Thanh-Nghi Do
A/Prof. @ Dept. of Comp. Networks
WWW: http://www.cit.ctu.edu.vn/~dtnghi
Email: dtnghi@cit.ctu.edu.vn
Address: 3/2 Street, Ninh Kieu District, 94000-CanTho, Viet Nam
Tel: +84 (0)2923 734 720
Education
Dec 2004
- Ph.D. in Informatics
Visualization and Support Vector Machine in Data Mining
LINA, Laboratory for Computer Science, Nantes University, France
Thesis advisors: Prof. Henri Briand, Dr. François Poulet
Jul 2002
- Master research in Informatics
Visualization and Support Vector Machine in Data Mining
LINA, Laboratory for Computer Science, Nantes University, France
Advisor: Dr. François Poulet
Aug 2001
- Master in Informatics
IFI, Francophone Institute for Computer Science Hanoi, Vietnam
Advisor: Dr. Philippe Massonet
Jul 1996
- Bachelor of Engineering in Informatics
College of Information Technology, Cantho University, Vietnam
Advisor: Prof. Hoang Kiem
Distinction
Nov. 2015
- Qualif. for Associate Professor (A/Prof.)
Information Technology
Jan. 2010
- Qualif. for Maître de Conférences (MCF-27)
Informatics
Jan. 2005
- Qualif. for Maître de Conférences (MCF-27)
Informatics
Research interests
2001 - present
- Data mining and Knowledge discovery in databases
Data mining with SVM and Kernel-based methods, Ensemble methods, Decision tree
Information visualization in knowledge discovery in databases, Visual data mining
Mining complex data: very-high-dimensional, large scale, imbalanced datasets
Experience
2012 - 2013
- Visiting scientist
DECIDE, URM 6285 Lab-STICC, with A/Prof. Sorin Moga, Telecom-Bretagne, France.
Automatic Configuration of Enterprise Resource Planning
2008 - 2010
- Visiting postdoc
DECIDE, URM 6285 Lab-STICC, with Prof. Philippe Lenca, Telecom-Bretagne, France.
Decision Trees for Classifying Very-High-Demensional and Imbalanced Data
2006 - 2008
- Visiting postdoc
AVIZ, INRIA Saclay, with Prof. Jean-Daniel Fekete, France.
SEVEN: Visual Analytical Project, Visual Programming Platform for Data Mining
2005 - present
- Lecturer
Computer Networks Department, Can Tho University, Vietnam.
Teaching: Data Mining, Machine Learning, Linux/OSS, Web, Parallel Programming
Publications
- Journal, book chapter
T-H. Nguyen, T-N. Do. Pre-training clustering models to summarize Vietnamese texts. in Vietnam Journal of Computer Science, Vol.12(01): 83-100, World Scientific Publishing, 2025.
O. Et-Targuy, C. Delenne, S. Benferhat, A. Begdouri, T-N. Do, T-T. Ma. From GIS to Graphical Representation for Maintaining Connectivity of Wastewater Network Elements. in SN Computer Science, Vol.5(7): 851, Springer, 2024.
T-T. Vo, T-N. Do. Improving Chest X-ray Image Classification via the Integration of Self-Supervised Learning and Machine Learning Algorithms. in Journal of Information and Communication Convergence Engineering, Vol.22(2): 165-171, 2024.
T-N. Do. Enhancing Gene Expression Classification Through Explainable Machine Learning Models. in SN Computer Science, Vol.5(606): 1-116, Springer, 2024.
T-N. Do, M-T. Tran-Nguyen. ImageNet Classification with Raspberry Pis: Federated Learning Algorithms of Local Classifiers. in Intl Journal of Web Information Systems, Vol.20(1): 48-65, 2024.
T-N. Do, V-T. Le, T-H. Doan. SVM on Top of Deep Networks for Covid-19 Detection from Chest X-ray Images. in Journal of Information and Communication Convergence Engineering, Vol.20(3): 219-225, 2022.
T-N. Do. Incremental and Parallel Proximal SVM Algorithm Tailored on the Jetson Nano for the ImageNet Challenge. in Intl Journal of Web Information Systems, Vol.18(2/3): 137-155, 2022.
T-H. Nguyen, T-N. Do. Text Summarization on Vietnamese Large-scale Dataset. in Journal of Information and Communication Convergence Engineering, Vol.20(4): 309-316, 2022.
T-N. Do. Training Neural Networks on Top of Support Vector Machine Models for Classifying Fingerprint Images. in SN Computer Science, Vol.2(5), Springer, 2021.
T-N. Do, T-P. Pham, H-H. Nguyen, N-K. Pham. Visual Classification of Intangible Cultural Heritage Images in the Mekong Delta. Chapter 4 in Data Analytics for Cultural Heritage, Springer, 2021, pp.71-89.
T-N. Do. Automatic Learning Algorithms for Local Support Vector Machines. in SN Computer Science, Vol.1(1), Springer, 2020.
M-T. Tran-Nguyen, L-D. Bui, T-N. Do. Decision tree using local support vector regression for large datasets. in Journal of Information & Telecommunication, Vol.4(1): 17-35, Taylor & Francis, 2020.
P-H. Vo, T-S. Nguyen, V-T. Huynh, T-N. Do. A High capacity invertible steganography algorithm using 2-D histogram shifting with EDH. Chapter 6 in the book Digital Media Steganography: Principles, Algorithms, Advances, ELSEVIER Inc., 2020, pp.99-122.
P-H. Huynh, V-H. Nguyen, T-N. Do. Improvements in the large p, small n classification issue. in SN Computer Science, Vol.1(4): 1-19, Springer, 2020.
T-N. Do, F. Poulet. Latent-lSVM classification of very high-dimensional and large scale multi-class datasets. in Concurrency and Computation: Practice and Experience, Vol.31(2):e4224, Wiley, 2019.
