Thanh-Nghi Do

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 39

Top Topics

Expression Classification

Learning Algorithm

Top Venues

SN Comput. Sci.

Vietnam. J. Comput. Sci.

Publications

Thanh-Nghi Do, Minh-Thu Tran-Nguyen
ImageNet classification with Raspberry Pis: federated learning algorithms of local classifiers. Int. J. Web Inf. Syst. 20 (1) (2024)
Thanh-Nghi Do
Enhancing Gene Expression Classification Through Explainable Machine Learning Models. SN Comput. Sci. 5 (5) (2024)
Tri-Thuc Vo, Thanh-Nghi Do
Biggest Margin Tree for the Multi-class Classification. FDSE (2023)
Thanh Ma, Thanh-Nghi Do, Nguyen-Khang Pham, Minh-Thu Tran-Nguyen, Tri-Thuc Vo, Salem Benferhat
ViWaT: A Lightweight Ontology of the Vietnamese Wastewater Treatment Management with Biological Methodologies. ENIGMA@KR (2023)
Ti-Hon Nguyen, Thanh Ma, Thanh-Nghi Do
LAVETTES: Large-scAle-dataset Vietnamese ExTractive TExt Summarization Models. FDSE (2023)
Thanh-Tri Trang, Thanh Ma, Thanh-Nghi Do
LORAP: Local Deep Neural Network for Solar Radiation Prediction. FDSE (2023)
Tan-Hiep To, Thanh-Nghi Do, Duc-Nghia Ngo, Minh-Triet Tran, Trung-Nghia Le
Budget-Aware Road Semantic Segmentation in Unseen Foggy Scenes. RIVF (2023)
Thanh-Nghi Do, Minh-Thu Tran-Nguyen
ImageNet Challenging Classification with the Raspberry Pis: A Federated Learning Algorithm of Local Stochastic Gradient Descent Models. FDSE (CCIS Volume) (2022)
Thanh-Nghi Do
ImageNet Challenging Classification with the Raspberry Pi: An Incremental Local Stochastic Gradient Descent Algorithm. CoRR (2022)
Ti-Hon Nguyen, Thanh-Nghi Do
Extractive Text Summarization on Large-scale Dataset Using K-Means Clustering. IEA/AIE (2022)
Thanh-Nghi Do
Incremental and parallel proximal SVM algorithm tailored on the Jetson Nano for the ImageNet challenge. Int. J. Web Inf. Syst. 18 (2/3) (2022)
Thanh-Nghi Do, Minh-Thu Tran-Nguyen, Thanh-Tri Trang, Tri-Thuc Vo
Deep Networks for Monitoring Waterway Traffic in the Mekong Delta. MCO (2021)
Thanh-Nghi Do
Multi-class Bagged Proximal Support Vector Machines for the ImageNet Challenging Problem. FDSE (2021)
Thanh-Nghi Do, Minh-Thu Tran-Nguyen
Training Deep Network Models for Fingerprint Image Classification. MCO (2021)
Thanh-Nghi Do
Training Neural Networks on Top of Support Vector Machine Models for Classifying Fingerprint Images. SN Comput. Sci. 2 (5) (2021)
The-Phi Pham, Minh-Thu Tran-Nguyen, Minh-Tan Tran, Thanh-Nghi Do
Combining Support Vector Machines for Classifying Fingerprint Images. FDSE (2020)
Minh-Thu Tran-Nguyen, Le-Diem Bui, Thanh-Nghi Do
Decision trees using local support vector regression models for large datasets. J. Inf. Telecommun. 4 (1) (2020)
Phuoc-Hai Huynh, Van Hoa Nguyen, Thanh-Nghi Do
Improvements in the Large p, Small n Classification Issue. SN Comput. Sci. 1 (4) (2020)
Thanh-Nghi Do
Automatic Learning Algorithms for Local Support Vector Machines. SN Comput. Sci. 1 (1) (2020)
Thanh-Nghi Do, The-Phi Pham, Minh-Thu Tran-Nguyen
Fine-tuning Deep Network Models for Classifying Fingerprint Images. KSE (2020)
Phuoc-Hung Vo, Thai-Son Nguyen, Van-Thanh Huynh, Thanh-C. Vo, Thanh-Nghi Do
Secure and Robust Watermarking Scheme in Frequency Domain Using Chaotic Logistic Map Encoding. ICCSAMA (2019)
Truong-Thanh Ma, Salem Benferhat, Zied Bouraoui, Karim Tabia, Thanh-Nghi Do, Nguyen-Khang Pham
An Automatic Extraction Tool for Ethnic Vietnamese Thai Dances Concepts. ICMLA (2019)
Thanh-Nghi Do, Le-Diem Bui
Parallel Learning Algorithms of Local Support Vector Regression for Dealing with Large Datasets. Trans. Large Scale Data Knowl. Centered Syst. 41 (2019)
Phuoc-Hai Huynh, Van Hoa Nguyen, Thanh-Nghi Do
Novel hybrid DCNN-SVM model for classifying RNA-sequencing gene expression data. J. Inf. Telecommun. 3 (4) (2019)
Thanh-Nghi Do, François Poulet
