Un environnement efficace pour la classification d'images à grande échelle. - Thanh-Nghi Doan; François Poulet (EGC, 2012)

Large Scale Image Classification: Fast Feature Extraction, Multi-codebook Approach and Multi-core SVM Training. - Thanh-Nghi Doan; François Poulet (EGC (best of volume), 2012)

Multi-way classification for large scale visual object dataset. - Thanh-Nghi Doan; Thanh-Nghi Do; François Poulet (CBMI, 2013)

Parallel incremental SVM for classifying million images with very high-dimensional signatures into thousand classes. - Thanh-Nghi Doan; Thanh-Nghi Do; François Poulet (IJCNN, 2013)

Large Scale Visual Classification with Many Classes. - Thanh-Nghi Doan; Thanh-Nghi Do; François Poulet (MLDM, 2013)

Large Scale Image Classification with Many Classes, Multi-features and Very High-Dimensional Signatures. - Thanh-Nghi Doan; Thanh-Nghi Do; François Poulet (Advanced Computational Methods for Knowledge Engineering, 2013)

Parallel incremental power mean SVM for the classification of large-scale image datasets. - Thanh-Nghi Doan; Thanh-Nghi Do; François Poulet (Int. J. Multim. Inf. Retr., 2014)

Classification d'images à grande échelle avec des SVM. - Thanh-Nghi Doan; Thanh-Nghi Do; François Poulet (Traitement du Signal, 2014)

Large scale classifiers for visual classification tasks. - Thanh-Nghi Doan; Thanh-Nghi Do; François Poulet (Multim. Tools Appl., 2015)

Real-time vehicle detection and counting based on YOLO and DeepSORT. - Thanh-Nghi Doan; Minh-Tuyen Truong (KSE, 2020)

Fine-Tuning Deep Neural Networks and SVM to improve Vietnamese Herbal Medicine Classification. - Phuoc-Hai Huynh; Luyl-Da Quach; Lan Thi Thu Le; Thanh-Nghi Doan (ICIIT, 2023)