T-N. Do, L-D. Bui. Parallel learning algorithms of local support vector regression for dealing with large datasets. in The LNCS Journal Transactions on Large-Scale Data- and Knowledge-Centered Systems, Vol.41:59-77, Springer, 2019.
P-H. Huynh, V-H. Nguyen, T-N. Do. Novel hybrid DCNN-SVM model for classifying RNA-Sequencing gene expression data. in Journal of Information & Telecommunication, Vol.3(4): 533-547, Taylor & Francis, 2019.
P-H. Huynh, V-H. Nguyen, T-N. Do. Enhancing gene expression classification of support vector machines with generative adversarial networks. in Journal of Information and Communication Convergence Engineering, Vol.17(1):14-20, 2019.
P-H. Vo, T-S. Nguyen, V-T. Huynh and T-N. Do. A Novel Reversible Data Hiding Scheme with Two-Dimensional Histogram Shifting Mechanism. in International Journal of Multimedia Tools and Applications, Vol.77(21): 28777-28797, Springer, 2018.
T-N. Do, F. Poulet. Parallel learning of local SVM algorithms for classifying large datasets. in The LNCS Journal Transactions on Large-Scale Data- and Knowledge-Centered Systems, Vol.31:67-93, Springer, 2017.
T-N. Do, P. Lenca, S. Lallich. Classifying Many-Class High Dimensional Fingerprint Datasets Using Random Forest of Oblique Decision Trees. in Vietnam Journal of Computer Science, Vol.2(1): 3-12, Springer, 2015.
T-N. Do, N-K. Pham. Handwritten Digit Recognition Using GIST Descriptors and Random Oblique Decision Trees. in Advances in Intelligent Systems and Computing, Vol.341: 1-15, Springer, 2015.
T-N. Doan, T-N. Do, F. Poulet. Large Scale Classifiers for Visual Classification Tasks. in International Journal of Multimedia Tools and Applications, Vol.74(4): 1199-1224, Springer, 2015.
T-N. Do, H-A. Le-Thi. Massive Classification with Support Vector Machines. in Transactions on Computational Collective Intelligence XVIII, Springer Berlin Heidelberg, 2015, pp. 147-165.
T-N. Doan, T-N. Do, F. Poulet. Classification d'images à grande échelle avec des SVMs. in Revue Traitement du Signal, Vol.31(1-2): 39-56, LAVOISIER, 2014.
T-N. Do. Parallel Multiclass Stochastic Gradient Descent Algorithms for Classifying Million Images with Very-High-Dimensional Signatures into Thousands Classes. in Vietnam Journal of Computer Science, Vol.1(2): 107-115, Springer, 2014.
T-N. Doan, T-N. Do, F. Poulet. Parallel Incremental Power Mean SVM for the Classification of Large Scale Image Datasets. in International Journal of Multimedia Information Retrieval, Vol.3(2): 89-96, Springer, 2014.
T-N. Do, S. Lallich, N-K. Pham and P. Lenca. Classifying very-high-dimensional data with random forests of oblique decision trees. in Advances in Knowledge Discovery and Management, Studies in Computational Intelligence Vol.292: 39-55, Springer-Verlag, 2010.
T-N. Do, V-H. Nguyen, F. Poulet. GPU-based parallel SVM algorithm. in Journal of Frontiers of Computer Science and Technology, Vol.3(4): 368-377, 2009.
T-N. Do and F. Poulet. Interval Data Mining with Kernel-based Algorithms and Visualization. Chapter 5 in Mining Complex Data for Knowledge Discovery: Advances and Applications, Studies in Computational Intelligence Vol.165: 75-91, Springer-Verlag, 2009.
F. Poulet and T-N. Do. Interactive Decision Tree Construction for Interval and Taxonomical data. in Visual Data Mining: Theory, Techniques and Tools for Visual Analytics, Lecture Notes in Computer Science Vol.4404: 123-135, Springer-Verlag, 2008.
T-N. Do et J-D. Fekete. V4Miner pour la fouille de données. in Review of Artificial Intelligence, Vol.22/3-4: 503-517, 2008.
N-K. Pham, T-N. Do, F. Poulet et A. Morin. Tree-view pour l'exploration interactive des arbres de décision. in Review of Artificial Intelligence, Vol.22/3-4: 473-487, 2008.
T-N. Do and F. Poulet. Vis-SVM : approche coopérative en fouille de données. in Numéro Spécial Visualisation et Extraction de Connaissances, Revue des Nouvelles Technologies de l'Information – Série Extraction et Gestion des Connaissances RNTI-E-7: 49-74, 2006.
F. Poulet and T-N. Do. Mining Very Large Datasets with Support Vector Machine Algorithms. in Enterprise Information Systems V, Kluwer Academic Publishers, 2004, pp. 177-184.
- Edited book
T-N. Nguyen, T-N. Do, S. Benferhat. Second International Conference on ISDS (Intelligent Systems and Data Science) 2024.
T-N. Nguyen, T-N. Do, P. Haddawy. First International Conference on ISDS (Intelligent Systems and Data Science) 2023.
P. Lenca, S. Lallich, T-N. Do. QIMIE Workshop (Quality Issues, Measures of Interestingness and Evaluation of Data Mining Models). PAKDD Workshops 2015.
F. Poulet, B. LeGrand, T-N. Do and M-A. Aufaure. Acte de l'Atelier Visualisation et extraction de connaissances. 9èmes Journées d'Extraction et Gestion des Connaissances 2009.
F. Poulet, B. LeGrand, T-N. Do. Acte de l'Atelier Visualisation et extraction de connaissances. 8èmes Journées d'Extraction et Gestion des Connaissances 2008.