Latent-lSVM classification of very high-dimensional and large-scale multi-class datasets. Concurr. Comput. Pract. Exp. 31 (2) (2019)
Phuoc-Hai Huynh, Van Hoa Nguyen, Thanh-Nghi Do
A Combined Enhancing and Feature Extraction Algorithm to Improve Learning Accuracy for Gene Expression Classification. FDSE (2019)
Thanh-Nghi Do, The-Phi Pham, Nguyen-Khang Pham, Huu-Hoa Nguyen, Karim Tabia, Salem Benferhat
Stacking of SVMs for Classifying Intangible Cultural Heritage Images. ICCSAMA (2019)
Phuoc-Hung Vo, Thai-Son Nguyen, Van-Thanh Huynh, Thanh-Nghi Do
A novel reversible data hiding scheme with two-dimensional histogram shifting mechanism. Multim. Tools Appl. 77 (21) (2018)
Truong-Thanh Ma, Salem Benferhat, Zied Bouraoui, Karim Tabia, Thanh-Nghi Do, Huu-Hoa Nguyen
An Ontology-based Modelling of Vietnamese Traditional Dances (S). SEKE (2018)
Minh-Thu Tran-Nguyen, Le-Diem Bui, Yong-Gi Kim, Thanh-Nghi Do
Decision Tree Using Local Support Vector Regression for Large Datasets. ACIIDS (1) (2018)
Phuoc-Hai Huynh, Van Hoa Nguyen, Thanh-Nghi Do
Random ensemble oblique decision stumps for classifying gene expression data. SoICT (2018)
Thanh-Nghi Do, Minh-Thu Tran-Nguyen
Automatic Hyper-parameters Tuning for Local Support Vector Machines. FDSE (2018)
Truong-Thanh Ma, Salem Benferhat, Zied Bouraoui, Thanh-Nghi Do, Huu-Hoa Nguyen
Developing Application Based Upon An Ontology-Based Modelling of Vietnamese Traditional Dances. DigitalHERITAGE/VSMM (2018)
Phuoc-Hai Huynh, Van Hoa Nguyen, Thanh-Nghi Do
A Coupling Support Vector Machines with the Feature Learning of Deep Convolutional Neural Networks for Classifying Microarray Gene Expression Data. ACIIDS (Extended Posters) (2018)
Thanh-Nghi Do, François Poulet
Parallel Learning of Local SVM Algorithms for Classifying Large Datasets. Trans. Large Scale Data Knowl. Centered Syst. 31 (2017)
Le-Diem Bui, Minh-Thu Tran-Nguyen, Yong-Gi Kim, Thanh-Nghi Do
Parallel Algorithm of Local Support Vector Regression for Large Datasets. FDSE (2017)
Thanh-Nghi Do, François Poulet
Régression logistique pour la classification d'images à grande échelle. EGC (2016)
Thanh-Nghi Do, François Poulet
Classifying Very High-Dimensional and Large-Scale Multi-class Image Datasets with Latent-lSVM. UIC/ATC/ScalCom/CBDCom/IoP/SmartWorld (2016)
Thanh-Nghi Do, Minh-Thu Tran-Nguyen
Incremental Parallel Support Vector Machines for Classifying Large-Scale Multi-class Image Datasets. FDSE (2016)
Thanh-Nghi Doan, Thanh-Nghi Do, François Poulet
Large scale classifiers for visual classification tasks. Multim. Tools Appl. 74 (4) (2015)
Thanh-Nghi Do, François Poulet
Random Local SVMs for Classifying Large Datasets. FDSE (2015)
Thanh-Nghi Do
Non-linear Classification of Massive Datasets with a Parallel Algorithm of Local Support Vector Machines. ICCSAMA (2015)
Thanh-Nghi Do, Philippe Lenca, Stéphane Lallich
Classifying many-class high-dimensional fingerprint datasets using random forest of oblique decision trees. Vietnam. J. Comput. Sci. 2 (1) (2015)
Thanh-Nghi Do, François Poulet
Parallel Multiclass Logistic Regression for Classifying Large Scale Image Datasets. ICCSAMA (2015)
Thanh-Nghi Do
Using Local Rules in Random Forests of Decision Trees. FDSE (2015)
Thanh-Nghi Doan, Thanh-Nghi Do, François Poulet
Parallel incremental power mean SVM for the classification of large-scale image datasets. Int. J. Multim. Inf. Retr. 3 (2) (2014)
Thanh-Nghi Doan, Thanh-Nghi Do, François Poulet
Classification d'images à grande échelle avec des SVM. Traitement du Signal 31 (1-2) (2014)
Thanh-Nghi Do
Parallel multiclass stochastic gradient descent algorithms for classifying million images with very-high-dimensional signatures into thousands classes. Vietnam. J. Comput. Sci. 1 (2) (2014)
Thanh-Nghi Doan, Thanh-Nghi Do, François Poulet
