019
Fusion of classifiers based on a novel 2-stage model
TT Nguyen, AWC Liew, MT Tran, TTT Nguyen, MP Nguyen
International Conference on Machine Learning and Cybernetics, 60-68, 2014
62014
Combining classifiers based on gaussian mixture model approach to ensemble data
TT Nguyen, AWC Liew, MT Tran, MP Nguyen
International Conference on Machine Learning and Cybernetics, 3-12, 2014
22014
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