- Conference, workshop
M-T. Nguyen, T-T. Ma, T-N. Do. ImageNet Classification Using the Random Oblique Stumps Algorithm on the Graphics Processing Unit. (to appear) in proc. of Intl Conf. on Applied Mathematics and Computer Science 2024 (ICAMCS 2024), Springer, 2025, pp. xx-yy.
T-V. Ha-Thi, B-A. Nguyen, T-N. Do. Enhancing Rice Yield Prediction using Vision Transformer and Regression Models. in proc. of IEEE International Conference on Computing (ICOCO 2024), IEEE, 2024, pp. 273-278.
T-T. Vo, T-N. Do. Combining Self-Supervised Learning with Swin Transformer and Machine Learning Techniques for Chest X-ray Image Classification. in proc. of Intl Conf. on Advances in Information and Communication Technology 2024 (ICTA 2024), Springer, 2024, pp. 760-767.
T-T. Ma, H-N. Do, H. Nguyen, H. Doan, T-N. Do. Exploring Distillation Models for Cultural Heritage Preservation: Traditional Vietnamese Instruments. in proc. of Intl Conf. on Future Data and Security Engineering 2024 (FDSE 2024), Springer, 2024, pp. 254-268.
T-T. Vo, T-N. Do. Enhancing Efficiency of Multi-Label X-Ray Image Classification with Self-Supervised Learning Based On Compact Swin Transformers. in proc. of Intl Conf. on Future Data and Security Engineering 2024 (FDSE 2024), Springer, 2024, pp. 153-167.
M-T. Tran, T-P. Pham, T-N. Nguyen, T-N. Do. Fusing Models for Classifying Intangible Cultural Heritage Images in the Mekong Delta. in proc. of Intl Conf. on Intelligent Systems and Data Science (ISDS 2024), Springer, 2024, pp. 202-212.
T-D. Truong, P-H. Huynh, V-H. Nguyen, T-N. Do. Enhancing the Efficiency of Lung Disease Classification Based on Multi-modal Fusion Model. in proc. of Intl Conf. on Intelligent Systems and Data Science (ISDS 2024), Springer, 2024, pp. 55-70.
M-T. Tran-Nguyen, S. Benferhat, N. Chahinian, C. Delenne, T-N. Do. Building a Wastewater Network Graph from Inspection Videos. in proc. of Intl Conf. on Intelligent Systems and Data Science (ISDS 2024), Springer, 2024, pp. 188-202.
T-T. Ma, H. Nguyen, K. Nguyen, X. Nguyen, T-N. Do. ViTIP: AI-Powered Vietnamese traditional instrument preservation system using 3D space. in proc. of Intl Conf. on Intelligent Systems and Data Science (ISDS 2024), Springer, 2024, pp. 231-245.
T-N. Do, T-T. Vo. Federated Learning of Random Oblique Stumps Tailored on the Raspberry Pi Zero for the ImageNet Challenge. in proc. of Intl Conf. on Information Technology and Its Applications 2024 (CITA 2024), Springer, 2024, pp. 136-146.
T-H. Nguyen, T-N. Do. THASUM: Transformer for High-Performance Abstractive Summarizing Vietnamese Large-scale Dataset. in proc. of Intl Conf. on Information Technology and Its Applications 2024 (CITA 2024), Information and Communications Publishing House, 2024, pp. 100-111.
T-D. Truong, P-H. Huynh, V-H. Nguyen, T-N. Do. Multi-modal image-text fusion for respiratory disease classification. (to appear) in proc. of Intl Conf. on ICT Sustainable Development 2024 (ICT4SD 2024 2024), Springer, 2024, pp. 503-513.
N-T. Hon, T-T. Ma, T-N. Do. LAVETTES: Large-scAle-dataset Vietnamese ExTractive TExt Summarization Models. in proc. of Intl Conf. on Future Data and Security Engineering 2023 (FDSE 2023), Springer, 2023, pp. 273-288.
T-T. Trang, T-T. Ma, T-N. Do. LORAP: Local Deep Neural Network for Solar Radiation Prediction. in proc. of Intl Conf. on Future Data and Security Engineering 2023 (FDSE 2023), Springer, 2023, pp. 366-380.
T-T. Ma, T-N. Do, N-K. Pham, M-T. Tran-Nguyen, T-T. Vo, S. Benferhat. ViWaT: A Lightweight Ontology of the Vietnamese Wastewater Treatment Management with Biological Methodologies. in proc. of ENIGMA@KR 2023: 24-34.
T-T. Vo, T-N. Do. Biggest Margin Tree for the Multi-class Classification. in proc. of Intl Conf. on Future Data and Security Engineering 2023 (FDSE 2023), Springer, 2023, pp. 34-48.
T-T. Ma, T-N. Huynh, V-C. Tran, B-C. Phan, N-K. Pham, T-N. Do. PETSAI: Physical Education Teaching Support with Artificial Intelligence. in proc. of Intl Conf. on Intelligent Systems and Data Science (ISDS 2023), Springer, 2023, pp. 227-242.
T-N. Do, M-T. Tran-Nguyen. Improved Gene Expression Classification Through Multi-class Support Vector Machines Feature Selection. in proc. of Intl Conf. on Intelligent Systems and Data Science (ISDS 2023), Springer, 2023, pp. 119-130.
O. Et-Targuy, A. Begdouri, S. Benferhat, C. Delenne, T-N. Do, T-T. Ma. A Graph-Based Approach for Representing Wastewater Networks from GIS Data: Ensuring Connectivity and Consistency. in proc. of Intl Conf. on Intelligent Systems and Data Science (ISDS 2023), Springer, 2023, pp. 243-257.
