A. PHẦN BẢN THÂN

B. PHẦN DANH MỤC

1. D. Tran, W. Ma, D. Sharma, L. Bui and T. Le, A Generic Framework for Soft Subspace Pattern Recognition, in Theory and Novel Applications of Machine Learning, ISBN 978-953-7619-55-4.
2. T. Hoang, D. Tran, D. Sharma, T. Le and B.H. Le, Priority Watermarking-Based Face-Fingerprint Authentication System, in ICIMT 2009.
3. T. Le, D. Tran, W. Ma and D. Sharma, A New Fuzzy Membership Computation Method for Fuzzy Support Vector Machines, in Proceedings of the International Conference on Communications and Electronics (HUT-ICCE), pp. 153-157, 2010.
4. T. Le, D. Tran, W. Ma and D. Sharma, A New Support Vector Machine Method for Medical Image Classification, in Proceedings of European Workshop on Visual Information Processing (EUVIP), Paris, pp. 165-170, 2010.
5. T. Le, D. Tran, W. Ma and D. Sharma, An Optimal Sphere and Two Large Margins Approach for Novelty Detection, in Proceedings of WCCI (IJCNN), pp. 909-914, 2010 (ERA rank: A).
6. P. Nguyen, T. Le, D. Tran, X. Huang and D. Sharma. Fuzzy Support Vector Machines for Age and Gender Classification. International Conference on Spoken Language Processing (INTERSPEECH) 2010 (ERA rank: A).
7. T. Le, D. Tran, W. Ma and D. Sharma, A Theoretical Framework for Multi-Sphere Support Vector Data Description, in Proceedings of ICONIP conference, Lecture Notes in Computer Science, 2010, Volume 6444/2010, pp. 132-142, 2010 (ERA rank: A).
8. T. Hoang, P. Nguyen, T. Le, D. Tran and D. Sharma. Enhancing Performance of SVM-Based Brain-Computer Interface Systems. Special ICONIP issue of the Australian Journal of Intelligent Information Systems, vol. 11, no. 3, 2010 (ERArank: A).
9. T. Le, D. Tran, W. Ma and D. Sharma, Multiple Distribution Data Description Learning Algorithm for Novelty Detection, in Proceedings of The 15th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2011, LNAI 6635, Shengzhen, China, pp. 246-257 (ERA rank: A).
10. T. Le, D. Tran, P. Nguyen, W. Ma and D. Sharma, Multiple Distribution Data Description Learning Method for Novelty Detection, in Proceedings of The International Joint Conference on Neural Networks (IJCNN), San Jose, USA, 31/7- 5/8/2011, pp. 2321-2326 (ERA rank: A).
11. T. Le, D. Tran, W. Ma and D. Sharma, A Novel Parameter Refinement Approach to One Class Support Vector Machine, ICDM 2011, NewYork (accepted).
12. T. Le, D. Tran, P. Nguyen, W. Ma and D. Sharma, Multi-Sphere Support Vector Clustering, ICDM 2011, NewYork (accepted).
13. T. Le, D. Tran, P. Nguyen, W. Ma and D. Sharma, Multi-Sphere Support Vector Clustering, ICONIP 2011, China. Lecture Notes in Computer Science, 2011, vol. 7063, pp. 537-544 (ERA rank: A).
14. T. Le, D. Tran, W. Ma and D. Sharma, A Novel Parameter Refinement Approach to One Class Support Vector Machine, ICONIP 2011, China. Lecture Notes in Computer Science, 2011, vol. 7063, pp. 529-536 (ERA rank: A).
15. T. Le, D. Tran, T. Hoang, W. Ma and D. Sharma, Generalised Support Vector Machine for Brain Computer Interface, ICONIP 2011, China. Lecture Notes in Computer Science, 2011, vol. 7062, pp. 692-700 (ERA rank: A).
16. P. Nguyen, D. Tran, T. Le, T. Hoang and D. Sharma, Multi-sphere Support Vector Data Description for Brain-Computer Interface, ICCE 2012.
17. T. Le, D. Tran, T. Hoang, W. Ma and D. Sharma, Unified Support Vector Machine, FUZZ-IEEE 2012, Australia (ERA rank: A).
18. T. Le, D. Tran, W. Ma and D. Sharma, Fuzzy Multi-sphere Support Vector Data Description, IJCNN 2012, Australia (ERA rank: A).
19. T. Le, D. Tran, P. Nguyen, W. Ma and D. Sharma, Proximity Multi-sphere Support Vector Clustering, Neural Computing and Applications, pp. 1-11.
20. T. Hoang, D. Tran, K. Truong, T. Le, X. Huang, D. Sharma, T. Vo, Time Domain Parameters for Online Feedback fNIRS-based Brain-Computer Interface Systems, ICONIP 2012.
21. T. Le, D. Tran, W. Ma and D. Sharma, Deterministic Annealing Multi-Sphere Support Vector Data Description, ICONIP 2012.
