Thanh-Nghi Do

90 papers B 4C 6Journal 27Unranked 50
YearRankTypeTitle / Venue / Authors
2026 J jnl
Distributed Local Learning on Apache Spark for Handling Large Datasets.
SN Comput. Sci.
Quoc-Bao Bui-Vo, Thanh-Nghi Do
2025 J jnl
BOLIMES: Boruta and LIME optiMized fEature Selection for Gene Expression Classification.
CoRR
Bich-Chung Phan, Thanh Ma, Huu-Hoa Nguyen, Thanh-Nghi Do
2025 J jnl
BoMGene: Integrating Boruta-mRMR feature selection for enhanced Gene expression classification.
CoRR
Bich-Chung Phan, Thanh Ma, Huu-Hoa Nguyen, Thanh-Nghi Do
2025 J jnl
Classifying Intangible Cultural Heritage Images in the Mekong Delta.
SN Comput. Sci.
Minh-Tan Tran, The-Phi Pham, Nguyen Thai-Nghe, Thanh-Nghi Do
2025 J jnl
Multimodal Approach for Lung Disease Classification: Fusing Chest X-Ray Images and Clinical Texts.
SN Comput. Sci.
Thi-Diem Truong, Thanh-Nghi Do
2025 J jnl
Pre-Training Clustering Models to Summarize Vietnamese Texts.
Vietnam. J. Comput. Sci.
Ti-Hon Nguyen, Thanh-Nghi Do
2024 — conf
Enhancing Efficiency of Multi-Label X-Ray Image Classification with Self-Supervised Learning Based On Compact Swin Transformers.
FDSE (1)
Tri-Thuc Vo, Thanh-Nghi Do
2024 J jnl
Enhancing Gene Expression Classification Through Explainable Machine Learning Models.
SN Comput. Sci.
Thanh-Nghi Do
2024 — conf
Exploring Distillation Models for Cultural Heritage Preservation: Traditional Vietnamese Instruments.
FDSE (1)
Thanh Ma, Hieu-Nghia Do, Hieu Nguyen, Ho Doan, Thanh-Nghi Do
2024 J jnl
From GIS to Graphical Representation for Maintaining Connectivity of Wastewater Network Elements.
SN Comput. Sci.
Omar Ettarguy, Carole Delenne, Salem Benferhat, Ahlame Begdouri, Thanh-Nghi Do, Truong-Thanh Ma
2024 J jnl
ImageNet classification with Raspberry Pis: federated learning algorithms of local classifiers.
Int. J. Web Inf. Syst.
Thanh-Nghi Do, Minh-Thu Tran-Nguyen
2024 — conf
VIMVA: Innovative Multimodal Recognition in Vietnamese Folk Dance Video Analysis.
FDSE (2)
Thanh Ma, Thao Ngo, Hai-Nhan Tran, Minh-Loc Ton, Ngoc-Linh Ha, Bich-Chung Phan, Thanh-Nghi Do
2023 — conf
Biggest Margin Tree for the Multi-class Classification.
FDSE
Tri-Thuc Vo, Thanh-Nghi Do
2023 — conf
Budget-Aware Road Semantic Segmentation in Unseen Foggy Scenes.
RIVF
Tan-Hiep To, Thanh-Nghi Do, Duc-Nghia Ngo, Minh-Triet Tran, Trung-Nghia Le
2023 — conf
LAVETTES: Large-scAle-dataset Vietnamese ExTractive TExt Summarization Models.
FDSE
Ti-Hon Nguyen, Thanh Ma, Thanh-Nghi Do
2023 — conf
LORAP: Local Deep Neural Network for Solar Radiation Prediction.
FDSE
Thanh-Tri Trang, Thanh Ma, Thanh-Nghi Do
2023 — conf
ViWaT: A Lightweight Ontology of the Vietnamese Wastewater Treatment Management with Biological Methodologies.
ENIGMA@KR
Thanh Ma, Thanh-Nghi Do, Nguyen-Khang Pham, Minh-Thu Tran-Nguyen, Tri-Thuc Vo, Salem Benferhat
2022 C conf
Extractive Text Summarization on Large-scale Dataset Using K-Means Clustering.
IEA/AIE
Ti-Hon Nguyen, Thanh-Nghi Do
2022 J jnl
ImageNet Challenging Classification with the Raspberry Pi: An Incremental Local Stochastic Gradient Descent Algorithm.
CoRR
Thanh-Nghi Do
2022 — conf
ImageNet Challenging Classification with the Raspberry Pis: A Federated Learning Algorithm of Local Stochastic Gradient Descent Models.