T-T. Vo, T-N. Do. Building a Health Monitoring System. in proc. of Intl Conf. on Intelligent Systems and Data Science (ISDS 2023), Springer, 2023, pp. 81-94.
T-N. Do, M-T. Tran-Nguyen. Ensemble Learning with SVM for High-Dimensional Gene Expression Data. in proc. of Intl Conf. on Intelligent Systems and Data Science (ISDS 2023), Springer, 2023, pp. 29-40.
T-H. Nguyen, T-N. Do. Pre-training classification and clustering models for Vietnamese automatic text summarization. in proc. of Intl Conf. on Communication and Intelligent Systems (ICCIS 2022), Springer, 2022, pp. 65-77.
T-H. Nguyen, T-N. Do. Automatic Vietnamese Text Summarization with an Ensemble of Pre-trained Models. in proc. of Intl Conf. on Future Information & Communication Engineering (ICFICE 2023), 2023.
T-N. Do, M-T. Tran-Nguyen. ImageNet Challenging Classification with the Raspberry Pis: A Federated Learning Algorithm of Local Stochastic Gradient Descent Models. proc. of Intl Conf. on Future Data and Security Engineering 2022 (FDSE 2022), Springer, 2022, pp. 131-144.
T-H. Nguyen, T-N. Do. Extractive Text Summarization on Large Scale Dataset using KMeans Clustering. in proc. of 35th Intl Conf. on Industrial, Engineering and Other Applications of Applied Intelligent Systems, Springer, 2022, pp. 737-746.
T-H. Nguyen, T-N. Do. Extractive Text Summarization on Large-scale Dataset using K-Means Clustering and Word Embedding. in proc. of 5th Intl Conf. on Computer Networks and Inventive Communication Technologies (ICCNCT 2022), Springer, 2022, pp. 489-501.
T-T. Ma, N-K. Chau, Z. Bouraoui, T-N. Do. A Vietnamese Festival Preservation Application. in proc. of 15th Intl Conf. on Information Technology and Applications (ICITA 2021), Springer, 2022, pp. 449–460.
T-N. Do, H-A. Le-Thi. Training Support Vector Machines for Dealing with the ImageNet Challenging Problem. in proc. of Intl Conf. on Modelling, Computation and Optimization in Information Systems and Management Sciences 2021 (MCO 2021), Springer, 2021, pp. 235-246.
T-N. Do, M-T. Tran-Nguyen. Training Deep Network Models for Fingerprint Image Classification. in proc. of Intl Conf. on Modelling, Computation and Optimization in Information Systems and Management Sciences 2021 (MCO 2021), Springer, 2021, pp. 327-337.
T-N. Do. Multi-class Bagged Proximal Support Vector Machines for the ImageNet Challenging Problem. in proc. of Intl Conf. on Future Data and Security Engineering 2021 (FDSE 2021), Springer, 2021, pp. 99-112.
T-N. Do, M-T. Tran-Nguyen, T-T. Trang, T-T. Vo. Deep Networks for Monitoring Waterway Traffic in the Mekong Delta. in proc. of Intl Conf. on Modelling, Computation and Optimization in Information Systems and Management Sciences 2021 (MCO 2021), Springer, 2021, pp. 315-326.
T-N. Do, T-P. Pham, and M-T. Tran-Nguyen. Fine-tuning Deep Network Models for Classifying Fingerprint Images. in proc. of 2020 12th Intl Conf. on Knowledge and Systems Engineering (KSE), IEEE 2020, pp. 79-84.
T-P. Pham, M-T. Tran-Nguyen, M-T. Tran, and T-N. Do. Combining Support Vector Machines for Classifying Fingerprint Images. in proc. of Intl Conf. on Future Data and Security Engineering 2020 (FDSE 2020), Springer, 2020, pp. 399-410.
T-T. Ma, S. Benferhat, Z. Bouraoui, K. Tabia, T-N. Do, N-K. Pham. An Automatic Extraction Tool for Ethnic Vietnamese Thai Dances Concepts. in proc. of 18th IEEE Intl Conf. on Machine Learning And Applications (ICMLA 2019), IEEE, 2019, pp. 1527-1530.
P-H. Vo, T-S. Nguyen, V-T. Huynh, T-C. Vo and T-N. Do. Secure and Robust Watermarking Scheme in Frequency Domain Using Chaotic Logistic Map Encoding. in proc. of Intl Conf. on Computer Science, Applied Mathematics and Applications (ICCSAMA 2019), Springer, 2019, pp. 346-357.
T-N. Do, T-P. Pham, N-K. Pham, H-H. Nguyen, K. Tabia and S. Benferhat. Stacking of SVMs for classifying intangible cultural heritage images. in proc. of Intl Conf. on Computer Science, Applied Mathematics and Applications (ICCSAMA 2019), Springer, 2019, pp. 186-196.
P-H. Huynh, V-H. Nguyen, and T-N. Do. A combined enhancing and feature extraction algorithm to improve learning accuracy for gene expression classification. in proc. of Intl Conf. on Future Data and Security Engineering 2019 (FDSE 2019), Springer, 2019, pp. 255-273.
T-N Do, H-H Nguyen, T-P Pham. Bag-SVM-SGD for dealing with large-scale multi-class datasets. in proc. of FAIR'19, National Symposium Fundamental & Applied IT Research, Vietnam, 2019.
P-H. Huynh, V-H. Nguyen, and T-N. Do. Random ensemble oblique decision stumps for classifying gene expression data. in proc. of Intl Symposium on Information and Communication Technology 2018 (SoICT 2018), pp.137-144.
T-N. Do and M-T. Tran-Nguyen. Automatic hyper-parameters tuning for local support vector machines. in proc. of Intl Conf. on Future Data and Security Engineering 2018 (FDSE 2018), Springer, 2018, pp. 185-199.
