| ZAME: Interactive large-scale graph visualization N Elmqvist, TN Do, H Goodell, N Henry, JD Fekete 2008 IEEE Pacific visualization symposium, 215-222, 2008 | 260 | 2008 |
| Classifying very-high-dimensional data with random forests of oblique decision trees TN Do, P Lenca, S Lallich, NK Pham Advances in knowledge discovery and management, 39-55, 2010 | 83 | 2010 |
| Speed up SVM algorithm for massive classification tasks TN Do, VH Nguyen, F Poulet International conference on advanced data mining and applications, 147-157, 2008 | 68 | 2008 |
| Classifying one billion data with a new distributed svm algorithm. TN Do, F Poulet RIVF 760, 59-66, 2006 | 61 | 2006 |
| A comparison of different off-centered entropies to deal with class imbalance for decision trees P Lenca, S Lallich, TN Do, NK Pham Advances in Knowledge Discovery and Data Mining: 12th Pacific-Asia …, 2008 | 51 | 2008 |
| Classifying many-class high-dimensional fingerprint datasets using random forest of oblique decision trees TN Do, P Lenca, S Lallich Vietnam journal of computer science 2, 3-12, 2015 | 40 | 2015 |
| Kernel methods and visualization for interval data mining TN Do, F Poulet Proceedings of the Conference on Applied Stochastic Models and Data Analysis …, 2005 | 35* | 2005 |
| Mining very large datasets with support vector machine algorithms F Poulet, TN Do Enterprise Information Systems V, 177-184, 2005 | 35 | 2005 |
| Parallel multiclass stochastic gradient descent algorithms for classifying million images with very-high-dimensional signatures into thousands classes TN Do Vietnam Journal of Computer Science 1, 107-115, 2014 | 34 | 2014 |
| Learning optimal threshold on resampling data to deal with class imbalance N Thai-Nghe, DT Nghi, L Schmidt-Thieme Proc. IEEE RIVF International Conference on Computing and Telecommunication …, 2010 | 32 | 2010 |
| Parallel learning of local SVM algorithms for classifying large datasets TN Do, F Poulet Transactions on Large-Scale Data-and Knowledge-Centered Systems XXXI …, 2016 | 30 | 2016 |
| Large scale classification with support vector machine algorithms TN Do, JD Fekete Sixth International Conference on Machine Learning and Applications (ICMLA …, 2007 | 30 | 2007 |
| Novel hybrid DCNN–SVM model for classifying RNA-sequencing gene expression data PH Huynh, VH Nguyen, TN Do Journal of Information and Telecommunication 3 (4), 533-547, 2019 | 28 | 2019 |
| Random local SVMs for classifying large datasets TN Do, F Poulet Future Data and Security Engineering: Second International Conference, FDSE …, 2015 | 24 | 2015 |
| A novel speed-up SVM algorithm for massive classification tasks TN Do, VH Nguyen 2008 IEEE International Conference on Research, Innovation and Vision for …, 2008 | 24 | 2008 |
| Incremental SVM and visualization tools for bio-medical data mining TN Do, F Poulet Data Mining and Text Mining for Bioinformatics, 14, 2003 | 23 | 2003 |
| GPU-based parallel SVM algorithm TN DO, VH NGUYEN, F POULET Journal of Frontiers of Computer Science and Technology 3 (4), 368--377, 2009 | 21 | 2009 |
| Improvements in the Large p, Small n Classification Issue PH Huynh, VH Nguyen, TN Do SN Computer Science 1 (4), 1-19, 2020 | 20 | 2020 |
| Enhancing gene expression classification of support vector machines with generative adversarial networks PH Huynh, VH Nguyen, TN Do Journal of information and communication convergence engineering 17 (1), 14-20, 2019 | 20 | 2019 |
| Interactive decision tree construction for interval and taxonomical data F Poulet, TN Do Visual Data Mining: Theory, Techniques and Tools for Visual Analytics, 123-135, 2008 | 19 | 2008 |
Nguyen-Khang PHAMCan Tho UniversityDirección de correo verificada de cit.ctu.edu.vn