22. T. Le, D. Tran, W. Ma and D. Sharma, Maximal Margin Kernel Learning Vector Quantisation for Binary Classification, ICONIP 2012.
23. T. Le, D. Tran, W. Ma and D. Sharma, Fuzzy Multi-Sphere Support Vector Data Description, PAKDD 2013 (ERA rank: A)
24. P. Nguyen, D. Tran, T. Le, X. Huang, EEG-based Person Verification Using Multi-Sphere SVDD and UBM, PAKDD 2013 (ERA rank: A)
25. T. Le, D. Tran, V. Nguyen , and W. Ma, Fuzzy Entropy Semi-supervised Support Vector Data Description, IJCNN 2013
26. T. Le, D. Tran, T. Tran, K. Nguyen, and W. Ma, Maximal Margin Learning Vector Quantisation, IJCNN
    2013
27. T. Le, P. Duong, M. Nguyen, T. Pham, and M. Dinh, Fuzzy Unified Support Vector Machine, ELATE 2013, Special Issue of HCMUP Journal of Science.
28. T. Le, D. Tran, W. Ma, T. Pham, P. Duong, and M. Nguyen, Robust Support Vector Machine, IJCNN 2014. (ERA rank: A)
29. V. Nguyen, T. Le, T. Pham, M. Dinh, H-T. Le, Kernel-based Semi-supervised Learning for Novelty Detection, IJCNN 2014. (ERA rank: A)
30. W. Ma, D. Tran, T. Pham, T. Le, and H. Lin, Using EEG Artifacts for BCI Applications, IJCNN 2014. (ERA rank: A)
31. T. Le, V. Nguyen, T. Pham, M. Dinh, and H-T. Le, Semi-supervised Large Margin One-class Support Vector Machine for Novelty Detection, NICS 2014.
32. T. Le, P. Duong, M. Nguyen, V. Nguyen, and V. Ngo, Fuzzy Large Margin One-class Support Vector Machine, NICS 2014.
33. T. Pham, H. Dang, T. Le, H. T. Le. "Fast Support Vector Clustering", Vietnam Journal of Computer Science (VJCS) (2016).
34. T. Le, V. Nguyen, D. T. Nguyen, D. Phung, "Nonparametric Budgeted Stochastic Gradient Descent", AISTATS 16. (ERA rank: A*)
35. K. Nguyen, T. Le, V. Nguyen, D. Phung, "Sparse Adaptive Multi-Hyperplane Machine", PAKDD 16. (ERA rank: A)
36. P. Duong, V. Nguyen, M. Dinh, T. Le, D. Tran, and W. Ma, "Graph-based semi-supervised Support Vector Data Description for novelty detection", in Neural Networks (IJCNN), 2015 International
    Joint Conference on , vol., no., pp.1-6, 12-17 July 2015. (ERA rank:A).
37. K. Nguyen, T. Le, V. Lai, D. Nguyen, D. Tran, W. Ma, "Least square Support Vector Machine for large-scale dataset", in Neural Networks (IJCNN), 2015 International Joint Conference on , vol., no.,
    pp.1-8, 12-17 July 2015. (ERA rank: A).
38. T. Le, D. Phung, K. Nguyen, S. Venkatesh, "Fast One-class Support Vector Machine", ICML Workshop 2015.
39. T. D. Nguyen, V. Nguyen, T. Le, D. Phung, Sparkling Vector Machines, NIPS Workshop 2015. (ERA rank: A*).
40. V. Nguyen, D. Phung, T. Le, S. Venkatesh, "Large Sample Asymptotic for Nonparametric Mixture Model with Count Data", NIPS Workshop 2015. (ERA rank: A*).
41. T. Le, V. Nguyen, A. Nguyen, K. Nguyen, "Adaptable linear support vector machine", in Information and Computer Science (NICS), 2015 2nd National Foundation for Science and Technology Development
    Conference on , vol., no., pp.94-98, 16-18 Sept. 2015.
42. T. Pham, H. Dang, T. Le, H-T Le, "Stochastic gradient descent support vector clustering", in Information and Computer Science (NICS), 2015 2nd National Foundation for Science and Technology Development
    Conference on , vol., no., pp.88-93, 16-18 Sept. 2015.
43. V. Lai, D. Nguyen, K. Nguyen, T. Le, "Mixture of Support Vector Data Descriptions", in Information and Computer Science (NICS), 2015 2nd National Foundation for Science and Technology Development
    Conference on , vol., no., pp.135-140, 16-18 Sept. 2015.
44. T. Le, D. Phung, K. Nguyen, and S. Venkatesh, "Fast One-Class Support Vector Machine for Novelty Detection", In Advances in Knowledge Discovery and Data Mining (pp. 189-200) (2015). Springer International Publishing. (ERA rank: A).
45. T. Le, D. Tran, W. Ma, T. Pham, P. Duong, and M. Nguyen, "Robust Support Vector Machine", IJCNN 2014. (ERA rank: A)