P-H. Huynh, V-H. Nguyen, and T-N. Do. A coupling support vector machines with the feature learning of deep convolutional neural networks for classifying microarray gene expression data. in proc. of Modern Approaches for Intelligent Information and Database Systems, Springer, 2018, pp. 233-243.
T-T. Ma, S. Benferhat, Z. Bouraoui, T-N. Do and H-H. Nguyen. Developing Application Based Upon An Ontology-Based Modelling of Vietnamese Traditional Dances. in proc. of The 3rd Intl Conf. on Digital Heritage, 2018, pp. 319-325.
T-T. Ma, S. Benferhat, Z. Bouraoui, K. Tabia, T-N. Do and H-H. Nguyen. An Ontology-based Modelling of Vietnamese Traditional Dances. in proc. of The 30th Intl Conf. on Software Engineering & Knowledge Engineering, 2018.
M-T. Tran-Nguyen, L-D. Bui, Y-G. Kim and T-N. Do. Decision tree using local support vector regression for large datasets. in proc. of Asian Conf. on Intelligent Information and Database Systems 2018 (ACIIDS 2018), Springer, 2018, pp. 255-265.
P-H. Vo, T-S. Nguyen, V-T. Huynh and T-N. Do. A robust hybrid watermarking scheme based on DCT and SVD for copyright protection of stereo images. in proc. of NAFOSTED Conf. on Information and Computer Science (NICS 2017), 2017, pp. 331-335.
T-N. Do, N-K. Pham, T-P. Pham, M-T. Tran-Nguyen and H-H. Nguyen. Parallel Bag-SVM-SGD for classifying very high-dimensional and large-scale multi-class datasets. in proc. of Siggraph Asia workshop-D2AT, ACM, 2017.
L-D. Bui, M-T. Tran-Nguyen, Y-G. Kim and T-N. Do. Parallel algorithm of local support vector regression for large datasets. in proc. of Intl Conf. on Future Data and Security Engineering 2017 (FDSE 2017), Springer, 2017, pp. 139-153.
T-N. Do, M-T. Tran-Nguyen. Incremental parallel support vector machines for classifying large-scale multi-class image datasets. in proc. of Intl Conf. on Future Data and Security Engineering 2016 (FDSE 2016), Springer, 2016, pp. 20-39.
T-N. Do, F. Poulet. Classifying very high-dimensional and large scale multi-class image datasets with Latent-lSVM. in proc. of CBDCom2016, The IEEE Intl Conf. on Cloud and Big Data Computing 2016, pp. 714-721.
T-N. Do, F. Poulet. Régression logistique pour la classification d'images à grande échelle. in proc. of EGC2016, RNTI-E-30, Revue des Nouvelles Technologies de l'Information - Série Extraction et Gestion des Connaissances, Cépaduès Editions, 2016, pp. 309-320.
T-N. Do, F. Poulet. Random local SVMs for classifying large datasets. in proc. of Intl Conf. on Future Data and Security Engineering 2015 (FDSE 2015), Springer, 2015, pp. 3-15.
T-N. Do. Using local rules in random forests of decision trees. in proc. of Intl Conf. on Future Data and Security Engineering 2015 (FDSE 2015), Springer, 2015, pp. 32-45.
T-N. Do, F. Poulet. Parallel multiclass logistic regression for classifying large scale image datasets. in Advanced Computational Methods for Knowledge Engineering Studies in Computational Intelligence, Springer, 2015, pp. 255-266.
T-N. Do. Non-linear classification of massive datasets with a parallel algorithm of local support vector machines. in Advanced Computational Methods for Knowledge Engineering Studies in Computational Intelligence, Springer, 2015, pp. 231-241.
T-V. Le, M-T. Tran-Nguyen, N-K. Pham and T-N. Do. Forests of oblique decision stumps for classifying very large number of tweets. in proc. of Intl Conf. on Future Data and Security Engineering 2014 (FDSE 2014), Springer, 2014, pp. 16-28.
T-N. Do, S. Moga and P. Lenca. Random forest of oblique decision trees for ERP semi-automatic configuration. in proc. of Multiple Model Approach to Machine Learning (MMAML 2014), Springer, 2014, pp. 25-34.
T-N. Do and N-K. Pham. Handwritten Digit Recognition Using GIST Descriptors and Random Oblique Decision Trees. in proc. of the first NAFOSTED Conference on Information and Computer Science 2014 (NICS'14), 2014, pp. 285-296.
T-N. Doan, T-N. Do and F. Poulet. Parallel incremental SVMs for classifying a million of images with very-high-dimensional signatures into thousands of classes. in proc. of Intl Joint Conf. on Neural Networks 2013, IEEE, pp. 2976-2983.
T-N. Doan, T-N. Do and F. Poulet. Large Scale Visual Classification with Parallel, Imbalanced Bagging and Incremental LIBLINEAR SVM. in proc. of Intl Conf. on Data Mining 2013, CSREA Press, pp. 197-203.
T-N. Doan, T-N. Do and F. Poulet. Large scale visual classification with many classes. in proc. of Intl Conf. on Machine Learning and Data Mining, Springer-Heidelberg, 2013, pp. 629-643.
T-N. Doan, T-N. Do and F. Poulet. Large scale image classification with many Classes, multi-features and very-high-dimensional signatures. in Advanced Computational Methods for Knowledge Engineering Studies in Computational Intelligence Volume 479, 2013, pp. 105-116.
T-N. Doan, T-N. Do and F. Poulet. Multi-way classification for large scale visual object dataset. in proc. of Intl Workshop on Content-Based Multimedia Indexing, 2013, pp. 185-190.
T-N. Do. Detection of Pornographic Images Using Bag-of-Visual-Words and Arcx4 of Random Multinomial Naive Bayes. in Journal of Science and technology, Special Issue on Theories and Application of Computer Science, Vol.49(5): 13-24, 2011.
