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Manh Cuong Nguyen
Manh Cuong Nguyen
Hanoi University of Industry
Verified email at haui.edu.vn
Title
Cited by
Cited by
Year
Sparse semi-supervised support vector machines by DC programming and DCA
HM Le, HA Le Thi, MC Nguyen
Neurocomputing 153, 62-76, 2015
302015
Self-organizing maps by difference of convex functions optimization
HA Le Thi, MC Nguyen
Data Mining and Knowledge Discovery 28, 1336-1365, 2014
292014
DCA based algorithms for feature selection in multi-class support vector machine
HA Le Thi, MC Nguyen
Annals of Operations Research 249 (1), 273-300, 2017
272017
A DC programming approach for finding communities in networks
HA Le Thi, MC Nguyen, TP Dinh
Neural computation 26 (12), 2827-2854, 2014
252014
Efficient algorithms for feature selection in multi-class support vector machine
HA Le Thi, MC Nguyen
Advanced Computational Methods for Knowledge Engineering, 41-52, 2013
102013
DCA based algorithms for feature selection in semi-supervised support vector machines
HM Le, HA Le Thi, MC Nguyen
Machine Learning and Data Mining in Pattern Recognition: 9th International …, 2013
62013
A method for reducing the number of support vectors in fuzzy support vector machine
N Manh Cuong, N Van Thien
Advanced Computational Methods for Knowledge Engineering: Proceedings of the …, 2016
52016
Network intrusion detection based on multi-class support vector machine
AV Le, HA Le Thi, MC Nguyen, A Zidna
Computational Collective Intelligence. Technologies and Applications: 4th …, 2012
42012
A DC programming approach for sparse linear discriminant analysis
PD Nhat, MC Nguyen, HA Le Thi
Advanced Computational Methods for Knowledge Engineering: Proceedings of the …, 2014
32014
Mod-Müllner: an efficient algorithm for hierarchical community analysis in large networks
B Conan-Guez, MC Nguyen
International Journal of Social Network Mining 2 (2), 133-157, 2015
12015
DC programming and DCA for some classes of problems in machine learning and data mining
MC Nguyen
Université de Lorraine, 2014
2014
LA PROGRAMMATION DC ET DCA POUR CERTAINES CLASSES DE PROBLEMES EN APPRENTISSAGE ET FOUILLE DE DONEES.
NM Cuong
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Articles 1–12