A Deterministic Optimization Approach for Generating Highly Nonlinear Balanced Boolean Functions in Cryptography. - Le Hoai Minh; Le Thi Hoai An; Tao Pham Dinh; Pascal Bouvry (HPSC, 2006)

Hierarchical Clustering Based on Mathematical Optimization. - Le Hoai Minh; Le Thi Hoai An; Pham Dinh Tao (PAKDD, 2006)

Une nouvelle approche de la programmation DC et DCA pour la classification floue. - Le Thi Hoai An; Le Hoai Minh; Pham Dinh Tao (EGC, 2007)

Fuzzy clustering based on nonconvex optimisation approaches using difference of convex (DC) functions algorithms. - Le Thi Hoai An; Le Hoai Minh; Pham Dinh Tao (Adv. Data Anal. Classif., 2007)

Optimization based DC programming and DCA for hierarchical clustering. - Le Thi Hoai An; Le Hoai Minh; Pham Dinh Tao (Eur. J. Oper. Res., 2007)

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). - Hoai Minh Le (2007)

Noisy Image Segmentation by a Robust Clustering Algorithm Based on DC Programming and DCA. - Le Thi Hoai An; Le Hoai Minh; Nguyen Trong Phuc; Pham Dinh Tao (ICDM, 2008)

Combined feature selection and classification using DCA. - Le Thi Hoai An; Le Hoai Minh; Van Vinh Nguyen; Pham Dinh Tao (RIVF, 2008)

A DC programming approach for feature selection in support vector machines learning. - Le Thi Hoai An; Le Hoai Minh; Van Vinh Nguyen; Pham Dinh Tao (Adv. Data Anal. Classif., 2008)

Solving the Perceptron Problem by deterministic optimization approach based on DC programming and DCA. - Le Thi Hoai An; Le Hoai Minh; Pham Dinh Tao; Pascal Bouvry (INDIN, 2009)

A combined DCA: GA for constructing highly nonlinear balanced boolean functions in cryptography. - Le Hoai Minh; Le Thi Hoai An; Pham Dinh Tao; Pascal Bouvry (J. Glob. Optim., 2010)

An Efficient DCA for Spherical Separation. - Le Hoai Minh; Le Thi Hoai An; Pham Dinh Tao; Ngai Van Huynh (ACIIDS (2), 2011)

Gaussian Kernel Minimum Sum-of-Squares Clustering and Solution Method Based on DCA. - Le Hoai Minh; Le Thi Hoai An; Pham Dinh Tao (ACIIDS (2), 2012)

DCA for solving the scheduling of lifting vehicle in an automated port container terminal. - Hoai Minh Le; Adnan Yassine; Riadh Moussi (Comput. Manag. Sci., 2012)

Scheduling of lifting vehicle and quay crane in automated port container terminals. - Le Hoai Minh; Adnan Yassine; Riadh Moussi (Int. J. Intell. Inf. Database Syst., 2012)

Sparse Signal Recovery by Difference of Convex Functions Algorithms. - Le Thi Hoai An; Bich Thuy Nguyen Thi; Le Hoai Minh (ACIIDS (2), 2013)

DCA Based Algorithms for Feature Selection in Semi-supervised Support Vector Machines. - Le Hoai Minh; Le Thi Hoai An; Manh Cuong Nguyen 001 (MLDM, 2013)

Binary classification via spherical separator by DC programming and DCA. - Le Thi Hoai An; Le Hoai Minh; Tao Pham Dinh; Ngai Van Huynh (J. Glob. Optim., 2013)

Block Clustering Based on Difference of Convex Functions (DC) Programming and DC Algorithms. - Le Hoai Minh; Le Thi Hoai An; Tao Pham Dinh; Ngai Van Huynh (Neural Comput., 2013)

Image Segmentation via Feature Weighted Fuzzy Clustering by a DCA Based Algorithm. - Le Hoai Minh; Bich Thuy Nguyen Thi; Minh Thuy Ta; Le Thi Hoai An (Advanced Computational Methods for Knowledge Engineering, 2013)