T-N. Nguyen, T-N. Do and L. Schmidt-Thieme. Learning optimal threshold on resampling data to deal with class imbalance. in proc. of RIVF'10, IEEE Intl Conf. on Computer Sciences: Research and Innovation - Vision for the Future, IEEE Press, 2010, pp. 71-76.
T-N. Do, P. Lenca and S. Lallich. Enhancing network intrusion classification through the Kolmogorov-Smirnov splitting criterion. in Journal of Science and technology, Special Issue on Theories and Application of Computer Science, Vol.48(4): 50-61, 2010.
T-N. Nguyen, T-N. Do, L. Schmidt-Thieme. Learning optimal threshold for Baysian posterior probabilities to mitigate the class imbalance problem. in Journal of Science and technology, Special Issue on Theories and Application of Computer Science, Vol.48(4): 38-49, 2010.
T-N. Do, S. Lallich, N-K. Pham and P. Lenca. Un nouvel algorithme de forêts aléatoires d'arbres obliques particulièrement adapté à la classification de données en grandes dimensions. in proc. of EGC2009, RNTI-E-15, Revue des Nouvelles Technologies de l'Information - Série Extraction et Gestion des Connaissances, Cépaduès Editions, 2009, pp. 79-90.
F. Poulet, T-N. Do and V-H. Nguyen. SVM incrémental et parallèle sur GPU. in proc. of EGC2009, RNTI-E-15, Revue des Nouvelles Technologies de l'Information - Série Extraction et Gestion des Connaissances, Cépaduès Editions, 2009, pp. 103-114.
T-B. Nguyen, P. Lenca, T-N. Do and F. Poulet. Visualisation de réseaux d'experts. in proc. of Atelier Visualisation et extraction de connaissances, EGC2009, pp. 1-5.
T-N. Do, N-K. Pham and F. Poulet. Une méthode anthropocentrée pour la construction d'arbres de décision. in proc. of Atelier Visualisation et extraction de connaissances, EGC2009, pp. 33-43.
T-N. Do, V-H. Nguyen and F. Poulet. A Novel SVM Algorithm for Massive Classification Tasks. in proc. of ADMA'08, Intl Conf. on Advanced Data Mining And Applications, Springer-Verlag, 2008, pp. 147-157.
T-N. Do, V-H. Nguyen and F.Poulet. A Fast Parallel Support Vector Machine Algorithm for Massive Classification Tasks. in proc. of MCO'8, Intl Conf. on Modelling, Computation and Optimization in Information Systems and Management Sciences, CCIS 14, Springer-Verlag, 2008, pp. 425-434.
N-K. Pham, T-N. Do, P. Lenca and S. Lallich. Using local node information in decision trees: coupling a local decision rule with an off-centered. in proc. of DMIN'08, Intl Conf. on Data Mining, CSREA Press, 2008, pp. 117-123.
P. Lenca, S. Lallich, T-N. Do and N-K. Pham. A comparison of different off-centered entropies to deal with class imbalance for decision trees. in proc. of PAKDD'2008, The Pacific-Asia Conference on Knowledge Discovery and Data Mining, Springer-Verlag, 2008, pp. 634-643.
T-N. Do and V-H. Nguyen. A Novel Speed-up SVM Algorithm for Massive Classification Tasks. in proc. of RIVF'08, IEEE Intl Conf. on Computer Sciences: Research and Innovation - Vision for the Future, IEEE Press, 2008, pp. 215-220.
N. Elmqvist, T-N. Do, H. Goodell, N. Henry and J-D. Fekete. ZAME: Interactive Large-Scale Graph Visualization. in proc. of the IEEE Pacific Visualization Symposium 2008, IEEE Press, 2008, pp. 215-222.
T-N. Do, J-D. Fekete and F. Poulet. Algorithmes rapides de boosting de SVM. in proc. of EGC2008, RNTI-E-11, Revue des Nouvelles Technologies de l'Information - Série Extraction et Gestion des Connaissances, Cépaduès Editions, 2008, pp. 297-308.
T-N. Do, N-K. Pham, S. Lallich and P. Lenca. Expérimentation de l’entropie décentrée pour le traitement des classes déséquilibrées en induction par arbres. in proc. of Atelier Qualité des données et des connaissances, EGC2008, pp. 39-49.
T-N. Do and J-D. Fekete. Fouille de données à l'aide d'un environnement de programmation visuelle. in proc. of Atelier Visualisation et extraction de connaissances, EGC2008, pp. 81-92.
T-N. Do and J-D. Fekete. Large Scale Classification with Support Vector Machine Algorithms. in proc. of ICMLA'07, Intl Conf. on Machine Learning and Applications, IEEE Press, 2007, pp. 7-12.
T-N. Do, F. Poulet and J-D. Fekete. Massive Data Mining via Boosting of Least Squares SVM Algorithm. in proc. of RIVF'07, IEEE Intl Conf. on Computer Sciences: Research and Innovation - Vision for the Future, 2007, pp. 47-52.
T-N. Do and F. Poulet. Classification de grands ensembles de données avec un nouvel algorithme de SVM. in proc. of EGC2007, RNTI-E-9, Revue des Nouvelles Technologies de l'Information - Série Extraction et Gestion des Connaissances, Cépaduès Editions, Vol.2, pp. 739-750, 2007.
T-N. Do, N-K. Pham and F. Poulet. Exploration interactive de résultats d'arbre de décision. in proc. of EGC2007, RNTI-E-9, Revue des Nouvelles Technologies de l'Information - Série Extraction et Gestion des Connaissances, Cépaduès Editions, Vol.1, pp. 157-168, 2007.