FDSE (CCIS Volume)
Thanh-Nghi Do, Minh-Thu Tran-Nguyen
2022 J jnl
Incremental and parallel proximal SVM algorithm tailored on the Jetson Nano for the ImageNet challenge.
Int. J. Web Inf. Syst.
Thanh-Nghi Do
2021 — conf
Deep Networks for Monitoring Waterway Traffic in the Mekong Delta.
MCO
Thanh-Nghi Do, Minh-Thu Tran-Nguyen, Thanh-Tri Trang, Tri-Thuc Vo
2021 — conf
Multi-class Bagged Proximal Support Vector Machines for the ImageNet Challenging Problem.
FDSE
Thanh-Nghi Do
2021 — conf
Training Deep Network Models for Fingerprint Image Classification.
MCO
Thanh-Nghi Do, Minh-Thu Tran-Nguyen
2021 J jnl
Training Neural Networks on Top of Support Vector Machine Models for Classifying Fingerprint Images.
SN Comput. Sci.
Thanh-Nghi Do
2020 J jnl
Automatic Learning Algorithms for Local Support Vector Machines.
SN Comput. Sci.
Thanh-Nghi Do
2020 — conf
Combining Support Vector Machines for Classifying Fingerprint Images.
FDSE
The-Phi Pham, Minh-Thu Tran-Nguyen, Minh-Tan Tran, Thanh-Nghi Do
2020 J jnl
Decision trees using local support vector regression models for large datasets.
J. Inf. Telecommun.
Minh-Thu Tran-Nguyen, Le-Diem Bui, Thanh-Nghi Do
2020 — conf
Fine-tuning Deep Network Models for Classifying Fingerprint Images.
KSE
Thanh-Nghi Do, The-Phi Pham, Minh-Thu Tran-Nguyen
2020 J jnl
Improvements in the Large p, Small n Classification Issue.
SN Comput. Sci.
Phuoc-Hai Huynh, Van Hoa Nguyen, Thanh-Nghi Do
2019 — conf
A Combined Enhancing and Feature Extraction Algorithm to Improve Learning Accuracy for Gene Expression Classification.
FDSE
Phuoc-Hai Huynh, Van Hoa Nguyen, Thanh-Nghi Do
2019 C conf
An Automatic Extraction Tool for Ethnic Vietnamese Thai Dances Concepts.
ICMLA
Truong-Thanh Ma, Salem Benferhat, Zied Bouraoui, Karim Tabia, Thanh-Nghi Do, Nguyen-Khang Pham
2019 J jnl
Latent-lSVM classification of very high-dimensional and large-scale multi-class datasets.
Concurr. Comput. Pract. Exp.
Thanh-Nghi Do, François Poulet
2019 J jnl
Novel hybrid DCNN-SVM model for classifying RNA-sequencing gene expression data.
J. Inf. Telecommun.
Phuoc-Hai Huynh, Van Hoa Nguyen, Thanh-Nghi Do
2019 J jnl
Parallel Learning Algorithms of Local Support Vector Regression for Dealing with Large Datasets.
Trans. Large Scale Data Knowl. Centered Syst.
Thanh-Nghi Do, Le-Diem Bui
2019 — conf
Secure and Robust Watermarking Scheme in Frequency Domain Using Chaotic Logistic Map Encoding.
ICCSAMA
Phuoc-Hung Vo, Thai-Son Nguyen, Van-Thanh Huynh, Thanh-C. Vo, Thanh-Nghi Do
2019 — conf
Stacking of SVMs for Classifying Intangible Cultural Heritage Images.
ICCSAMA
Thanh-Nghi Do, The-Phi Pham, Nguyen-Khang Pham, Huu-Hoa Nguyen, Karim Tabia, Salem Benferhat
2018 — conf
A Coupling Support Vector Machines with the Feature Learning of Deep Convolutional Neural Networks for Classifying Microarray Gene Expression Data.
ACIIDS (Extended Posters)
Phuoc-Hai Huynh, Van Hoa Nguyen, Thanh-Nghi Do
2018 J jnl
A novel reversible data hiding scheme with two-dimensional histogram shifting mechanism.
Multim. Tools Appl.
Phuoc-Hung Vo, Thai-Son Nguyen, Van-Thanh Huynh, Thanh-Nghi Do
2018 C conf
An Ontology-based Modelling of Vietnamese Traditional Dances (S).