New and efficient DCA based algorithms for minimum sum-of-squares clustering. - Le Thi Hoai An; Le Hoai Minh; Pham Dinh Tao (Pattern Recognit., 2014)

A Difference of Convex Functions Algorithm for Switched Linear Regression. - Tao Pham Dinh; Le Hoai Minh; Hoai An Le Thi; Fabien Lauer (IEEE Trans. Autom. Control., 2014)

DC Programming and DCA for Solving Minimum Sum-of-Squares Clustering Using Weighted Dissimilarity Measures. - Le Hoai Minh; Minh Thuy Ta (Trans. Comput. Collect. Intell., 2014)

DC Approximation Approach for ℓ0-minimization in Compressed Sensing. - Thi Bich Thuy Nguyen; Hoai An Le Thi; Hoai Minh Le; Xuan Thanh Vo (ICCSAMA, 2015)

DC approximation approaches for sparse optimization. - Hoai An Le Thi; Tao Pham Dinh; Hoai Minh Le; Xuan Thanh Vo (Eur. J. Oper. Res., 2015)

Sparse semi-supervised support vector machines by DC programming and DCA. - Le Hoai Minh; Le Thi Hoai An; Manh Cuong Nguyen 001 (Neurocomputing, 2015)

Feature selection in machine learning: an exact penalty approach using a Difference of Convex function Algorithm. - Hoai An Le Thi; Le Hoai Minh; Tao Pham Dinh (Mach. Learn., 2015)

Stochastic DCA for Sparse Multiclass Logistic Regression. - Hoai An Le Thi; Hoai Minh Le; Duy Nhat Phan; Bach Tran (ICCSAMA, 2017)

Stochastic DCA for the Large-sum of Non-convex Functions Problem and its Application to Group Variable Selection in Classification. - Hoai An Le Thi; Hoai Minh Le; Phan Duy Nhat; Bach Tran (ICML, 2017)

Accelerated Difference of Convex functions Algorithm and its Application to Sparse Binary Logistic Regression. - Phan Duy Nhat; Hoai Minh Le; Hoai An Le Thi (IJCAI, 2018)

A DCA-Like Algorithm and its Accelerated Version with Application in Data Visualization. - Hoai An Le Thi; Hoai Minh Le; Phan Duy Nhat; Bach Tran (CoRR, 2018)

Reweighted ℓ 1 Algorithm for Robust Principal Component Analysis. - Hoai Minh Le; Vo Xuanthanh (ICCSAMA, 2019)

Customer Clustering of French Transmission System Operator (RTE) Based on Their Electricity Consumption. - Gabriel Da Silva; Hoai Minh Le; Hoai An Le Thi; Vincent Lefieux; Bach Tran (WCGO, 2019)

A DCA Based Algorithm for Feature Selection in Model-Based Clustering. - Viet Anh Nguyen; Hoai An Le Thi; Hoai Minh Le (ACIIDS (1), 2020)

Stochastic DCA for minimizing a large sum of DC functions with application to multi-class logistic regression. - Hoai An Le Thi; Hoai Minh Le; Duy Nhat Phan; Bach Tran (Neural Networks, 2020)

Novel DCA based algorithms for a special class of nonconvex problems with application in machine learning. - Hoai An Le Thi; Hoai Minh Le; Duy Nhat Phan; Bach Tran (Appl. Math. Comput., 2021)

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. - Hoai Minh Le (2022)

Stochastic DCA with Variance Reduction and Applications in Machine Learning. - Hoai An Le Thi; Hoang Phuc Hau Luu; Hoai Minh Le; Tao Pham Dinh (J. Mach. Learn. Res., 2022)

Cardinality optimization in constraint-based modelling: application to human metabolism. - Ronan M. T. Fleming; Hulda S. Haraldsdóttir; Le Hoai Minh; Phan Tu Vuong; Thomas Hankemeier; Ines Thiele (Bioinform., 2023)

Markov chain stochastic DCA and applications in deep learning with PDEs regularization. - Hoang Phuc Hau Luu; Hoai Minh Le; Hoai An Le Thi (Neural Networks, 2024)