Thanh-Nghi Do
Title
Cited by
Cited by
Year
ZAME: Interactive large-scale graph visualization
N Elmqvist, TN Do, H Goodell, N Henry, JD Fekete
2008 IEEE Pacific visualization symposium, 215-222, 2008
2192008
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
582008
Classifying one billion data with a new distributed svm algorithm.
TN Do, F Poulet
RIVF, 59-66, 2006
572006
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
532010
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
442008
Mining very large datasets with support vector machine algorithms
F Poulet, TN Do
Enterprise Information Systems V, 177-184, 2004
322004
Kernel-based Algorithms and Visualization for Interval Data Mining
TN Do, F Poulet
Sixth IEEE International Conference on Data Mining-Workshops (ICDMW'06), 295-299, 2006
292006
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
272015
Large scale classification with support vector machine algorithms
TN Do, JD Fekete
Sixth International Conference on Machine Learning and Applications (ICMLA …, 2007
252007
Incremental SVM and visualization tools for bio-medical data mining
TN Do, F Poulet
Data Mining and Text Mining for Bioinformatics, 14, 2003
222003
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
212008
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
202014
Random local SVMs for classifying large datasets
TN Do, F Poulet
International Conference on Future Data and Security Engineering, 3-15, 2015
192015
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
192010
GPU-based parallel SVM algorithm
TN DO, VH NGUYEN, F POULET
Journal of Frontiers of Computer Science and Technology 3 (4), 368--377, 2009
192009
Mining Very Large Datasets with SVM and Visualization.
TN Do, F Poulet
ICEIS (2), 127-141, 2005
182005
Knowledge Acquisition-Enhancing SVM with Visualization
TN Do, F Poulet
Lecture Notes in Computer Science 3245, 183-194, 2004
18*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
172008
Towards High Dimensional Data Mining with Boosting of PSVM and Visualization Tools.
TN Do, F Poulet
ICEIS (2), 36-41, 2004
172004
Interactive decision tree construction for interval and taxonomical data
F Poulet, TN Do
Visual Data Mining, 123-135, 2008
152008
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Articles 1–20