N-K. Pham, T-N. Do, F. Poulet and A. Morin. Interactive Exploration of Decision Tree Results. in proc. of ASMDA’07, Intl Symposium on Applied Stochastic Models and Data Analysis 2007.
T-N. Do and H-A. Le-Thi. Classifying large datasets with SVM. in proc. of Intl Conf. on Computational Management Science 2007.
N-K. Pham, T-N. Do, F. Poulet and A. Morin. Exploration interactive des arbres de décision. in proc. of Atelier Visualisation et extraction de connaissances, EGC2007.
T-N. Do and J-D. Fekete. Flot visuel de données. in proc. of Atelier Visualisation et extraction de connaissances, EGC2007.
T-N. Do and F. Poulet. Kernel-based algorithms and visualization for interval data mining. in proc. of Intl Workshop on Mining Complex Data - MCD'06 - In Conjunction with IEEE ICDM'06, pp. 295-299.
T-N. Do and F. Poulet. SVM incrémental, parallèle et distribué pour le traitement de grandes quantités de données. in proc. of EGC2006, RNTI-E-6, Revue des Nouvelles Technologies de l'Information - Série Extraction et Gestion des Connaissances, Cépaduès Editions, Vol.1, pp. 47-52, 2006.
T-N. Do and F. Poulet. Classifying one billion data with a new distributed SVM algorithm. in proc. of RIVF'06, IEEE Intl Conf. on Computer Science, Research, Innovation and Vision for the Future, IEEE Press, 2006, pp. 59-66.
N-K. Pham and T-N. Do. Tree-View : post-traitement interactif pour des arbres de décision. in proc. of Atelier Visualisation et extraction de connaissances, EGC2006, pp. 103-110.
T-N. Do. Towards simple, easy-to-understand, an interactive decision tree algorithm. 9th National Conf. in computer science, 6/2006.
T-N. Do and F. Poulet. SVM et visualisation pour la fouille de grands ensembles de données. in proc. of EGC2005, RNTI-E-3, Revue des Nouvelles Technologies de l'Information - Série Extraction et Gestion des Connaissances, Cépaduès Editions, Vol.2, pp. 545-556, 2005.
T-N. Do and F. Poulet. Mining Very Large datasets with SVM and Visualization. in proc. of ICEIS'05, Intl Conf. on Entreprise Information Systems: Artificial Intelligence and Decision Support Systems, 2005, pp. 127-141.
T-N. Do and F. Poulet. Kernel Methods and Visualization for Interval Data Mining. in proc. of ASMDA'05, Intl Symposium on Applied Stochastic Models and Data Analysis 2005, 2005, pp. 345-354.
T-N. Do and F. Poulet. A Simple, Fast Support Vector Machine Algorithm for Data Mining. in proc. of ECML/PKDD'05 Workshop on Knowledge Discovery from Data Streams, 2005, pp. 87-94.
T-N. Do and F. Poulet. Interval Data Mining with SVM and Visualization. in proc. of RIVF'05, Intl Conf. on Computer Science, Research, Innovation and Vision for the Future, 2005, pp. 197-203.
H-T Do, N-K Pham and T-N Do. A simple, fast support vector machine algorithm for data mining. in proc. of FAIR'05, National Symposium Fundamental & Applied IT Research, Vietnam, 2005, pp. 13-22.
T-N. Do and F. Poulet. Enhancing SVM with Visualization. in proc. of Discovery Science 2004, Springer-Verlag, 2004, pp. 183-194.
T-N. Do and F. Poulet. Fouille de grands ensembles de données avec un boosting de proximal SVM. in proc. of EGC2004, RNTI-E-2, Revue des Nouvelles Technologies de l'Information - Série Extraction et Gestion des Connaissances, Cépaduès Editions, Vol. 1, pp. 229-240, 2004.
T-N. Do and F. Poulet. Towards High Dimensional Data Mining with Boosting of PSVM and Visualization Tools. in proc. of ICEIS'04, Intl Conf. on Entreprise Information Systems: Artificial Intelligence and Decision Support Systems, Vol. 2, pp. 36-41, 2004.
T-N. Do and F. Poulet. Cooperation between Visualization Methods and SVM Algorithms for Data Mining. in proc. of MCO'04, Computer Sciences, Modelling, Computation and Optimization in Information Systems and Management Sciences: Data Mining Theory, Systems and Applications, Hermes Science, 2004, pp. 569-576.
T-N. Do and F. Poulet. Interprétation graphique des résultats de SVM. in CD-ROM of SFDS'04, XXXVIème Journées de Statistiques, Montpellier, 2004.
T-N. Do and F. Poulet. SVM incrémental pour l'analyse d'expressions de gènes. in proc. of RIVF2004, Rencontre de Recherche Informatique Vietnam et Francophonie, 2004, pp. 215-220.
T-N. Do and F. Poulet. Mining Very Large Datasets with Support Vector Machine Algorithms. in proc. of ICEIS'03, Intl Conf. on Enterprise Information Systems: Artificial Intelligence and Decision Support Systems, Vol. 2, pp. 140-147, 2003.
T-N. Do and F. Poulet. Incremental SVM and Visualization Tools for Bio-medical Data Mining. in proc. of ECML/PKDD'03 Workshop on Data Mining and Text Mining in Bioinformatics, Cavtat-Dubrovnik, 2003, pp. 14-19.
T-N. Do and F. Poulet. Interactive Visualization Tools for Visual Data-Mining. in proc. of HCP'03, Mini-EURO Conf., Human Centered Processes, Luxembourg, 2003, pp. 299-303.
T-N. Do and F. Poulet. Fouille de textes de l'aide de proximal SVM. in proc. of RIVF'03, Rencontre de Recherche Informatique Vietnam et Francophonie, 2003, pp. 33-36.
