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2020 – today
- 2024
[j19]Hoang Phuc Hau Luu, Hoai Minh Le, Hoai An Le Thi
:
Markov chain stochastic DCA and applications in deep learning with PDEs regularization. Neural Networks 170: 149-166 (2024)- 2023
- [j18]Ronan M. T. Fleming, Hulda S. Haraldsdóttir, Le Hoai Minh, Phan Tu Vuong, Thomas Hankemeier, Ines Thiele:
Cardinality optimization in constraint-based modelling: application to human metabolism. Bioinform. 39(9) (2023) - 2022
- [b2]Hoai Minh Le:
Contribution au développement des méthodes avancées de la programmation DC et DCA pour certaines classes de problèmes d'optimisation non-convexes. Applications en apprentissage automatique. University of Lorraine, Nancy, France, 2022 - [j17]Hoai An Le Thi, Hoang Phuc Hau Luu, Hoai Minh Le, Tao Pham Dinh:
Stochastic DCA with Variance Reduction and Applications in Machine Learning. J. Mach. Learn. Res. 23: 206:1-206:44 (2022) - [e3]Hoai An Le Thi, Tao Pham Dinh, Hoai Minh Le:
Modelling, Computation and Optimization in Information Systems and Management Sciences - Proceedings of the 4th International Conference on Modelling, Computation and Optimization in Information Systems and Management Sciences - MCO 2021, Hanoi, Vietnam, 13-14 December 2021. Lecture Notes in Networks and Systems 363, Springer 2022, ISBN 978-3-030-92665-6 [contents] - 2021
- [j16]Hoai An Le Thi, Hoai Minh Le, Duy Nhat Phan, Bach Tran:
Novel DCA based algorithms for a special class of nonconvex problems with application in machine learning. Appl. Math. Comput. 409: 125904 (2021) - 2020
- [j15]Hoai An Le Thi, Hoai Minh Le, Duy Nhat Phan, Bach Tran:
Stochastic DCA for minimizing a large sum of DC functions with application to multi-class logistic regression. Neural Networks 132: 220-231 (2020) - [c17]Viet Anh Nguyen, Hoai An Le Thi, Hoai Minh Le:
A DCA Based Algorithm for Feature Selection in Model-Based Clustering. ACIIDS (1) 2020: 404-415 - [e2]Hoai An Le Thi, Hoai Minh Le, Tao Pham Dinh, Ngoc Thanh Nguyen:
Advanced Computational Methods for Knowledge Engineering - Proceedings of the 6th International Conference on Computer Science, Applied Mathematics and Applications, ICCSAMA 2019, Hanoi, Vietnam, December 19-20, 2019. Advances in Intelligent Systems and Computing 1121, Springer 2020, ISBN 978-3-030-38363-3 [contents] - [e1]Hoai An Le Thi, Hoai Minh Le, Tao Pham Dinh:
Optimization of Complex Systems: Theory, Models, Algorithms and Applications, WCGO 2019, World Congress on Global Optimization, Metz, France, 8-10 July, 2019. Advances in Intelligent Systems and Computing 991, Springer 2020, ISBN 978-3-030-21802-7 [contents]
2010 – 2019
- 2019
- [c16]Hoai Minh Le, Vo Xuanthanh:
Reweighted ℓ 1 Algorithm for Robust Principal Component Analysis. ICCSAMA 2019: 133-142 - [c15]Gabriel Da Silva, Hoai Minh Le, Hoai An Le Thi, Vincent Lefieux, Bach Tran:
Customer Clustering of French Transmission System Operator (RTE) Based on Their Electricity Consumption. WCGO 2019: 893-905 - [i3]Hoai An Le Thi, Hoai Minh Le, Phan Duy Nhat, Bach Tran:
