Le Hoai Minh

, 2022

2021

Novel DCA based algorithms for a special class of nonconvex problems with application in machine learning.

[BibT_eX]

[DOI]

Appl. Math. Comput., 2021

2020

Stochastic DCA for minimizing a large sum of DC functions with application to multi-class logistic regression.

[BibT_eX]

[DOI]

Neural Networks, 2020

A DCA Based Algorithm for Feature Selection in Model-Based Clustering.

[BibT_eX]

[DOI]

Viet Anh Nguyen

Hoai An Le Thi

Proceedings of the Intelligent Information and Database Systems - 12th Asian Conference, 2020

2019

Customer Clustering of French Transmission System Operator (RTE) Based on Their Electricity Consumption.

[BibT_eX]

[DOI]

Proceedings of the Optimization of Complex Systems: Theory, 2019

Reweighted ℓ <sub>1</sub> Algorithm for Robust Principal Component Analysis.

[BibT_eX]

[DOI]

Vo Xuanthanh

Proceedings of the Advanced Computational Methods for Knowledge Engineering, 2019

2018

A DCA-Like Algorithm and its Accelerated Version with Application in Data Visualization.

[BibT_eX]

[DOI]

CoRR, 2018

Accelerated Difference of Convex functions Algorithm and its Application to Sparse Binary Logistic Regression.

[BibT_eX]

[DOI]

Phan Duy Nhat

Hoai An Le Thi

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

2017

Stochastic DCA for the Large-sum of Non-convex Functions Problem and its Application to Group Variable Selection in Classification.

[BibT_eX]

[DOI]

Proceedings of the 34th International Conference on Machine Learning, 2017

Stochastic DCA for Sparse Multiclass Logistic Regression.

[BibT_eX]

[DOI]

Proceedings of the Advanced Computational Methods for Knowledge Engineering, 2017

2015

Feature selection in machine learning: an exact penalty approach using a Difference of Convex function Algorithm.

[BibT_eX]

[DOI]

Hoai An Le Thi

Tao Pham Dinh

Mach. Learn., 2015

Sparse semi-supervised support vector machines by DC programming and DCA.

[BibT_eX]

[DOI]

Manh Cuong Nguyen

Neurocomputing, 2015

DC approximation approaches for sparse optimization.

[BibT_eX]

[DOI]

Eur. J. Oper. Res., 2015

DC Approximation Approach for ℓ0-minimization in Compressed Sensing.

[BibT_eX]

[DOI]

Proceedings of the Advanced Computational Methods for Knowledge Engineering - Proceedings of 3rd International Conference on Computer Science, Applied Mathematics and Applications, 2015

2014

DC Programming and DCA for Solving Minimum Sum-of-Squares Clustering Using Weighted Dissimilarity Measures.

[BibT_eX]

[DOI]

Minh Thuy Ta

Trans. Comput. Collect. Intell., 2014

A Difference of Convex Functions Algorithm for Switched Linear Regression.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2014

New and efficient DCA based algorithms for minimum sum-of-squares clustering.

[BibT_eX]

[DOI]

Pham Dinh Tao

Pattern Recognit., 2014

2013

Image Segmentation via Feature Weighted Fuzzy Clustering by a DCA Based Algorithm.

[BibT_eX]

[DOI]

Proceedings of the Advanced Computational Methods for Knowledge Engineering, 2013

Block Clustering Based on Difference of Convex Functions (DC) Programming and DC Algorithms.

[BibT_eX]

[DOI]

Neural Comput., 2013

Binary classification via spherical separator by DC programming and DCA.

[BibT_eX]

[DOI]

J. Glob. Optim., 2013

DCA Based Algorithms for Feature Selection in Semi-supervised Support Vector Machines.

[BibT_eX]

[DOI]

Manh Cuong Nguyen

Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2013

Sparse Signal Recovery by Difference of Convex Functions Algorithms.

[BibT_eX]

[DOI]

Bich Thuy Nguyen Thi

Proceedings of the Intelligent Information and Database Systems - 5th Asian Conference, 2013

2012

Scheduling of lifting vehicle and quay crane in automated port container terminals.

[BibT_eX]

[DOI]

Adnan Yassine

Riadh Moussi

Int. J. Intell. Inf. Database Syst., 2012

DCA for solving the scheduling of lifting vehicle in an automated port container terminal.

[BibT_eX]

[DOI]

Adnan Yassine

Riadh Moussi

Comput. Manag. Sci., 2012

Gaussian Kernel Minimum Sum-of-Squares Clustering and Solution Method Based on DCA.

[BibT_eX]

[DOI]

Pham Dinh Tao

Proceedings of the Intelligent Information and Database Systems - 4th Asian Conference, 2012

2011

An Efficient DCA for Spherical Separation.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Information and Database Systems, 2011

2010

A combined DCA: GA for constructing highly nonlinear balanced boolean functions in cryptography.

[BibT_eX]

[DOI]

J. Glob. Optim., 2010

2009

Solving the Perceptron Problem by deterministic optimization approach based on DC programming and DCA.

[BibT_eX]

[DOI]

Proceedings of the 7th IEEE International Conference on Industrial Informatics, 2009

2008

A DC programming approach for feature selection in support vector machines learning.

[BibT_eX]

[DOI]

Adv. Data Anal. Classif., 2008

Combined feature selection and classification using DCA.

[BibT_eX]

[DOI]

Proceedings of the 2008 IEEE International Conference on Research, 2008

Noisy Image Segmentation by a Robust Clustering Algorithm Based on DC Programming and DCA.

[BibT_eX]

[DOI]

Proceedings of the Advances in Data Mining. Medical Applications, 2008

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).

[BibT_eX]

[DOI]

PhD thesis, 2007

Optimization based DC programming and DCA for hierarchical clustering.

[BibT_eX]

[DOI]