SEKE
Truong-Thanh Ma, Salem Benferhat, Zied Bouraoui, Karim Tabia, Thanh-Nghi Do, Huu-Hoa Nguyen
2018 — conf
Automatic Hyper-parameters Tuning for Local Support Vector Machines.
FDSE
Thanh-Nghi Do, Minh-Thu Tran-Nguyen
2018 — conf
Decision Tree Using Local Support Vector Regression for Large Datasets.
ACIIDS (1)
Minh-Thu Tran-Nguyen, Le-Diem Bui, Yong-Gi Kim, Thanh-Nghi Do
2018 — conf
Developing Application Based Upon An Ontology-Based Modelling of Vietnamese Traditional Dances.
DigitalHERITAGE/VSMM
Truong-Thanh Ma, Salem Benferhat, Zied Bouraoui, Thanh-Nghi Do, Huu-Hoa Nguyen
2018 — conf
Random ensemble oblique decision stumps for classifying gene expression data.
SoICT
Phuoc-Hai Huynh, Van Hoa Nguyen, Thanh-Nghi Do
2017 — conf
Parallel Algorithm of Local Support Vector Regression for Large Datasets.
FDSE
Le-Diem Bui, Minh-Thu Tran-Nguyen, Yong-Gi Kim, Thanh-Nghi Do
2017 J jnl
Parallel Learning of Local SVM Algorithms for Classifying Large Datasets.
Trans. Large Scale Data Knowl. Centered Syst.
Thanh-Nghi Do, François Poulet
2016 — conf
Classifying Very High-Dimensional and Large-Scale Multi-class Image Datasets with Latent-lSVM.
UIC/ATC/ScalCom/CBDCom/IoP/SmartWorld
Thanh-Nghi Do, François Poulet
2016 — conf
Incremental Parallel Support Vector Machines for Classifying Large-Scale Multi-class Image Datasets.
FDSE
Thanh-Nghi Do, Minh-Thu Tran-Nguyen
2016 — conf
Régression logistique pour la classification d'images à grande échelle.
EGC
Thanh-Nghi Do, François Poulet
2015 J jnl
Classifying many-class high-dimensional fingerprint datasets using random forest of oblique decision trees.
Vietnam. J. Comput. Sci.
Thanh-Nghi Do, Philippe Lenca, Stéphane Lallich
2015 J jnl
Large scale classifiers for visual classification tasks.
Multim. Tools Appl.
Thanh-Nghi Doan, Thanh-Nghi Do, François Poulet
2015 — conf
Non-linear Classification of Massive Datasets with a Parallel Algorithm of Local Support Vector Machines.
ICCSAMA
Thanh-Nghi Do
2015 — conf
Parallel Multiclass Logistic Regression for Classifying Large Scale Image Datasets.
ICCSAMA
Thanh-Nghi Do, François Poulet
2015 — conf
Random Local SVMs for Classifying Large Datasets.
FDSE
Thanh-Nghi Do, François Poulet
2015 — conf
Using Local Rules in Random Forests of Decision Trees.
FDSE
Thanh-Nghi Do
2014 J jnl
Classification d'images à grande échelle avec des SVM.
Traitement du Signal
Thanh-Nghi Doan, Thanh-Nghi Do, François Poulet
2014 J jnl
Parallel incremental power mean SVM for the classification of large-scale image datasets.
Int. J. Multim. Inf. Retr.
Thanh-Nghi Doan, Thanh-Nghi Do, François Poulet
2014 J jnl
Parallel multiclass stochastic gradient descent algorithms for classifying million images with very-high-dimensional signatures into thousands classes.
Vietnam. J. Comput. Sci.
Thanh-Nghi Do
2013 — ch.
Large Scale Image Classification with Many Classes, Multi-features and Very High-Dimensional Signatures.
Advanced Computational Methods for Knowledge Engineering
Thanh-Nghi Doan, Thanh-Nghi Do, François Poulet
2013 — conf
Large Scale Visual Classification with Many Classes.
MLDM
Thanh-Nghi Doan, Thanh-Nghi Do, François Poulet
2013 C conf
Multi-way classification for large scale visual object dataset.
CBMI
Thanh-Nghi Doan, Thanh-Nghi Do, François Poulet
2013 B conf
Parallel incremental SVM for classifying million images with very high-dimensional signatures into thousand classes.
IJCNN
Thanh-Nghi Doan, Thanh-Nghi Do, François Poulet
2009 — conf
Classifying Very-High-Dimensional Data with Random Forests of Oblique Decision Trees.
EGC (best of volume)
Thanh-Nghi Do, Philippe Lenca, Stéphane Lallich, Nguyen-Khang Pham
2009 — ch.