Stochastic DCA for minimizing a large sum of DC functions with application to Multi-class Logistic Regression. CoRR abs/1911.03992 (2019) - 2018
- [c14]Phan Duy Nhat, Hoai Minh Le, Hoai An Le Thi:
Accelerated Difference of Convex functions Algorithm and its Application to Sparse Binary Logistic Regression. IJCAI 2018: 1369-1375 - [i2]Hoai An Le Thi, Hoai Minh Le, Phan Duy Nhat, Bach Tran:
A DCA-Like Algorithm and its Accelerated Version with Application in Data Visualization. CoRR abs/1806.09620 (2018) - 2017
- [c13]Hoai An Le Thi, Hoai Minh Le, Duy Nhat Phan, Bach Tran:
Stochastic DCA for Sparse Multiclass Logistic Regression. ICCSAMA 2017: 1-12 - [c12]Hoai An Le Thi, Hoai Minh Le, Phan Duy Nhat, Bach Tran:
Stochastic DCA for the Large-sum of Non-convex Functions Problem and its Application to Group Variable Selection in Classification. ICML 2017: 3394-3403 - 2015
- [j14]Hoai An Le Thi, Tao Pham Dinh, Hoai Minh Le, Xuan Thanh Vo:
DC approximation approaches for sparse optimization. Eur. J. Oper. Res. 244(1): 26-46 (2015) - [j13]Le Hoai Minh, Le Thi Hoai An, Manh Cuong Nguyen:
Sparse semi-supervised support vector machines by DC programming and DCA. Neurocomputing 153: 62-76 (2015) - [j12]Hoai An Le Thi, Le Hoai Minh, Tao Pham Dinh:
Feature selection in machine learning: an exact penalty approach using a Difference of Convex function Algorithm. Mach. Learn. 101(1-3): 163-186 (2015) - [c11]Thi Bich Thuy Nguyen, Hoai An Le Thi, Hoai Minh Le, Xuan Thanh Vo:
DC Approximation Approach for ℓ0-minimization in Compressed Sensing. ICCSAMA 2015: 37-48 - 2014
- [j11]Le Thi Hoai An, Le Hoai Minh, Pham Dinh Tao:
New and efficient DCA based algorithms for minimum sum-of-squares clustering. Pattern Recognit. 47(1): 388-401 (2014) - [j10]Tao Pham Dinh, Le Hoai Minh, Hoai An Le Thi, Fabien Lauer:
A Difference of Convex Functions Algorithm for Switched Linear Regression. IEEE Trans. Autom. Control. 59(8): 2277-2282 (2014) - [j9]Le Hoai Minh, Minh Thuy Ta:
DC Programming and DCA for Solving Minimum Sum-of-Squares Clustering Using Weighted Dissimilarity Measures. Trans. Comput. Collect. Intell. 13: 113-131 (2014) - [i1]Hoai An Le Thi, Tao Pham Dinh, Le Hoai Minh, Xuan Thanh Vo:
DC approximation approaches for sparse optimization. CoRR abs/1407.0286 (2014) - 2013
- [j8]Le Thi Hoai An, Le Hoai Minh, Tao Pham Dinh, Ngai Van Huynh:
Binary classification via spherical separator by DC programming and DCA. J. Glob. Optim. 56(4): 1393-1407 (2013) - [j7]Le Hoai Minh, Le Thi Hoai An, Tao Pham Dinh, Ngai Van Huynh:
Block Clustering Based on Difference of Convex Functions (DC) Programming and DC Algorithms. Neural Comput. 25(10): 2776-2807 (2013) - [c10]Le Thi Hoai An, Bich Thuy Nguyen Thi, Le Hoai Minh:
Sparse Signal Recovery by Difference of Convex Functions Algorithms. ACIIDS (2) 2013: 387-397 - [c9]Le Hoai Minh, Le Thi Hoai An, Manh Cuong Nguyen:
DCA Based Algorithms for Feature Selection in Semi-supervised Support Vector Machines. MLDM 2013: 528-542 - [p1]Le Hoai Minh, Bich Thuy Nguyen Thi, Minh Thuy Ta, Le Thi Hoai An:
