| ZAME: Interactive large-scale graph visualization N Elmqvist, TN Do, H Goodell, N Henry, JD Fekete 2008 IEEE Pacific visualization symposium, 215-222, 2008 | 236 | 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 | 63 | 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 | 63 | 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 Pacific-Asia Conference on Knowledge Discovery and Data Mining, 634-643, 2008 | 50 | 2008 |
| Mining very large datasets with support vector machine algorithms F Poulet, TN Do Enterprise Information Systems V, 177-184, 2004 | 35 | 2004 |
| Kernel methods and visualization for interval data mining TN Do, F Poulet Proceedings of the Conference on Applied Stochastic Models and Data Analysis …, 2005 | 31* | 2005 |
| 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 (1), 3-12, 2015 | 30 | 2015 |
| Large scale classification with support vector machine algorithms TN Do, JD Fekete Sixth International Conference on Machine Learning and Applications (ICMLA …, 2007 | 30 | 2007 |
| 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 | 26 | 2010 |
| 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 (2), 107-115, 2014 | 25 | 2014 |
| 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 |
| 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 | 22 | 2008 |
| Random local SVMs for classifying large datasets TN Do, F Poulet International conference on future data and security engineering, 3-15, 2015 | 21 | 2015 |
| 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 |
| Parallel learning of local SVM algorithms for classifying large datasets TN Do, F Poulet Transactions on Large-Scale Data-and Knowledge-Centered Systems XXXI, 67-93, 2017 | 19 | 2017 |
| Towards High Dimensional Data Mining with Boosting of PSVM and Visualization Tools. TN Do, F Poulet ICEIS (2), 36-41, 2004 | 19 | 2004 |
| Using Local Node Information in Decision Trees: Coupling a Local Labeling Rule with an Off-centered Entropy. NK Pham, TN Do, P Lenca, S Lallich DMIN, 117-123, 2008 | 18 | 2008 |
| Mining Very Large Datasets with SVM and Visualization. TN Do, F Poulet ICEIS (2), 127-141, 2005 | 18 | 2005 |
| Interactive decision tree construction for interval and taxonomical data F Poulet, TN Do Visual Data Mining, 123-135, 2008 | 17 | 2008 |
Khang Pham NguyenCan Tho UniversityVerified email at cit.ctu.edu.vn