Multi-way classification for large scale visual object dataset. CBMI (2013)
Thanh-Nghi Doan, Thanh-Nghi Do, François Poulet
Large Scale Visual Classification with Many Classes. MLDM (2013)
Thanh-Nghi Doan, Thanh-Nghi Do, François Poulet
Parallel incremental SVM for classifying million images with very high-dimensional signatures into thousand classes. IJCNN (2013)
Thanh-Nghi Do, Philippe Lenca, Stéphane Lallich, Nguyen-Khang Pham
Classifying Very-High-Dimensional Data with Random Forests of Oblique Decision Trees. EGC (best of volume) (2009)
François Poulet, Thanh-Nghi Do, Van Hoa Nguyen
SVM incrémental et parallèle sur GPU. EGC (2009)
Thanh-Nghi Do, Stéphane Lallich, Nguyen-Khang Pham, Philippe Lenca
Un nouvel algorithme de forêts aléatoires d'arbres obliques particulièrement adapté à la classification de données en grandes dimensions. EGC (2009)
Thanh-Nghi Do, Van Hoa Nguyen
A novel speed-up SVM algorithm for massive classification tasks. RIVF (2008)
Niklas Elmqvist, Thanh-Nghi Do, Howard Goodell, Nathalie Henry, Jean-Daniel Fekete
ZAME: Interactive Large-Scale Graph Visualization. PacificVis (2008)
Thanh-Nghi Do, Van Hoa Nguyen, François Poulet
A Fast Parallel SVM Algorithm for Massive Classification Tasks. MCO (2008)
Thanh-Nghi Do, Jean-Daniel Fekete, François Poulet
Algorithmes rapides de boosting de SVM. EGC (2008)
Nguyen-Khang Pham, Thanh-Nghi Do, Philippe Lenca, Stéphane Lallich
Using Local Node Information in Decision Trees: Coupling a Local Labeling Rule with an Off-centered Entropy. DMIN (2008)
Philippe Lenca, Stéphane Lallich, Thanh-Nghi Do, Nguyen-Khang Pham
A Comparison of Different Off-Centered Entropies to Deal with Class Imbalance for Decision Trees. PAKDD (2008)
Thanh-Nghi Do, Van Hoa Nguyen, François Poulet
Speed Up SVM Algorithm for Massive Classification Tasks. ADMA (2008)
Thanh-Nghi Do, Jean-Daniel Fekete
V4Miner, un environnement de programmation visuelle pour la fouille de données. Rev. d'Intelligence Artif. 22 (3-4) (2008)
Nguyen-Khang Pham, Thanh-Nghi Do, François Poulet, Annie Morin
TreeView, exploration interactive des arbres de décision. Rev. d'Intelligence Artif. 22 (3-4) (2008)
Thanh-Nghi Do, François Poulet
Classification de grands ensembles de données avec un nouvel algorithme de SVM. EGC (2007)
Thanh-Nghi Do, Nguyen-Khang Pham, François Poulet
Visualisation exploratoire des résultats d'algorithmes d'arbre de décision. EGC (2007)
Thanh-Nghi Do, Jean-Daniel Fekete
Large Scale Classification with Support Vector Machine Algorithms. ICMLA (2007)
Thanh-Nghi Do, François Poulet
Classifying one billion data with a new distributed svm algorithm. RIVF (2006)
Thanh-Nghi Do, François Poulet
SVM incrémental, parallèle et distribué pour le traitement de grandes quantités de données. EGC (2006)
Thanh-Nghi Do, François Poulet
Kernel-based Algorithms and Visualization for Interval Data Mining. ICDM Workshops (2006)
Thanh-Nghi Do, François Poulet
Mining Very Large Datasets with SVM and Visualization. ICEIS (2) (2005)
Thanh-Nghi Do, François Poulet
SVM et visualisation pour la fouille de grands ensembles de données. EGC (2005)
Thanh-Nghi Do, François Poulet
Towards High Dimensional Data Mining with Boosting of PSVM and Visualization Tools. ICEIS (2) (2004)
Thanh-Nghi Do, François Poulet
Fouille de grands ensembles de données avec un boosting de Proximal SVM. EGC (2004)
Thanh-Nghi Do, François Poulet
Enhancing SVM with Visualization.. Discovery Science (2004)
Thanh-Nghi Do, François Poulet
SVM incrémental pour l'analyse d'expressions de gènes. RIVF (2004)
Thanh-Nghi Do, François Poulet
Mining Very Large Datasets with Support Vector Machine Algorithms. ICEIS (2) (2003)
Thanh-Nghi Do, François Poulet
Fouille de textes avec proximal support vector machines. RIVF (2003)