Image Segmentation via Feature Weighted Fuzzy Clustering by a DCA Based Algorithm. Advanced Computational Methods for Knowledge Engineering 2013: 53-63 - 2012
- [j6]Hoai Minh Le, Adnan Yassine, Riadh Moussi:
DCA for solving the scheduling of lifting vehicle in an automated port container terminal. Comput. Manag. Sci. 9(2): 273-286 (2012) - [j5]Le Hoai Minh, Adnan Yassine, Riadh Moussi:
Scheduling of lifting vehicle and quay crane in automated port container terminals. Int. J. Intell. Inf. Database Syst. 6(6): 516-531 (2012) - [c8]Le Hoai Minh, Le Thi Hoai An, Pham Dinh Tao:
Gaussian Kernel Minimum Sum-of-Squares Clustering and Solution Method Based on DCA. ACIIDS (2) 2012: 331-340 - 2011
- [c7]Le Hoai Minh, Le Thi Hoai An, Pham Dinh Tao, Ngai Van Huynh:
An Efficient DCA for Spherical Separation. ACIIDS (2) 2011: 421-431 - 2010
- [j4]Le Hoai Minh, Le Thi Hoai An, Pham Dinh Tao, Pascal Bouvry:
A combined DCA: GA for constructing highly nonlinear balanced boolean functions in cryptography. J. Glob. Optim. 47(4): 597-613 (2010)
2000 – 2009
- 2009
- [c6]Le Thi Hoai An, Le Hoai Minh, Pham Dinh Tao, Pascal Bouvry:
Solving the Perceptron Problem by deterministic optimization approach based on DC programming and DCA. INDIN 2009: 222-226 - 2008
- [j3]Le Thi Hoai An, Le Hoai Minh, Van Vinh Nguyen, Pham Dinh Tao:
A DC programming approach for feature selection in support vector machines learning. Adv. Data Anal. Classif. 2(3): 259-278 (2008) - [c5]Le Thi Hoai An, Le Hoai Minh, Nguyen Trong Phuc, Pham Dinh Tao:
Noisy Image Segmentation by a Robust Clustering Algorithm Based on DC Programming and DCA. ICDM 2008: 72-86 - [c4]Le Thi Hoai An, Le Hoai Minh, Van Vinh Nguyen, Pham Dinh Tao:
Combined feature selection and classification using DCA. RIVF 2008: 233-239 - 2007
- [b1]Hoai Minh Le:
Modélisation et optimisation non convexe basées sur la programmation DC et DCA pour la résolution de certaines classes des problèmes en fouille de données et cryptologie. (The non-convex modeling and optimization based on the DC programming and DCA for the resolution of certain classes of problems in Data Mining and cryptology). University of Metz, France, 2007 - [j2]Le Thi Hoai An, Le Hoai Minh, Pham Dinh Tao:
Fuzzy clustering based on nonconvex optimisation approaches using difference of convex (DC) functions algorithms. Adv. Data Anal. Classif. 1(2): 85-104 (2007) - [j1]Le Thi Hoai An, Le Hoai Minh, Pham Dinh Tao:
Optimization based DC programming and DCA for hierarchical clustering. Eur. J. Oper. Res. 183(3): 1067-1085 (2007) - [c3]Le Thi Hoai An, Le Hoai Minh, Pham Dinh Tao:
Une nouvelle approche de la programmation DC et DCA pour la classification floue. EGC 2007: 703-714 - 2006
- [c2]Le Hoai Minh, Le Thi Hoai An, Tao Pham Dinh, Pascal Bouvry:
A Deterministic Optimization Approach for Generating Highly Nonlinear Balanced Boolean Functions in Cryptography. HPSC 2006: 381-391 - [c1]Le Hoai Minh, Le Thi Hoai An, Pham Dinh Tao:
Hierarchical Clustering Based on Mathematical Optimization. PAKDD 2006: 160-173
Coauthor Index
aka: Hoai An Le Thi
aka: Pham Dinh Tao
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