Kernel-Based Algorithms and Visualization for Interval Data Mining.
Mining Complex Data
Thanh-Nghi Do, François Poulet
2009 — conf
SVM incrémental et parallèle sur GPU.
EGC
François Poulet, Thanh-Nghi Do, Van Hoa Nguyen
2009 — conf
Un nouvel algorithme de forêts aléatoires d'arbres obliques particulièrement adapté à la classification de données en grandes dimensions.
EGC
Thanh-Nghi Do, Stéphane Lallich, Nguyen-Khang Pham, Philippe Lenca
2008 B conf
A Comparison of Different Off-Centered Entropies to Deal with Class Imbalance for Decision Trees.
PAKDD
Philippe Lenca, Stéphane Lallich, Thanh-Nghi Do, Nguyen-Khang Pham
2008 — conf
A Fast Parallel SVM Algorithm for Massive Classification Tasks.
MCO
Thanh-Nghi Do, Van Hoa Nguyen, François Poulet
2008 — conf
A novel speed-up SVM algorithm for massive classification tasks.
RIVF
Thanh-Nghi Do, Van Hoa Nguyen
2008 — conf
Algorithmes rapides de boosting de SVM.
EGC
Thanh-Nghi Do, Jean-Daniel Fekete, François Poulet
2008 — ch.
Interactive Decision Tree Construction for Interval and Taxonomical Data.
Visual Data Mining
François Poulet, Thanh-Nghi Do
2008 C conf
Speed Up SVM Algorithm for Massive Classification Tasks.
ADMA
Thanh-Nghi Do, Van Hoa Nguyen, François Poulet
2008 J jnl
TreeView, exploration interactive des arbres de décision.
Rev. d'Intelligence Artif.
Nguyen-Khang Pham, Thanh-Nghi Do, François Poulet, Annie Morin
2008 — conf
Using Local Node Information in Decision Trees: Coupling a Local Labeling Rule with an Off-centered Entropy.
DMIN
Nguyen-Khang Pham, Thanh-Nghi Do, Philippe Lenca, Stéphane Lallich
2008 J jnl
V4Miner, un environnement de programmation visuelle pour la fouille de données.
Rev. d'Intelligence Artif.
Thanh-Nghi Do, Jean-Daniel Fekete
2008 B conf
ZAME: Interactive Large-Scale Graph Visualization.
PacificVis
Niklas Elmqvist, Thanh-Nghi Do, Howard Goodell, Nathalie Henry, Jean-Daniel Fekete
2007 — conf
Classification de grands ensembles de données avec un nouvel algorithme de SVM.
EGC
Thanh-Nghi Do, François Poulet
2007 C conf
Large Scale Classification with Support Vector Machine Algorithms.
ICMLA
Thanh-Nghi Do, Jean-Daniel Fekete
2007 — conf
Visualisation exploratoire des résultats d'algorithmes d'arbre de décision.
EGC
Thanh-Nghi Do, Nguyen-Khang Pham, François Poulet
2006 — conf
Classifying one billion data with a new distributed svm algorithm.
RIVF
Thanh-Nghi Do, François Poulet
2006 — conf
Kernel-based Algorithms and Visualization for Interval Data Mining.
ICDM Workshops
Thanh-Nghi Do, François Poulet
2006 — conf
SVM incrémental, parallèle et distribué pour le traitement de grandes quantités de données.
EGC
Thanh-Nghi Do, François Poulet
2005 — conf
Mining Very Large Datasets with SVM and Visualization.
ICEIS (2)
Thanh-Nghi Do, François Poulet
2005 — conf
SVM et visualisation pour la fouille de grands ensembles de données.
EGC
Thanh-Nghi Do, François Poulet
2004 B conf
Enhancing SVM with Visualization..
Discovery Science
Thanh-Nghi Do, François Poulet
2004 — conf
Fouille de grands ensembles de données avec un boosting de Proximal SVM.
EGC
Thanh-Nghi Do, François Poulet
2004 — conf
SVM incrémental pour l'analyse d'expressions de gènes.
RIVF
Thanh-Nghi Do, François Poulet
2004 — conf
Towards High Dimensional Data Mining with Boosting of PSVM and Visualization Tools.
ICEIS (2)
Thanh-Nghi Do, François Poulet
2003 — conf
Fouille de textes avec proximal support vector machines.
RIVF
Thanh-Nghi Do, François Poulet
2003 — conf
Mining Very Large Datasets with Support Vector Machine Algorithms.
ICEIS (2)
Thanh-Nghi Do, François Poulet