T-N. Do and F. Poulet. IC-PSVM : un algorithme de SVM incrémental pour la classification de données bio-informatiques. in proc. of Atelier A3 : Apprentissage machine et Bioinformatique, Plateforme AFIA 2003.
F. Poulet and T-N. Do. SVM parallélisé pour classifier un milliard de données. in proc. of SFC'02, IXème Rencontres de la Société Francophone de Classification, 2002, pp. 301-304.
T-N. Do. Visualisation en extraction de connaissances à partir de données. in proc. of JDOC'04, Journée des Doctorants, Ecole Polytechnique de l'Université de Nantes, 2004.
Miscellaneous writings
- Technical report
J-D. Fekete, N. Elmqvist, T-N. Do, H. Goodell and N. Henry. Navigating Wikipedia with the Zoomable Adjacency Matrix Explorer. INRIA Research Report, Technical Report No. RR:00141168, 2007.
T-N. Do and F. Poulet. La catégorisation de textes. Rapport de contrat Fondation Vediorbis. ESIEA Recherche, Laval, 2004.
- Thesis
T-N. Do. Visualisation et séparateurs à vaste marge en fouille de données. Thèse de Doctorat de l'Université de Nantes, Décembre 2004.
T-N. Do. Visualisation et fouille de données. Rapport de DEA, Université de Nantes, Juillet 2002.
Professional Service
- Workshop Organization
QIMIE 2015 is organized in association with the PAKDD 2015 conference, with Prof. P. Lenca, Prof. S. Lallich
IEEE-RIVF 2015 International Conference on Computing and Communication Technologies, Workshop chair
VisECD 2009 is organized in association with the EGC 2009 conference, with Prof. F. Poulet, Prof. B. Legrand, Prof. M-A. Aufaure
VisECD 2008 is organized in association with the EGC 2008 conference, with Prof. F. Poulet, Prof. B. Legrand
- Program committee member, reviewer
ACML 2017-2019, The Asian Conference on Machine Learning
IJCAI 2019, The Intl Joint Conferences on Artificial Intelligence
KDIR 2014-2022, The Intl Conf. on Knowledge Discovery and Information Retrieval
MCO/ICCSAMA 2014,2015,2021, The Intl Conf. on Computer Science, Applied Math. and Appl.
FDSE 2014-2022, The Intl Conf. on Future Data and Security Engineering
ACOMPA 2022, The Intl Conf. on Advanced Computing and Analytics
SoICT 2018, The Intl Symposium on Information and Communication Technology
MAPR 2018-2019, The Intl Conf. on Multimedia Analysis and Pattern Recognition
VAST 2013, The IEEE Conf. on Visual Analytics Science and Technology
DS 2012, The Intl Conf. on Discovery Science 2012
ACIIDS 2010-2016, The Asian Conf. on Intelligent Information and Database Systems
ICTACS 2010-2011, The Intl Conf. on Theories and Applications of Computer Science
CIE39, The Intl Conf. on Computers & Industrial Engineering 2009
DMIN 2008-2010, The Intl Conf. on Data Mining
VIEW 2006-2007, Visual Information Expert Workshop
AusDM 2004, The Australasian Data Mining Conference 2004
ASMDA 2005, the Intl Symposium on Applied Stochastic Models and Data Analysis 2005
Atelier Qualité des Données et des Connaissances 2008-2011
Atelier Visualisation et extraction de connaissances 2005-2009
Journal of Intelligent Information Systems 2013
Journal of Experimental Algorithmics 2009
Advances in Knowledge Discovery and Management 2009
Pattern Recognition Elsevier 2008
RNTI, Revue des Nouvelles Technologies de l'Information, Cépaduès Editions, 2006-2008
MCO 2008, The Intl Conf. on Modelling, Computation and Optimization in Information Systems and Management Sciences 2008
I3, Information-Interaction–Intelligence, Cépaduès Editions, 2006
FAIR 2014-2022, Fundamental And Applied IT Research
ICTFIT 2008-2012, The National conference in computer science
- Invited seminars/talks
National Conference on Fundamental and Applied Information Technology Research, Vietnam, 11/2022
National Conference on Fundamental and Applied Information Technology Research, Vietnam, 08/2016
FIT, University of Technology HCM, Vietnam, 03/2014
LITA Metz, University of Lorraine, France, 12/2012
Faculty of Information Technology, Dong Thap University, Vietnam, 05/2011
Faculty of Information Technology, Bac Lieu University, Vietnam, 06/2011
An Giang University, Vietnam, 08/2010
Software Center of Cantho University, Vietnam, 04/2005
IRISA Rennes, France, 01/2005
- Ph.D. Advisor
Phuoc-Hung Vo. steganography. Can Tho University, Vietnam, Dec/2020
Phuoc-Hai Huynh. Gene expression classification. Can Tho University, Vietnam, Sept/2020
- Ph.D. Defense Committee
Xuan-Huyen Do. Developing the memory organization for CAPE. University of Hue, Vietnam, Jan/2023
Hong-Son Trang. Several approaches for solving the personal scheduling problem. University of Technology HCM, Vietnam, Jan/2022
Thanh-Tuyen Do Thi. Vietnamese document retrieval based on semantics. University of Information Technology HCM, Vietnam, Sept/2020
Cong-Chien Ta Duy. Building information extraction system based on computing domain ontology. University of Technology HCM, Vietnam, June/2017
Thanh-Son Nguyen. Time series mining. University of Technology HCM, Vietnam, May/2014
Emilien Gauthier. Evaluation du risque de maladie: conception d'un processus et d'un système d'information permettant la construction d'un score de risque adapté au contexte, application au cancer du sein. University of Bretagne, France, Jan/2013
Last update Jan 2025